CLEF 2026
CLEF 2026 Working Notes

Table of Contents

• Preface
  This volume contains the 511 working notes that were peer-reviewed and accepted for publication at CLEF 2026. Out of these, 46 are overviews of the labs and tasks, while 465 are the participants' working notes.

BioASQ: A Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering

• Overview of BioASQ Tasks 14b and Synergy14 in CLEF2026 1-19
  Anastasios Nentidis, Georgios Katsimpras, Anastasia Krithara, Georgios Paliouras
• Overview of MultiClinSum-2 at CLEF 2026: Data, Evaluation, and Results for Multilingual Clinical Case Report Summarization Across 15 Languages 20-64
  Miguel Rodríguez-Ortega, Eduard Rodríguez-López, Salvador Lima-López, Audrey Mash, Martin Krallinger
• Overview of the BioASQ BioNNE-R Task on Nested Biomedical Relation Extraction at CLEF 2026 65-74
  Igor Rozhkov, Natalia Loukachevitch, Elena Tutubalina
• Overview of ELCardioCC Task on Clinical Coding in Cardiology at BioASQ 2026 75-86
  Dimitris Dimitriadis, Vasiliki Patsiou, Eleonora Stoikopoulou, Achilleas Toumpas, Alexandra Bekiaridou, Athanasios Samaras, George Giannakoulas, Grigorios Tsoumakas
• Overview of GutBrainIE@CLEF 2026: Gut-Brain Interplay Information Extraction 87-122
  Marco Martinelli, Vanessa Bonato, Giorgio Maria Di Nunzio, Guglielmo Faggioli, Nicola Ferro, Benedikt Kantz, Ornella Irrera, Stefano Marchesin, Simone Merlo, Laura Menotti, Riccardo Michelotto, Gaia Tussardi, Federica Vezzani, Peter Waldert, Gianmaria Silvello
• Retrieval-Bound Generation: Lean RAG pipelines for Biomedical QA 123-145
  Diogo M. C. Antunes, Paulo R. C. Lopes, Francisco M. Couto
• Can LLMs Refine Their Own Keyword Search Strategies for Biomedical RAG? 146-159
  Samy Ateia, Udo Kruschwitz
• MedCascade: A Multi-Stage Cascaded Retrieval and Generation System for Biomedical Question Answering 160-175
  Artem Avdeiko, Pelinsu Topaloglu, Teresa Vaccari, Georgios Peikos
• Contrastive Learning for Efficient Reranking in Task 14B of the CLEF 2026 BioASQ Track 176-179
  Jan Bakker, Jaap Kamps
• UMUTeam at BioASQ 2026: Evaluating Medical-Domain Continual Pretraining for Spanish Clinical Case Report Summarization 180-193
  Tomás Bernal Beltrán, Jorge Gomez Navalon, Ronghao Pan, Pedro José Vivancos-Vicente, José Antonio García-Díaz
• System Description for BioNNE-R at BioASQ 2026: OpenNRE with Pre-trained Language Models and Threshold Calibration for Biomedical Nested Relation Extraction 194-206
  Savva Blinov
• Baymax at CLEF 2026: Leveraging XLM-RoBERTa and Semantic Label Embeddings for Greek Clinical Coding 207-213
  Georgios Chalkias, Panagiotis Amanatiadis, Glykeria Tsavlidou, Sotirios Malamas
• Do You Need a Frontier LLM, or Can Domain-Specific Encoders Compete in Gut–Brain Information Extraction? 214-241
  Aleksis Datseris, Mario Kuzmanov, Maria Barouh, Chiara Barbero, Matilde Canelas, Margarida Ramos, Rute Costa, Ivelina Nikolova-Koleva
• MediScribes at MultiClinSum-2: A Dutch-English Clinical Summarization System 242-256
  Maaike de Boer, Quirine Smit, Roos Bakker
• Cost-Pragmatic Quality Gating and Selection–Fusion Multi-Model Combiners for BioASQ Phase A+/B 257-278
  Dima Galat, Marian-Andrei Rizoiu
• Hierarchy-Aware Dense Retrieval for Greek Cardiology Clinical Coding at ELCardioCC 2026 279-288
  Fernando Gallego-Donoso, Salvador Lima-López, Eulalia Farré-Maduell, Lorenzo Pratesi, Martin Krallinger
• GetGut: A Multi-Stage Pipeline for Gut-Brain Axis Information Extraction 289-308
  Ernesto Garavito Molina, Sophus Jørgensen, Juan Manuel Rodriguez, Daniele Dell'Aglio
• SynapFlow at BioASQ@CLEF 2026: Retrieval-Augmented Generation with Diversity-Enhanced Hybrid Retrieval 309-329
  John Gibson, Eric Nyberg
• NCU-IISR: BioASQ 14b Phase A/A+, and Phase B Challenge 330-348
  Yi-Chieh Hung, Jen-Chieh Han, Hsi-Chuan Hung, Richard Tzong-Han Tsai
• How Far Can a Lightweight Multilingual Model Go on Clinical Summarization? 349-357
  Rabiu Ibrahim Abdullahi, Idris Abdulmumin
• CHASTE: Constrained Holistic Annotator System with onTological Entities 358-375
  Benedikt Kantz, Peter Waldert, Stefan Lengauer, Tobias Schreck
• Graph-Augmented Typed-Marker Models for Nested Biomedical Relation Extraction 376-391
  Lakshan Karunathilake, Shixiong Zhao, Hideaki Takeda
• Sparse Retrieval with Cross-Encoder Reranking and Heuristic Snippet Scoring for Biomedical Question Answering 392-399
  Aikaterini Maria Kouti, Ioannis Refanidis
• Agentic RAG with open-weight LLMs for Biomedical QA Task 14b 400-415
  Rohan Leekha, Daniel Gwon, Leslie Shing
• NightSun at CLEF 2026 GutBrainIE: A First-Place System for NER, Entity Linking, and Relation Extraction 416-430
  Yeyang Liu, Zhaohang Niu, Chunyu Li
• Exploring Data Augmentation Strategies for Biomedical NER: A Study on the GutBrainIE 2026 Shared Task 431-439
  Miguel Lourenço, Andre Lamurias
• ELiRF-UPV at BioNNE-R Task: Transfer Learning on Transformer-based Models for Biomedical Relation Classification 440-447
  Pere Marco Garcia, Vicent Ahuir, Marc Hurtado Beneyto, Antonio Molina Marco
• RaRaMi at MultiClinSum-2: Cross-Backbone QLoRA Fine-Tuning for Romanian Clinical Case-Report Summarization 448-459
  Radu Marin, Mihaita Lacusteanu, Rares-Alexandru Iancu
• TWIX: a Two-Stage Approach for End-To-End Named Entity Recognition and Relation Extraction 460-482
  Marco Martinelli, Laura Menotti
• SMTE – GutBrainIE@CLEF 2026: Biomedical Named Entity Recognition and Mention-Level Relation Extraction for the Gut-Brain Axis 483-496
  Sofia Maule, Giorgio Maria Di Nunzio
• Few but Deep vs. Many but Shallow: Comparing Licensed and Free Tool Sets for Agentic Biomedical Question Answering 497-513
  Nhung T.H. Nguyen, Ahmed Elnagger, Aditya Kashyap, Timothy Schultz
• InfoLab-FEUP at MultiClinSum-2: Agentic Multilingual Clinical Case Summarization with Biomedical Concept Enrichment 514-529
  Artur Oliveira, Tiago Rodrigues, Carla Teixeira Lopes
• q-MAP: sensitive QA systems with mapped question embeddings 530-538
  Dimitra Panou, Alexandros C. Dimopoulos, Manolis Koubarakis, Martin Reczko
• LSI_UNED at ELCardioCC 2026: Leveraging Clinical Entity Extraction for ICD-10 Coding in Greek Cardiology Reports 539-548
  Alicia Ramirez-Arrabe, Andres Duque, Juan Martinez-Romo
• LSI_UNED at BioNNE-R 2026: Improving Biomedical Relation Extraction Through Candidate Space Reduction 549-557
  Alicia Ramirez-Arrabe, Juan Martinez-Romo, Andres Duque
• LLM-Guided RAG: A Biomedical Retrieval System for BioASQ Synergy 2026 558-568
  Sukprasan Rattanapani, Alexandru Iulian Orhean, Jacob Furst, Daniela Raicu
• BIT. UA at BioASQ 14B: Modular Retrieval with pg_textsearch and Qdrant, and Agent-Based Answer Generation 569-593
  André Ribeiro, Rúben Garrido, Alexander Christiansen, Richard A. A. Jonker, Sérgio Matos
• NLP4Health at MultiClinSum-2 2026: Multilingual Clinical Case Report Summarization with Qwen Prompting and QLoRA 594-603
  Moutushi Roy, Dipankar Das
• GutHub: Tackling the GutBrainIE Task Through Entity Recognition, Disambiguation, and Relation Extraction 604-623
  Andreas Cornelius Rydder, Simon Bech Christensen, Dziugas Austys, Juan Manuel Rodriguez, Daniele Dell'Aglio
• A Multi-Stage Retrieval and Ensemble-Based Answer Generation Pipeline for Biomedical QA in BioASQ Task 14b 624-636
  Aniza Shahzadi, Muhammad Wasim, Muhammad Tayyab Waqar
• RMC at BioASQ 2026: A local RAG approach for end-to-end Biomedical QA 637-650
  Daniel Sims, Kassandra Williams, Sam Henry
• TEXA at GutBrainIE 2026: A Multi-Stage Approach for Entity Recognition, Linking, and Relation Extraction in Gut-Brain Biomedical Abstracts 651-666
  Danil Smirnov, Bita Khashechian, Giorgio Maria Di Nunzio
• A Multi-Component System for Multi-Label ICD-10 Classification of Greek Cardiology Discharge Summaries 667-679
  Nikolaos Strafiotis, Panteleimon Stanimeros, Vasiliki Katsara, Georgios Chalkias, Glykeria Tsavlidou, Stelios Magalios, Effrosyni Nalmpanti, Panteleimon Stamatakis
• MeSH for BioASQ Task 14B : A Lightweight Knowledge‑Enhanced RAG Pipeline 680-696
  Liuya Sun, Hua Yang, Jie Tang, Paulo Quaresma, Yifan Jia, Zhuowen Li
• BioASQ Phase B: Exploring Diverse Optimization Techniques and Testing Frameworks for Enhanced Bio-Answering Performance 697-730
  Richard Tzong-Han Tsai, Yen-Sung Chiu, Cheng-Yu Hou, Chen-Hau Hsu
• HSE NLP Team at BioASQ BioNNE-R: When Dev Lies: Domain Pretraining, Calibration, and the Limits of LLM Augmentation for Biomedical Nested Relation Extraction 731-750
  Airat Valiev
• Multilingual Clinical Summarization with LLMs: A Comparative Study of GRPO and Dynamic One-Shot Approaches 751-764
  Ane Varela, Arantza Casillas, Julene Viña, Nuria Lebeña, Maite Oronoz
• Health-NLP at the BioASQ 2026 Task B on Biomedical Semantic QA and GutBrainIE on Gut-Brain interplay Information Extraction Tasks 765-778
  Sebastian Volz, Bileam Scheuvens, Shrestha Ghosh, Harrisen Scells
• A Multistage Evidence Retrieval System for BioASQ Task 14b: Hybrid Retrieval, Reranking, and Snippet Selection 779-794
  Yun Wang
• Retrieval-Augmented Biomedical Question Answering with Weak-Question Recovery and Neural Reranking for BioASQ Task 14b 795-808
  Xueying Zhao, Lee Mai, Balaji Anandganesh

CheckThat!: Source Retrieval for Scientific Web Claims, Fact-Checking Numerical Claims, and Generating Full Fact-Checking Articles

• Overview of the CLEF-2026 CheckThat! Lab Task 1 on Source Retrieval for Scientific Web Claims 809-818
  Sebastian Schellhammer, Salim Hafid, Yavuz Selim Kartal, Katarina Boland, Dimitar Dimitrov, Konstantin Todorov, Stefan Dietze
• Overview of the CLEF-2026 CheckThat! Lab Task 2 on Fact-Checking Numerical Claims 819-829
  Venktesh V, Vinay Setty, Primakov Chungkham, Avishek Anand, Firoj Alam
• Overview of the CLEF-2026 CheckThat! Lab Task 3 on Generating Full Fact-Checking Articles 830-844
  Dhruv Sahnan, Tanmoy Chakraborty, Preslav Nakov
• NEXA at CheckThat! 2026: Hybrid Source Retrieval for Cross-Lingual Scientific Web Claims 845-868
  Paul Arlot, Andrea Di Tillo, Gaute Greiff Flagstad, Bita Khashechian, Danil Smirnov, Marco Tomaiuoli, Nicola Ferro
• MeVer at CheckThat! 2026: Cluster-Aware Hard-Negative Mining for Multilingual Scientific-Source Retrieval 869-883
  Juli Bakagianni, Symeon Papadopoulos
• RETRIX at CheckThat! 2026: Source Retrieval for Scientific Web Claims 884-897
  Fabio Baldan, Davide Donati, Alvise Garberino, Giancarlo Padoan, Marco Tessari, Nicola Ferro
• 2e1b at CheckThat! 2026: Comparing Pointwise, Pairwise, and Listwise Verifier Objectives Across Model Scales for Numerical Claim Verification 898-909
  Hasan Berke Bankoglu, Ege Aydin, Ege Ozbaran
• SEUPD Cobalt at CheckThat! 2026: Exploring Sparse and Neural Retrieval from Social Media Claims to Scientific Sources 910-930
  Filippo Battisti, Igor Da Silva, Matteo Trevisan, Milos Trifunovic, Tommaso Zogno, Nicola Ferro
• KhyontekAI at CheckThat! 2026: Multilingual Dense Retrieval and Cross-Encoder Reranking for Scientific Web Claims 931-944
  Bhargab Jyoti Bhuyan, Pritam Deka
• SAGASU at CheckThat! 2026: Combining Sparse and Dense Approaches for Implicit Source Retrieval 945-957
  Greta Brocco, Daniele Daccordo, Van Sang Ho, Davide Pinzan, Aurora Sancetta, Nicola Ferro
• FELLA at CheckThat! 2026: From BM25 to Stella, a Multilingual Pipeline for Scientific Source Retrieval 958-973
  Filippo Corradi, Enrico De Lorenzo Buratta, Luca Fantin, Alessandro Sartor, Lorenzo Tamburi, Nicola Ferro
• Awakened at CheckThat! 2026: X-IBIS: an Iterative Bi-Encoder Fine-Tuning with Hard-Negative Mining for Cross-Lingual Scientific Source Retrieval 974-984
  Maria-Diana Cotelin, Ciprian-Octavian Truică, Elena-Simona Apostol
• UTS at CheckThat! 2026: Cite-Frame Engineering for Generated Fact-Checking Articles 985-998
  Dima Galat, Marian-Andrei Rizoiu
• CheckMates at CheckThat! 2026: Combining Ranking Models and LLM Judges for Numerical Reasoning Trace Verification 999-1010
  Hana Ghanem, Maria Bassem, Marwan Torki, Nagwa El-Makky
• SourceMinds at CheckThat! 2026: NLI-Grounded Citation Auditing in a Multi-Agent Pipeline for Full Fact-Checking Article Generation 1011-1022
  Farhan Sharukh Hasan, Anirban Saha Anik, Eric Liu, Xiaoying Song, Mohotarema Rashid, Lingzi Hong
• Varytrieval at CheckThat! 2026: Combining Rule-Based String Matching and Dense Retrieval for Scientific Claim Source Retrieval 1023-1039
  Alica Hövelmeyer
• KNU Fact at CheckThat! 2026: Exploring context engineering and chain-of-thought strategies for fact-checking article generation 1040-1062
  Bohdan Karlash
• GippLab at CheckThat! 2026: Multilingual Numerical Claim Verification with QLoRA Trace Scoring 1063-1077
  Ahmad Raza Khawaja, Adam Moshe Lehavi
• Boyes Boys at CheckThat! 2026: Go big or go home 1078-1088
  Mattias Kvist, Derin Suzener, Eduardo Nazário, Osvald Svenaeus
• Outsider at CheckThat! 2026: Retrieval, Verification, and Generation for Multilingual Fact-Checking 1089-1108
  Quy Thanh Le, Ismail Badache, Maamar El Amine Hamri
• MG_CheckThat2026 at CheckThat! 2026: A Multilingual Cascade Pipeline for Scientific Claim Source Retrieval 1109-1119
  Junyi Li, Zhenyu Peng, Leilei Kong
• Ro at CheckThat! 2026: Evidence-Grounded Base Article Construction with Citation-Locked Rewriting for Full Fact-Checking Article Generation 1120-1127
  Jieren Luo, Jiacheng Tang, Kaichuan Lin, Zhongyuan Han
• AlexU CSED Digi at CheckThat! 2026: Generative Verifier and Fused Reranker-Verifier for Fact-Checking Numerical Claims 1128-1136
  Mahmoud M. Abdelaziz, Mohamed M. Masseoud, Marwan Torki, Nagwa El-Makky
• BoPC at CheckThat! 2026: Efficient Source Retrieval for Social Media Claims Using Two-Stage Dense and Cross-Attention Networks 1137-1150
  Nguyen-Phuc Mac, Minh-Phuc Mac, Vi Vo-An Nguyen, Dien X. Tran
• CheckMate at CheckThat! 2026: Fusion-Based Retrieval, Reasoning-Trace Ranking, and Citation-Controlled Article Generation 1151-1163
  Taha Munawar, Abdullah Amir, Faisal Alvi, Abdul Samad
• Infraglyph at CheckThat! 2026: Deep Hybrid Multi-Stage Scientific Source Retrieval from Implicit Social Media Claims 1164-1174
  Harsh Patel, Urvi Kava, Thomas Mandl, Sandip Modha
• PrompterSquad at CheckThat! 2026: Self-Distilled Hard Negatives and a Hybrid Pairwise–Listwise Ranker for Fact-Checking Numerical Claims 1175-1185
  Thai Son Pham, Ho Duy Tri Nguyen
• SciClaimSeekers at CheckThat! 2026: Retrieving Scientific Sources for Social Media Claims with LLM Reranking 1186-1193
  Mohotarema Rashid, Nansu Baniya, Anirban Saha Anik, Xiaoying Song, Lingzi Hong
• AKSH at CheckThat! 2026: A Tri-Model Ensemble Approach for Fact-Checking Numerical Claims 1194-1211
  Syed Hamza Raza, Abdul Karim, Faisal Alvi, Abdul Samad
• AKSH at CheckThat! 2026: A Three-Stage Multi-Agent Pipeline for Automated Fact-Checking Article Generation 1212-1224
  Syed Muhammad Kazim Raza, Faisal Alvi, Abdul Samad
• Claim2Source at CheckThat! 2026: Improving Multilingual Scientific Claim–Source Retrieval with Verification-based Re-Ranking 1225-1238
  Tobias Schreieder, Harsh Khandelwal, Yu-Ling Zhong, Michael Färber
• Leifus at CheckThat! 2026: A Lightweight Verifier for Multilingual Reasoning-Trace Ranking 1239-1250
  Hannan Shen, Hui Chen
• Team AKSH at CheckThat! 2026: Resource-Efficient Hybrid Retrieval for Multilingual Scientific Source Retrieval 1251-1260
  Sufyan Siddiqui, Faisal Alvi, Abdul Samad
• DS@GT ARC at CheckThat! 2026: LLM-Based Trace Ranking and Grouped Reward Modeling for Multilingual Numerical Claim Verification 1261-1270
  Sagnik Sinha, Shreyas Shrestha
• UCPH-RMT at CheckThat! 2026: Evaluating Text Summaries, Atomic Facts, and Semantic Triplets as RAG Context for Fact-Checking Article Generation 1271-1279
  Robin Svahn, Maria Maistro
• Einon at CheckThat! 2026: Reward Model with Confidence-Based Filtering for Numerical Claim Verification 1280-1286
  Jiacheng Tang, Jieren Luo, Kaichuan Lin, Zhongyuan Han
• LIMBO@GT ARC at CheckThat! 2026: Ensemble Models of Evidence-aware and Verdict Candidate Detector for Numerical Claim Verification 1287-1294
  Le Tao, Sirius Zhong
• SINAI-UGPLN at CheckThat! 2026: Dense Retrieval and Neural Reranking for Scientific Source Retrieval from Social Media Claims 1295-1305
  Mariuxi Toapanta, Miguel Ángel Garcia-Cumbreras, Luis Alfonso Ureña-López
• SINAI-UGPLN at CheckThat! 2026: Confidence-Aware Reasoning Trace Ranking for Numerical Claim Verification 1306-1319
  Mariuxi Toapanta, Miguel Ángel Garcia-Cumbreras, Luis Alfonso Ureña-López
• DS@GT ARC at CheckThat! 2026: A Verdict-Anchored Pipeline for Generating Fact-Checking Articles 1320-1330
  Hoang Thanh Thanh Truong, Shuyu Tian
• Jesters at CheckThat! 2026: Multilingual Scientific Source Retrieval with Hybrid Dense-Sparse Ranking 1331-1340
  Daksh Vaghasiya, Vasu Goti
• nadie at CheckThat! 2026: Numerical Reasoning-Enhanced Verifier for Fact-Checking Numerical Claims 1341-1348
  Miao Yu, Maxim Emelianov
• PEI at CheckThat! 2026: Investigating Query Normalization and Retrieve-and-Rerank Strategies for Linking Scientific Web Claims to Publications 1349-1362
  Farnoush Zeidi, Farnaz Zeidi, Roman Christof, Renate König, Liam Childs
• VeriFind at CheckThat! 2026: Enhancing Numerical Claim Verification via Fine-Tuned LLMs 1363-1371
  Diana Zhang, Xiaoying Song, Mohotarema Rashid, Anirban Saha Anik, Junhua Ding, Lingzi Hong

ELOQUENT: Evaluation of Generative Language Model Quality

• Overview and Joint Report of the Voight-Kampff Task of the ELOQUENT 2026 Lab for Evaluating Generative Language Model Quality 1372-1382
  Rohit Raj Gunti, J M Shalani Dilinika, Devadasu Ghanta, Dima Galat, V A Narayana, Raveendrababu Pakala, Venkateswara Reddy Reddyvari, Marian-Andrei Rizoiu, Juan Manuel Rodriguez, Siva Skandha Sanagala, Antonela Tommasel, Janek Bevendorff, Jussi Karlgren
• Overview of the Cultural Robustness and Diversity Task of the ELOQUENT 2026 Lab for Evaluating Generative Language Model Quality 1383-1391
  Maria Barrett, Georgios Stampoulidis, Jussi Karlgren, Josiane Mothe
• Overview of the PISA Quiz Item Generation Task of the ELOQUENT 2026 Lab for Evaluating Generative Language Model Quality 1392-1413
  Markarit Vartampetian, Sarah Bouaraba, Diandra Fabre, Said Ettejjari, Lorraine Goeuriot, Jussi Karlgren, Luis Francisco Vargas Madriz, Philippe Mulhem, Mario Piacentini, Didier Schwab, Katherina Thomas
• Overview of the PISA Quiz Item Scoring (Sensemaking) Task of the ELOQUENT 2026 Lab for Evaluating Generative Language Model Quality 1414-1449
  Pavel Šindelář, Ondřej Bojar, Mario Piacentini, Katherina Thomas, Said Ettejjari
• Metric Learning for Automated Rubric-based Answer Grading: A Bi-Encoder Approach 1450-1460
  Zerina Ahmetović, Mirza Olovčić
• The PC Attractor: Selective Generalization vs. Domain Collapse in a CORAL + KDE Ordinal Regression Pipeline 1461-1470
  David Condrey
• Few-Shot LLM-as-Judge with Language-Aware Translation for Multilingual Answer Scoring 1471-1482
  Dihan Dai, Jiajian Lu, Jing Zhang
• UTS at ELOQUENT 2026 Voight-Kampff: structural shifts in AI writing bypass state-of-the-art detectors 1483-1494
  Dima Galat, Marian-Andrei Rizoiu
• WSE-Research at CLEF 2026 ELOQUENT Sensemaking: LLM-Based Scoring of Student Answers to PISA Reading Comprehension Items 1495-1505
  Jonas Gwozdz, Andreas Both
• Cultural Robustness in Multilingual LLMs: The Toulouse IRIT Lab’s Participation in ELOQUENT at CLEF 2026 1506-1522
  Hajar Mekkaoui, Josiane Mothe
• University of Amsterdam at the CLEF 2026 ELOQUENT Cultural Robustness Task: Influence of Conversational Context, Personalization, and Prompt Framing on Cultural Signal Purity 1523-1532
  Bruno Nadalic Sotic, Bram Koorstra, Liza Borman, Jaap Kamps
• TU Wien Methodology 4 at ELOQUENT 2026: A Factorial Study of Retrieval and Reasoning for Cultural Robustness 1533-1539
  Seifeldin Negm, Zeyad Zohny, Kora Sulo, Ana Kormaku
• SRH-ReliableAI at the 2026 ELOQUENT Lab for Evaluating Generative Language Model Quality: CultuRAG for Cultural Robustness and Diversity 1540-1547
  Pratik Priyanshu, Swati Chandna
• Lightweight interpretable pipeline for automated short answer grading 1548-1557
  Filip Prášil, Antonín Otmar
• Team DArgk at the 2026 ELOQUENT lab for evaluating generative language model quality: Residuals of Humanity: AI Detection Evasion via GRPO Fine-Tuning 1558-1572
  Juan Manuel Rodriguez, Antonela Tommasel
• Investigating the Effect of Prompting Strategies on the Cultural Awareness of Large Language Models 1573-1586
  Pelinsu Topaloglu, Teresa Vaccari, Artem Avdeiko, Georgios Peikos

eRisk: Early Risk Prediction on the Internet

• Overview of eRisk 2026 Early Risk Prediction on the Internet: Symptom Ranking and Conversational Approaches for Depression and ADHD (Extended Overview) 1587-1617
  Anxo Pérez, Javier Parapar, Xi Wang, Fabio Crestani
• erisk_cedri at eRisk 2026 Task 1: Conversational Depression Detection Using LoRA-Adapted Symptom Classifiers 1618-1623
  Filipa Afonso, Rui Pedro Lopes
• erisk-cedri at eRisk 2026 Task 3: A Zero-Shot Ensemble Pipeline with Multi-Query Retrieval, NLI and Cross-Encoder Re-Ranking for ADHD Symptom Sentence Ranking 1624-1632
  Filipa Afonso, Rui Pedro Lopes
• erisk-cedri at eRisk 2026: MentalBERT with BDI-II Filtering and Empathy Detection for Contextualized Early Depression Detection 1633-1639
  Filipa Afonso, Rui Pedro Lopes
• PMH-Aqeel PsychAI Discovery Lab at eRisk 2026: Deep Multi-Turn Conversational Trajectory Mapping, Chronological Contextualization, and Low-Rank Persona Adaptation for Automated Depression Screening 1640-1645
  Muhammad Aqeel, Muhammad Fahad Khan, Mohammad Awais Khan
• PMH-Aqeel PsychAI Discovery Lab at eRisk 2026: Zero-Shot Bi-Encoder Alignment for Adult ADHD Symptom Retrieval 1646-1652
  Muhammad Aqeel, Muhammad Fahad Khan, Mohammad Awais Khan
• Awakened at eRisk 2026: A Multi-Agent LLM Architecture for Automated BDI-II Depression Screening via Simulated Clinical Interviews 1653-1661
  Cosmin-Gabriel Becheru, Ciprian-Octavian Truică, Elena-Simona Apostol
• Awakened at eRisk 2026: Contextualized Early Detection of Depression using DeBERTa Embeddings and Temporal MLP Classification 1662-1669
  Cosmin-Gabriel Becheru, Ciprian-Octavian Truică, Elena-Simona Apostol
• Awakened at eRisk 2026: Sentence Embedding-Based ADHD Symptom Ranking from Reddit Posts 1670-1676
  Cosmin-Gabriel Becheru, Ciprian-Octavian Truică, Elena-Simona Apostol
• NeuroRankUB at eRisk 2026: Embedding-Based Retrieval and Re-ranking for ADHD Symptom Search 1677-1688
  Teodora Berca, Daria Horga, Raluca Negoiță-Crețu, Antonia-Maria Popeangă
• Contextualized Early Detection of Depression on Social Media using BDI-II Guided Screening and MentalBERT Ensemble 1689-1699
  Trung Xuan Bui, Tho Thi Ngoc Le
• Snugi-AI-v2 @ eRisk 2026 Task 2: Early Depression Detection via a Learned Stopping Policy with Sustained Confidence Gate 1700-1710
  Yuwen Chiu
• SymptomAI @ eRisk 2026: Context-Aware Conversational Depression Detection 1711-1720
  Syeda Samah Daniyal, Fakeha Faisal, Yusra Faisal, Faisal Alvi, Abdul Samad
• SymptomAI @ eRisk 2026: Layered Retrieval for ADHD Symptom Sentence Ranking 1721-1729
  Syeda Samah Daniyal, Yusra Faisal, Fakeha Faisal, Faisal Alvi, Abdul Samad
• Amor-Fati at eRisk 2026 task 1: a Modular Architecture for Conversational Depression Detection 1730-1745
  Felipe de Souza, Ivandré Paraboni
• RecEarlyMind @ eRisk 2026: Conversational Depression Detection Using Transformer-Based Language Models 1746-1751
  Stergio Eugin, Beulah A, Sathvikha V, Suhirtha M P
• UNED-GELP at eRisk 2026: Conversational LLMs for Depression Detection 1752-1762
  Jorge Fernandez-Hernandez, Lourdes Araujo, Juan Martinez-Romo
• UNED-GELP at eRisk 2026: Temporal Architectures for Depression Detection 1763-1769
  Jorge Fernandez-Hernandez, Juan Martinez-Romo, Lourdes Araujo
• DS@GT ARC at eRisk 2026: Hybrid Multi-Agent LLM System with Structured Algorithmic Guidance for Conversational Depression Screening 1770-1788
  Victor Gong, David Guecha
• DS@GT-ARC at eRisk 2026 Task 3: Sparse, Semantic, and LLM Reranking for ADHD Symptom Sentences 1789-1798
  David Guecha
• LCDAA@eRisk 2026: Symptom-Level Evidence for Contextualized Early Detection of Depression 1799-1810
  Cielo Aholiva Higuera-Gutiérrez, Sergio Mendez-Mendoza, Jesús Antonio Navarrete-López, Joan Manuel Raygoza-Romero, Juliette Ninnie Lazo-Vazquez, Irvin Hussein López-Nava, Manuel Montes-Y-Gómez
• Multi-Strategy Early Risk Detection with Rule-Based Guardrails and Transformer Scoring: CLEF eRisk 2026 Task 2 Working Notes 1811-1820
  Chrispin Kabuya
• XAI-Guided Transfer Learning: Supervised Attention for Contextualized Early Depression Detection 1821-1829
  Xabier Larrayoz, Alicia Pérez, Panagiotis Papapetrou
• BUAP-CRC @ eRisk 2026: Conversational Depression Detection Using Judges Model 1830-1840
  Nahomi Montiel de Los Santos, María Claudia Denicia Carral
• SINAI at eRisk@CLEF 2026: Modular Conversational Systems for Depression Detection in LLM Personas 1841-1853
  Alba-María Mármol-Romero, María Dolores Molina-González, Manuel García-Vega, Arturo Montejo-Ráez
• DeepCare at eRisk 2026: Decoupling Risk Ranking from Latency-Aware Decisions for Contextualized Early Detection of Depression 1854-1865
  Gheorghe Nistor, Ana-Sabina Uban
• INSA-Lyon at eRisk 2026 Task 1: Multi-Agent BDI-II Assessment with Coverage Tracking and Post-hoc Correction 1866-1895
  Diana Nurbakova
• INSA-Lyon at eRisk 2026 Task 2: DUET, Dual-view Evidence Tracking for Contextualized Early Detection of Depression 1896-1917
  Diana Nurbakova
• INSA-Lyon at eRisk 2026 Task 3: CADRE, a Five-Run Pipeline for ADHD Symptom Sentence Ranking 1918-1929
  Diana Nurbakova
• AI-MH-Z at eRisk@ CLEF 2026: Ranking ADHD Symptom Sentences Using Weighted Semantic Embedding Strategies 1930-1937
  Zarana Ramani, Dr. Hiteishi Diwanji
• HUGETIME at eRisk 2026: Bucket-wise Evidence Pruning for Contextualized Early Depression Detection 1938-1948
  Ilho Shin, Hyunchul Kim, Chanyoung Park
• INSALyon2 at eRisk 2026 Task 1: Safety-First Hybrid Multi-Agent Pipeline for Conversational Depression Detection at eRisk 2026 1949-1962
  Sumit Shinde, Si Hui Ong, Diana Nurbakova
• Early Depression Detection from Contextualized Online Conversations using Sequential Modeling 1963-1968
  Eman Shlkamy, Wajdi Zaghouani
• lexxy at eRisk 2026: Conversational Depression Detection via LLM Personas Using a Multi-Strategy Two-Agent Pipeline 1969-1978
  Lakshika Singh Chouhan, Ritesh Kumar
• UET-PsyWar@eRisk 2026: Localized Context Encoding and Memory-Augmented Graph Networks for Early Detection of Depression 1979-1988
  Duc-Luong Tran, Phuong-Anh Chu, Hoang-Dat Do, Tu-Phuong Mai, Duy-Cat Can, Hoang-Quynh Le
• UET-PsyWar@eRisk 2026: Weakly Supervised Multi-View Scoring for ADHD Sentence Ranking 1989-1997
  Duc-Luong Tran, Phuong-Anh Chu, Hoang-Dat Do, Tu-Phuong Mai, Duy-Cat Can, Hoang-Quynh Le
• pjmathematician @ eRisk 2026 : Automating Conversational Depression Detection 1998-2006
  Poojan Vachharajani
• VANGUARD at eRisk 2026 Task 1: Conversational Depression Detection with LLM Personas 2007-2013
  Anamaria Vișan, Ciprian-Octavian Truică, Adrian Paschke, Elena-Simona Apostol
• VANGUARD at eRisk 2026 Task 2: Contextualized Early Detection of Depression 2014-2026
  Anamaria Vișan, Ciprian-Octavian Truică, Adrian Paschke, Elena-Simona Apostol
• VANGUARD at eRisk 2026 Task 3: ADHD Symptom Sentence Ranking 2027-2035
  Anamaria Vișan, Ciprian-Octavian Truică, Adrian Paschke, Elena-Simona Apostol
• upb-uottawa at eRisk@CLEF 2026: Detecting Depression Through LLM Persona Conversations 2036-2050
  Ioana-Raluca Zaman, Andrei-Gabriel Zanfir, Marc-Olivier Delisle, Juan Antonio Lossio-Ventura, Diana Inkpen, Stefan Trausan-Matu

EXIST: sEXism Identification in Social neTworks

• Overview of EXIST 2026: Physiological Data for Multimodal Sexism Characterization in Social Media (Extended Overview) 2051-2108
  Laura Plaza, Jorge Carrillo-de-Albornoz, Iván Arcos, Maria Aloy-Mayo, Paolo Rosso, Enrique García-Arias, Damiano Spina
• Team Marsad at EXIST 2026: End-to-End Vision-Language Fine-Tuning for Sexism Identification in Multilingual Memes and TikTok Videos 2109-2117
  Kholoud Khalil Aldous, Wajdi Zaghouani
• LLM-Based Zero-Shot Pipeline with Physiological Sensor Fusion for Sexism Detection in Memes 2118-2131
  Aryan Aryan, Somnath Banerjee
• Semantica at EXIST 2026: A Two-Stage Multimodal Approach for Sexism Categorization in Memes 2132-2139
  Mabrouka Bessghaier, Wajdi Zaghouani
• Bicocca_Unimib at EXIST 2026: Human-Centered Multimodal Sexism Detection in Memes with Physiological Signals 2140-2152
  Mattia Borgia, Marco Viviani
• Multimodal Sexism Identification and Characterization using Large Language Models and Gradient Boosting 2153-2177
  Kyriakos Chaviaras, Maria Lymperaiou, Athanasios Voulodimos
• A Multimodal Method for Sexism Identification Incorporating Visual Descriptions and Physiological Signals 2178-2187
  Yanfu Chen, Leilei Kong
• UMUTeam at EXIST2026: Multimodal Stacking Architecture for Sexism Detection in Short Videos 2188-2201
  Alba de-Rojas-Ortuño, Ronghao Pan, Rafael Valencia-García
• NeverChorizoInMyPaella at EXIST 2026: Multimodal Sexism Identification and Categorisation in TikTok Videos via Sequential Cascade Training and Visual Cross-Attention 2202-2215
  Giuseppe Di-Palma, Raúl Hernández-López
• AI Wizards at EXIST 2026: Hierarchical Soft-Label Learning for Multimodal Sexism Identification in Memes 2216-2225
  Matteo Fasulo, Antonio Gravina, Luca Tedeschini, Luca Babboni
• UNED-Annotate-Team at EXIST 2026: A Multimodal Multi-Task Approach to Sexism Identification in Memes 2226-2239
  Enrique Garcia-Arias, Laura Plaza, Jorge Carrillo-de-Albornoz
• ELiRF-UPV at EXIST 2026: Multimodal Fusion and Few-Shot LLMs for Sexism Detection in Memes and Videos 2240-2256
  Juan Alfonso García-Real, Vicent Ahuir, María José Castro-Bleda
• Detecting Sexism in Memes with Vision-Language Models for EXIST 2026 2257-2273
  Luis A. H. Miranda, Estela Monserrat Arriaga Santana, Aline Flores Reyes, Luis Eduardo Quintero Cuevas, Francisco F. López-Ponce, Gerardo Sierra
• DDAI-UNICC at EXIST-2026 Task 2: Human-Cognitive and Feedback-Driven Prompt Optimization for Sexism Detection 2274-2292
  Anna Llinares Llinares, Marc Franco-Salvador
• SPECTRA at EXIST2026: Sexism Prediction and Evaluation of Multimedia Content Through Physiological and Gaze Responses Analysis 2293-2302
  Stefano Mandelli, Giulia Rizzi, Aurora Saibene, Francesca Gasparini, Elisabetta Fersini
• UniKo at EXIST 2026: Integrating Physiological Sensor Signals Into a Multimodal Fusion Architecture for Sexism Detection in TikTok Videos 2303-2314
  Chinmay Marade, Marina Ernst, Frank Hopfgartner
• AIdonnow at EXIST 2026: Multimodal Text Reconstruction and Sensor Fusion for TikTok Sexism Detection 2315-2328
  Olaf Meneses Albalá, Javier Martínez Llinares
• Through the Eyes of the Beholder: Biometric and Demographic Conditioning for Multimodal Sexism Detection 2329-2344
  Ana-Maria Luisa Mocanu, Sebastian Mocanu, Ciprian-Octavian Truică, Elena-Simona Apostol
• CLIP-Based Multimodal Approach for Sexism Identification in Memes: Farabi University at EXIST 2026 Task 2.1 2345-2350
  Yermukhamed Moldakhan, Milana Bolatbek
• BioSentinel at EXIST 2026: Soft-Label Optimization with XLM-RoBERTa for Sexism Intent Classification in Memes 2351-2359
  Chandru Munisamy, Karthikeya Raguveer, Alapan Kuila
• FourBytes at EXIST 2026: Cross-Attention Multimodal Fusion for Sexism Detection in Memes 2360-2367
  Sujaudeen Nannai John, Thirumurugan Ravialagappan, Shrika Thota, Vishal Muralidharan, Shanmugam Karthikeyen Shivaanee
• MathAddicts at EXIST 2026: Heterogeneous Vision-Language Ensembles with Diverse PEFT Adapters for Multimodal Sexism Detection 2368-2377
  Yusuf Hasan Onkun, Ahmet Nedim Kocatürk, Haktan Cebeci, Yaşar Cengizhan Açıcı, Ahmet Sadık Demirci, Alperen Korkmaz, Ali Yıldız, Can Ekkazan
• Gemini-Enriched Probabilistic Modeling for Multimodal Sexism Characterization in Memes 2378-2399
  Sergio Ortiz Montesinos, Fernando Martínez Gómez
• Subjective Sexism Identification in Social Media Memes Using Multimodal Embedding Ensembles 2400-2411
  Sudharshan Ps
• Aegis Athena at EXIST 2026: Multimodal Sexism Detection in Short Videos via Cross-Attention Fusion 2412-2429
  Ruslan Pylypiv, Martina Szabóová
• alBERT-319 at EXIST 2026: Calibrating a Multimodal Sexism Classifier With Physiological Signals 2430-2441
  Alberto Rey
• Jow at EXIST 2026: Lightweight Multimodal Sexism Detection Across Memes and Videos with Demographic-Aware Soft-Label Learning 2442-2453
  Jonathan Santos da Silva, Rui Pedro Lopes, Ahmed Gamal Ali Ali Ibrahim, Gleifer Vaz Alves
• Multi-Task Cross-Modal Reasoning with Physiological-Aware Fusion for Sexism Detection in Memes 2454-2471
  Changxin Sun, Yong Lu, Leilei Kong
• SafetyNLP at EXIST 2026: Multimodal Sexism Detection in Memes Using LLM-Driven OCR Enhancement and LeWiDi Target Modeling 2472-2484
  Bogdan Tamba, Alexandru Petrescu, Ciprian-Octavian Truică
• Team tai6le at EXIST 2026: System Description 2485-2495
  Ji Wang, Shurong Chen, Hanqi Yang, Huanyu Dong, Tian Du
• CYUT at EXIST 2026: GPT-Enhanced Multilingual Ensemble for Sexism Detection in Memes 2496-2510
  Shih-Hung Wu, Yu Feng Huang
• Gated Multimodal Fusion with Neurophysiological Signals for Sexism Detection in Memes 2511-2522
  Diego Zuniga

FinMMEval: Multilingual and Multimodal Evaluation of Financial AI Systems

• Overview of FinMMEval 2026 Task 1: Multilingual Financial Multiple-Choice Question Answering 2523-2531
  Zhuohan Xie, Yuyang Dai, Rania Elbadry, Vanshikaa Jani, Georgi Georgiev, Dimitar Dimitrov, Fan Zhang, Xueqing Peng, Lingfei Qian, Jimin Huang, Jiahui Geng, Yankai Chen, Ye Yuan, Haolun Wu, Yuxia Wang, Ivan Koychev, Veselin Stoyanov, Mingzi Song, Yu Chen, Xue Liu, Preslav Nakov
• Overview of FinMMEval 2026 Task 2: Multilingual Financial Short-Answer Question Answering 2532-2540
  Zhuohan Xie, Xueqing Peng, Georgi Georgiev, Dimitar Dimitrov, Yuyang Dai, Rania Elbadry, Vanshikaa Jani, Lingfei Qian, Fan Zhang, Jimin Huang, Jiahui Geng, Yankai Chen, Ye Yuan, Haolun Wu, Yuxia Wang, Ivan Koychev, Veselin Stoyanov, Mingzi Song, Yu Chen, Xue Liu, Preslav Nakov
• Overview of FinMMEval 2026 Task 3: Live Financial Decision-Making Agents 2541-2551
  Zhuohan Xie, Lingfei Qian, Georgi Georgiev, Dimitar Dimitrov, Yuyang Dai, Rania Elbadry, Vanshikaa Jani, Xueqing Peng, Fan Zhang, Jimin Huang, Jiahui Geng, Yankai Chen, Ye Yuan, Haolun Wu, Yuxia Wang, Ivan Koychev, Veselin Stoyanov, Mingzi Song, Yu Chen, Xue Liu, Preslav Nakov
• HU_LLM_Fin @ FinMMEval 2026 Task 2: A Structure-Aware Hybrid RAG Pipeline utilizing Mixture-of-Experts 2552-2558
  Muhammad Affan, Muhammad Bilal Qureshi, Muhammad Hassan Shahzad, Faisal Alvi, Abdul Samad
• Language-Routed RAG and Direct Option Scoring for Multilingual Financial QA: DS@GT at FinMMEval 2559-2573
  Justice Ayela, Kabir Sahni
• Club GAIA - ESCOM @ FinMMEval 2026 Task 3: Multimodal Financial Decision Making via Compact GRPO Fine-Tuning of Quantized LLMs 2574-2605
  Jonatan Bustillos Cruz, Jesus Baruc Polvo Cuatianquiz, Rodrigo Esteban Morales Roldán, David Reyes Ramos
• IGT @ FinMMEval 2026 Task 2: Question-Type Prompting with Targeted Extraction for Multilingual Financial QA 2606-2622
  Yuwen Chiu
• TextSentinels @ FinMMEval 2026 Task 3: Multi-Asset Financial Decision Making Using Machine Learning and Financial Transformers 2623-2633
  Thenmozhi Durairaj, Amudhan A, Amrit Gopinath, Aakash Balasubramanian, Adithya Sivakumar
• TextSentinels @ FinMMEval 2026 Task 1: A Multilingual Routed Retrieval-Augmented System for Financial Multiple Choice Questions 2634-2642
  Thenmozhi Durairaj, Amrit Gopinath, Adithya Sivakumar, Amudhan A, Aakash Balasubramanian
• TextSentinels @ FinMMEval 2026 Task 2: Chronological Stabilization of a BM25-Grounded Multilingual Financial Question Answering Pipeline 2643-2650
  Thenmozhi Durairaj, Adithya Sivakumar, Aakash Balasubramanian, Amudhan A, Amrit Gopinath
• LinguaRank @ FinMMEval 2026 Task 2: LLM Translation and BAS-Tuned Chain-of-Thought for Multilingual Financial QA 2651-2659
  Awais Gill, Emaan Naveed Sheikh, Fatima Tu Zahra, Abdul Samad, Faisal Alvi, Sandesh Kumar
• FinSentinel v2 @ FinMMEval 2026 Task 3: Online Threshold Calibration and Cross-Asset Regime Gating for Live Financial Decision Making 2660-2671
  Awais Gill, Emaan Naveed Sheikh, Fatima Tu Zahra, Abdul Samad, Faisal Alvi, Sandesh Kumar
• On the Role of Tools in Agentic LLM-Based Trading Systems 2672-2685
  Maximilian Heil, Aleksander Pramov, Boyang Gong
• Calibrated Signals @ FinMMEval 2026 Task 3: Where Quant Meets Reasoning: A Multi-Agent Framework for Trading Intelligence 2686-2703
  Gaurav Jain, Hitesh Hitesh, Sachit Bhardwaj, Himanshu Behl, Sparsh Sundriyal, Prabal Gautam, Steven Zimmerman
• Calibrated Signals @ FinMMEval 2026 Task 2: Inference-Only Strategies for Cross-Lingual Financial Question Answering 2704-2717
  Gaurav Jain, Hitesh Hitesh, Sparsh Sundriyal, Sachit Bhardwaj, Himanshu Behl, Prabal Gautam, Steven Zimmerman
• Infraglyph @ FinMMEval 2026 Task 3: EdgeQuant Agent -- A Tiered Cognitive Memory Architecture 2718-2731
  Urvi Kava, Harsh Patel, Thomas Mandl, Sandip Modha
• A Multi-Agent Financial Intelligence Framework for Financial Decision Making 2732-2750
  Enjamu Lslam Khan, Alapan Kuila
• Working notes of TrustMe team in CLEF 2026 FinMMEval Track 3 2751-2763
  Shamik Kundu, Akiko Kaneshiro, Muneaki Imai
• fosu ltw @ FinMMEval 2026 Task 1: A Traceable Autoresearch Workflow for Multilingual Financial Multiple-Choice Answer Review 2764-2774
  Tingwei Liang, Kaichuan Lin, Yueran Qi, Zhongyuan Han
• TCLabs @ FinMMEval 2026: Systems for Tasks 1, 2 and 3 2775-2789
  Elvys Linhares Pontes, Mohamed Ben Jannet
• DS@GT at FinMMEval 2026 Task 2: FinNexus-Agentic Retrieval-Augmented Reranking Orchestration for Multilingual Financial Question Answering 2790-2800
  Dianze Liu, Sirui Li, Shuyu Tian
• CLaC @ FinMMEval 2026 Task 3: Sentiment-Augmented Deep Reinforcement Learning for Active Trading – An Alpha-Reward Approach 2801-2816
  Andrei Neagu, Eeham Khan, Leila Kosseim
• Amongus @ FinMMEval 2026 Task 3: Agentic Mk1 with Structured Multi-Agent Trading and TimesFM Forecasts 2817-2827
  Pawaris Panyasombat, Thanavin Denkavin, Natthawut Kertkeidkachorn
• Fin-Analyst at FinMMEval 2026 Task 3: A Live Hybrid Trading Agent with LLM Specialists and Rule-Based Signals 2828-2841
  Mohotarema Rashid, Lingzi Hong, Junhua Ding, K.S.M. Tozammel Hossain
• Pranshu Rastogi @ FinMMEval 2026: Systems for Tasks 1 and 2 - Prompt-Engineered Gemini for Multilingual and Cross-Lingual Financial Reports QA⋆ 2842-2851
  Pranshu Rastogi
• AI_TLfanclub at FinMMEval 2026 Task 1: Distilled Qwen Models for Multilingual Financial Exam Question Answering 2852-2862
  Do Thanh Duc, Nguyen Nhat Minh, Le Thanh Huong
• AI_TLfanClub at FinMMEval 2026 Task 2: FiSCO-RAG for Cross-Lingual Evidence Recall in Financial Question Answering 2863-2878
  Do Thanh Duc, Nguyen Nhat Minh, Le Thanh Huong
• pjmathematician @ FinMMEval 2026: Systems for Tasks 1,2 and 3 2879-2888
  Poojan Vachharajani

HIPE: Evaluating Accurate and Efficient Person–Place Relation Extraction from Multilingual Historical Texts

• Extended Overview of HIPE-2026: Evaluating Accurate and Efficient Person-Place Relation Extraction from Multilingual Historical Texts 2889-2922
  Juri Opitz, Maud Ehrmann, Corina Racle, Andrianos Michail, Matteo Romanello, Emanuela Boros, Simon Gabay, Simon Clematide
• DistilledGemma: Balanced Efficiency-Accuracy for Person-Place Relation Extraction from Multilingual Historical Articles 2923-2934
  Youssef Aboelwafa, Ahmed Samir, Nagwa Elmakky, Marwan Torki
• A Multitask Approach Based on RoBERTa, Temporal Transformer, and Person-Location Relation Extraction in Multilingual Historical Text 2935-2945
  Danileth Almanza González, Juan Carlos Martinez-Santos, Edwin Puertas
• Few-Shot Prompting with Large Language Models for Multilingual Person–Place Relation Extraction from Historical Documents 2946-2957
  Haojie Cao, Zhongyuan Han, Xianbing Duan
• Some LLMs Are Smaller Than Others: A Lightweight Linear Model for Relation Extraction Applied to Historical Documents 2958-2964
  Thomas Checchin, Adrien Guille, Nicolas Gutehrlé
• Scaffolding Large and Small Reasoning Models for Person-Place Relation Extraction 2965-2976
  Anna-Katharina Dick, Jürgen Hermes, Nils Reiter
• UMUTeam at HIPE-CLEF 2026: Person-Place Relation Extraction from Multilingual Historical Documents 2977-2991
  Jorge Gomez-Navalon, Tomas Bernal-Beltrán, Ronghao Pan, José Antonio García-Díaz, Rafael Valencia-García
• FI-CODE@HIPE-2026: Efficient Person-Place Relation Classification from Distance Heuristics to Prompted Language Models 2992-3004
  Lena Griesbeck, Moritz Hennen, Florian Babl, Michaela Geierhos
• Where Were They? Person-Place Relation Extraction in Multilingual Historical Archives 3005-3024
  Ron Keinan, Reut Tsarfaty
• Person-Place Relation Extraction in Historical Texts: A Dual Approach with Fine-Tuned NLI Encoders and SLMs at HIPE-2026 3025-3037
  Anderson Morillo, Edwin Puertas, Juan Carlos Martinez-Santos
• INSA Lyon at HIPE 2026: A Modular Ensemble Pipeline for Person–Place Relation Classification in Historical Newspapers 3038-3056
  Sang Nguyen, Ruixing Zheng, Diana Nurbakova, Killian Barrere
• MILRIT at HIPE 2026: From Generalist Relation Extraction to Multi-view Learning for Historical Person-Place Relations 3057-3065
  Ngan Ha Pham, Jose G. Moreno, Antoine Doucet
• Layer Freezing and Cost-Sensitive Learning for English Historical Relation Classification 3066-3071
  Rittik Ram, Souvik Soren, Sivaji Bandyopadhyay
• From Frozen Encoders to Multi-Agent LLM Pipelines: An Iterative Journey through Person–Place Relation Extraction in Multilingual Historical Texts 3072-3083
  Pradyuman Singh Shekhawat, Rohan Gupta
• Awakened at HIPE-2026: Knowledge-Augmented Prompting and Logic-Constrained Fine-Tuning for Person--Place Relation Extraction 3084-3092
  Dragoș-Mitruț Vasile, Elena-Simona Apostol, Ciprian-Octavian Truică
• Lightweight Person-Place Relation Extraction from Historical Newspapers with Dependency Graphs and Proximity Features 3093-3111
  Mlen-Too Wesley
• GippLab at HIPE 2026: Unlocking Person–Place Relation Extraction with the Qwen Model Family 3112-3120
  Shakib Yazdani, Jan Philip Wahle, Bela Gipp

ImageCLEF: Multimodal Challenges in Medicine, Science, Agritech, and Security

• Overview of ImageCLEFmedical 2026 – Medical Concept Detection and Caption Generation with Synthetic Data Extensions 3121-3144
  Hendrik Damm, Tabea M. G. Pakull, Lea Reinartz, Benjamin Bracke, Bahadır Eryılmaz, Praveen Nath, Raphael Brungel, Cynthia S. Schmidt, Henning Schafer, Asma Ben Abacha, Alba G. Seco de Herrera, Henning Müller, Christoph M. Friedrich
• Overview of the ImageCLEFmedical 2026 GANs task: Exploring fingerprint detection, privacy leakage, and synthetic medical image generation 3145-3163
  Alexandra Andrei, Mihai Gabriel Constantin, Mihai Dogariu, Dzmitry Karpenka, Yuri Prokopchuk, Ahmedkhan Radzhabov, Dan-Cristian Stanciu, Liviu Daniel Stefan, Vassili Kovalev, Henning Müller, Bogdan Ionescu
• Overview of ImageCLEFmedical 2026 – Visual Question Answering and Synthetic Image Generation for Gastrointestinal Tract 3164-3173
  Steven Hicks, Sushant Gautam, Michael Riegler, Pål Halvorsen, Vajira Thambawita
• Overview of the MEDIQA-CORE 2026 Task 1 on Brain Tumor Subtype Classification 3174-3185
  Asma Ben Abacha, Juampablo E. Heras Rivera, Daniel K. Low, Wen-Wai Yim, Jacob Ruzevick, Daniel D. Child, Mehmet Kurt
• Overview of the MEDIQA-CORE 2026 Task 2 on Radiology Report Discrepancy Assessment 3186-3193
  Asma Ben Abacha, Zhaoyi Sun, Wen-Wai Yim, Fei Xia, Meliha Yetisgen
• Overview of the 2026 ImageCLEFtoPicto Task: Investigating the Generation of Pictogram Sequences from an English Text Dataset 3194-3204
  Maja Hjuler, Diandra Fabre, Claire Lemaire, Benjamin Lecouteux, Didier Schwab
• Overview of the ImageCLEF 2026 Task on Multimodal Reasoning 3205-3221
  Dimitar Dimitrov, Ming Shan Hee, Momina Ahsan, Sarfraz Ahmad, Dimitrina Zlatkova, Georgi Pachov, Zhuohan Xie, Preslav Nakov, Ivan Koychev
• Overview of ImageCLEF 2026 Deepfake Task: Multimodal Detection and Generation of Deepfakes 3222-3253
  Dan-Cristian Stanciu, Andrei Radu, Radu George Bolborici, Marian Negru, Alexandru Florin Ene, Vlad Mihai Vasilescu, Ana Antonia Nicolae, Liviu Daniel Ștefan, Mihai Gabriel Constantin, Mihai Dogariu, Alexandra Georgiana Andrei, Bogdan Ionescu
• Overview of ImageCLEF2026 AI4AGRI AgriPotential Challenge: Viticulture Edition 3254-3263
  Mohammad El Sakka, Lotfi Chaari, Josiane Mothe
• Self-Augmented Audio-Visual Deepfake Detection with Zero-Shot Voice Cloning and Face Reenactment 3264-3276
  Servas Adolph, Emmanuel Edward, Gati Martin, Jiyoung Woo
• Frequency-Aware Multi-Head Learning for Long-Tailed Medical Concept Detection in ImageCLEFmed Caption 2026 3277-3289
  Bashar Alsaleh, Riad Sonbol, Zeinab Baghdadi
• AI Multimedia Lab at ImageCLEFmedical GANs 2026: Synthetic medical image generation and privacy analysis 3290-3299
  Alexandra-Georgiana Andrei, Mihai Gabriel Constantin, Mihai Dogariu, Dan-Cristian Stanciu, Liviu-Daniel Ștefan, Bogdan Ionescu
• Brihadaranyaka at ImageCLEF-Deepfake 2026: A Unified System for Generation and Detection with Anchor-Aligned Ensemble Calibration 3300-3342
  Anubhav Anubhav
• Brihadaranyaka at MEDIQA-CORE-Task-1 2026: A Frozen-Encoder Multimodal Ensemble with LLM Few-Shot Reasoning for Brain Tumor Subtype Classification under Modality Sparsity 3343-3359
  Anubhav Anubhav
• Brihadaranyaka at MEDIQA-CORE-Task-2 2026: A Text-Only Zero-Shot Pipeline with Explicit Severity-Decoupling Rules for Radiology Report Discrepancy Assessment 3360-3376
  Anubhav Anubhav
• Working Note for ImageCLEFtoPicto 2026: A Statistical Backoff Model for Next-Pictogram Prediction 3377-3382
  Sai Saranya B L
• MarsadLab at ImageCLEF 2026 Deepfake Detection and Generation: Warp-Based Image Generation and Ensemble Deepfake Detection 3383-3396
  Md. Rafiul Biswas, Wajdi Zaghouani
• MarsadLab at ImageCLEF 2026 Multimodal Reasoning: LoRA Fine-Tuned Vision Language Models for Multilingual Textual MCQ and Visual Open Question Answering 3397-3406
  Md. Rafiul Biswas, Wajdi Zaghouani
• cc_rmws at ImageCLEF 2026 Deepfake Task: Multi-Feature Audio Fusion and High-Frequency Image Modeling 3407-3419
  Cheng Chen, Xiaobing Zhou
• Parameter-Efficient Vision-Language Fine-Tuning for Gastrointestinal Endoscopy VQA with Structured Explainability and Safety-Oriented Reasoning 3420-3433
  Raisa Nusrat Chowdhury, Okib Islam, Ojonugwa Oluwafemi Ejiga Peter, Mahmudul Hoque, Frederick Akor Ejiga, Mahmudur Rahman
• Vocabulary-Constrained Seq2Seq Translation for Text-to-Pictogram Generation: A Fine-Tuned T5 Approach with Compound Token Injection at CLEF 2026 ToPicto 3434-3443
  Adithiyaa D, Lakshhmi Narayanan T, Lekshmi Kalinathan
• NeuroVietCH at MEDIQA-CORE-Task-1 2026: LLM-Guided Multimodal Distillation for Brain Tumor Subtype Classification 3444-3462
  Sy-Duy Dang, Duy-Long Tran, Ngoc-Vuong Chu, Viet-Hung Pham, Duyen Thi Le, Trung-Hieu Do, Duy-Cat Can, Hoang-Quynh Le
• UIT_HighDefinition at ImageCLEFmedical Caption 2026: Soft CUI-Guided Qwen3-VL Captioning 3463-3477
  Nguyen Tan Duy, Nguyen Thi Quynh Han, Nguyen Minh Triet, Thien B. Nguyen-Tat
• FAU at ImageCLEF 2026 Task on Multimodal Reasoning: Robust Candidate Scoring and Concise Multilingual Visual Answering 3478-3493
  Mohamed Elmashtooly, Vincent Christlein
• CARES: Calibrated Aspect-Reliable Explanations and Safety for Gastrointestinal VQA 3494-3501
  Syed Saad Hasan Emad, Itbaan Safwan, Muhammad Atif Tahir
• Cross-Architecture Detection and Constraint-Guided Generation for Audio-Visual Deepfake Evaluation: Lessons from ImageCLEF 2026 3502-3517
  Daniel Emakporuena, Raisa Nusrat Chowdhury, Syeda Alam, Ojonugwa Oluwafemi Ejiga Peter, Mahmudul Hoque, Oluwapemiisin G Akingbola, Mahmudur Rahman
• Retrieval Augmented Generation and Patch-Level Explainability applied to Medical Image Captioning with Small Visual Language Models 3518-3528
  Gabriel Freitas, Maria Bosco, Roberto Lotufo, Jayr Pereira, Diedre Carmo
• HULAT-UC3M at ImageCLEFtoPicto 2026: English Text-to-Pictogram Generation with T5 3529-3536
  Ismael Guzman-Colomina, Jose Luis Lopez-Cuadrado, Jesus Leonardo Lopez-Hernandez, Israel Gonzalez-Carrasco
• Evaluating Domain-Agnostic Retrieval-Augmented Generation for Gastrointestinal Medical VQA 3537-3541
  Tobias Abraham Haider, Poj Netsiri, Tuvshin Selenge, Felix Kapfer, Elina Messeritsch
• Towards Multimodal Text-to-Pictogram Generation and Evaluation 3542-3553
  Sami Ul Haq, Sheila Castilho
• Model-Intrinsic Attention as Explanation for Radiology Image Captioning 3554-3565
  Mahmudul Hoque, Raisa Nusrat Chowdhury, Ojonugwa Oluwafemi Ejiga Peter, Okib Islam, Rahmanul Hoque, Mahmudur Rahman
• Face-Aligned Image Ensembles and LFCC Audio Transformers for ImageCLEF 2026 Deepfake Detection 3566-3575
  Qingbiao Hu, Zhongyuan Han, Ziran Su, Jinghong Peng, Weibin Huang, Weilong Huang
• Hiwiy at ImageCLEFtoPicto 2026: Text-to-Picto Translation and Next-Pictogram Prediction 3576-3582
  Jiancheng Huang, Xueyang Qin, Zhongyuan Han
• SSN Tokatrons at Text to Picto 2026: Sequence-Trie Constrained Decoding with Seq2Seq for English-to-Pictogram Translation 3583-3589
  Varghese K James, Sree Krishna S, Sujith M, Prabavathy Balasundaram
• AUEB/DMST at ImageCLEFmedical Caption 2026 3590-3610
  Giorgos Karandreas, Panos Louridas
• DeepLens at ImageCLEFmedical 2026: A Continuation of CNN-Based Medical Concept Detection 3611-3620
  Bahareh Kavousi Nejad, Amir Hossein Salimi Rudsari, Sauleh Eetemadi
• GDPO-based Multi-Alignment Reward Optimization for Clinically Grounded Medical Image Captioning 3621-3647
  Hyun Jun Kim, Heeseung Shin, Minjun Kim, Changwon Lim
• Adversarial Deepfake Generation and an Investigation of Purification-Based Adversarial Detection 3648-3673
  Junghyun Kim, Seunghyun Kim, Jiyoung Woo
• Chaboom at ImageCLEF 2026 Deepfake Task: Multimodal Deepfake Detection and Generation 3674-3692
  Sehwan Kim, Youngchan Lee, Jinseo Kim
• Multi-Backbone Self-Supervised Ensembles for Audio Deepfake Detection and a Cross-Track Analysis of Generation–Detection Asymmetry 3693-3712
  Seunghyun Kim, Junghyun Kim, Jiyoung Woo
• T5 Fine-tuning for Text-to-Picto and Interpolated N-gram Modeling for Next Pictogram Prediction 3713-3722
  Kaiyi Li, Zhongyuan Han, Fuchuan Ye
• A Multi-Stage Extract-Verify-Answer Pipeline for Multilingual Exam Question Answering at ImageCLEF 2026 3723-3737
  Xiaocan Lin, Xueyang Qin, Zhongyuan Han
• Context Reconstruction and Hardware-Aware Memory Optimization for Cross-Lingual Visual OpenQA 3738-3745
  Haozhe Liu, Shoupei Wang, Guo Niu
• DS@GT at ImageCLEF 2026 MultimodalReasoning: Visual Multiple Choice Question Reasoning with Vision-Language Models 3746-3759
  Zhanxu Liu, Chengxi Zhang, Yue Li
• UNED-Martinez at ImageCLEF 2026 Task on Multimodal Reasoning: Hybrid Per-Language Prompting with Qwen2.5-VL-7B for Multilingual Visual OpenQA 3760-3770
  Fernando Martínez Marco
• Fine-Tuning BART for Spoken Utterance to Pictogram Sequence Generation in ImageCLEF 2026 3771-3777
  Gokul N V, Rohith S, Mirunalini P, Balakumaran S
• UIT_NEWRON at ImageCLEFmed MEDVQA-GI 2026: Canonical Post-Processing for Gastrointestinal Visual Question Answering 3778-3788
  Tan N. Nguyen, Bao N. Huynh-Dang, Thien B. Nguyen-Tat
• DS-MED Lab at ImageCLEFmedical Caption 2026: Clinical-Aware Routing for Hallucination Suppression and Pathology-Focused Medical Image Captioning 3789-3804
  Tien-Thinh Nguyen-Chi, Bao Quoc Pham Ho, Thien B. Nguyen-Tat
• UMUTeam at ImageCLEF 2026: Exploring Synthetic Data for Medical Image Captioning with a Q-Former-Based Vision-Language Model 3805-3815
  Ronghao Pan, Pedro José Vivancos-Vicente, Jorge Gomez Navalon, Tomas Bernal-Beltrán, José Antonio García-Díaz
• UFPE-Essex-UNED at ImageCLEFmed Caption 2026: Training-Free Multimodal RAG for Medical Image Captioning 3816-3828
  Heitor Pereira, Pedro Maranhão, Vitória Xavier, Tsang Ing Ren, Alba García Seco de Herrera, Vahid Abolghasemi
• Predicting Viticulture Potential through an Ensemble of U-Net and a Geospatial Foundation Model 3829-3838
  Jorge Ignacio Perez, Hwaai Kang Kee, Lucas Rassbach
• SRH-ReliableAI at ImageCLEF 2026 Task on Multimodal Reasoning: Fine-Tuning Thinking Vision-Language Models for Multilingual Exam Question Answering 3839-3850
  Pratik Priyanshu, Swati Chandna
• Transformer-Based Sequence-to-Sequence Modeling for English Text-to-Pictogram Translation 3851-3860
  Sudharshan Ps
• A Dual-Stream Spatial-Frequency Feature Learning Framework for Generalized Deepfake Detection 3861-3866
  Jayasree R, Mirunalini P, K A Muthukumar
• Textual Preprocessing and Multimodal Conditioning for Medical Image Captioning 3867-3878
  Sebastián Rascón-Cervantes, Graciela Ramirez-Alonso, David R. Lopez-Flores, A. Pastor López-Monroy
• DS@GT ARC: Geometric Filtering for Privacy Evaluation of CT Slice Generation 3879-3891
  Eric Regina, Richard Arnaud, Samir Hadi Cisneros
• Spatio-Temporal Deep Learning for Viticulture Potential Prediction and CNN-Based Crop Identification Using Sentinel-2 Satellite Imagery 3892-3904
  Janani S P, Ishana B, Mirunalini P
• MediFact at MEDIQA-CORE-Task-2 2026: Interaction-Aware Multimodal Fusion for Fine-Grained Radiology Report Discrepancy Analysis 3905-3913
  Nadia Saeed
• Empirical Privacy Without Differential Privacy: A Privacy–Utility Frontier Analysis of Synthetic CT Generation 3914-3928
  Md Ragib Shaharear, Ojonugwa Oluwafemi Ejiga Peter, Mahmudul Hoque, Briggs Dapiriye, Mahmudur Rahman
• Ensemble Approaches for GAN Membership Inference and Latent Vector Prediction 3929-3939
  Muhammad Annas Shaikh, Noor Un Nisa Shaukat, Hamna Inam Abro, Zara Masood, Muhammad Atif Tahir
• A Multi-Architecture Ensemble with Test-Time Augmentation and Adaptive Batch Normalization for Image Deepfake Detection 3940-3947
  Ravi Solanki
• Uncertainty-Aware Biomedical Image Concept Detection via CNN Ensembles 3948-3966
  Spyridon Stavrou, Dimitris Boutzounis, Anna Chatzipapadopoulou, Foivos Charalampakos, Kalliopi V. Dalakleidi, Yannis Panagakis, John Pavlopoulos
• Detecting GAN Training Data Usage in Synthetic Medical Images with Transfer Learning Approaches 3967-3975
  Bharathi Subrahmanian, Harish M
• NUSTPB at ImageCLEFmed Caption 2026: Medical Image Captioning with QLoRA-Adapted LLaVA-1.5 3976-3986
  Mihail Cristian Tatomir, Dan-Cristian Stanciu, Liviu-Daniel Ştefan
• From Perception to Explanation: A Multimodal Framework for GI Visual Question Answering 3987-3999
  Krishna Tewari, Sukomal Pal
• Seeing, Describing, and Explaining Medical Image Understanding via Retrieval and Multimodal Learning 4000-4016
  Krishna Tewari, Pyla Durga Naga Venkat Sohana, Sukomal Pal
• IReL_IIT(BHU) at MEDIQA-CORE-Task-2 2026: Hybrid Multimodal Learning for Radiology Report Discrepancy Analysis 4017-4029
  Krishna Tewari, Suhani Verma, Sukomal Pal
• UIT_Concabietbay at MEDIQA-CORE-Task-1 2026: Multimodal Embedding-Based Ensemble Learning for Brain Tumor Subtype Classification 4030-4042
  Nguyen Minh Thoi, Luu Nhat Quang, Thien B. Nguyen-Tat
• UIT_Worker at ImageCLEFmedical 2026: DenseNet-121 Full-Fit Medical Concept Detection with Asymmetric Loss 4043-4055
  Thai Q. To, Dinh C. Pham, Nhan H. Bui, Thien B. Nguyen-Tat
• DS@GT ARC at MEDIQA-CORE-Task-1 2026: Trimodal Model Fusion with Task-Specific Gates for Brain Tumor Subtype Classification 4056-4071
  Hoang Thanh Thanh Truong, Charles R. Clark
• DS@GT ARC at ImageCLEFmedical 2026: Architectural Diversity for Concept Detection and Foundation-Model Scaling for Caption Prediction in Medical Image Analysis 4072-4092
  Bowen Wang, Youwen Zhang, Ritesh Mehta
• Nika at ImageCLEF 2026 Task on Multimodal Reasoning: More Tokens, Fewer Trees — Test-Time Scaling for Small VLMs on Multilingual Visual MCQ 4093-4106
  Peng-Jian Yang, Spiros Baxevanakis
• zhai at ImageCLEF 2026 Task on Multimodal Reasoning: Prompt Design and Self-Consistency on a 4 B Open-Weight Thinking VLM 4107-4115
  Jinghe Zhai, Huihui Chen, Xinrui Qiu

JOKER: Humor Detection, Search, and Translation

• Overview of the CLEF 2026 JOKER Task 1: Humor-Aware Information Retrieval in English and Hinglish 4116-4129
  Poojan Vachharajani, Arjun Mukherjee, Jasvindar Singh, Krishna Tewari, Sukomal Pal, Jaap Kamps, Liana Ermakova
• Overview of the CLEF 2026 JOKER Task 2: Pun Translation from English to French 4130-4144
  Liana Ermakova, Yael Naud, Lilian Binet, Baptiste Dumas, Jaap Kamps
• Overview of the CLEF 2026 JOKER Task 3: Onomastic Wordplay Translation from English to French 4145-4153
  Liana Ermakova, Yael Naud, Lilian Binet, Jaap Kamps
• Overview of the CLEF 2026 JOKER Task 4: Humor Generation in English, French, and Spanish 4154-4179
  Igor Kuzmin, Anne-Gwenn Bosser, Jaap Kamps, Liana Ermakova
• Cross-Lingual Cognitive Synergy for Constrained Humor Generation in LLMs: SaLT Lab at CLEF 2026 JOKER Track 4180-4195
  Edward Ajayi, Prasenjit Mitra
• DUTH at CLEF JOKER 2026: Conservative Hybridisation for Humor-Aware Retrieval, Pun Translation, Onomastic Wordplay Translation, and Multilingual Humour Generation 4196-4220
  Georgios Arampatzis, Avi Arampatzis
• Cairo University at the CLEF 2026 JOKER Track Heuristic Pun-Morphology Features and Tree Ensembles for Humor-Aware Information Retrieval 4221-4236
  Fatimah Emad Eldin
• Testing LLMs on JOKER Task 3: Onomastic Wordplay Translation and Task 4: Humour Generation. UBO at CLEF 2026 4237-4245
  Liana Ermakova, Yaël Naud, Lilian Binet, Baptiste Dumas
• IROH: Insightful Ranking Of Humor using Multi-Stage Hybrid Retrieval with Rationale-Distilled LLM Judges for JOKER 2026 Track Task 1 English 4246-4262
  Ana-Maria Luisa Mocanu, Sebastian Mocanu, Ciprian-Octavian Truică, Elena-Simona Apostol
• From Words to Wit: Humor-Aware Information Retrieval in English and Hinglish 4263-4272
  Arjun Mukherjee, Krishna Tewari, Jasvindar Singh, Sukomal Pal
• TUKE Satira at the CLEF 2026 JOKER Track: Constant-Variable Optimization for English-French Pun Translation 4273-4286
  Ruslan Pylypiv, Maksym Kuznietsov, Martina Szabóová
• CLEF 2026 JOKER Track: Relevance-Aware Multilingual Retrieval for Humorous Wordplay 4287-4294
  Xinrui Qiu, Huihui Chen, Jinghe Zhai
• Searching for Sound-Meaning Collisions: Graph-Based Affordance Retrieval and Multi-Evaluator Ranking for Cross-Lingual Pun Translation at CLEF 2026 JOKER Task 2 4295-4306
  Russell Taylor, Adam Brikman, Prateek Awate
• University of Amsterdam at the CLEF 2026 JOKER Track 4307-4319
  Jesse van Bakel, Robin Flier, Ezra Smink, Jan Bakker, Jaap Kamps

LifeCLEF: AI Challenges for Biodiversity Understanding and Ecosystem Management

• Overview of AnimalCLEF 2026: Discovery and Re-identification of Individual Animals 4320-4331
  Lukas Adam, Kostas Papafitsoros, Dean A. Williams, Daniella Biffi, Lukas Picek
• Overview of BirdCLEF+ 2026: Acoustic Species Identification in the Pantanal, South America 4332-4348
  Stefan Kahl, Tom Denton, Holger Klinck, Hervé Goëau, Alexis Joly, Robert Planqué, Willem-Pier Vellinga, Larissa Sugai, Liliana Piatti, Wener Hugo Arruda Moreno, Mariana Motti Barbosa, Maximilian Eibl, Carolline Zatta Fieker, Carolina Martins Garcia, Daiene Louveira Hokama Sousa, João Emílio de Almeida Júnior, Ryan Christopher Kridler, Alyson Vieira de Melo, Mario Lasseck, Henning Müller, Matheus de Oliveira Neves, Matheus Gonçalves dos Reis, Lucas Korzune Sampaio Teles, Karl-L. Schuchmann, José Luiz Massao Moreira Sugai, Kirk Thiago Pedroso Azevedo, Priscila do Nascimento Lopes, Marinez Isaac Marques
• Overview of FathomNetCLEF 2026: Positive-Unlabeled Object Detection in Marine Images 4349-4356
  Laura Chrobak, Kevin Barnard, Kakani Katija
• Overview of PestCLEF 2026: Knowledge Graph Extraction from Plant Health Literature 4357-4368
  Robert Bossy, Marine Courtin, Louise Deléger, Xinzhi Yao, Claire Nédellec
• Overview of PlantCLEF 2026: Identify Multi-species Plants in Images of Vegetation Plots 4369-4380
  Giullio Martellucci, Ilyass Moummad, Hervé Goëau, Pierre Bonnet, Fabrice Vinatier, Alexis Joly
• CPU-Constrained Multi-Signal Pipeline for Bioacoustic Wildlife Monitoring: BirdCLEF+ 2026 Working Note 4381-4387
  Meryem Altundal
• Leveraging Public Resources as a Late Entrant in BirdCLEF+ 2026: An Empirical Study of Embedding-Space Ensemble Diversity and Its Limits 4388-4402
  Edidiong-Abasi Anwanane
• Listening to the Pantanal: Runtime-Constrained Distillation and Diversity-Aware Ensembling for BirdCLEF+ 2026 4403-4422
  Rashmi Banthia, Aman Kapoor, Stefano Morelli
• TaxaMoE: Taxa-Conditional Mixture of Experts for Multi-Taxa Passive Acoustic Monitoring in the Pantanal Wetlands 4423-4434
  Kritika Benjwal
• Decoupled Pipeline with Proposal Reranking and Score Fusion for Positive-Unlabeled Marine Species Detection 4435-4450
  Robert Brock, Sebastian Krupa, Jason Kahei Tam
• Frozen-Detector Cluster-Level Late Fusion for Positive-Unlabeled Marine Object Detection 4451-4471
  Bo-An Chen, Pin-Hao Shen, Yi-Yu Hsu
• Species-Specific Multi-Stage Clustering for Animal Re-ID 4472-4491
  Bo-An Chen, Pin-Hao Shen, Yi-Yu Hsu
• Adaptive Quadrat-Domain Fine-Tuning and Plot-Level Frequency Aggregation for PlantCLEF 2026 4492-4502
  Haitong Chen
• A Prototype-Constrained Discovery Clustering System for AnimalCLEF 2026 4503-4514
  Weiyi Chen, Dongrun Cao
• Class Interaction as Domain Recalibration: A Variance-Aware Sound-Event-Detection Pipeline for BirdCLEF+ 2026 4515-4529
  Yannan Chen
• Rank Before Fusion: A Calibration-Robust Three-Branch Bioacoustic Ensemble for BirdCLEF+ 2026 4530-4541
  Jingwei Cheng, Jinhao Zhao, Runlai Ran, Xiaojie Yuan, Yihang Wang
• Anchored Graph Clustering with Local Feature Matching for AnimalCLEF 2026 4542-4553
  Gilles Colling
• Offline Soundscape Validation and Rank-Blended CNN Ensembles for BirdCLEF+ 2026 4554-4565
  Gilles Colling
• Perch-Distilled ProtoSSM with Rigorous Post-Processing: A Case Study on BirdCLEF+ 2026 4566-4581
  Yifei Deng, Shane Deng
• Unifying State Space Models and Deep Audio Embeddings with Circadian-Ecological Priors for Bioacoustic Monitoring 4582-4604
  Dhruv Dukle
• Calibrated Similarity and Graph Clustering for Open-Set Animal Re-Identification 4605-4620
  Mohamed Elbassat, Seifeldin Elkerdany, Mohamed Elbialy, Gamal Abouelhamd, Jana Ghoneim, Assem Elkady, Mohamed Elboraay, Nelly Semenova
• Multi-Scale ViT Inference with Habitat-Fit Priors and kNN Retrieval for Multi-Species Plant Identification 4621-4638
  Alper Erten, Murilo Gustineli, Adrian Cheung
• GREBE: A near-training-free, class-extensible scorer for passive acoustic monitoring under vocabulary and domain shift 4639-4665
  Jack N. Etheredge
• Rapid Exploration of Foundation Models and Supervised Contrastive Learning for Open-Set Individual Animal Discovery 4666-4679
  Xiuxi Fan
• Cross-Mutated Semi-Supervised Learning and Selective State-Space Fusion for BirdCLEF+ 2026 Soundscape Recognition 4680-4702
  Musa Tur Farazi, Nufayer Jahan Reza
• Quantifying Domain Shift in Foundation Models for Ground Vegetation Imagery 4703-4722
  Stephen Foy, Simon McLoughlin
• Marine-Domain Semantic Transfer for Object Detection under Incomplete Annotations 4723-4733
  Grzegorz Haranczyk
• Knowledge Graph Extraction from Agricultural Pest Documents: A BiomedBERT Pipeline with NER and Relation 4734-4742
  Alin-Andrei Hemeci
• Frozen Taxonomy Projection and Conservative LTR method for FathomNetCLEF 2026 4743-4749
  Qingbiao Hu, Zhongyuan Han
• Beyond Domain Shift: A Three-Tier Diagnostic Framework for Multi-Species Plant Identification in Vegetation Quadrats 4750-4770
  Hamza Ahmed Ishrat, Sue Han Lee
• Lexicon Engineering and Gradient Boosting for Plant Pest Relation Extraction 4771-4795
  Lev Kokovkin
• Species-Aware Metric Graph Clustering for Animal Re-Identification and Discovery at AnimalCLEF 2026 4796-4805
  Biao Liu, Zihao Liang, Zhongyuan Han
• Partial-Label Evaluation of Prototype Networks with Temporal Aggregation in BirdCLEF+ 2026 4806-4817
  Tsz Chai Alan Liu
• What Moves, and What Misleads, the BirdCLEF+ 2026 Leaderboard: An Empirical Study Behind a 13th Place Multi-Taxon Soundscape System 4818-4830
  Guanrui Lu, Ethan Tsai
• Mixup Consistency Regularization for Noise-Robust Bioacoustic Classification for BirdCLEF 2026 4831-4849
  Antoine Masquelier
• Contextual Multi-Label Identification of Plant Species in Multi-Species Plots 4850-4859
  Andrea Carolina Menco Tovar, Jairo Serrano, Juan Carlos Martinez-Santos, Edwin Puertas
• Optimising the Measurable Layer: An Autonomous Agentic Workflow for BirdCLEF+ 2026 and Its Failure Modes 4860-4867
  Venkata Pushpak Teja Menta
• Can Tokens Compete? Token Representations against Supervised CNN Backbones for BirdCLEF+ 2026 4868-4885
  Anthony Miyaguchi, Murilo Gustineli, Adrian Cheung
• Vision-Language Guided Plant Localization for Multi-Label Species Prediction in Quadrat Images 4886-4898
  Desmond Khai Tie Oh, Abel Yu Hao Chai, Sue Han Lee
• Positive-Unlabeled Marine Object Detection with Class Mapping and CatBoost Reranking 4899-4905
  Junwei Peng, Xingrun Wang, Zhongyuan Han
• Exploration of Unsupervised Segmentation as a Foundation for Vision Graph Neural Networks in Individual Animal Re-Identification 4906-4920
  Sinan Pourazari
• BioNLP412: Knowledge Graph Extraction on Plant Pests from Web Documents 4921-4933
  Mihai Radu Radulescu, Tudor Gabriel Arabagiu
• Fine-Tuning of BioCLIP 2.5 with Taxonomic Heads for Multi-Species Plant Identification 4934-4964
  Arjun Raj, Manindra de Mel, Razeen Wasif, Will Brake
• Perch-Embedding Sequence Models and Rank Fusion for BirdCLEF+ 2026 Multi-Taxa Sound Identification 4965-4984
  Zhengyang Ren
• Bridging Single-Label Training and Multi-Label Inference with Vision Transformers for Vegetation Monitoring 4985-4996
  Carolin Alexandra Rickert, Tobias Haar
• Lineage-Aware Markov Partition Refinement for Multi-Species Animal Re-Identification 4997-5008
  Hanif Noer Rofiq
• Sree Krishna S at PestCLEF 2026: Knowledge Graph Extraction from Plant Pest Documents Using BioBERT-based NER and Marker-based Relation Classification 5009-5016
  Sree Krishna S, Varghese K James, Sujith M, Prabavathy Balasundaram
• Bioacoustic Species Detection at Scale: A Multi-Model Ensemble Approach with Taxonomic Consistency for BirdCLEF 2026 5017-5029
  Renuka Shanmugam
• Auditing Perch V2 in BirdCLEF++ 2026: An eBird Coverage Limit and No Detectable Hard-Selection Headroom 5030-5051
  Haochen Shi
• Hybrid Retrieval-Guided Knowledge Graph Extraction with Precision Repair for PestCLEF 2026 5052-5059
  Seine A. Shintani
• DS@GT ARC at AnimalCLEF 2026: Species-Aware Graph Construction for Multi-Species Animal Re-Identification 5060-5077
  Evan Smith, Anthony Miyaguchi, Snigdha Palamari, Danté Evangelista
• Mapping the Public Ceiling: Negative Results and a Platform-Constraint Hypothesis for BirdCLEF+ 2026 5078-5085
  Wei Meng Soh
• Matching the Baseline, and Why That Is Worth Writing About: A Post-Mortem of an AnimalCLEF 2026 Re-Identification Pipeline 5086-5099
  Deepak Swaroop, Veena Thenkanidiyoor, Dileep A D
• Public-Kernel Monoculture and Final-Selection Discipline in BirdCLEF+ 2026: A Negative-Results and Reproducibility Study 5100-5107
  Alexandru Tanasel
• Public Leaderboards Are Not Deployment Tests: A Reproducible CPU-Only Robustness Audit for BirdCLEF+ 2026 5108-5115
  Mathieu Weill
• A Species-Wise Clustering Pipeline with Salamander Edge Reliability Learning for AnimalCLEF 2026 5116-5125
  Fuchuan Ye, Zhongyuan Han, Kaiyi Li, Xingrun Wang
• Global Embeddings, Local Feature Matching, and Adaptive Validation Overfitting in Animal Re-Identification 5126-5145
  Maayan Yesharim, Yoav Ram
• FAU CAAI at FathomNetCLEF 2026: Multi-Architecture Ensembling with Distribution-Aware Test-Time Augmentation 5146-5168
  Dan Zimmerman, Shruti Shukla, George Sklivanitis

LongEval: Longitudinal Evaluation of IR Model Performance

• Extended Overview of the CLEF 2026 LongEval Lab on Longitudinal Evaluation of Model Performance 5169-5198
  Sarah Bouaraba, Timo Breuer, Matteo Cancellieri, Alaa El-Ebshihy, Maik Fröbe, Petra Galuščáková, Lorraine Goeuriot, Gabriel Iturra-Bocaz, Jüri Keller, Petr Knoth, Andreas Kruff, Philippe Mulhem, Florina Piroi, David Pride, Philipp Schaer, Didier Schwab
• Team OpenWebSearch at LongEval: Using Large Language Models for Relevance Feedback for Scientific Search 5199-5203
  Daria Alexander, Maik Fröbe, Gijs Hendriksen, Matthias Hagen, Djoerd Hiemstra, Martin Potthast, Arjen de Vries
• CIR at LongEval 2026: Ad-Hoc Scientific Retrieval, Topic Extraction From Query Logs, and User Simulation 5204-5220
  Can Bakirci, Alexander Brückner, Joshua Matthew Christian, Nadja Kahsai Debrezion, Carmelo Heinrich Antonino Di Pino, Abdelilah Imam, Kübra Kartal, Aaron Benjamin Klatt, Robin Klinkhammer, Yannick Mählmann, Lennard Michel, Emirhan Sahin, Leon Damian Thies, Vico Timmer, Andreas Kruff, Jüri Keller
• CIR at LongEval 2026: Manual Topic Creation and Concept Induction-Based Topic Generation 5221-5230
  Timo Breuer, Jüri Keller, Nolwenn Bernard, Philipp Schaer
• A Multi-Agent Approach with Similarity-Guided Judgment for Scientific Knowledge Retrieval and Answer Generation 5231-5241
  Zhenyang Cheng, Haoliang Qi, Yusheng Yi
• Temporal Stability in Scientific Information Retrieval: A Three-System Analysis for CLEF LongEval 2026 5242-5255
  Kumaran D, Janani Vr, Beulah A, Priyadharsini R
• Qrels-Grounded and Agentic LLM Query Expansion with Post-Processing Optimization for Longitudinal Scientific Topic Extraction 5256-5264
  Luis Mario Diaz Martinez, Jairo Serrano, Edwin Puertas, Juan Carlos Martinez-Santos
• DS@GT ARC at LongEval: Citation Integrity and Factual Grounding in Scientific QA 5265-5276
  Brandon Michaels, Brendon Johnson
• Hybrid Evidence-Aware User Simulation for Scientific Search Sessions at LongEval 2026 Task 3 5277-5286
  Santiago Andres Orejuela Cueter, Jairo Enrique Serrano Castañeda, Juan Carlos Martinez-Santos, Edwin Puertas
• VerbaNexAI at LongEval 2026 Task 4: Fully Local Temporal and Pairwise Evidence Selection for Scientific RAG 5287-5293
  Isaac David Sánchez Sánchez, Jairo Enrique Serrano Castañeda, Edwin Puertas, Juan Carlos Martínez-Santos
• Submitted and Diagnostic Analysis of Full-Text Temporal Retrieval for LongEval-Sci 5294-5308
  Haijian Wu, Yingdong Yang
• Candidate-Constrained Retrieval-Augmented Generation for LongEval-RAG: System Design and Empirical Analysis 5309-5323
  Yingdong Yang, Haijian Wu

PAN: Digital Text Forensics and Stylometry

• Overview of the third “Voight-Kampff” Generative AI / LLM Detection Task at PAN and ELOQUENT 2026 5324-5340
  Janek Bevendorff, Rohit Raj Gunti, Jussi Karlgren, Maik Fröbe, Martin Potthast, Benno Stein
• Overview of the Text Watermarking Task at PAN 2026 5341-5347
  Henry Plutz, Andreas Jakoby, Janek Bevendorff, Martin Potthast, Benno Stein
• Overview of the Multi-Author Writing Style Analysis Task at PAN 2026 5348-5355
  Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein
• Overview of the Plagiarism Detection Task at PAN 2026 5356-5369
  André Greiner-Petter, Yun-Ang Wu, Yuka Kitamura, Kon Woo Kim, Maik Fröbe, Bela Gipp, Akiko Aizawa, Martin Potthast
• Overview of the Reasoning Trajectory Detection Task at PAN 2026 5370-5383
  Minh Ngoc Ta, Kaiyang Wan, Yan Lin, Yuxia Wang, Preslav Nakov
• Generalizable AI Authership Verification via Adverserial Longformer: Beyond Seen LLMs 5384-5394
  Mhd Adnan, Riad Sonbol
• manexagirrezabal at PAN 2026: Machine Learning for Detecting Texts Automatically Generated by AI 5395-5399
  Manex Agirrezabal
• Team LatentAuthors at PAN 2026: DeBERTa with Genre-Aware Fine-Tuning for AI Text Detection 5400-5405
  Kholoud Khalil Aldous, Wajdi Zaghouani
• Team ENGsTF at PAN 2026: Hybrid Sparse-Dense Retrieval with Two-Stage Score Fusion for Generative Plagiarism Detection 5406-5412
  Farah Alkayyem, Tala Alkhateeb, Raghad Alhossny, Riad Sonbol
• Team RADAR at PAN 2026: Robust Adversarial-Resistant AI Text Detection 5413-5421
  Yusr Alqarni, Fahad Alghamdi
• Team Suspiciously Coherent at PAN 2026: We stacked two Qwens and hoped for the best 5422-5431
  Zuzanna Antoszewska, Natalia Maria Bryła, Alexandra Victoria Szczerba
• Fine-Tuning Fundamentals and Data Augmentation: DS@GT ARC at Voight-Kampff 2026 5432-5439
  Harshul Basava, Murilo Gustineli
• Team bedratiuk-lab at PAN 2026: From Embedding Similarity to Semantic Canonization for Generated Plagiarism Detection 5440-5445
  Leonid Bedratyuk, Anna Bedratiuk
• Team Bit-by-Bit at PAN 2026: Multi-Criterion Guardian Ensemble and Step Expert for Reasoning Trajectory Safety 5446-5462
  Ioana Branescu, Lavinia-Stefana Dragne, Traian-Ionut Becheru, Mihai Dascalu
• Team JLP at PAN 2026: Span-Based Hybrid Source Retrieval for Generative Plagiarism Detection 5463-5473
  Liam Kaan Cody, Peter Felix Panzitt, James Ernst Cox
• Writerslogic at PAN 2026: Process over Content for Robust Detection under Domain Shift 5474-5486
  David Condrey
• Team JRC-GENESIS at PAN 2026: SYN2 – Hybrid Watermarking via Keyed SYNonym Substitution and SYNtactic Signals 5487-5499
  Elisa Di Nuovo, Davide Colla, Quang Luong, Simone Ceppi
• Team narrators at PAN 2026: StyleGate: Dual-Branch LoRA on DeBERTa-v3 for Multi-Author Writing Style Analysis 5500-5505
  Abdallah Elsayed, Elbadry Mohammed, Nagwa El-Makky, Marwan Torki
• Team AlexU at PAN 2026: Improving Watermark Fidelity via Sentence-Level Generation Chunking 5506-5511
  Mazen Elsayed, Hossam Elshamy, Marwan Torki, Nagwa Elmakky
• Team AlexU at PAN 2026: Robust KGW Watermarking via Self-Referential Hashing and Amplified Bias 5512-5516
  Hossam Elshamy, Mazen Elsayed, Marwan Torki, Nagwa Elmakky
• Team Sinai at PAN 2026: Combining Stylometric Embeddings and IDF Features for Generative AI Text Detection 5517-5523
  César Espin-Riofrio, Arturo Montejo-Ráez, Janis Lara-Jama, Jeremy Castro-Illescas
• Team aimoment at PAN 2026: Content-Agnostic Contrastive Stylometry for Multi-Author Writing Style Analysis 5524-5534
  Momen Fawzy, Nagwa El-Makky, Marwan Torki
• Team aimoment at PAN 2026: Disagreement-Aware Ensemble for Robust AI Text Detection 5535-5546
  Momen Fawzy, Nagwa El-Makky, Marwan Torki
• Team aimoment at PAN 2026: Post-Hoc Synonym Watermarking with Dual-Key Type-Level Detection 5547-5556
  Momen Fawzy, Nagwa El-Makky, Marwan Torki
• Team avocadobeans at PAN 2026: Style Change Detection with DeBERTa, Evidence Aggregation and Sentence Length Embedding 5557-5563
  Lukasz Gagala
• Team threshdsnmj at PAN 2026: Lightweight Dual-Lens Evidence Modeling for Reasoning Trajectory Detection 5564-5574
  Jiacong He, Hui Chen
• Team FOSU at PAN 2026: Generative AI Text Detection via Part-of-Speech Style Injection Pre-training 5575-5584
  Yihao Jia, Junlang Liu, Leilei Kong
• Team SPCRC at PAN 2026: Multi-Encoder Ensemble with Sequential BiLSTM Refinement for Style Change Detection 5585-5594
  Shubhankar Kamthankar, Arti Yardi
• Team rheaveaura at PAN 2026: Stylometric-Enhanced Sentence Embeddings for Multi-Author Writing Style Change Detection 5595-5602
  Prisha Khalasi
• Team ULILLE at PAN 2026: Task-Routed Ettin Cross-Encoders for Multi-Author Writing Style Analysis 5603-5611
  Abderaouf Khelfaoui, Damien Sileo, Gabriel Loiseau
• AK-YS at PAN 2026: Towards Robust Machine-Generated Text Detection under Domain Shift and Obfuscation 5612-5617
  András Kovács, Yi Shi
• Team Asdkklkk at PAN 2026:ModernBERT-Based Source Detection for Mathematical Reasoning Trajectories at PAN 2026 5618-5626
  Zhankeng Liang, Zhongyuan Han, Xianbing Duan, Zhengqiao Zeng, Chang Liu
• Team xlbn at PAN 2026: Fusion of Multi-domain Features for Generative AI Authorship Verification 5627-5634
  Pinglun Liu, Aiguo Wang
• Turing team at PAN 2026: Adversarial Data Fine-tuned LLM for AI-Generated Text Detection 5635-5648
  Filip Milak, Sofia Fornaroli, Miquel Sánchez Queralt
• Team ChatOnly at PAN 2026: Hybrid N-Gram and DeBERTa AI Detection 5649-5654
  Tomas Nagy, Lukas Skopar
• Team Plagiarism-Detector.com at PAN 2026: Strong Detector, Moving Target — Adversarial Augmentation and Out-of-Distribution Findings 5655-5661
  Yurii Palkovskii, Alexei Belov
• shushantatudublin at PAN 2026: Robust Detection of AI-Generated Texts via Multi-Generator and Multi-Evasion Adversarial Training 5662-5673
  Shushanta Pudasaini, Luis Miralles-Pechuán, David Lillis, Marisa Llorens Salvador
• A Two-Channel Watermark: Combining SimMark and Sparse green listing 5674-5687
  Timon Rudolph, Noah Stadelmann
• Pinkey-bw at PAN 2026: Robust Generative AI Authorship Detection using RoBERTa and Stylometric Feature Fusion 5688-5695
  Bhavani Savalam, Matti Wiegmann
• eGrantha.ai at PAN 2026: Contrastive Representation Learning for Robust Generative AI Authorship Detection 5696-5704
  Anish Thapaliya, Shushanta Pudasaini, Bal Krishna Bal
• Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection 5705-5719
  Shantanu Thorat
• MiPV AI-IR at PAN 2026: Not Just Black Boxes, Interpretable AI-Generated Text Detection with Heterogeneous Signals 5720-5732
  Teresa Vaccari, Pelinsu Topaloglu, Artem Avdeiko, Georgios Peikos
• Team David Villate at PAN 2026 RoBERTa-LC, Length-Controlled Supervised Detection of AI-Generated Text 5733-5740
  Juan David Villate Lemus
• Contrastive Windowed Boundary Classification for Multi-Author Writing Style Analysis 5741-5750
  Anastasia Voznyuk, Ahmed Tammaa
• Team Fosuai at PAN 2026: Source Retrieval via Query-Chunk Provenance Modeling for Generative Plagiarism Detection 5751-5756
  Yi Wang, Zhongyuan Han, Chang Liu, Haojie Cao
• Team DUAN at PAN 2026: Fine-Tuning Qwen3.5-2B for Reasoning Trajectory Source and Safety Detection 5757-5768
  Duan Xianbing, Han Zhongyuan, Liang Zhankeng, Liu Chang
• Team ydong at PAN 2026: Detecting Machine-Generated Text via Multi-Algorithm Compression Distances and Shallow Statistics 5769-5774
  Jiacai Yang, Qian Dong
• Team A&A-detection at PAN 2026: A Hybrid Ensemble of Stylometric, Perplexity, and Neural Features for Voight-Kampff Generative AI Detection 5775-5781
  Amalia Voulgaraki, Arina Zamyshevskaya
• Team zhengqiaozeng at PAN 2026: Generative AI Detection Using DeBERTa-v3-large with R-Drop Regularization and Supervised Contrastive Learning 5782-5788
  Zhengqiao Zeng, Zhongyuan Han, Zhankeng Liang
• Team StyleFusion at PAN 2026: DeBERTa Meets Stylometry 5789-5796
  Adam Škurla

QuantumCLEF: Quantum Computing, Information Retrieval and Recommender Systems

• QuantumCLEF 2026: Overview of the Third Quantum Computing Challenge for Information Retrieval and Recommender Systems at CLEF 5797-5818
  Andrea Pasin, Maurizio Ferrari Dacrema, Washington Cunha, Marcos Goncalves, Paolo Cremonesi, Nicola Ferro
• Cluster-Aware QUBO Instance Selection with Representativeness Scoring and Noise Pre-Filtering for the QuantumCLEF 2026 Sentiment Classification Task 5819-5831
  Prateek Awate
• Team GPLSI at QClef 2026: Quantum-Inspired Instance Selection and Clustering 5832-5847
  Santiago Galiano-Segura, Francisco Valero-Abellón, Mónica Sánchez-Bellido, Jairo Madrigal-Cutillas, Juan Pablo Consuegra-Ayala, Olga Francés, Manuel Palomar, Paloma Moreda, Elena Lloret
• Entropy of Void at QuantumCLEF 2026: Hardware-Aware QUBO Decomposition via Quantum Annealing - Instance Selection and Document Clustering 5848-5858
  Gaurav Jain, Hitesh Hitesh, Srishty Bedi, Sparsh Sundriyal
• Team SYZYGY at QuantumCLEF 2026: Feature Selection Using Quantum Annealing 5859-5872
  Dhruv Khemani, Benedikt Kantz
• Team R2AI at QuantumCLEF 2026: Interaction-Aware Feature Selection and Complementary-Signal Instance Selection via QUBO Optimization 5873-5881
  Jiayang Niu, Yan Wang, Jie Li, Ke Deng, Azadeh Alavi, Yongli Ren
• Balancing Relevance and Redundancy: An Optuna-Tuned QUBO Formulation for Feature Selection in Recommender Systems 5882-5892
  Bhavishya Prajapat, Alapan Kuila
• QUBO Based Quantum Annealing for Feature Selection, Instance Selection and Clustering 5893-5906
  Sumaiyah Zahid, Muhammad Atif Tahir, Muhammad Rabeet Sagri

SimpleText: Simplify Scientific Text (and Nothing More)

• Overview of the CLEF 2026 SimpleText Task 1: Simplify Scientific Text 5907-5928
  Jan Bakker, Liana Ermakova, Jaap Kamps
• Overview of the CLEF 2026 SimpleText Task 2: Identify and Avoid Hallucination 5929-5944
  Berkay Chakar, Jan Bakker, Liana Ermakova, Jaap Kamps
• Overview of the CLEF 2026 SimpleText Task 3: Research Area Classification 5945-5953
  Gautam Kishore Shahi, Liana Ermakova, Jaap Kamps
• A_R Team at CLEF2026 SimpleText Task 2.1: Source-Aware Grounding Verification with Scientific Transformer Ensembles 5954-5960
  Mhd Adnan, Riad Sonbol
• Improving Scientific Research Area Classification through Transformer Fine-Tuning and Per-Document Model Selection 5961-5973
  George Anderson, Edwin Thuma
• HULAT-UC3M at CLEF 2026 SimpleText: Controlled Generation for Scientific Text Simplification with Hallucination Control 5974-5984
  Pablo Anegón Núñez, Paloma Martínez, Lourdes Moreno
• DUTH at CLEF 2026 SimpleText: Grounded Biomedical Text Simplification and Evidence-Guided Overgeneration Detection 5985-6009
  Georgios Arampatzis, Avi Arampatzis
• Elsevier at CLEF 2026 SimpleText: Deconstructing Scientific Text Simplification with Direct and Multi-Stage LLM Approaches 6010-6034
  Artemis Capari, Hosein Azarbonyad, Zubair Afzal, George Tsatsaronis
• MONKEY at SimpleText 2026: Static Few-Shot Prompting for Cochrane Review Scientific Text Simplification 6035-6044
  Feifan Chen, Leilei Kong, Yong Lu
• FOSU_cr at the CLEF 2026 SimpleText Track: A Reference-Guided Few-Shot Prompting Approach for Biomedical Text Simplification 6045-6055
  Run Chen, Yang Yang, Huaiyu Zhang, Leilei Kong
• NIL-UCM at the CLEF 2026 SimpleText Track: Prompting, Fine-Tuning, and Multi-Agent Architectures for Biomedical Text Simplification 6056-6067
  Sandra Conde, Pablo Folgueira, Alberto Díaz
• Writerslogic at the CLEF 2026 SimpleText Track: Multi-Candidate LLM Simplification and Stacked Complexity Spotting 6068-6078
  David Condrey
• THM@SimpleText 2026 - Task 2: Ensemble-based Hallucination Classification in Text Simplification 6079-6087
  Julian Dauenhauer, Nico Hofmann, Christin Katharina Kreutz
• AIIRLab Systems at SimpleText CLEF 2026: Ensemble and Multi-Agent Pipelines for Scientific Text Simplification 6088-6099
  Ella Hawkins, Kristina Zbinden, Ellis Fitzgerald, Behrooz Mansouri
• UPF-TALN at the CLEF 2026 SimpleText Track: Ensemble Approach for Scientific Text Simplification and Hallucination Classification 6100-6114
  Akio Hayakawa, Horacio Saggion
• ELiRF-UPV at SimpleText 2026: Decoupling Action Prediction and Controlled Generation for Text Simplification 6115-6132
  Marc Hurtado, Vicent Ahuir, Antonio Molina, María-José Castro-Bleda
• NUQLab at SimpleText 2026: Plan-Guided Biomedical Scientific Text Simplification 6133-6139
  Shimaa Ibrahim, Wajdi Zaghouani
• Multilingual Scientific Text Simplification Using a Locally Deployed Open-Source LLM: Plan-Driven Sentence Simplification and Summary-Guided Document Simplification with Llama 3.1 8B at the CLEF 2026 SimpleText Track --- Task 1 6140-6152
  Manoj Kumar, Prabavathy Balasundaram, Deeraj Kumar
• FutureMakers at the CLEF 2026 SimpleText Track: Retrieval-Augmented Evidence-Focused Overgeneration Detection for Task 2.2 6153-6159
  Wenlong Liu, Sixian Qi, Yusheng Yi, Ruilan Lin
• SSN Tokatrons at the CLEF 2026 SimpleText Track: Plan-Guided BART and Zero-Shot LLM Approaches to Biomedical Text Simplification 6160-6169
  Sujith M, Sree Krishna S, Varghese K James, Prabavathy Balasundaram
• University of Amsterdam at the CLEF 2026 SimpleText Track 6170-6179
  Pascal Mathas, Berkay Chakar, David Carranza Navarrete, Jan Bakker, Jaap Kamps
• BioSimplex at the CLEF 2026 SimpleText Task 1.1: A Two-Stage Operation-Aware Framework for Scientific Text Simplification 6180-6189
  Sejal Maurya, Ridhi Ladda, Gayatri Tupe, Ritesh Kumar
• DataDumplings at SimpleText 2026: Hierarchical Scientific Domain Classification with Fine-Tuned SciBERT and Taxonomy-Guided Inference 6190-6195
  Sujaudeen Nannai John, Srinidhi Rajagopal, Yadushree Venkatesh
• clnn88@SimpleText 2026 - Task 1: Llama 3-based Simplification for Biomedical Text 6196-6202
  Clyde Lanvin Njinpie Noutche, Christin Katharina Kreutz
• HULAT-HAI @ SimpleText 2026 Task 1.1: Prompting Based on Linguistic Analysis for Text Simplification 6203-6211
  Nuria Pirvu, Rémi Cardon
• SRH-ReliableAI at SimpleText 2026 Task 3: A Hierarchy-Constrained, Adversarially Trained Multi-Task Ensemble for Scientific Research Area Classification 6212-6221
  Pratik Priyanshu, Swati Chandna
• SPU_DeepSimplify at the CLEF 2026 SimpleText Track: A Planning-Based Approach to Scientific Text Simplification 6222-6232
  Raneem Rabih, Riad Sonbol, Wesam Alsohle
• UBONLP Report on the SimpleText Track at CLEF 2026 6233-6243
  Benjamin Vendeville, Liana Ermakova, Pierre De Loor
• CYUT at CLEF 2026 SimpleText Track: Hallucination Detection based on Retrieval-Aligned Contextual Fusion and Multi-Tier Cascaded Discernment 6244-6254
  Shih-Hung Wu, Chong-Zhe Yan
• FOSU-YZH-Group at the SimpleText 2026 Track: Statistics-Aware Prompting for Task 1.1 and Exploratory Overgeneration Detection for Task 2 6255-6266
  Zonghua Yang, Haoliang Qi, Yusheng Yi

TalentCLEF: Skill and Job Title Intelligence for Human Capital Management

• Overview of TalentCLEF 2026: Task A — Contextualized Job–Person Matching 6267-6285
  Hermenegildo Fabregat, Laura García-Sardiña, Paula Estrella, Luis Gasco, Casimiro Pio Carrino, Daniel Deniz, Alvaro Rodrigo, Rabih Zbib
• Overview of TalentCLEF 2026: Task B — Job-Skill Matching with Skill Type Classification 6286-6314
  Warre Veys, Luis Gasco, Matthias De Lange, Jens-Joris Decorte
• Semantic Reranking for Zero-Shot Occupation-Skill Linking 6315-6321
  Alejandro Jesús Castañeira Rodríguez
• In-Domain Contrastive Fine-tuning of Sentence-BERT for ESCO-based Job–Skill Retrieval and Classification 6322-6329
  Phuc Dao Bao, Tri Nguyen Ho Duy
• Ranking job-resume similarity using cross-lingual bi-encoding 6330-6340
  Daniel-Antoniu Dumitru
• Retrieve, Rerank, Survive: LLM-Listwise Pipelines for Job–Person and Job–Skill Matching at TalentCLEF 2026 6341-6352
  Léo Hemamou, Robin Dupont
• MARSAD at TalentCLEF 2026 Task B: Hybrid ESCO-Aware Retrieval for Job–Skill Matching 6353-6361
  Shimaa Ibrahim, Wajdi Zaghouani
• Semantic Enrichment for Resume Ranking and Skill Retrieval at TalentCLEF 2026 6362-6374
  Sangkeun Kim, Minseong Choi, Seungho Lee
• Pointwise and Pairwise LLM-as-a-Reranker for Job-Title to ESCO Skill Retrieval over GIST-Fine-Tuned JobBERT 6375-6383
  Yeyang Liu, Zhaohang Niu, Chunyu Li, Zhaoyan Fan
• VerbaNexAI at TalentCLEF 2026: A Hybrid Multilingual Retrieval and Approach for Contextualized Job-Person Matching 6384-6391
  Melissa Moreno, Juan Carlos Martinez-Santos, Edwin Puertas
• Hybrid Dense-Sparse Retrieval and Re-Ranking for Multilingual Resume Retrieval from Job Descriptions 6392-6397
  Alonso Palomino
• CYUT at TalentCLEF 2026: Zero-Shot Multi-View Retrieval for Job-Person Matching 6398-6410
  Johan Poerwanto, Shih-Hung Wu
• ui-nlp at TalentCLEF 2026: Multilingual Bi-Encoder Retrieval with Ensemble Strategy for Job-Person and Job-Skill Matching 6411-6425
  Ibtihal Qomariyyah Luthfiyyah, Satrio Yudhoatmojo, Indra Budi
• Taxonomy-Aware Hybrid Retrieval with Bounded LLM Reranking for TalentCLEF 2026 Task A 6426-6439
  Arij Riabi, Malek Essayeh
• Fine-tuned Bi-Encoder for Job-Skill Matching: Exploring Curriculum Learning, Hard Negative Mining, and Hybrid Retrieval 6440-6450
  Lakshmi Priya Swaminatha Rao, Dravid Ranjan, Adithya S, Vino Sasi Kumar Roxlin Rani Harrison
• A Union Fusion of PyTerrier, Doc2Query, BM25 and Multilingual Embeddings for Job-Person Matching 6451-6459
  Edwin Thuma, George Anderson
• QTPride @TalentCLEF 2026: Towards Multi-View Job-Person Matching with LLM Parsing and Knowledge Graph-Enhanced Retrieval 6460-6467
  Huu-Huy-Hoang Tran
• Skillberg at TalentCLEF 2026: Cross-Framework Knowledge-Graph Grounded Multilingual Encoders for Job–Person and Job–Skill Matching 6468-6475
  Martin Vielvoye, Axel Potier

Touché: Argumentation Systems

• Overview of Touché 2026 — Argumentation Systems Extended Version 6476-6501
  Johannes Kiesel, Marc Feger, Tim Hagen, Sebastian Heineking, Maximilian Heinrich, Maik Fröbe, Katarina Boland, Christine Mathews, Wilhelm Pertsch, Julia Romberg, Ines Zelch, Stefan Dietze, Matthias Hagen, Martin Potthast, Benno Stein
• NapierNLP at Touché: Fallacy Detection with Small Language Models and Model Fusion 6502-6509
  Katarina Alexander, Md Zia Ullah, Dimitra Gkatzia
• Team Sophisma at Touché: Transformer-Based Fallacy Detection with Enhanced Argument Representations 6510-6520
  İrem Batıgün, Yiğitalp Öztemir
• Veritas at Touché: Input Enrichment or Label Leakage? Fine-tuning Encoder Models for Fallacy Detection 6521-6533
  Farzaneh Bayan Memar, Janiek de Rijke, Niek Biesterbos, Mark den Ouden
• Graz University of Technology at Touché: Prompting Strategies for LLM-based Fallacy Detection 6534-6545
  Alex Ghiriti, Roman Kern
• The Wildcards at Touché: Guideline-Conditioned Argument Identification with Dataset-Level Expert Routing 6546-6560
  Muhammad Qasim Hussain, Maximilian Heinrich, Midhun Kanadan, Benno Stein
• arginvariant at Touché: Error-Driven Prompt Refinement for Argument Identification 6561-6575
  Midhun Kanadan, Maximilian Heinrich, Benno Stein
• OoOoO at Touché: Argument-Structure-Aware RoBERTa Ensembles for Fallacy Detection 6576-6584
  Ruilan Lin, Yusheng Yi
• helium at Touché: The Case for Naturalistic Evaluation of Fallacy Detection 6585-6601
  Diana Markova
• Webis at Touché: The Court of Fallacies: Adversarial LLM Advocacy with Forensic Appeal for Reddit Fallacy Detection 6602-6619
  Christine Mathews, Maximilian Heinrich, Benno Stein
• UZHCL_for_the_win at Touché: Encoder Fine-Tuning, Synthetic Augmentation, and an Underpowered Encoder–LLM Comparison 6620-6639
  Stylianos Psychias
• uzh_tt at Touché: Confidence-Adaptive Cascaded Fallacy Detection 6640-6650
  Fatma-Zohra Rezkellah, Sophia Conrad
• The Overfitters at Touché: Joint Causality Extraction with DeBERTa-v3 6651-6657
  Lasse Ruttert, Marvin Gülhan
• Code-Doctors at Touché: Cross-Domain Argument Detection and Advertisement Removal in RAG Responses 6658-6669
  Ahsan Siddiqui, Muhammad Mansoor Alam, Zohaib Aslam, Faisal Alvi, Abdul Samad
• ArguMind at Touché: A Unified Multi-Task Transformer Approach for Fallacy and Argument Scheme Classification 6670-6677
  Sevitha Simhadri, Madduri Chandan
• NIT-Agartala-NLP Team at Touché: Detecting and Classifying Fallacies in Reddit Arguments Using Ensemble Methods 6678-6689
  Shivam Singh, Manish Kumar, Anupam Jamatia
• Seals-NLP at Touché: Comparing Fully Tuned Encoders and Optimized LLMs for Multi-Task Fallacy Detection 6690-6698
  Minh Smith, Minarul Islam, Cheryl Seals
• ZHAW at Touché: Advertisement Detection in RAG Responses Using Query-Aware Transformers and Neutral Reference Embeddings 6699-6705
  Samuel Stalder
• Context-Awakens at Touché: Generalizable Argument Identification with In-Context Learning 6706-6723
  Johannes Widera
• Shrome at Touche: Soft-Vote Ensembling and Counter-Causal Augmentation for Causality Extraction 6724-6739
  Roham Zendehdel Nobari, Shayan Sooratgar