CLEF 2025
CLEF 2025 Working Notes

Table of Contents

• Preface
  This volume contains the 392 working notes that were peer-reviewed and accepted for publication at CLEF 2025. Out of these, 38 are overviews of the labs and tasks, while 354 are the participants' working notes.

A Challenge in Large-Scale Biomedical Semantic Indexing and Question Answering (BioASQ)

• Overview of BioASQ Tasks 13b and Synergy13 in CLEF2025 1-18
  Anastasios Nentidis, Georgios Katsimpras, Anastasia Krithara, Georgios Paliouras
• Overview of MultiClinSum Task at BioASQ 2025: Evaluation of Clinical Case Summarization Strategies for Multiple Languages: Data, Evaluation, Resources and Results 19-40
  Miguel Rodríguez-Ortega, Eduard Rodríguez-López, Salvador Lima-López, Carlos Escolano, Audrey Mash, Maite Melero, Lorenzo Pratesi, Laura Vigil-Gimenez, Leticia Fernandez-Lopez, Eulàlia Farré-Maduell, Martin Krallinger
• Overview of the BioASQ BioNNE-L Task on Biomedical Nested Entity Linking in CLEF 2025 41-50
  Andrey Sakhovskiy, Natalia Loukachevitch, Elena Tutubalina
• Overview of ElCardioCC Task on Clinical Coding in Cardiology at BioASQ 2025 51-64
  Dimitris Dimitriadis, Vasiliki Patsiou, Eleonora Stoikopoulou, Achilleas Toumpas, Alkis Kipouros, Alexandra Bekiaridou, Konstantinos Barmpagiannos, Anthi Vasilopoulou, Antonios Barmpagiannos, Athanasios Samaras, Dimitrios Papadopoulos, George Giannakoulas, Grigorios Tsoumakas
• Overview of GutBrainIE@CLEF 2025: Gut-Brain Interplay Information Extraction 65-98
  Marco Martinelli, Gianmaria Silvello, Vanessa Bonato, Giorgio Maria Di Nunzio, Nicola Ferro, Ornella Irrera, Stefano Marchesin, Laura Menotti, Federica Vezzani
• Trusting Gut Instincts: Transformer-Based Extraction of Structured Data from Gut-Brain Axis Publications 99-119
  Lasse Ryge Andersen, Mikkel Hagerup Dolmer, Marius Ihlen Gardshodn, Juan Manuel Rodriguez, Daniele Dell'Aglio
• AQAMS and AQAMS2: Multi Agent Systems for Biomedical Question Answering 120-135
  Johanna Angulo, Víctor Yeste
• Agentic MCS: A Multilingual Clinical Summarization Framework 136-147
  Johanna Angulo, Víctor Yeste
• Can Language Models Critique Themselves? Investigating Self-Feedback for Retrieval Augmented Generation at BioASQ 2025 148-164
  Samy Ateia, Udo Kruschwitz
• UniTor at BioASQ 2025: Modular Biomedical QA with Synthetic Snippets and Multiple Task Answer Generation 165-197
  Federico Borazio, Andriy Shcherbakov, Danilo Croce, Roberto Basili
• Navigating Partial UMLS Terminology: GAT Embeddings and Confidence Analysis for Multilingual Concept Linking 198-205
  Albina Burlova
• NCU-IISR: Biomedical Question Answering via Gemini and GPT APIs in the BioASQ 13b Phase B Challenge 206-213
  Bing-Chen Chih, Jen-Chieh Han, Hsi-Chuan Hung, Richard Tzong-Han Tsai
• lasigeBioTM at BioASQ25 Task GutBrainIE - Lean Large Language Models with Syntactic Features 214-225
  Sofia I. R. Conceição, Paulo R. C. Lopes, Francisco M. Couto
• Graphwise @ CLEF-2025 GutBrainIE: Towards Automated Discovery of Gut-Brain Interactions - Deep Learning for NER and Relation Extraction from PubMed Abstracts 226-242
  Aleksis Datseris, Mario Kuzmanov, Ivelina Nikolova-Koleva, Dimitar Taskov, Svetla Boytcheva
• SINAI at BioASQ@CLEF 2025: A Multi-Stage RAG Pipeline for Biomedical Semantic Question Answering 243-265
  Sara Dueñas-Romero, L. Alfonso Ureña-López, Eugenio Martínez-Cámara
• LLM Ensemble for RAG: Role of Context Length in Zero-Shot Question Answering for BioASQ Challenge 266-272
  Dima Galat, Diego Molla-Aliod
• Group Relative Policy Optimization for Spanish Clinical Case Report Summarization 273-280
  Georgi Grazhdanski
• SCIRE at BioASQ 2025: LLM Driven Biomedical Named Entity Recognition for GutBrainIE 2025 281-291
  Harsh Prakash Gupta, Ritwik Banerjee
• NCU-IISR: A Retrieval-Augmented Generation Approach for BioASQ 13b Phase A and A+ 292-301
  Jen-Chieh Han, Bing-Chen Chih, Hsi-Chuan Hung, Richard Tzong-Han Tsai
• GutUZH at CLEF2025 BioASQ Task 6: a Method of SOTA Performance with the Best Results at GutBrainIE NER Subtask 1 302-316
  Jinyi Han, Yeyang Liu
• Clinical Entity Recognition and Linking in Greek Discharge Letters using Multilingual-LLM-Based Multi-Stage System 317-327
  Bor-Woei Huang
• BIT.UA at BioASQ 13B: Revisiting Evaluation, DPRF-Enhanced Retrieval and Fine-Tuned LLMs 328-342
  Richard A. A. Jonker, Tiago Almeida, João R. Almeida, Sérgio Matos
• Constrained Linked Entity ANnotation using RAG (CLEANR) 343-358
  Benedikt Kantz, Stefan Lengauer, Peter Waldert, Tobias Schreck
• From Named Entities to Relations: End-to-End Biomedical Information Extraction 359-372
  Ron Keinan, Amir David Nissan Cohen, Reut Tsarfaty
• Prompting Matters: Snippet-Aware Strategies for Biomedical QA with LLMs in BioASQ 13b 373-382
  Hajung Kim, Hoonick Lee, Yewon Cho, Jungwoo Park, Jueon Park, Soyon Park, Yan Ting Chok, Seungheun Baek, Donghyeon Lee, Jaewoo Kang
• Multilingual and Nested Biomedical Named Entity Normalization via Candidate Retrieval and Lightweight Large Language Model Disambiguation 383-392
  Antoine D. Lain, Chaeeun Lee, Simona E. Doneva, Maria Juliana Rodriguez-Cubillos, Elisa Castagnari, T. Ian Simpson, Joram M. Posma
• Understanding Gut-Brain Interplay in Scientific Literature: A Hybrid Approach from Classification to Generative LLM Reasoning 393-410
  Chaeeun Lee, Simona E. Doneva, Maria Juliana Rodriguez-Cubillos, Elisa Castagnari, Antoine D. Lain, Joram M. Posma, T. Ian Simpson
• BIBERT-Pipe on Biomedical Nested Named Entity Linking at BioASQ 2025 411-419
  Chunyu Li, Xindi Zheng, Siqi Liu
• LYX_DMIIP_FDU At BioASQ 2025: Utilizing BERT Embeddings For Biomedical Text Mining 420-432
  Yuxuan Liu, Shanfeng Zhu
• lasigeBioTM: A Lean Biomedical QA System Empowered by Structured Knowledge 433-451
  Paulo R. C. Lopes, Sofia I. R. Conceição, Maria Fernandes, Francisco M. Couto
• Development of a Biomedical Question Answering System Based on Transformer Models 452-459
  Lila López, Juan C. Martinez-Santos, Edwin Puertas
• Enhancing Biomedical Named Entity Recognition using GLiNER-BioMed with Targeted Dictionary-Based Post-processing for BioASQ 2025 task 6 460-472
  Ritesh Mehta
• Comparing CRF vs BERT Models for Named Entity Recognition and Relation Extraction 473-482
  Lorenzo Pamio, Giorgio Maria Di Nunzio
• Harnessing Collective Intelligence of LLMs for Robust Biomedical QA: A Multi-Model Approach 483-496
  Dimitra Panou, Alexandros C. Dimopoulos, Manolis Koubarakis, Martin Reczko
• Hybrid Re-ranking for Biomedical Entity Linking using SapBERT Embeddings: A High-Performance System for BioNNE-L 2025-1 497-508
  Daniel Peña Gnecco, Jairo Serrano, Edwin Puertas, Juan Carlos Martinez-Santos
• Named Entity Recognition with GLiNER and Relation Extraction with LLMs 509-519
  Samuel Piron, Giorgio Maria Di Nunzio
• MaLei at MultiClinSUM: Summarisation of Clinical Documents using Perspective-Aware Iterative Self-Prompting with LLMs 520-533
  Libo Ren, Yee Man Ng, Lifeng Han
• ExtraSum @ MultiClinSum: Extractive Summarization of English, Spanish, French and Portuguese Clinical Case Reports 534-543
  Soukaina Rhazzafe, Simon Colreavy-Donnelly, Nikola S. Nikolov
• Using Decoder-Based Distillation for Enhancing Multilingual Clinical Case Report Summarization 544-553
  Nicolay Rusnachenko, Xiaoxiao Liu, Jian Chang, Jian Jun Zhang
• Enhancing Multilingual Medical Summarization via Contextual Keyword Augmentation 554-568
  Md Shahidul Salim, Lianne Fu, Arav Adikesh Ramakrishnan, Sunjae Kwon, Zonghai Yao, Hong Yu
• Biomedical Semantic Question Answering - Answering Systems Using Different LLMs for Subtasks 569-581
  Samitinjaya, Dipankar Das
• MedGemma-Sum-Pt: A Lightweight Model for Portuguese Clinical Summarization 582-594
  Elisa Terumi Rubel Schneider, Fernando Henrique Schneider, Emerson Cabrera Paraiso, Alceu Souza Britto Jr, Rafael Menelau Oliveira Cruz
• Are Smaller Open-Weight LLMs Closing the Gap to Proprietary Models for Biomedical Question Answering? 595-604
  Damian Stachura, Joanna Konieczna, Artur Nowak
• Applying DeepSeek to BioASQ Task 13B: Using Supervised Fine-Tuning and Few-Shot Learning 605-616
  Jie Tang, Hua Yang, Kai Xiong, Hanyang Li, Paulo Quaresma, Hongbin Yu, Wenbo Zhang, Mingzhou Song
• NLP@VCU at BioASQ2025: Information Extraction on the GutBrainIE dataset 617-625
  Scott Taylor, Charlie Dil, Aaron Shah, Jannat, Cyd Oldham, Ayush Upadhyay, Joanne Varughese, Nicole Yazbeck, Bridget T. McInnes
• Exploring Retrieval-Reranking and LLM-Based Answer Generation for Biomedical QA 626-634
  Poojan Vachharajani
• Multilingual Embedding and Prompt-Driven Approaches for Named Entity Recognition, Entity Linking, and Clinical Code Prediction in Greek Discharge Summaries 635-641
  Poojan Vachharajani
• pjmathematician at MultiClinSUM 2025: A Novel Automated Prompt Optimization Framework for Multilingual Clinical Summarization 642-650
  Poojan Vachharajani
• Enigma @ ELCardioCC: Bridging NER and ICD-10 Entity Linking - A Hybrid Method for Greek Clinical Narratives 651-665
  Boris Velichkov, Aleksis Datseris, Sylvia Vassileva, Svetla Boytcheva
• Beyond Retrieval: Ensembling Cross-Encoders and GPT Rerankers with LLMs for Biomedical QA 666-680
  Shashank Verma, Fengyi Jiang, Xiangning Xue

Lab on Subjectivity, Fact-Checking, Claim Extraction & Normalization, and Retrieval (CheckThat!)

• Overview of the CLEF-2025 CheckThat! Lab Task 1 on Subjectivity in News Articles 681-694
  Federico Ruggeri, Arianna Muti, Katerina Korre, Julia Maria Struß, Melanie Siegel, Michael Wiegand, Firoj Alam, Md. Rafiul Biswas, Wajdi Zaghouani, Maria Nawrocka, Bogdan Ivasiuk, Gogu Razvan, Andreiana Mihail
• Overview of the CLEF-2025 CheckThat! Lab Task 2 on Claim Normalization 695-708
  Megha Sundriyal, Tanmoy Chakraborty, Preslav Nakov
• Overview of the CLEF-2025 CheckThat! Lab Task 3 on Fact-Checking Numerical Claims 709-721
  Venktesh V, Vinay Setty, Avishek Anand, Boushra Bendou, Maram Hasanain, Houda Bouamor, Gabriel Iturra-Bocaz, Petra Galuščáková, Firoj Alam
• Overview of the CLEF-2025 CheckThat! Lab Task 4 on Scientific Web Discourse 722-732
  Salim Hafid, Yavuz Selim Kartal, Sebastian Schellhammer, Katarina Boland, Dimitar Dimitrov, Sandra Bringay, Konstantin Todorov, Stefan Dietze
• NGU_Research at CheckThat! 2025: An LLM Based Hybrid Fact-Checking Pipeline for Numerical Claims 733-742
  Mohamed A. Abdallah, Rokayah M. Fekry, Samhaa R. El-Beltagy
• UCOM_UNAM_PLN at CheckThat! 2025: Evaluating LLMs in a two-Step Architecture for Numerical Fact Checking 743-753
  Guido Acosta, Eduardo Morales, Helena Gómez-Adorno
• CSECU-Learners at CheckThat! 2025: Multilingual Transformer-based Approach for Subjectivity Detection in News Articles Across Multilingual and Zero-shot Settings 754-762
  Monir Ahmad, Abu Nowshed Chy
• QU-NLP at CheckThat! 2025: Multilingual Subjectivity in News Articles Detection Using Feature-Augmented Transformer Models with Sequential Cross-Lingual Fine-Tuning 763-774
  Mohammad Al-Smadi
• NapierNLP at CheckThat! 2025: Detecting Subjectivity with LLMs and Model Fusion 775-781
  Katarina Alexander, Md Zia Ullah, Dimitra Gkatzia
• Factiverse and IAI at CheckThat! 2025: Adaptive ICL for Claim Extraction 782-794
  Pratuat Amatya, Vinay Setty
• ClaimIQ at CheckThat! 2025: Comparing Prompted and Fine-Tuned Language Models for Verifying Numerical Claims 795-803
  Anirban Saha Anik, Md Fahimul Kabir Chowdhury, Andrew Wyckoff, Sagnik Ray Choudhury
• dfkinit2b at CheckThat! 2025: Leveraging LLMs and Ensemble of Methods for Multilingual Claim Normalization 804-825
  Tatiana Anikina, Ivan Vykopal, Sebastian Kula, Ravi Kiran Chikkala, Natalia Skachkova, Jing Yang, Veronika Solopova, Vera Schmitt, Simon Ostermann
• AIRwaves at CheckThat! 2025: Retrieving Scientific Sources for Implicit Claims on Social Media with Dual Encoders and Neural Re-Ranking 826-844
  Cem Ashbaugh, Leon Baumgärtner, Tim Greß, Nikita Sidorov, Daniel Werner
• UmuTeam at CheckThat! 2025: Language-Specific versus Multilingual Models for Fact-Checking 845-855
  Tomás Bernal-Beltrán, Ronghao Pan, José Antonio García-Díaz, Rafael Valencia-García
• ClimateSense at CheckThat! 2025: Combining Fine-tuned Large Language Models and Conventional Machine Learning Models for Subjectivity and Scientific Web Discourse Analysis 856-865
  Grégoire Burel, Pasquale Lisena, Enrico Daga, Raphael Troncy, Harith Alani
• JU_NLP at CheckThat! 2025: A Confidence-guided Transformer-based Approach for Multilingual Subjectivity Classification 866-875
  Srijani Debnath, Dipankar Das
• cepanca_UNAM at CheckThat! 2025: A Language-driven BERT Approach for Detection of Subjectivity in News 876-884
  Ivan Diaz, Jessica Barco, Joana Hernández, Edgar Lee-Romero, Gemma Bel-Enguix
• CornellNLP at CheckThat! 2025: Hybrid LLaMA--GPT-4 Ensembles with Confidence Filtering for Numerical Claim Verification 885-895
  Lea Duesterwald, Adi Arora, Claire Cardie
• CEA-LIST at CheckThat! 2025: Evaluating LLMs as Detectors of Bias and Opinion in Text 896-911
  Akram Elbouanani, Evan Dufraisse, Aboubacar Tuo, Adrian Popescu
• AI Wizards at CheckThat! 2025: Enhancing Transformer-Based Embeddings with Sentiment for Subjectivity Detection in News Articles 912-925
  Matteo Fasulo, Luca Babboni, Luca Tedeschini
• KSU at CheckThat! 2025: Two-stage approach to fact-checking numerical claims 926-934
  Keito Fukuoka, Hisashi Miyamori
• TIFIN at CheckThat! 2025: Cross-Lingual Subjectivity Classification in News through Monolingual, Multilingual, and Zero-Shot Learning 935-952
  Kishan Gurumurthy, Ashish Shrivastava, Pawan Kumar Rajpoot, Prasanna Devadiga, Bharatdeep Hazarika, Manish Jain, Manan Sharma, Arya Suneesh, Anshuman B Suresh, Aditya U Baliga
• Investigators at CheckThat! 2025: Using LLMs to Improve Fact-Checking 953-963
  Syed Muhammad Ather Hashmi, Sidra Aamir, Muhammad Anas, Turab Usmani, Faisal Alvi, Abdul Samad
• TIFIN at CheckThat! 2025: X-VERIFY - Multi-lingual NLI-based Fact Checking with Condensed Evidence 964-976
  Bharatdeep Hazarika, Prasanna Devadiga, Pawan Kumar Rajpoot, Aditya U Baliga, Kishan Gurumurthy, Manish Jain, Manan Sharma, Ashish Shrivastava, Arya Suneesh, Anshuman B Suresh
• DS@GT at CheckThat! 2025: Detecting Subjectivity via Transfer-Learning and Corrective Data Augmentation 977-987
  Maximilian Heil, Dionne Bang
• DS@GT at CheckThat! 2025: Evaluating Context and Tokenization Strategies for Numerical Fact Verification 988-996
  Maximilian Heil, Aleksandar Pramov
• Arcturus at CheckThat! 2025: DeBERTa-v3-base for Multilingual Subjectivity Detection in News Articles 997-1008
  Rahul Jambulkar, Aditya Aditya, Sukomal Pal
• LIS at CheckThat! 2025: Multi-Stage Open-Source Large Language Models for Fact-Checking Numerical Claims 1009-1023
  Quy Thanh Le, Ismail Badache, Aznam Yacoub, Maamar El Amine Hamri
• AKCIT-FN at CheckThat! 2025: Switching Fine-Tuned SLMs and LLM Prompting for Multilingual Claim Normalization 1024-1038
  Fabrycio Leite Nakano Almada, Kauan Divino Pouso Mariano, Maykon Adriell Dutra, Victor Emanuel da Silva Monteiro, Juliana Resplande Sant'Anna Gomes, Arlindo Rodrigues Galvão Filho, Anderson da Silva Soares
• JU_NLP at CheckThat! 2025: Leveraging Hybrid Embeddings for Multi-Label Classification in Scientific Social Media Discourse 1039-1044
  Arpan Majumdar, Dipankar Das, Pritam Pal
• Team SeRRa at CheckThat! CLEF 2025: Sequential Re-Ranking in a Scientific Claim Source Retrieval Pipeline 1045-1055
  Guilherme A. Marchetti, Gil Rocha, Henrique Lopes Cardoso
• nlu@utn at CheckThat! 2025: Combining Bias Sensitivity, Linguistic Features, and Persuasion Cues in an Ensemble for Subjectivity Detection 1056-1070
  Selina Meyer, Michael Roth
• JU_NLP@M&S at CheckThat! 2025: Automated Claim Extraction and Normalization for Misinformation Detection in Social Media Content 1071-1083
  Malobika Mondal, Soumodeep Saha, Dipanjan Saha, Dipankar Das
• DS@GT at CheckThat! 2025: Ensemble Methods for Detection of Scientific Discourse on Social Media 1084-1095
  Ayush Parikh, Hoang Thanh Thanh Truong, Jeanette Schofield, Maximilian Heil
• DS@GT at CheckThat! 2025: A Simple Retrieval-First, LLM-Backed Framework for Claim Normalization 1096-1106
  Aleksandar Pramov, Jiangqin Ma, Bina Patel
• SmolLab_SEU at CheckThat! 2025: How Well Do Multilingual Transformers Transfer Across News Domains for Cross-lingual Subjectivity Detection? 1107-1120
  Md. Abdur Rahman, Md Al Amin, Md Sabbir Dewan, Md Jahid Hasan, Md Ashiqur Rahman
• Fraunhofer SIT at CheckThat! 2025: Multi-Instance Evidence Pooling for Numerical Claim Verification 1121-1130
  André Runewicz, Paul Moritz Ranly, Inna Vogel, Martin Steinebach
• MMA at CheckThat! 2025: Multilingual Claim Normalization of Social-Media Posts 1131-1140
  Mariam Saeed, Mazen Yasser, Marwan Torki, Nagwa Elmakky
• Deep Retrieval at CheckThat! 2025: Identifying Scientific Papers from Implicit Social Media Mentions via Hybrid Retrieval and Re-Ranking 1141-1155
  Pascal J. Sager, Ashwini Kamaraj, Benjamin F. Grewe, Thilo Stadelmann
• XplaiNLP at CheckThat! 2025: Multilingual Subjectivity Detection with Finetuned Transformers and Prompt-Based Inference with Large Language Models 1156-1166
  Ariana Sahitaj, Jiaao Li, Pia Wenzel Neves, Fedor Splitt, Premtim Sahitaj, Charlott Jakob, Veronika Solopova, Vera Schmitt
• TurQUaz at CheckThat! 2025: Debating Large Language Models for Scientific Web Discourse Detection 1167-1182
  Tari̇̀k Saraç, Selin Mergen, Mucahid Kutlu
• OpenFact at CheckThat! 2025: Application of Self-Reflecting and Reasoning LLMs for Fact-Checking Claim Normalization 1183-1192
  Marcin Sawiński, Krzystof Węcel, Ewelina Księżniak
• DS@GT at CheckThat! 2025: Exploring Retrieval and Reranking Pipelines for Scientific Claim Source Retrieval on Social Media Discourse 1193-1202
  Jeanette Schofield, Shuyu Tian, Hoang Thanh Thanh Truong, Maximilian Heil
• Claim2Source at CheckThat! 2025: Zero-Shot Style Transfer for Scientific Claim-Source Retrieval 1203-1216
  Tobias Schreieder, Michael Färber
• TIFIN at CheckThat! 2025: Reasoning-Guided Claim Normalization for Noisy Multilingual Social Media Posts 1217-1227
  Manan Sharma, Arya Suneesh, Manish Jain, Pawan Kumar Rajpoot, Prasanna Devadiga, Bharatdeep Hazarika, Ashish Shrivastava, Kishan Gurumurthy, Anshuman B Suresh, Aditya U Baliga
• CUET_KCRL at CheckThat!2025: EnsembleNet with RoBERTa-Large for Subjectivity detection in News Articles 1228-1236
  Md. Tanvir Ahammed Shawon, Fariha Haq, Md. Ayon Mia, Golam Sarwar Md. Mursalin, Muhammad Ibrahim Khan
• VerbaNexAI Lab at CheckThat! 2025: Fine-Tuning DeBERTa for Multi-Label Scientific Discourse Detection in Tweets 1237-1245
  Mervin Jesus Sosa Borrero, Jairo Enrique Serrano Castañeda, Juan Carlos Martinez Santos, Edwin Alexander Puertas Del Castillo
• ATOM at CheckThat! 2025: Retrieve the Implicit - Scientific Evidence Retrieval 1246-1255
  Moritz Staudinger, Alaa El-Ebshihy, Wojciech Kusa, Florina Piroi, Allan Hanbury
• SCIRE at CheckThat! 2025: Bridging Social Media, Scientific Discourse, and Scientific Literature 1256-1264
  Parth Manish Thapliyal, Ritesh Sunil Chavan, Samridh Samridh, Chaoyuan Zuo, Ritwik Banerjee
• SINAI-UGPLN at CheckThat! 2025: Meta-Ensemble Strategies for Numerical Claim Verification in English 1265-1275
  Mariuxi del Carmen Toapanta-Bernabé, Miguel Ángel Garcia-Cumbreras, Luis Alfonso Ureña-López, Denisse Desiree Mora-Intriago, Carla Tatiana Bernal-García
• CheckMates At CheckThat! 2025: Transformer-Based Models For Subjectivity Classification 1276-1283
  Karthik V, R Padmashri, V Srikumar, Durairaj Thenmozhi
• Saivineetha at CheckThat! 2025: Exploring Fine-Tuning and Zero-Shot Approaches for Claim Normalization 1284-1289
  Baddepudi Venkata Naga Sri Sai Vineetha
• UNH at CheckThat! 2025: Fine-tuning Vs Prompting in Claim Extraction 1290-1305
  Joe Wilder, Nikhil Kadapala, Benji Xu, Mohammed Alsaadi, Aiden Parsons, Mitchell Rogers, Palash Agrawal, Adam Hassick, Laura Dietz

Evaluation of Generative Language Model Quality (ELOQUENT)

• Overview of Robustness and Consistency Task of the ELOQUENT 2025 Lab for Evaluating Generative Language Model Quality 1306-1319
  Jussi Karlgren, Marie Isabel Engels, Maria Barrett, Rohit Raj Gunti, Mohanna Hoveyda, Bruno Nadalic Sotic, Jaap Kamps, Mika Koistinen, Elaine Zosa
• Overview of the Preference Prediction Task at the ELOQUENT 2025 Lab for Evaluating Generative Language Model Quality 1320-1329
  Vladislav Mikhailov, Ekaterina Artemova, Zoia Butenko, Lilja Øvrelid, Erik Velldal
• Overview of the Sensemaking Task at the ELOQUENT 2025 lab: LLMs as Teachers, Students and Evaluators 1330-1359
  Pavel Šindelář, Ondřej Bojar
• Prediction of Human Preferences and Explanation Generation with LLM: An Approach Based on RAG, Few-Shot Learning, and Auto-CoT 1360-1369
  Danileth Almanza-Gonzalez, Jairo E. Serrano, Juan Carlos Martinez-Santos, Edwin Puertas
• Predicting Human Preferences using a Multi-head BERT Classifier 1370-1380
  Filip F. Andresen, Håkon L. Hyrve, Sander S. Løvaas
• Fake It 'Til You Make It Human 1381-1390
  Aldan Creo, Maximiliano Hormazábal-Lagos, Héctor Cerezo-Costas, Pedro Alonso-Doval
• The Distinctive Data-Centric Approach for the Voight Kampff Task 1391-1400
  Rohit R. Gunti
• Evaluating the Performance of the Finetuned Quantized Llama 3 Based on Relevance, Truthfulness, Naturalness, and Safety 1401-1407
  Rohit R. Gunti, Abebe Rorissa
• ELOQUENT Sensemaking Task: LLMs in the Evaluator Role 1408-1413
  Kateryna Lutsai, Matyáš Thér, Jonáš Venc, Ondrej Bojar
• JUNLP_SS at Eloquent Lab 2025: Humanizing AI - Enhancing the Realism of Machine-Generated Text 1414-1426
  Soumodeep Saha, Ronit Das, Dipankar Das
• Team LLMinds Submission for ELOQUENT Sensemaking Task 1427-1434
  Anna Sajdoková, Matěj Macek, Ondřej Hlava, Marek Štefanec, Antonín Kříž, Jakub Kučera, Ondřej Bojar
• University of Amsterdam at the CLEF 2025 Eloquent Track 1435-1442
  Bruno Sotic, Jaap Kamps
• Literal Re-translation as a Method for AI Text Disguise and Detection Evasion 1443-1448
  Poojan Vachharajani

Early Risk Prediction on the Internet (eRISK)

• Overview of eRisk 2025: Early Risk Prediction on the Internet (Extended Overview) 1449-1473
  Javier Parapar, Anxo Pérez, Xi Wang, Fabio Crestani
• INESC-ID @ eRisk 2025: Exploring Fine-Tuned, Similarity-Based, and Prompt-Based Approaches to Depression Symptom Identification 1474-1485
  Diogo A.P. Nunes, Eugénio Ribeiro
• THINKIR at eRisk 2025: Early Detection and Risk Assessment of Depression using Transformer Models 1486-1495
  Subinay Adhikary, Junsume Das, Dwaipayan Roy
• LHS712Team-1 at eRisk@ CLEF 2025: Searching for Depression Symptoms Using Various Natural Language Processing Algorithms 1496-1501
  Aisha Benloucif, Yashasvini Nannapuraju, Sripriya Bellam, Yuyan Hu, Zhe Zhao, V.G.Vinod Vydiswaran
• HULAT-UC3M at Task1@eRisk 2025: Detecting Depression Using Machine Learning Approaches 1502-1512
  Javier Campos-Molina, Paloma Martinez
• ELiRF-UPV at eRisk 2025: New approaches to the Detection and Early Detection of Symptoms and Signs of Depression 1513-1527
  Andreu Casamayor, Vicent Ahuir, Antonio Molina, Lluís-Felip Hurtado
• FU-TU-DFKI@eRisk 2025: A Linguistically Informed but Overdiagnosing Approach to Early Depression Detection 1528-1541
  Elif Kara, Rosa Esther Martín Peña, Lisa Raithel
• Leveraging Conversational Context and Semantic Relabeling for Early Depression Detection 1542-1549
  Xabier Larrayoz, Arantza Casillas, Alicia Pérez
• UET@eRisk2025: Severity Estimation for Depression Symptoms Searching and Early Risk Detection 1550-1561
  Tu-Phuong Mai, Minh-Ha H. Le, Duc-Luong Tran, Duy-Cat Can, Hoang-Quynh Le
• COTECMAR-UTB at eRisk 2025: Semantic-Centroid Symptom Ranking and Early Depression Detection using Adaptive Decision Rule 1562-1582
  Luis Mendoza, Joan Suarez, Edwin Puertas, Juan Martinez, Jairo Serrano
• SonUIT eRisk2025: Enhanced Depression Detection on Social Media via Filtering and Re-Ranking 1583-1589
  Nguyen Minh Son, Dang Van Thin
• DS@GT at eRisk 2025: From Prompts to Predictions, Benchmarking Early Depression Detection with Conversational Agent-Based Assessments and Temporal Attention Models 1590-1610
  Anthony Miyaguchi, David Guecha, Yuwen Chiu, Sidharth Gaur
• Semantic Retrieval of BDI Symptoms in User Writings 1611-1619
  Noam Munz, Eliya Naomi Aharon, Avi Segal, Kobi Gal
• SINAI at eRisk@CLEF 2025: Transformer-Based and Conversational Strategies for Depression Detection 1620-1635
  Alba María Mármol-Romero, Manuel García-Vega, Miguel Ángel García-Cumbreras, Arturo Montejo-Ráez
• Contextualized Early Detection of Depression - Hybrid and Time-Aware Approaches: HU at eRisk Task 2 2025 1636-1645
  Muhammad Saad, Asad Ullah Chaudhry, Meesum Abbas, Faisal Alvi, Abdul Samad
• Transformer Ensembles and LLM-Powered Approaches for Depression Symptom Analysis and Contextualized Early Risk Detection 1646-1662
  Poojan Vachharajani
• Detection of Depression with Symptom Similarity: Data Reduction and LLM Personas 1663-1679
  Ane Varela, Maite Oronoz, Arantza Casillas, Alicia Pérez
• HIT-SCIR@eRisk2025: Exploring the Potential of a Learnable Screening Model and Risk Post Buffer-Based Framework for Contextualized Early Prediction of Depression on Social Media 1680-1689
  Yuzhe Zi, Bichen Wang, Yanyan Zhao, Bing Qin

sEXism Identification in Social neTworks (EXIST)

• Overview of EXIST 2025: Learning with Disagreement for Sexism Identification and Characterization in Tweets, Memes, and TikTok Videos (Extended Overview) 1690-1735
  Laura Plaza, Jorge Carrillo-De-Albornoz, Iván Arcos, Paolo Rosso, Damiano Spina, Enrique Amigó, Julio Gonzalo, Roser Morante
• Sexism Identification in Tweets Using Ensembles & Augmentation: A Multilingual Approach 1736-1751
  Syeda Rija Hasan Abidi, Muhammad Shoaib Khursheed, Sarah Faisal Sikandar, Sabahat Zahra, Faisal Alvi, Abdul Samad
• Leveraging Model Confidence and Diversity: A Multi-Stage Framework for Sexism Detection 1752-1760
  Anwar Alajmi, Gabriele Pergola
• CogniCIC at EXIST 2025: Identifying Sexist Content in Text and Visual Media using Transformers and Generative AI Models 1761-1776
  Tania Alcantara, Omar Garcia-Vazquez, Hiram Calvo, José E. Valdez-Rodríguez
• Tackling Sexism in Multimodal Social Media: Exploring Hybrid Generative-Transformer models 1777-1792
  Moiz Ali, Lakshmi Yendapalli, Bishoy Tawfik, Matt Winzenried
• DUTH at EXIST 2025: Multilingual Sexism Detection with Soft Labels and Transformers 1793-1800
  Georgios Arampatzis, Vasileios Perifanis, Symeon Symeonidis, Avi Arampatzis
• ArcosGPT at EXIST 2025: Identifying Sexism in Memes with Multimodal Deep Learning: Fusing Text and Visual Cues 1801-1808
  Iván Arcos
• ANLP-Uniso at Exist! 2025 : Sexism Identification and Characterization in Tweets 1809-1827
  Ghada Ben Amor, Nawres Medimagh, Sawsen Ben Chaabene, Omar Trigui
• CLTL at EXIST 2025: Identifying Sexist Memes Using an Ensemble of Shallow and Transformer Models 1828-1839
  Ariana Britez, Ilia Markov
• Beyond Binary: 7-Class Sexism Identification via ModernBERT and SCL 1840-1847
  Donejie Chen, Haoliang Qi
• Modeling Annotator Subjectivity for Sexism Detection on Social Media 1848-1857
  Qizhang Chen, Leilei Kong, Yanfu Chen, Changxin Sun
• Generalizable BERT-Based Cross-Media Sexism Classification 1858-1865
  Tim Chopard, Darren Rawlings
• NLPDame at EXIST: Sexism Categorization in Tweets via Multi-Head Multi-Task Models, LLM & RAG Voting Synergy 1866-1886
  Christina Christodoulou
• ECORBI-UPV at EXIST 2025: Large Language Models and Embedding Strategies for Sexism Detection in Tweets 1887-1896
  Eurídice Corbí Verdú, Marc Franco Salvador
• NetGuardAI at EXIST2025: Sexism Detection using mDeBERTa 1897-1905
  Maria-Diana Cotelin, Ciprian-Octavian Truică, Elena-Simona Apostol
• Sexism Identification in Social Networks using LLMs 1906-1946
  Leire Dominguez-Sol Sastre, Isabel Segura Bedmar
• ECA-SIMM-UVa at EXIST 2025: A Segmentation Oriented Approach to Sexism Detection in Tik Tok Videos Based on a "One Is Enough" Paradigm 1947-1958
  David Fernández García, Enrique Amigó Cabrera, Valentín Cardeñoso Payo
• COMFOR at EXIST 2025: Support Vector Machines vs. Large Language Models in Sexism Detection 1959-1977
  Fabio Fritzsche, Jenny Felser, Michael Spranger
• I2C-UHU-Altair at EXIST2025: Multimodal Sexism Detection and Classification Using Advanced Vision-Language Models BLIP2 and Qwen, Large Language Models, and Learning with Disagreement Frameworks 1978-1993
  Manuel Guerrero-García, Fernando Carrillo-García, Jacinto Mata-Vázquez, Victoria Pachón-Álvarez
• Dandys-de-BERTganim at EXSIST 2025: a Multi-task Learning Architecture for Sexism Identification 1994-2003
  Marc Hurtado, Aleixandre Tarrasó
• Sexism Detection in Multilingual Tweets 2004-2011
  Ahmed Ibrahim, Rui Lopes
• TrankilTwice at EXIST2025: Detecting Sexism in Memes under Multi-Lingual Settings 2012-2022
  Paolo Italiani, Fariha Maqbool, David Gimeno-Gómez, Elisabetta Fersini, Carlos-D. Martínez-Hinarejos
• Sexism Identification using Annotator Ranking in Memes: A Multimodal Approach Using Transformers 2023-2035
  Deobrat Kumar Jha, Mitesh Kumar Mandal, Anand Kumar Madasamy
• Multilingual Sexism Detection through Domain Adaptation and Label-Augmented Translation 2036-2045
  Sahrish Khan, Arshad Jhumka, Gabriele Pergola
• FHSTP@EXIST 2025 Benchmark: Sexism Detection with Transparent Speech Concept Bottleneck Models 2046-2057
  Roberto Labadie-Tamayo, Adrian Jaques Böck, Djordje Slijepčević, Xihui Chen, Andreas Babic, Matthias Zeppelzauer
• GrootWatch at EXIST 2025: Automatic Sexism Detection on Social Networks - Classification of Tweets and Memes 2058-2083
  Nathan Nowakowski, Lorenzo Calogiuri, Elöd Egyed-Zsigmond, Diana Nurbakova, Johan Erbani, Sylvie Calabretto
• UMUTeam at EXIST 2025: Multimodal Transformer Architectures and Soft-Label Learning for Sexism Detection 2084-2099
  Ronghao Pan, Tomás Bernal-Beltrán, José Antonio García-Díaz, Rafael Valencia-Garcia
• CLiC at EXIST 2025: Combining Fine-tuning and Prompting with Learning with Disagreement for Sexism Detection 2100-2111
  Pol Pastells, Mauro Vázquez, Mireia Farrús, Mariona Taulé
• Awakened at EXIST2025: Adaptive Mixture of Transformers 2112-2118
  Alexandru Petrescu, Elena-Simona Apostol, Ciprian-Octavian Truică
• NYCU-NLP at EXIST 2025: An Empirical Study of Annotator-Aware Two-Stage Pipeline for Sexism Detection in Tweets 2119-2132
  Joy Chrissetyo Prajogo, Lung-Hao Lee, Hsien-I Lin
• Comparative Analysis of Transformer-Based Models for Sexism Detection in Text 2133-2143
  Beatriz Ruiz
• Mario at EXIST 2025: A Simple Gateway to Effective Multilingual Sexism Detection 2144-2156
  Lin Tian, Johanne R. Trippas, Marian-Andrei Rizoiu
• Knowledge Expansion Guided by Justification for Improved Sexism Categorization 2157-2164
  Kapioma Villarreal-Haro, Fernando Sánchez-Vega, Adrián Pastor López-Monroy
• Leveraging Reasoning of Auto-Revealed Insights via Knowledge Injection and Evolutionary Prompting for Sexism Analysis 2165-2181
  Kapioma Villarreal-Haro, Judith Tavarez-Rodríguez, Guillermo Segura-Gómez, Alejandro Rosales-Pérez, Fernando Sánchez-Vega, Adrián Pastor López-Monroy

Multimodal Challenge in CLEF (ImageCLEF)

• Overview of the ImageCLEFMedical 2025 GANs Task: Training Data Analysis and Fingerprint Detection 2182-2196
  Alexandra-Georgiana Andrei, Mihai Gabriel Constantin, Mihai Dogariu, Ahmedkhan Radzhabov, Liviu-Daniel Ștefan, Yuri Prokopchuk, Vassili Kovalev, Henning Müller, Bogdan Ionescu
• Overview of ImageCLEFmedical 2025 -- Medical Concept Detection and Interpretable Caption Generation 2197-2223
  Hendrik Damm, Tabea M. G. Pakull, Helmut Becker, Benjamin Bracke, Bahadi̇̀r Eryi̇̀lmaz, Louise Bloch, Raphael Brüngel, Cynthia S. Schmidt, Johannes Rückert, Obioma Pelka, Henning Schäfer, Ahmad Idrissi-Yaghir, Asma Ben Abacha, Alba G. Seco de Herrera, Henning Müller, Christoph M. Friedrich
• Overview of ImageCLEFmedical 2025 -- Visual Question Answering and Synthetic Image Generation for Gastrointestinal Tract 2224-2232
  Sushant Gautam, Vajira Thambawita, Michael Riegler, Pål Halvorsen, Steven Hicks
• Overview of the MEDIQA-MAGIC Task at ImageCLEF 2025: Multimodal And Generative TelemedICine in Dermatology 2233-2240
  Wen-Wai Yim, Asma Ben Abacha, Noel Codella, Roberto Andres Novoa, Josep Malvehy
• Overview of the 2025 ImageCLEFtoPicto Task -- Investigating the Generation of Pictogram Sequences from Text and Speech 2241-2248
  Cécile Macaire, Diandra Fabre, Benjamin Lecouteux, Didier Schwab
• Overview of ImageCLEF 2025 -- Multimodal Reasoning 2249-2263
  Dimitar Dimitrov, Ming Shan Hee, Zhuohan Xie, Rocktim Jyoti Das, Momina Ahsan, Sarfraz Ahmad, Nikolay Paev, Ivan Koychev, Preslav Nakov
• Towards Better Gastrointestinal Diagnosis: Evaluating Vision-Language Models For GI VQA 2264-2274
  Omar Adjali
• MSA at ImageCLEF 2025 Multimodal Reasoning: Multilingual Multimodal Reasoning With Ensemble Vision-Language Models 2275-2283
  Seif Ahmed, Mohamed Younes, Abdelrahman Moustafa, Abdulrahman Allam, Hamza Moustafa
• Ayeshaamjad at ImageCLEF 2025 Multimodal Reasoning: Visual Question Answering with Structured Data Extraction and Robust Reasoning 2284-2300
  Ayesha Amjad, Fatima Seemab, Saima Kausar, Seemab Latif, Mehwish Fatima
• AI Multimedia Lab at ImageCLEFmedical GANs 2025: Identifying Real-Image Usage in Generated Medical Images 2301-2310
  Alexandra-Georgiana Andrei, Mihai Gabriel Constantin, Mihai Dogariu, Liviu-Daniel Ștefan, Bogdan Ionescu
• JJ-VMed: A Framework for Automated Concepts, Captions and Explainability of Medical Image 2311-2332
  Johanna Angulo, Jenny Aguilar
• Controlling the Quality of Synthetic Medical Images Created via GANs 2333-2340
  Farhaan Areeb, Divyansh Vashist, Lekshmi Kalinathan
• The Kasukabe Defense Group at MEDIQA-MAGIC 2025: Clinical Visual Question Answering with Resource-Efficient Multi-modal Learning 2341-2349
  Khushi Bahadur Desai, Varunkumar S Hiregoudar, Ishan G Kulkarni, Ratan Dhane, Padmashree Desai, Sujatha C, Uma Mudenagudi, Ramesh Ashok Tabib
• Reverse Engineering Generative Fingerprints in Medical Images: A Deep Learning Approach to Training Data Attribution 2350-2359
  Mitra Barve, Nikita Bhedasgaonkar, Isha Shah, Sara Nambiar, Atharva Date, Geetanjali Kale
• UIT-Oggy at ImageCLEFmedical 2025 Caption: CSRA-Enhanced Concept Detection and BLIP-Driven Vision-Language Captioning 2360-2372
  Gia-Phuc Bui-Hoang, My-Huyen Dinh-Doan, Van-Minh Luong, Thien B. Nguyen-Tat
• Detecting Training Data Fingerprints in GAN-Generated Medical Images 2373-2381
  Shruti Chandrasekar, Vedajanaani R S, Vijayalakshmi P
• Identify Training Data Subsets in GAN-Generated Medical Images 2382-2390
  Shruti Chandrasekar, Vedajanaani R S, Vijayalakshmi P
• AUEB NLP Group at ImageCLEFmedical Caption 2025 2391-2414
  Anna Chatzipapadopoulou, Ippokratis Pantelidis, Foivos Charalampakos, Marina Samprovalaki, Georgios Moschovis, Panagiotis Kaliosis, Kalliopi V. Dalakleidi, John Pavlopoulos, Ion Androutsopoulos
• Modality-Guided Radiology Caption Prediction with small Vision-Language Models and image classifier 2415-2425
  Raisa Nusrat Chowdhury, Mahmudul Hoque, Md Rakibul Hasan, Ejiga Peter Oluwafemi, Md Mahmudur Rahman
• Bridging the Modality Gap Through CoT-Enhanced Multimodal Reasoning 2426-2431
  Shengjun Deng, Guo Niu, Xiongfei Yao, Huanlin Mo, Tao Li, Shuaiwei Jiao
• Multimodal AI for Gastrointestinal Diagnostics: Tackling VQA in MEDVQA-GI 2025 2432-2441
  Sujata Gaihre, Amir Thapa Magar, Prasuna Pokharel, Laxmi Tiwari
• Identifying the Origins of Synthetic Biomedical Images: An Ensemble Approach with Pseudo-Labeling 2442-2447
  Amilcare Gentili
• DS4DH Group at ImageCLEFmedical Caption 2025 2448-2460
  Jiawei He, Sohrab Ferdowsi, Weibo Feng, Fernando Alves, Alexandra Platon, Douglas Teodoro
• Parlez-vous Picto? A Transformer-Based Approach for Text-to-Picto and Speech-to-Picto Translation in French 2461-2475
  Maja J. Hjuler, Indira Fabre
• Team plutohbj at ImageCLEF 2025 Multimodal Reasoning: Meta-learning LoRa fine-tuning for MultimodalReasoning 2476-2485
  Baijian Huang, Changle Zhong, Kai Yan
• ContextDrift at ImageCLEF 2025 Multimodal Reasoning: Evaluating VLMs' Multimodal, Multilingual and Multidomain Reasoning Capabilities via Thinking Budget Variations and Textual Augmentation 2486-2499
  Vasilena T. Krazheva, Diana Markova, Dimitar I. Dimitrov, Ivan Koychev, Preslav Nakov
• Anastasia at MEDIQA-MAGIC 2025: A Multi-Approach Segmentation Framework with Extensive Augmentation 2500-2510
  Tung Thanh Le, Tri Minh Ngo, Khoi Dinh Nguyen, Trung Hieu Dang, Trong Hoang Pham, Thien B. Nguyen-Tat
• AI Stat Lab: A Modular Framework for Clinically Accurate Medical Image Captioning Using Vision-Language Models 2511-2523
  Yunseo Lee, Hyun Jun Kim, Heeseung Shin, Changwon Lim
• Multimodal Learning for Skin Lesion Segmentation and Closed Visual Question Answering 2524-2531
  Bhagyashree Mallanaikar, Shradha Kekare, Padmashree Desai, Sujata C, Uma Mudenagudi, Ramesh Ashok Tabib, Anjali Savalkar, Aishwarya S.H
• Multimodal Reasoning in Multilingual Visual Question Answering: A Prompt-Tuned Qwen2.5-vl-plus Approach 2532-2538
  Huanlin Mo, Guo Niu, Shengjun Deng, Xiongfei Yao, Tao Li, Shuaiwei Jiao
• Solving Medical Data Limitations Through AI: Multi-Modal Vision-Language Learning for Gastrointestinal VQA and Synthetic Training Data Generation 2539-2552
  Ejiga Peter Oluwafemi, Mahmudul Hoque, Ejiga Frederick Akor, Raisa Nusrat Chowdhury, Abdullahi Umar, Md Mahmudur Rahman
• UMUTeam at ImageCLEF 2025: Fine-Tuning a Vision-Language Model for Medical Image Captioning and SapBERT-Based Reranking for Concept Detection 2553-2563
  Ronghao Pan, Tomás Bernal-Beltrán, José Antonio García-Díaz, Rafael Valencia-Garcia
• Querying GI Endoscopy Images: A VQA Approach 2564-2570
  Gaurav Parajuli
• DermoSegDiff and DermKEM for Comprehensive Dermatology AI 2571-2588
  Nguyen Pham Hoang Le, Hoang Pham Duc Huy, Hien Thai Dinh Nhat, Hoang Thach Minh, Thien B. Nguyen-Tat
• Evaluating Deep CNNs for Multi-Label Concept Detection in ROCOv2 Radiology Image Dataset by Team LekshmiscopeVIT 2589-2595
  Aryan Sahni, Rachit Gupta, Raamigaani Venugopal Reddy, Lekshmi Kalinathan
• Detecting Concepts for Medical Images: Contributions of the DeepLens Team at IUST to ImageCLEFmedical Caption 2025 2596-2608
  Amir Hossein Salimi Rudsari, Bahareh Kavousi Nejad, Malihe Hajihosseini, Sauleh Eetemadi
• Detecting Training Data Usage in Synthetic Images Using Machine Learning Techniques 2609-2618
  Krithikha Sanju Saravanan, Mohanavalli Subramaniam, R B Anirudh Narayanan, Bharath P, Karunanidhi Ayyamperumal
• Leveraging Qwen2.5-VL-72B-Instruct for Visual Question Answering: A Study on the EXAMS-V Benchmark in ImageCLEF 2025 2619-2624
  Tarun Srikumar, Sathish Kesavan, Abinayaa Morekonda Balan, Derrick Samuel, Maneesh Ram Kalugasala Moorthy, Gobi Elangovan, Vinayak Kumar Singh, Lekshmi Kalinathan
• Advancing Vision and Language in GI Diagnosis: Florence2 for Question Answering and Stable Diffusion for Image Synthesis 2625-2639
  Krishna Tewari, Sukomal Pal
• IReL, IIT(BHU) at MEDIQA-MAGIC 2025: Tackling Multimodal Dermatology with CLIPSeg-Based Segmentation and BERT-Swin Question Answering 2640-2650
  Krishna Tewari, Abhyudaya Verma, Sukomal Pal
• Cultivating Multimodal Intelligence: Interpretive Reasoning and Agentic RAG Approaches to Dermatological Diagnosis 2651-2680
  Karishma Thakrar, Shreyas Basavatia, Akshay Daftardar
• ImageCLEF-Medical 2025: MedCLIP Model for Medical Caption Prediction and Concept Detection 2681-2689
  Sakthi Mukesh Thanga Mariappan, Beulah Arul, Muthulakshmi Ramasamy
• Zero-Shot Reasoning with BLIP and SmolLM 2690-2694
  Elena Tosheva, Dimitar Dimitrov, Ivan Koychev, Preslav Nakov
• A Multimodal Feature Alignment Prompt-Enhanced Method for Multimodal Reasoning 2695-2703
  Qida Wu, Leilei Kong, Jianzhong Yan, Junyi Li
• Multi-Prompt Ensemble Reasoning for MultimodalReasoning 2704-2711
  Jianzhong Yan, Leilei Kong, Qida Wu, Junyi Li
• Enhancing Multilingual VQA with Structured Prompts and Vision-Language Alignment 2712-2717
  Xiongfei Yao, Guo Niu, Tao Li, Huanlin Mo, Shengjun Deng, Shuaiwei Jiao
• Evaluation of the Privacy of Images Generated by ImageCLEFmedical GANs 2025 Based on Pre-trained Model Feature Extraction Methods 2718-2727
  Dengtao Zhang, Xutao Yang
• ViT-based Generative Model Fingerprinting 2728-2735
  Yijiang Zhou, Haiyan Ding
• Evaluating of the Privacy of Images Generated by ImageCLEFmedical GAN 2025 Using Similarity Classification Method Based on Image Enhancement and Deep Learning Model 2736-2743
  Haojie Zuo, Xiaobing Zhou

Humour in the Machine (JOKER)

• Overview of the CLEF 2025 JOKER Task 1: Humour-aware Information Retrieval 2744-2760
  Liana Ermakova, Ricardo Campos, Anne-Gwenn Bosser, Tristan Miller
• Overview of the CLEF 2025 JOKER Task 2: Wordplay Translation from English into French 2761-2779
  Liana Ermakova, Ricardo Campos, Anne-Gwenn Bosser, Tristan Miller
• Overview of the CLEF 2025 JOKER Task 3: Onomastic Wordplay Translation 2780-2790
  Liana Ermakova, Tristan Miller, Yaël Naud, Anne-Gwenn Bosser, Ricardo Campos
• DUTH at CLEF JOKER 2025 Tasks 2 and 3: Translating Puns and Proper Names with Neural Approaches 2791-2802
  Georgios Arampatzis, Avi Arampatzis
• PICT at CLEF 2025 JOKER Track: Humour-Aware Information Retrieval using BERT-Enhanced Ensemble Methods 2803-2812
  Tanish Chaudhari, Ansh Vora, Sanjeev Hotha, Sheetal Sonawane
• CLEF 2025 JOKER Track Enhancing Humor-Aware Information Retrieval with Relevance-Aware Classification 2813-2820
  Bo Chen, Changle Zhong, Leilei Kong
• University of Amsterdam at the CLEF 2025 JOKER Track 2821-2828
  Alecsandru Kreefft-Libiu, Finley Helms, Cem Selçuk, Jan Bakker, Jaap Kamps
• CLEF 2025 JOKER Track: No Pun Left Behind 2829-2837
  Igor Kuzmin
• UTBNLP at CLEF JOKER 2025 Task 2: mBART-50 Fine-Tuning with Dictionary-Guided Forced Decoding and Phoneme-Based Techniques for English-French Pun Translation 2838-2848
  Duvan Andres Marrugo-Tobon, Jeison D. Jimenez, Jairo E. Serrano, Juan C. Martinez-Santos, Edwin Puertas
• REC_Cryptix at JOKER CLEF 2025: Teaching Machines to Laugh: Multilingual Humor Detection and Translation 2849-2859
  Sarath Kumar P, Beulah A, Sushmitha M, Thanalaxmi S
• VerbaNexAI at CLEF 2025 JOKER Task 3: Multi-Model LLM Approach for Onomastic Wordplay Translation 2860-2869
  Maria Paz Ramirez Atencio, Jeison D. Jimenez, Deyson Gómez Sánchez, Jairo E. Serrano, Juan C. Martinez-Santos, Edwin Puertas
• Pun Intended: Multi-Agent Translation of Wordplay with Contrastive Learning and Phonetic-Semantic Embeddings for CLEF JOKER 2025 Task 2 2870-2888
  Russell Taylor, Benajmin Herbert, Michael Sana
• pjmathematician at the CLEF 2025 JOKER Lab Tasks 1, 2 & 3: A Unified Approach to Humour Retrieval and Translation using the Qwen LLM Family 2889-2897
  Poojan Vachharajani

Challenges on Species Presence Prediction and Identification, and Individual Animal Identification (LifeCLEF)

• Overview of AnimalCLEF 2025: Recognizing Individual Animals in Images 2898-2908
  Lukáš Adam, Kostas Papafitsoros, Roman Kovář, Vojtěch Čermák, Lukáš Picek
• Overview of BirdCLEF+ 2025: Multi-Taxonomic Sound Identification in the Middle Magdalena, Colombia 2909-2919
  Juan Sebastián Cañas, Stefan Kahl, Tom Denton, Maria Paula Toro-Gómez, Susana Rodriguez-Buritica, Jose Luis Benavides-Lopez, Juan Sebastián Ulloa, Paula Caycedo-Rosales, Holger Klinck, Hervé Goëau, Willem-Pier Vellinga, Robert Planqué, Alexis Joly
• Overview of FungiCLEF 2025: Few-Shot Classification With Rare Fungi Species 2920-2931
  Klara Janouskova, Jiří Matas, Lukáš Picek
• Overview of GeoLifeCLEF 2025: Plant Species Presence Prediction with Environmental and High-resolution Remote Sensing Data 2932-2941
  Lukáš Picek, César Leblanc, Théo Larcher, Maximilien Servajean, Pierre Bonnet, Alexis Joly
• Overview of PlantCLEF 2025: Multi-Species Plant Identification in Vegetation Quadrat Images 2942-2954
  Giulio Martellucci, Hervé Goëau, Pierre Bonnet, Fabrice Vinatier, Alexis Joly
• I2C-UHU-PEGASUS at FungiCLEF 2025: Multimodal Pipeline for Rare Fungal Species Classification Using Fine-Tuned VLMs and Ecological Context 2955-2968
  Fernando Carrillo García, Victoria Pachón Álvarez, Jacinto Mata Vázquez, Manuel Guerrero García
• Enhancing Presence-Absence Prediction Models Using Presence-Only Data 2969-2978
  Tim Chopard, Darren Rawlings
• Preprocessing Is All You Need: TheHeartOfNoise Submission to PlantCLEF 2025 2979-3000
  Vincent Espitalier
• Few-Shot Fungi Classification with Prototypical Networks Using Multiple Pretrained Embedding Models 3001-3010
  Jack N. Etheredge
• Gradient Boosting Similarity in Entity Matching 3011-3018
  Sergei Fedorchenko, Sergei Arefiev
• Zero-Shot Segmentation through Prototype-Guidance for Multi-Label Plant Species Identification 3019-3028
  Luciano Araujo Dourado Filho, Almir Moreira da Silva Neto, Rodrigo Pereira David, Rodrigo Tripodi Calumby
• Tile-Based ViT Inference with Visual-Cluster Priors for Zero-Shot Multi-Species Plant Identification 3029-3038
  Murilo Gustineli, Anthony Miyaguchi, Adrian Cheung, Divyansh Khattak
• Multi-Label Plant Species Prediction with Metadata-Enhanced Multi-Head Vision Transformers 3039-3049
  Hanna Herasimchyk, Robin Labryga, Tomislav Prusina
• Post-Hoc Aggregation as a Competitive Alternative to Model-Centric Pipelines: NEUON Submission to PlantCLEF 2025 3050-3068
  Hamza Ahmed Ishrat, Sue Han Lee, Yang Loong Chang, Kok Chin Chai
• Fusion of Global and Local Descriptors with Feature Calibration for Multi-Species Animal Re-Identification: AnimalCLEF 2025 3069-3079
  Dongyeon Kim, Bohee Park, Hanjun Bae, Sua Lee, Chaeyeon Lee
• Tighnari v2: Mitigating Label Noise and Distribution Shift in Multimodal Plant Distribution Prediction via Mixture of Experts and Weakly Supervised Learning 3080-3093
  Haixu Liu, Yufei Wang, Tianxiang Xu, Chuancheng Shi, Hongsheng Xing
• Few-Shot Classification of Fungi Species Using Contrastive Representation Learning and Multimodal Fusion 3094-3101
  Lianping Lu, Heng Yang, Shuo Li, Fang Liu, Puhua Chen, Wenping Ma
• Tiles-wise Inference with Vision Transformers for Multispecies Identification in Vegetation Images 3102-3110
  Andrea Menco-Tovar, Jairo E. Serrano, Juan Carlos Martinez-Santos, Edwin Puertas
• Distilling Spectrograms into Tokens: Fast and Lightweight Bioacoustic Classification for BirdCLEF+ 2025 3111-3127
  Anthony Miyaguchi, Murilo Gustineli, Adrian Cheung
• DS@GT AnimalCLEF: Triplet Learning over ViT Manifolds with Nearest Neighbor Classification for Animal Re-identification 3128-3138
  Anthony Miyaguchi, Chandrasekaran Maruthaiyannan, Charles R. Clark
• Individual Wildlife Recognition via Hybrid Global-Local Matching and Segmentation-Aware Filtering 3139-3146
  Roman Pakhomov, Grigory Demidov, Kristian Bogdan, Svyatoslav Lanskikh, Danis Dinmuhametov, Andrey Khlopotnykh
• Shadow Spark at PlantCLEF 2025 : Multi-Label Plant Species Classification using Tiling-based Inference 3147-3153
  Jayasree R, P Mirunalini, Kawvya M K, Harini J
• Meta‑Algorithm for Open‑Set Animal Re-ID: WildFusion, XGBoost, and Dual‑Backbone ArcFace 3154-3165
  Nelly Semenova
• Optimizing a Vision Transformer with Ecological Context for Multi-Label Plant Species Identification 3166-3178
  Nelly Semenova
• One Detector per Bird: A Scalable Binary Classification Approach for BirdCLEF 2025 3179-3198
  Shreejith Suthraye Gokulnath, Chandrima Das, Arya Gaikwad, Keerthana Senthilnathan, Shruti Sawant
• Predicting Plant Species Distribution with a Multimodal Swin Transformer Network: A GeoLifeCLEF 2025 Report 3199-3207
  Aman R. Syayfetdinov
• Tackling Domain Shift in Bird Audio Classification via Transfer Learning and Semi-Supervised Distillation: A Case Study on BirdCLEF+ 2025 3208-3228
  Volodymyr Sydorskyi, Fernando Gonçalves
• Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification 3229-3241
  Jason Kahei Tam, Murilo Gustineli, Anthony Miyaguchi
• Open-set Animal Re-identification via Multilevel Feature Fusion 3242-3247
  Jingyin Tan, Aiguo Wang
• Dual-branch Network for Species Identification via Passive Acoustic Monitoring 3248-3253
  Jingyin Tan, Aiguo Wang
• I2C-UHU-PERSEUS at PlantClef 2025: Multi-Label Identification and Classification of Plant Species in Images Using Object Detection Techniques 3254-3262
  Jesús Tejón Carrillo, David Prieto Araujo, Victoria Pachón Álvarez, Jacinto Mata Vázquez
• Synthesizing Joint and Deep Species Distribution Modeling to Enhance Spatial Prediction of Plant Communities at Continental Scale 3263-3274
  Gleb Tikhonov, Dmitry Tikhonov
• Improving Fungi Prototype Representations for Few-Shot Classification 3275-3286
  Abdarahmane Traore, Éric Hervet, Andy Couturier
• Mushroom for Improvement: Prototypical Few-Shot Learning with Multimodal Fungal Features 3287-3295
  Tuan-Anh Yang, Minh-Quang Nguyen

Longitudinal Evaluation of Model Performance (LongEval)

• Extended Abstract of LongEval at CLEF 2025: Longitudinal Evaluation of IR Systems on Web and Scientific Data 3296-3299
  Matteo Cancellieri, Alaa El-Ebshihy, Tobias Fink, Maik Fröbe, Petra Galuščáková, Gabriela González Sáez, Lorraine Goeuriot, David Iommi, Jüri Keller, Petr Knoth, Philippe Mulhem, Florina Piroi, David Pride, Philipp Schaer
• DataHunter at LongEval: Temporal Stability Analysis of Boolean and CamemBERT-Based Retrieval Systems 3300-3315
  Mukhtar Abenov, Leonardo Pontello, Francesca Zaccarin, Shen Zhang, Nicola Ferro
• Team OpenWebSearch at LongEval: Using Historical Data for Scientific Search 3316-3326
  Daria Alexander, Maik Fröbe, Gijs Hendriksen, Matthias Hagen, Djoerd Hiemstra, Martin Potthast, Arjen P. de Vries
• Team RAND at LongEval: Composable Information Retrieval with Semantic and Language-Aware Components 3327-3344
  Giorgia Amato, Nicolas Brentel, Alessio Demo, Steven Laghetto, Francesco Pivotto, Iegor Toporov, Nicola Ferro
• SEUPD@CLEF: Team BASETTE at LongEval: IR System for Basic Hardware 3345-3373
  Alberto Bottari, Lorenzo Croce, Fatemeh Mahvari Habib Abadi, Nicola Ferro
• CIR at LongEval 2025: Exploring Temporal Sensitivity in Web Retrieval 3374-3382
  Florian Braun, Timo Busch, Muhammed Sirac Coban, Maryam El Ghadioui, Davit Hovhannisyan, Kristine Jonina, Andreas Large, Felix Zhi Yong Lin, Eric Loewenstein, Lars Maaßen, Nadine Maron, Mark Henri Mörsheim, Joshua Azimoh Nduka Ofunim, Vadims Romanovskis, Alexander Simon, Jan Witalla, Max Wollenberg, Jüri Keller, Philipp Schaer
• Team 3DS2A at LongEval: Performance Evaluation over Time of IR Systems with Proximity Search and Reranking Components 3383-3411
  Andrea Bruttomesso, Daniele Cavazza, Alessandro Corrò, Simone Peraro, Davide Seghetto, Nicola Ferro
• SARD at LongEval: On Longitudinal Evaluation of IR Systems by Using Query Rewriting and Hybrid Queries 3412-3432
  Damiano Caon, Riccardo Dal Maschio, Alessandro Disarò, Sofia Maule, Nicola Ferro
• SEUPD@CLEF Team RISE at LongEval: Improving Search by Crafting Titles and Matching URLs 3433-3453
  Davide Furlan, Giulia Gibellato, Seyedeh Sara Nazirialhashem, Emanuele Pase, Alberto Pasqualetto, Filippo Tiberio, Nicola Ferro
• SEUPD2425-RACOON at LongEval 2025: A novel approach to Information Retrieval with LLM-based query expansion and temporal relevance feedback techniques 3454-3474
  Giovanni Gaio, Filippo Mazzarotto, Matteo Meneghin, Enrico Saro, Francesco Visonà, Nicola Ferro
• DS@GT at LongEval: Evaluating Temporal Performance in Web Search Systems and Topics with Two-Stage Retrieval 3475-3487
  Anthony Miyaguchi, Imran Afrulbasha, Aleksandar Pramov
• CIR_cluster at LongEval 2025: Clustering Query Variants for Temporal Generalization 3488-3494
  Arthur Muanza Ndiema, Jüri Keller, Philipp Schaer
• AGH IR at LongEval: Improving Scientific Information Retrieval with Dense Representations and Cross-Encoder Re-ranking 3495-3503
  Jan Stryszewski, Wiktor Prosowicz, Tomasz Kawiak, Adrian Jaśkowiec

Stylometry and Digital Text Forensics (PAN)

• Overview of the “Voight-Kampff” Generative AI Authorship Verification Task at PAN and ELOQUENT 2025 3504-3534
  Janek Bevendorff, Yuxia Wang, Jussi Karlgren, Matti Wiegmann, Maik Fröbe, Akim Tsivgun, Jinyan Su, Zhuohan Xie, Mervat Abassy, Jonibek Mansurov, Rui Xing, Minh Ngoc Ta, Kareem Ashraf Elozeiri, Tianle Gu, Raj Vardhan Tomar, Jiahui Geng, Ekaterina Artemova, Artem Shelmanov, Nizar Habash, Efstathios Stamatatos, Iryna Gurevych, Preslav Nakov, Martin Potthast, Benno Stein
• Overview of the Multilingual Text Detoxification Task at PAN 2025 3535-3567
  Daryna Dementieva, Vitaly Protasov, Nikolay Babakov, Naquee Rizwan, Ilseyar Alimova, Caroline Brun, Vasily Konovalov, Arianna Muti, Chaya Liebeskind, Marina Litvak, Debora Nozza, Shehryaar Shah Khan, Sotaro Takeshita, Natalia Vanetik, Abinew Ali Ayele, Florian Schneider, Xintong Wang, Seid Muhie Yimam, Ashraf Elnagar, Animesh Mukherjee, Alexander Panchenko
• Overview of the Multi-Author Writing Style Analysis Task at PAN 2025 3568-3574
  Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein
• Overview of the Plagiarism Detection Task at PAN 2025 3575-3585
  André Greiner-Petter, Maik Fröbe, Jan Philip Wahle, Terry Ruas, Bela Gipp, Akiko Aizawa, Martin Potthast
• Team KSU at PAN 2025: Multi-Author Writing Style Analysis in English Texts Based on Graph Convolutional Networks 3586-3596
  Abeer Saad Alsheddi, Mohamed El Bachir Menai
• DivEye at PAN 2025: Diversity Boosts AI-Generated Text Detection 3597-3608
  Advik Raj Basani, Pin-Yu Chen
• Style Change Detection Using Graph and Structural Linguistic Features for Multi-Author Writing Analysis 3609-3616
  Ioana-Roxana Boriceanu, Andra-Elena Băltoiu
• Team TMU at PAN 2025: An Ensemble of Fine-Tuned LaBSE and Siamese Neural Network for Multi-Author Writing Style Analysis 3617-3624
  Sara Bourbour Hosseinbeigi, Ali Mehrani
• MetaDetox at TextDetox CLEF 2025: Detoxification with Few-Chain Prompting 3625-3633
  Sara Bourbour Hosseinbeigi, Amin Saeidi Kelishami, Maryam Gheysari, Fatemeh Rahimzadeh
• Team cornell-1 at PAN: Ensembling Fine-Tuned Transformer Models for Writing Style Analysis 3634-3640
  Deniz Bölöni-Turgut, Dhriti Verma, Claire Cardie
• Llama-3 with 4-bit Quantization and IA3 Tuning for Multi-Author Writing Style Analysis 3641-3647
  Donejie Chen, Jijie Li, Haoliang Qi
• GemDetox at TextDetox CLEF 2025: Enhancing a Massively Multilingual Model for Text Detoxification on Low-resource Languages 3648-3663
  Trung Duc Anh Dang, Ferdinando Pio D'Elia
• HF_Detox at TextDetox CLEF 2025: Prompt-Driven Multilingual Detoxification 3664-3671
  Humaira Farid, Zainab Ahmad, Ahmad Mahmood, Iqra Ameer
• RoBERT-IA: Human-AI Collaborative Text Classification 3672-3680
  Deyson Gómez Sánchez, Jeison D. Jimenez, María Paz Ramírez, Jairo E. Serrano, Juan C. Martinez-Santos, Edwin Puertas
• Application and Analysis of Roberta-base Model Fine Tuning Based on Data Enhancement in AI Text Detection 3681-3688
  Jiancheng Huang, Haojie Cao, Xiaocan Lin, Zhongyuan Han
• ReText.Ai Team at PAN 2025: Applying a Multiple Classification Heads to a Transformer Model for Human-AI Collaborative Text Classification 3689-3697
  Daria Ignatenko, Konstantin Zaitsev, Olga Shkriaba
• Team SINAI-INTA at PAN 2025: Uncovering Machine Generated Text with Linguistic Features 3698-3706
  Maria Jimeno-Gonzalez, Eugenio Martínez-Cámara, Noelia Fernandez, Pedro Díaz-García, Luis Alfonso Ureña-López
• SVATS at PAN 2025 TextDetox: Can Small Models Outperform Large Ones in Text Detoxification? 3707-3726
  Vladislav Kozlovskiy, Sameer Tantry, Alexander Ploskin, Tatyana Matveeva, Sofya Savelyeva
• OpenFact at PAN 2025: Punctuation-Guided Pretraining for Sentence-Level Style Change Detection 3727-3733
  Ewelina Księżniak, Krzysztof Węcel, Marcin Sawiński
• Voight-Kampff AI Detection Sensitivity 3734-3739
  Ritesh Kumar, Arya Trivedi, Ojaswa Varshney
• ylmmcl at Multilingual Text Detoxification 2025: Lexicon-Guided Detoxification and Classifier-Gated Rewriting 3740-3755
  Nicole Lai-Lopez, Lusha Wang, Su Yuan, Lisa Zhang
• Generative AI detection using simple Feature Selection and SVM 3756-3762
  Joseph Larson
• Team Bohan Li at PAN: DeBERTa-v3 with R-Drop Regularization for Human-AI Collaborative Text Classification 3763-3769
  Bohan Li, Haoliang Qi, Kai Yan
• Fine-Grained Human-AI Collaborative Text Classification Using DeBERTa 3770-3774
  Tao Li, Guo Niu
• Text Author Classification: A ModernBERT Approach with Gradient Loss Function 3775-3780
  Zhankeng Liang, Kaiyin Sun, Haojie Cao, Jieren Luo, Zhongyuan Han
• SCL-DeBERTa: Multi-Author Writing Style Change Detection Enhanced by Supervised Contrastive Learning 3781-3787
  Kaichuan Lin, Chang Liu, Fuchuan Ye, Zhongyuan Han
• Team wqd at Style Change Detection in Multi-Author Writing: A Deep Learning Approach Based on DeBERTa 3788-3792
  Xiaocan Lin, Chang Liu, Xianbing Duan, Zhongyuan Han
• Generative AI Authorship Verification Based on Contrastive-Enhanced Dual-Model Decision System 3793-3802
  Junlang Liu, Leilei Kong, Zhenyu Peng, Feifan Chen
• TextDetox CLEF 2025/Multilingual Text Detoxification 2025 Jiaozipi: A Multilingual Text Detoxification Method Based on Large Language Model-Based Ensemble Learning 3803-3812
  Xiaohui Liu, Yusheng Yi, Zhaotian Chen, Simin Xu, Zijun Ke, Xin Guo, Yubo Huang, Wenxuan Zhang, Jiayi Chen, Yong Han
• Team jr at Generative Plagiarism Detection 2025: A Two-Stage Approach: From TF-IDF/Jaccard Filtering to Transformer Classification 3813-3818
  Jieren Luo, Mancheng Huang, Biao Liu, Zhongyuan Han
• mdok of KInIT: Robustly Fine-tuned LLM for Binary and Multiclass AI-Generated Text Detection 3819-3826
  Dominik Macko
• Unibuc - NLP at "Voight-Kampff" Generative AI Detection PAN 2025 3827-3841
  Teodor Marchitan, Claudiu Creanga, Liviu P. Dinu
• Team HHU - An Ensemble-Based Approach to Multi-Author Writing Style Analysis Combining Experts for Different Difficulty Levels 3842-3849
  Philipp Meier, Katarina Boland, Laura Kallmeyer, Stefan Dietze
• Using Semantic Similarity and Overlap Ratio Optimized for Generated Plagiarism Detection 3850-3857
  Derui Mo, Huaiyu Zhang, Xiaojun Zhang, Leilei Kong
• Team Detox at PAN: Multilingual Text Detoxification using LLM 3858-3864
  Gopala Krishna Nuthakki, Lekkala Sai Teja, Atul Mishra
• StylOch at PAN: Gradient-boosted trees with frequency-based stylometric features 3865-3874
  Jeremi K. Ochab, Mateusz Matias, Tymoteusz Boba, Tomasz Walkowiak
• Binoculars, BART, and Adversaries: Multi-Faceted AI Text Detection for PAN 2025 3875-3883
  Benjamin Ostrower, Poonam Dongare, Mahitha Thekkinkattuvalappil Unnikrishnan
• Team cake at TextDetox CLEF 2025/Multilingual Text Detoxification 2025: A Multilingual Text Detoxification Method Based on Chain-of-Thoughts Prompting Approach 3884-3888
  Jiangao Peng, Kaiyin Sun, Kaichuan Lin, Zhankeng Liang, Zhongyuan Han
• Enhancing AI Text Detection with Frozen Pretrained Encoders and Ensemble Learning 3889-3897
  Shushanta Pudasaini, Luis Miralles-Pechuán, David Lillis, Marisa Llorens Salvador
• Sentence-Level Style Change Detection with RoBERTa for Multi-Author Writing Style Analysis 3898-3903
  Harjas Rohra, Nirbhay Shah, Sheetal Sonawane
• Team CNLP-NITS-PP at PAN: Advancing Generative AI Detection: Mixture of Experts with Transformer Models 3904-3915
  Lekkala Sai Teja, Annepaka Yadagiri, Partha Pakray
• Team "better_call_claude": Style Change Detection using a Sequential Sentence Pair Classifier 3916-3928
  Gleb Schmidt, Johannes Römisch, Mariia Halchynska, Svetlana Gorovaia, Ivan P. Yamshchikov
• Human or Not? Light-Weight and Interpretable Detection of AI-Generated Text 3929-3941
  Maximilian Seeliger, Patrick Styll, Moritz Staudinger, Allan Hanbury
• Team Pratham at TextDetox CLEF 2025/Multilingual Text Detoxification 2025: Exploring Different Methods for Multilingual Text Detoxification via Prompted MT0-XL,Lexical Filtering and Backtranslation 3942-3952
  Pratham Shah, Vatsal Shah, Sunil Kale
• Hierarchical Generative Plagiarism Detection Method 3953-3959
  Zongbao Su, Yong Han, Yihao Jia, Leilei Kong
• DeBERTa-FPN: Fusion Feature Pyramid Network for Human-AI Collaborative Text Classification 3960-3965
  Qiyuan Sun, Li Ma, Wenyin Yang, Tufeng Xian, Meifang Xie, Weidong Wu, Zhiliang Zhang, Miaoji Zheng
• Bi-Directional Cross-Entropy Loss and Stylometric Feature Combined Classifier 3966-3971
  Yitao Sun, Svetlana Afanaseva, Kevin Stowe, Kailash Patil
• Efficient Plagiarism Detection via Sentence Embeddings and FAISS-based Retrieval 3972-3976
  JiaCheng Tang, QingBiao Hu, ZhongYuan Han
• LOG-AID: Logit-Based Statistical Features for AI Text Detection 3977-3984
  Sophie Titze, Oren Halvani
• Team The Toxinators 2000 at TextDetox CLEF 2025/Multilingual Text Detoxification 2025: The Evolution of Methods for Text Detoxification: The Role of Language in Method Selection 3985-3994
  Andrei Totok, Artemiy Ermolaev, Anastasia Izyumova, Evgeniy Finogeev
• nikita.sushko at TextDetox CLEF 2025: Exploring A Sage-T5-like Approach For Text Detoxification 3995-4006
  Alexandr Voronin, Daniil Moskovsky, Nikita Sushko
• Team Advacheck at PAN: Multitasking Does All the Magic 4007-4014
  Anastasia Voznyuk, German Gritsai, Andrey Grabovoy
• Adept: AI-Generated Text Detection Based on Phrasal Category N-Grams 4015-4025
  Felix Völpel, Oren Halvani
• Bert_T for Human-AI Collaborative Text Classification 4026-4032
  Weidong Wu, Wenyin Yang, Zhen Shen, Meifang Xie, Zhiliang Zhang, Miaoji Zheng, Tufeng Xian, Qiyuan Sun
• DBG: Human-AI Collaborative Text Classification with DeBERTa-enhanced Contextual and Geometric Attention 4033-4041
  Tufeng Xian, Yong Zhong, Fen Liu, Meifang Xie, Qiyuan Sun, Miaoji Zheng, Weidong Wu, Zhiliang Zhang
• Sky.Duan at TextDetox CLEF 2025/Multilingual Text Detoxification 2025: An Intelligent Approach Integrating Local Models and Large Language Models 4042-4052
  Xianbing Duan, Jiangao Peng, Kaiyin Sun, Zhongyuan Han
• Genre-Aware Contrastive Learning for AI Text Detection: A RoBERTa-Based Approach 4053-4058
  Junlong Yang, Kai Yan
• A Sentence-level AI-Generated Text Detection Approach with Fine-Tuned BERT 4059-4062
  Fuchuan Ye, Zhongyuan Han, Haojie Cao
• Team Nexus Interrogators at PAN: Voight-Kampff Generative AI Detection 4063-4072
  Samiya Ali Zaidi, Huzaifah Tariq Ahmed, Sarrah Ali Akbar, Ziaullah Shakeel, Faisal Alvi, Abdul Samad
• DBA: A Hybrid Neural Network Model for Generative Human-AI Collaborative Text Classification 4073-4079
  Zhiliang Zhang, Wenyin Yang, Weidong Wu, Meifang Xie, Miaoji Zheng, Qiyuan Sun, Tufeng Xian
• StarBERT: A Hybrid Neural Network Model for Human-AI Collaborative Text Classification 4080-4085
  Miaoji Zheng, Yong Zhong, Fen Liu, Tufeng Xian, Meifang Xie, Weidong Wu, Zhiliang Zhang, Qiyuan Sun

Quantum Computing at CLEF (QuantumCLEF)

• QuantumCLEF 2025: Overview of the Second Quantum Computing Challenge for Information Retrieval and Recommender Systems at CLEF 4086-4104
  Andrea Pasin, Maurizio Ferrari Dacrema, Washington Cunha, Marcos André Goncalves, Paolo Cremonesi, Nicola Ferro
• Team GPLSI at QClef 2025: Quantum-Inspired Instance Selection and Clustering 4105-4123
  Juan Pablo Consuegra-Ayala, Aitana Morote-Martínez, Francisco Valero-Abellón, Elena Lloret, Paloma Moreda, Manuel Palomar
• Quantum Feature Selection from Interpretable Models using a QUBO Formulation 4124-4132
  Flavio Giobergia, Claudio Savelli, Alkis Koudounas, Elena Baralis
• SINAI team at QuantumCLEF 2025: Quantum Feature Selection Based on Energy with D-Wave 4133-4140
  Lucas Molino-Piñar, Jaime Collado-Montañez, Arturo Montejo-Ráez
• Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering 4141-4157
  Chloe Pomeroy, Aleksandar Pramov, Karishma Thakrar, Lakshmi Yendapalli
• Feature Selection Using Quantum Annealing: A Mutual Information Based QUBO Approach 4158-4166
  Muhammad Talha Shaikh, Muhammad Hamza, Syed Bilal Ali, Muhammad Rafi, Sumaiyah Zahid

Simplify Scientific Text (and Nothing More) (SimpleText)

• Overview of the CLEF 2025 SimpleText Task 1: Simplify Scientific Text 4167-4185
  Jan Bakker, Benjamin Vendeville, Liana Ermakova, Jaap Kamps
• Overview of the CLEF 2025 SimpleText Task 2: Identify and Avoid Hallucination 4186-4204
  Benjamin Vendeville, Jan Bakker, Hosein Azarbonyad, Liana Ermakova, Jaap Kamps
• Sentence-level Scientific Text Simplification With Just a Pinch of Data 4205-4210
  Marvin M. Agüero-Torales, Carlos Rodríguez Abellán, Carlos A. Castaño Moraga
• DUTH at CLEF 2025 SimpleText Track: Tackling Scientific Text Simplification and Hallucination Detection 4211-4224
  Georgios Arampatzis, Avi Arampatzis
• SINAI in SimpleText CLEF 2025: Simplifying Biomedical Scientific Texts and Identifying Hallucinations Using GPT-4.1 and Pattern Detection 4225-4239
  Jaime Collado-Montañez, Jenny Alexandra Ortiz-Zambrano, César Espin-Riofrio, Arturo Montejo-Ráez
• NITK SCaLAR Lab at the CLEF 2025 SimpleText Track: Transformer-Based Models for Biomedical Sentence Simplification (Task 1.1) 4240-4254
  Arya Adwait Dongre, Ankita Vaadiraaju, Anand Kumar Madasamy
• RECAIDSTechTitans at CLEF 2025: Simplifying Scientific Text and Identifying Spurious Sentences using T5 4255-4262
  Stergio Eugin, Beulah A, Sathvikha V, Sangamithra V
• University of Avignon at the CLEF 2025 SimpleText Track: Guided Medical Abstract Simplification 4263-4275
  Ygor Gallina, Tania Jiménez, Stéphane Huet
• THM@SimpleText 2025 - Task 1.1: Revisiting Text Simplification based on Complex Terms for Non-Experts 4276-4285
  Nico Hofmann, Julian Dauenhauer, Nils Ole Dietzler, Idehen Daniel Idahor, Christin Katharina Kreutz
• A Benchmark Collection for Assessing Scholarly Search by Non-Educated Users 4286-4300
  Stéphane Huet, Eric Sanjuan
• UM_FHS at the CLEF 2025 SimpleText Track: Comparing No-Context and Fine-Tune Approaches for GPT-4.1 Models in Sentence and Document-Level Text Simplification 4301-4310
  Primoz Kocbek, Gregor Stiglic
• AIIRLab Systems for CLEF 2025 SimpleText: Cross-Encoders to Avoid Spurious Generation 4311-4323
  Nicholas Largey, Deiby Wu, Behrooz Mansouri
• Hallucination Detection and Mitigation in Scientific Text Simplification using Ensemble Approaches: DS@GT at CLEF 2025 SimpleText 4324-4337
  Krishna Chaitanya Marturi, Heba H. Elwazzan
• LLM-Guided Planning and Summary-Based Scientific Text Simplification: DS@GT at CLEF 2025 SimpleText 4338-4347
  Krishna Chaitanya Marturi, Heba H. Elwazzan
• LIS at SimpleText 2025: Enhancing Scientific Text Accessibility with LLMs and Retrieval-Augmented Generation 4348-4355
  Anya Amel Nait Djoudi, Sarah Nouali, Mohsine Aabid, Ismail Badache, Adrian-Gabriel Chifu, Patrice Bellot
• University of Amsterdam at the CLEF 2025 SimpleText Track 4356-4362
  Taiki Papandreou, Jan Bakker, Jaap Kamps
• UBOnlp Report at the SimpleText lab of CLEF 2025 4363-4375
  Benjamin Vendeville, Liana Ermakova, Pierre De Loor, Jaap Kamps
• S-3 Pipeline for Biomedical Text Simplification 4376-4387
  Ansh Vora, Tanish Chaudhari, Sanjeev Hotha, Sheetal Sonawane

Skill and Job Title Intelligence for Human Capital Management (TalentCLEF)

• Brief Overview of TalentCLEF 2025 4388-4391
  Luis Gasco, Hermenegildo Fabregat, Laura García-Sardiña, Paula Estrella, Daniel Deniz, Alvaro Rodrigo, Rabih Zbib
• Enhancing Job-Skill Matching with LLM-Driven Data Augmentation and Fine-Tuned Bi-Encoders 4392-4400
  Mohab Ali
• AlexU-NLP at TalentCLEF 2025: Curriculum-Driven Hybrid Retrieval for Multilingual Job Title Matching 4401-4410
  Rana Barakat, Omar Mokhtar, Marwan Torki, Nagwa Elmakky
• Fine-Tuned Sentence Transformer for Multilingual Job Title Matching 4411-4420
  Chinmay Satish Bhangale, Prajwal Anil Gabhane, Anand Kumar Madasamy
• Multilingual Job Title Matching with MPNet-Based Sentence Transformers 4421-4427
  Adam Brikman, Michael Sana, Holden Ruegger
• Multilingual JobBERT for Cross-Lingual Job Title Matching 4428-4437
  Jens-Joris Decorte, Matthias De Lange, Jeroen Van Hautte
• COTECMAR--UTB at TalentCLEF 2025: Linking Job Titles and ESCO Skills with Sentence Transformer Embeddings 4438-4447
  Jhonattan Llamas, Edwin Puertas, Jairo Serrano, Juan Martinez
• VerbaNex at TalenCLEF2025: Semantic Matching of Multilingual Job Titles through a Framework Integrating ESCO Taxonomy 4448-4458
  Melissa Moreno Novoa, Juan Carlos Martinez-Santos, Jairo Serrano, Edwin Puertas
• NT Team at Multilingual Job Title Matching Task A: Job Matching via Large Language Model-Based Description Generation and Retrieval 4459-4467
  Ho Thuy Nga, Ho Thi Thanh Tuyen, Dang Van Thin
• Enhancing Human Capital Management: AI Techniques for Candidate Matching and Skill Extraction 4468-4478
  Muhammad Hasan Nizami, Ahtisham Uddin, Muhammad Talha Salani, Ayesha Saeed, Faisal Alvi, Abdul Samad
• A Two-Stage Multilingual Job Title Matching System: Combining Expert Knowledge and LLM-based Ranking 4479-4493
  Mar Rodríguez, Olatz Perez-de-Viñaspre, Naiara Perez
• UDII-UPM at TalentCLEF 2025: Task A-Multilingual Job Title Matching 4494-4498
  Javier Rodríguez-Vidal, Ascensión López-Vargas, Pablo Manuel Vigara Gallego, Francisco Javier Del Álamo, Ángel García-Beltrán
• HULAT-UC3M at TalentCLEF: Artificial Intelligence and Natural Language Processing Applied to HR Management 4499-4512
  Álvaro Tejera Villar, Isabel Segura Bedmar
• pjmathematician at TalentCLEF 2025: Enhancing Job Title and Skill Matching with GISTEmbed and LLM-Augmented Data 4513-4518
  Poojan Vachharajani
• Beyond Titles: Semantic Matching of Jobs and Skills Using LLMs and S-BERT 4519-4524
  Iago X. Vázquez, Rodrigo Sedano, Silvia González, Javier Sedano
• NLPnorth @ TalentCLEF 2025: Comparing Discriminative, Contrastive, and Prompt-Based Methods for Job Title and Skill Matching 4525-4535
  Mike Zhang, Rob van der Goot

Argumentation Systems (Touché)

• Overview of Touché 2025: Argumentation Systems 4536-4562
  Johannes Kiesel, Çağri̇̀ Çöltekin, Marcel Gohsen, Sebastian Heineking, Maximilian Heinrich, Maik Fröbe, Tim Hagen, Mohammad Aliannejadi, Sharat Anand, Tomaž Erjavec, Matthias Hagen, Matyáš Kopp, Nikola Ljubešić, Katja Meden, Nailia Mirzakhmedova, Vaidas Morkevičius, Harrisen Scells, Moritz Wolter, Ines Zelch, Martin Potthast, Benno Stein
• Pirate Passau at Touché: Do We Need to Get Complex? A Comparative Analysis of Traditional and Advanced NLP Approaches for Advertisement Classification 4563-4570
  Tarek Al Bouhairi, Alaa Alhamzeh
• Hanuman at Touché: Image Generation with Argument-Aspect Fusion 4571-4579
  Sharat Anand, Maximilian Heinrich
• DEMA²IN at Touché: Salient Events Extraction for Ideology and Power Identification in Parliamentary Debates 4580-4585
  Benjamin Callac, Anne-Gwenn Bosser, Florence Dupin de Saint-Cyr, Eric Maisel
• JU-NLP at Touché: Covert Advertisement in Conversational AI-Generation and Detection Strategies 4586-4600
  Arka Dutta, Agrik Majumdar, Sombrata Biswas, Dipankar Das, Sivaji Bandyopadhyay
• CEDNAV--UTB: Efficient Image Retrieval for Arguments with CLIP 4601-4609
  Diego Alberto Guevara Amaya, Jairo Enrique Serrano Castañeda, Juan C. Martinez-Santos, Edwin Puertas
• Git Gud at Touché: Unified RAG Pipeline for Native Ad Generation and Detection 4610-4618
  Sameer Kamani, Muhammad Taqi, Muhammad Ansab Chaudhary, Muhammad Ahmad Humayun Hanif, Faisal Alvi, Abdul Samad
• TeamCMU at Touché: Adversarial Co-Evolution for Advertisement Integration and Detection in Conversational Search 4619-4634
  To Eun Kim, João Coelho, Gbemileke Onilude, Jai Singh
• Munibuc at Touché: Generalist Embeddings for Ideology and Populism Detection 4635-4640
  Marius Marogel, Silviu Gheorghe
• DS@GT at Touché: Large Language Models for Retrieval-Augmented Debate 4641-4649
  Anthony Miyaguchi, Conor Johnston, Aaryan Potdar
• Infotec+CentroGEO at Touché: MCIP, CLIP and SBERT as Retrieval Score 4650-4655
  Tania Ramirez-delreal, Daniela Moctezuma, Guillermo Ruiz, Mario Graff, Eric Tellez
• TüNLP at Touché: Finetuning Multilingual Models for Ideology Detection 4656-4661
  Aydemir Shamsutdinov, Joaquin Cherta-Rodríguez
• SINAI at Touché: From Generation to Evaluation through Multistep and Comparative Prompting for Retrieval-Augmented Debate 4662-4679
  María Estrella Vallecillo-Rodríguez, María Teresa Martín-Valdivia, Arturo Montejo-Ráez
• GIL_UNAM_Iztacala at Touché: Benchmarking Classical Models for Multilingual Political Stance and Power Classification 4680-4691
  Luis A. H. Miranda, Jesús Vázquez-Osorio, Adrián Juárez-Pérez, Gerardo Sierra, Gemma Bel-Enguix