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ORCIDCLEF 2025: Madrid, Spain - Working Notes
- Guglielmo Faggioli, Nicola Ferro, Paolo Rosso, Damiano Spina:
Working Notes of the Conference and Labs of the Evaluation Forum, CLEF 2025, Madrid, Spain, 9-12 September 2025. CEUR Workshop Proceedings 4038, CEUR-WS.org 2025
A Challenge in Large-Scale Biomedical Semantic Indexing and Question Answering (BioASQ)
- Anastasios Nentidis, Georgios Katsimpras, Anastasia Krithara, Georgios Paliouras:
Overview of BioASQ Tasks 13b and Synergy13 in CLEF2025. 1-18 - Miguel Rodríguez-Ortega, Eduard Rodriguez-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 MultiClinSum Task at BioASQ 2025: Evaluation of Clinical Case Summarization Strategies for Multiple Languages: Data, Evaluation, Resources and Results. 19-40 - Andrey Sakhovskiy, Natalia V. Loukachevitch, Elena Tutubalina:
Overview of the BioASQ BioNNE-L Task on Biomedical Nested Entity Linking in CLEF 2025. 41-50 - 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 ElCardioCC Task on Clinical Coding in Cardiology at BioASQ 2025. 51-64 - Marco Martinelli, Gianmaria Silvello, Vanessa Bonato, Giorgio Maria Di Nunzio, Nicola Ferro, Ornella Irrera, Stefano Marchesin, Laura Menotti, Federica Vezzani:
Overview of GutBrainIE@CLEF 2025: Gut-Brain Interplay Information Extraction. 65-98 - Lasse Ryge Andersen, Mikkel Hagerup Dolmer, Marius Ihlen Gardshodn, Juan Manuel Rodriguez, Daniele Dell'Aglio:
Trusting Gut Instincts: Transformer-Based Extraction of Structured Data from Gut-Brain Axis Publications. 99-119 - Johanna Angulo, Víctor Yeste:
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 - Samy Ateia, Udo Kruschwitz:
Can Language Models Critique Themselves? Investigating Self-Feedback for Retrieval Augmented Generation at BioASQ 2025. 148-164 - Federico Borazio, Andriy Shcherbakov, Danilo Croce, Roberto Basili:
UniTor at BioASQ 2025: Modular Biomedical QA with Synthetic Snippets and Multiple Task Answer Generation. 165-197 - Albina Burlova:
Navigating Partial UMLS Terminology: GAT Embeddings and Confidence Analysis for Multilingual Concept Linking. 198-205 - Bing-Chen Chih, Jen-Chieh Han, Hsi-Chuan Hung, Richard Tzong-Han Tsai:
NCU-IISR: Biomedical Question Answering via Gemini and GPT APIs in the BioASQ 13b Phase B Challenge. 206-213 - Sofia I R. Conceição, Paulo R. C. Lopes, Francisco M. Couto:
lasigeBioTM at BioASQ25 Task GutBrainIE - Lean Large Language Models with Syntactic Features. 214-225 - Aleksis Datseris, Mario Kuzmanov, Ivelina Nikolova-Koleva, Dimitar Taskov, Svetla Boytcheva:
Graphwise @ CLEF-2025 GutBrainIE: Towards Automated Discovery of Gut-Brain Interactions - Deep Learning for NER and Relation Extraction from PubMed Abstracts. 226-242 - Sara Dueñas-Romero, Luis Alfonso Ureña López, Eugenio Martínez-Cámara:
SINAI at BioASQ@CLEF 2025: A Multi-Stage RAG Pipeline for Biomedical Semantic Question Answering. 243-265 - Dima Galat, Diego Mollá Aliod:
LLM Ensemble for RAG: Role of Context Length in Zero-Shot Question Answering for BioASQ Challenge. 266-272 - Georgi Grazhdanski:
Group Relative Policy Optimization for Spanish Clinical Case Report Summarization. 273-280 - Harsh Prakash Gupta, Ritwik Banerjee:
SCIRE at BioASQ 2025: LLM Driven Biomedical Named Entity Recognition for GutBrainIE 2025. 281-291 - Jen-Chieh Han, Bing-Chen Chih, Hsi-Chuan Hung, Richard Tzong-Han Tsai:
NCU-IISR: A Retrieval-Augmented Generation Approach for BioASQ 13b Phase A and A+. 292-301 - Jinyi Han, Yeyang Liu:
GutUZH at CLEF2025 BioASQ Task 6: a Method of SOTA Performance with the Best Results at GutBrainIE NER Subtask 1. 302-316 - Bor-Woei Huang:
Clinical Entity Recognition and Linking in Greek Discharge Letters using Multilingual-LLM-Based Multi-Stage System. 317-327 - Richard A. A. Jonker, Tiago Melo Almeida, João Rafael Almeida, Sérgio Matos:
BIT.UA at BioASQ 13B: Revisiting Evaluation, DPRF-Enhanced Retrieval and Fine-Tuned LLMs. 328-342 - Benedikt Kantz, Stefan Lengauer, Peter Waldert, Tobias Schreck:
Constrained Linked Entity ANnotation using RAG (CLEANR). 343-358 - Ron Keinan, Amir David Nissan Cohen, Reut Tsarfaty:
From Named Entities to Relations: End-to-End Biomedical Information Extraction. 359-372 - Hajung Kim, Hoonick Lee, Yewon Cho, Jungwoo Park, Jueon Park, Soyon Park, Yan Ting Chok, Seungheun Baek, Donghyeon Lee, Jaewoo Kang:
Prompting Matters: Snippet-Aware Strategies for Biomedical QA with LLMs in BioASQ 13b. 373-382 - Antoine D. Lain, Chaeeun Lee, Simona E. Doneva, Maria Juliana Rodriguez-Cubillos, Elisa Castagnari, T. Ian Simpson, Joram M. Posma:
Multilingual and Nested Biomedical Named Entity Normalization via Candidate Retrieval and Lightweight Large Language Model Disambiguation. 383-392 - Chaeeun Lee, Simona E. Doneva, Maria Juliana Rodriguez-Cubillos, Elisa Castagnari, Antoine D. Lain, Joram M. Posma, T. Ian Simpson:
Understanding Gut-Brain Interplay in Scientific Literature: A Hybrid Approach from Classification to Generative LLM Reasoning. 393-410 - Chunyu Li, Xindi Zheng, Siqi Liu:
BIBERT-Pipe on Biomedical Nested Named Entity Linking at BioASQ 2025. 411-419 - Yuxuan Liu, Shanfeng Zhu:
LYX_DMIIP_FDU At BioASQ 2025: Utilizing BERT Embeddings For Biomedical Text Mining. 420-432 - Paulo R. C. Lopes, Sofia I. R. Conceição, Maria Fernandes, Francisco M. Couto:
lasigeBioTM: A Lean Biomedical QA System Empowered by Structured Knowledge. 433-451 - Lila López, Juan Carlos Martínez Santos, Edwin Puertas:
Development of a Biomedical Question Answering System Based on Transformer Models. 452-459 - Ritesh Mehta:
Enhancing Biomedical Named Entity Recognition using GLiNER-BioMed with Targeted Dictionary-Based Post-processing for BioASQ 2025 task 6. 460-472 - Lorenzo Pamio, Giorgio Maria Di Nunzio:
Comparing CRF vs BERT Models for Named Entity Recognition and Relation Extraction. 473-482 - Dimitra N. Panou, Alexandros C. Dimopoulos, Manolis Koubarakis, Martin Reczko:
Harnessing Collective Intelligence of LLMs for Robust Biomedical QA: A Multi-Model Approach. 483-496 - Daniel Peña Gnecco, Jairo Serrano, Edwin Puertas, Juan Carlos Martínez Santos:
Hybrid Re-ranking for Biomedical Entity Linking using SapBERT Embeddings: A High-Performance System for BioNNE-L 2025-1. 497-508 - Samuel Piron, Giorgio Maria Di Nunzio:
Named Entity Recognition with GLiNER and Relation Extraction with LLMs. 509-519 - Libo Ren, Yee Man Ng, Lifeng Han:
MaLei at MultiClinSUM: Summarisation of Clinical Documents using Perspective-Aware Iterative Self-Prompting with LLMs. 520-533 - Soukaina Rhazzafe, Simon Colreavy-Donnelly, Nikola S. Nikolov:
ExtraSum @ MultiClinSum: Extractive Summarization of English, Spanish, French and Portuguese Clinical Case Reports. 534-543 - Nicolay Rusnachenko, Xiaoxiao Liu, Jian Chang, Jian Jun Zhang:
Using Decoder-Based Distillation for Enhancing Multilingual Clinical Case Report Summarization. 544-553 - Md. Shahidul Salim, Lianne Fu, Arav Adikesh Ramakrishnan, Sunjae Kwon, Zonghai Yao, Hong Yu:
Enhancing Multilingual Medical Summarization via Contextual Keyword Augmentation. 554-568 - Samitinjaya, Dipankar Das:
Biomedical Semantic Question Answering - Answering Systems Using Different LLMs for Subtasks. 569-581 - Elisa Terumi Rubel Schneider, Fernando Henrique Schneider, Emerson Cabrera Paraiso, Alceu de Souza Britto Jr., Rafael Menelau Oliveira Cruz:
MedGemma-Sum-Pt: A Lightweight Model for Portuguese Clinical Summarization. 582-594 - Damian Stachura, Joanna Konieczna, Artur Nowak:
Are Smaller Open-Weight LLMs Closing the Gap to Proprietary Models for Biomedical Question Answering? 595-604 - Jie Tang, Hua Yang, Kai Xiong, Hanyang Li, Paulo Quaresma, Hongbin Yu, Wenbo Zhang, Mingzhou Song:
Applying DeepSeek to BioASQ Task 13B: Using Supervised Fine-Tuning and Few-Shot Learning. 605-616 - Scott Taylor, Charlie Dil, Aaron Shah, Jannat, Cyd Oldham, Ayush Upadhyay, Joanne Varughese, Nicole Yazbeck, Bridget T. McInnes:
NLP@VCU at BioASQ2025: Information Extraction on the GutBrainIE dataset. 617-625 - Poojan Vachharajani:
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 - Boris Velichkov, Aleksis Datseris, Sylvia Vassileva, Svetla Boytcheva:
Enigma @ ELCardioCC: Bridging NER and ICD-10 Entity Linking - A Hybrid Method for Greek Clinical Narratives. 651-665 - Shashank Verma, Fengyi Jiang, Xiangning Xue:
Beyond Retrieval: Ensembling Cross-Encoders and GPT Rerankers with LLMs for Biomedical QA. 666-680
Lab on Subjectivity, Fact-Checking, Claim Extraction & Normalization, and Retrieval (CheckThat!)
- 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 1 on Subjectivity in News Articles. 681-694 - Megha Sundriyal, Tanmoy Chakraborty, Preslav Nakov:
Overview of the CLEF-2025 CheckThat! Lab Task 2 on Claim Normalization. 695-708 - Venktesh V, Vinay Setty, Avishek Anand, Boushra Bendou, Maram Hasanain, Houda Bouamor, Gabriel Iturra-Bocaz, Petra Galuscáková, Firoj Alam:
Overview of the CLEF-2025 CheckThat! Lab Task 3 on Fact-Checking Numerical Claims. 709-721 - Salim Hafid, Yavuz Selim Kartal, Sebastian Schellhammer, Katarina Boland, Dimitar Dimitrov, Sandra Bringay, Konstantin Todorov, Stefan Dietze:
Overview of the CLEF-2025 CheckThat! Lab Task 4 on Scientific Web Discourse. 722-732 - Mohamed A. Abdallah, Rokayah M. Fekry, Samhaa R. El-Beltagy:
NGU_Research at CheckThat! 2025: An LLM Based Hybrid Fact-Checking Pipeline for Numerical Claims. 733-742 - Guido Acosta, Eduardo Morales, Helena Gómez-Adorno:
UCOM_UNAM_PLN at CheckThat! 2025: Evaluating LLMs in a two-Step Architecture for Numerical Fact Checking. 743-753 - Monir Ahmad, Abu Nowshed Chy:
CSECU-Learners at CheckThat! 2025: Multilingual Transformer-based Approach for Subjectivity Detection in News Articles Across Multilingual and Zero-shot Settings. 754-762 - Mohammad Al-Smadi:
QU-NLP at CheckThat! 2025: Multilingual Subjectivity in News Articles Detection Using Feature-Augmented Transformer Models with Sequential Cross-Lingual Fine-Tuning. 763-774 - Katarina Alexander, Md. Zia Ullah, Dimitra Gkatzia:
NapierNLP at CheckThat! 2025: Detecting Subjectivity with LLMs and Model Fusion. 775-781 - Pratuat Amatya, Vinay Setty:
Factiverse and IAI at CheckThat! 2025: Adaptive ICL for Claim Extraction. 782-794 - Anirban Saha Anik, Md Fahimul Kabir Chowdhury, Andrew Wyckoff, Sagnik Ray Choudhury:
ClaimIQ at CheckThat! 2025: Comparing Prompted and Fine-Tuned Language Models for Verifying Numerical Claims. 795-803 - Tatiana Anikina, Ivan Vykopal, Sebastian Kula, Ravi Kiran Chikkala, Natalia Skachkova, Jing Yang, Veronika Solopova, Vera Schmitt, Simon Ostermann:
dfkinit2b at CheckThat! 2025: Leveraging LLMs and Ensemble of Methods for Multilingual Claim Normalization. 804-825 - Cem Ashbaugh, Leon Baumgärtner, Tim Gress, Nikita Sidorov, Daniel Werner:
AIRwaves at CheckThat! 2025: Retrieving Scientific Sources for Implicit Claims on Social Media with Dual Encoders and Neural Re-Ranking. 826-844 - Tomás Bernal-Beltrán, Ronghao Pan, José Antonio García-Díaz, Rafael Valencia-García:
UmuTeam at CheckThat! 2025: Language-Specific versus Multilingual Models for Fact-Checking. 845-855 - Grégoire Burel, Pasquale Lisena, Enrico Daga, Raphaël Troncy, Harith Alani:
ClimateSense at CheckThat! 2025: Combining Fine-tuned Large Language Models and Conventional Machine Learning Models for Subjectivity and Scientific Web Discourse Analysis. 856-865 - Srijani Debnath, Dipankar Das:
JU_NLP at CheckThat! 2025: A Confidence-guided Transformer-based Approach for Multilingual Subjectivity Classification. 866-875 - Iván Díaz, Jessica Barco, Joana Hernández, Edgar Lee-Romero, Gemma Bel-Enguix:
cepanca_UNAM at CheckThat! 2025: A Language-driven BERT Approach for Detection of Subjectivity in News. 876-884 - Lea Duesterwald, Adi Arora, Claire Cardie:
CornellNLP at CheckThat! 2025: Hybrid LLaMA-GPT-4 Ensembles with Confidence Filtering for Numerical Claim Verification. 885-895 - Akram Elbouanani, Evan Dufraisse, Aboubacar Tuo, Adrian Popescu:
CEA-LIST at CheckThat! 2025: Evaluating LLMs as Detectors of Bias and Opinion in Text. 896-911 - Matteo Fasulo
, Luca Babboni, Luca Tedeschini:
AI Wizards at CheckThat! 2025: Enhancing Transformer-Based Embeddings with Sentiment for Subjectivity Detection in News Articles. 912-925 - Keito Fukuoka, Hisashi Miyamori:
KSU at CheckThat! 2025: Two-stage approach to fact-checking numerical claims. 926-934 - Kishan Gurumurthy, Ashish Shrivastava, Pawan Kumar Rajpoot, Prasanna Devadiga, Bharatdeep Hazarika, Manish Jain, Manan Sharma, Arya Suneesh, Anshuman B. Suresh, Aditya U. Baliga:
TIFIN at CheckThat! 2025: Cross-Lingual Subjectivity Classification in News through Monolingual, Multilingual, and Zero-Shot Learning. 935-952 - Syed Muhammad Ather Hashmi, Sidra Aamir, Muhammad Anas, Turab Usmani, Faisal Alvi, Abdul Samad:
Investigators at CheckThat! 2025: Using LLMs to Improve Fact-Checking. 953-963 - Bharatdeep Hazarika, Prasanna Devadiga, Pawan Kumar Rajpoot, Aditya U. Baliga, Kishan Gurumurthy, Manish Jain, Manan Sharma, Ashish Shrivastava, Arya Suneesh, Anshuman B. Suresh:
TIFIN at CheckThat! 2025: X-VERIFY - Multi-lingual NLI-based Fact Checking with Condensed Evidence. 964-976 - Maximilian Heil, Dionne Bang:
DS@GT at CheckThat! 2025: Detecting Subjectivity via Transfer-Learning and Corrective Data Augmentation. 977-987 - Maximilian Heil, Aleksandar Pramov:
DS@GT at CheckThat! 2025: Evaluating Context and Tokenization Strategies for Numerical Fact Verification. 988-996 - Rahul Jambulkar, Aditya Aditya, Sukomal Pal:
Arcturus at CheckThat! 2025: DeBERTa-v3-base for Multilingual Subjectivity Detection in News Articles. 997-1008 - Quy Thanh Le, Ismail Badache, Aznam Yacoub, Maâmar El-Amine Hamri:
LIS at CheckThat! 2025: Multi-Stage Open-Source Large Language Models for Fact-Checking Numerical Claims. 1009-1023 - 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:
AKCIT-FN at CheckThat! 2025: Switching Fine-Tuned SLMs and LLM Prompting for Multilingual Claim Normalization. 1024-1038 - Arpan Majumdar, Dipankar Das, Pritam Pal:
JU_NLP at CheckThat! 2025: Leveraging Hybrid Embeddings for Multi-Label Classification in Scientific Social Media Discourse. 1039-1044 - Guilherme A. Marchetti, Gil Rocha, Henrique Lopes Cardoso:
Team SeRRa at CheckThat! CLEF 2025: Sequential Re-Ranking in a Scientific Claim Source Retrieval Pipeline. 1045-1055 - Selina Meyer, Michael Roth:
nlu@utn at CheckThat! 2025: Combining Bias Sensitivity, Linguistic Features, and Persuasion Cues in an Ensemble for Subjectivity Detection. 1056-1070 - Malobika Mondal, Soumodeep Saha, Dipanjan Saha, Dipankar Das:
JU_NLP@M&S at CheckThat! 2025: Automated Claim Extraction and Normalization for Misinformation Detection in Social Media Content. 1071-1083 - Ayush Parikh, Hoang Thanh Thanh Truong, Jeanette Schofield, Maximilian Heil:
DS@GT at CheckThat! 2025: Ensemble Methods for Detection of Scientific Discourse on Social Media. 1084-1095 - Aleksandar Pramov, Jiangqin Ma, Bina Patel:
DS@GT at CheckThat! 2025: A Simple Retrieval-First, LLM-Backed Framework for Claim Normalization. 1096-1106 - Md. Abdur Rahman, Md Al Amin, Md Sabbir Dewan, Md Jahid Hasan, Md Ashiqur Rahman:
SmolLab_SEU at CheckThat! 2025: How Well Do Multilingual Transformers Transfer Across News Domains for Cross-lingual Subjectivity Detection? 1107-1120 - André Runewicz, Paul Moritz Ranly, Inna Vogel, Martin Steinebach:
Fraunhofer SIT at CheckThat! 2025: Multi-Instance Evidence Pooling for Numerical Claim Verification. 1121-1130 - Mariam Saeed, Mazen Yasser, Marwan Torki, Nagwa M. El-Makky:
MMA at CheckThat! 2025: Multilingual Claim Normalization of Social-Media Posts. 1131-1140 - Pascal Sager, Ashwini Kamaraj, Benjamin F. Grewe, Thilo Stadelmann:
Deep Retrieval at CheckThat! 2025: Identifying Scientific Papers from Implicit Social Media Mentions via Hybrid Retrieval and Re-Ranking. 1141-1155 - Ariana Sahitaj, Jiaao Li, Pia Wenzel Neves, Fedor Splitt, Premtim Sahitaj, Charlott Jakob, Veronika Solopova, Vera Schmitt:
XplaiNLP at CheckThat! 2025: Multilingual Subjectivity Detection with Finetuned Transformers and Prompt-Based Inference with Large Language Models. 1156-1166 - Tarik Saraç, Selin Mergen, Mucahid Kutlu:
TurQUaz at CheckThat! 2025: Debating Large Language Models for Scientific Web Discourse Detection. 1167-1182 - Marcin Sawinski, Krzysztof Wecel, Ewelina Ksiezniak:
OpenFact at CheckThat! 2025: Application of Self-Reflecting and Reasoning LLMs for Fact-Checking Claim Normalization. 1183-1192 - Jeanette Schofield, Shuyu Tian, Hoang Thanh Thanh Truong, Maximilian Heil:
DS@GT at CheckThat! 2025: Exploring Retrieval and Reranking Pipelines for Scientific Claim Source Retrieval on Social Media Discourse. 1193-1202 - Tobias Schreieder, Michael Färber:
Claim2Source at CheckThat! 2025: Zero-Shot Style Transfer for Scientific Claim-Source Retrieval. 1203-1216 - Manan Sharma, Arya Suneesh, Manish Jain, Pawan Kumar Rajpoot, Prasanna Devadiga, Bharatdeep Hazarika, Ashish Shrivastava, Kishan Gurumurthy, Anshuman B. Suresh, Aditya U. Baliga:
TIFIN at CheckThat! 2025: Reasoning-Guided Claim Normalization for Noisy Multilingual Social Media Posts. 1217-1227 - Md. Tanvir Ahammed Shawon, Fariha Haq, Md. Ayon Mia, Golam Sarwar Md. Mursalin, Muhammad Ibrahim Khan:
CUET_KCRL at CheckThat!2025: EnsembleNet with RoBERTa-Large for Subjectivity detection in News Articles. 1228-1236 - Mervin Jesus Sosa Borrero, Jairo Enrique Serrano Castañeda, Juan Carlos Martínez Santos, Edwin Alexander Puertas Del Castillo:
VerbaNexAI Lab at CheckThat! 2025: Fine-Tuning DeBERTa for Multi-Label Scientific Discourse Detection in Tweets. 1237-1245 - Moritz Staudinger, Alaa El-Ebshihy, Wojciech Kusa, Florina Piroi, Allan Hanbury:
ATOM at CheckThat! 2025: Retrieve the Implicit - Scientific Evidence Retrieval. 1246-1255 - Parth Manish Thapliyal, Ritesh Sunil Chavan, Samridh Samridh, Chaoyuan Zuo, Ritwik Banerjee:
SCIRE at CheckThat! 2025: Bridging Social Media, Scientific Discourse, and Scientific Literature. 1256-1264 - Mariuxi del Carmen Toapanta-Bernabé, Miguel Angel García Cumbreras, Luis Alfonso Ureña López, Denisse Desiree Mora-Intriago, Carla Tatiana Bernal-García:
SINAI-UGPLN at CheckThat! 2025: Meta-Ensemble Strategies for Numerical Claim Verification in English. 1265-1275 - Karthik V, R. Padmashri, V. Srikumar, Durairaj Thenmozhi:
CheckMates At CheckThat! 2025: Transformer-Based Models For Subjectivity Classification. 1276-1283 - Baddepudi Venkata Naga Sri Sai Vineetha:
Saivineetha at CheckThat! 2025: Exploring Fine-Tuning and Zero-Shot Approaches for Claim Normalization. 1284-1289 - Joe Wilder, Nikhil Kadapala, Benji Xu, Mohammed Alsaadi, Aiden Parsons, Mitchell Rogers, Palash Agrawal, Adam Hassick, Laura Dietz:
UNH at CheckThat! 2025: Fine-tuning Vs Prompting in Claim Extraction. 1290-1305
Evaluation of Generative Language Model Quality (ELOQUENT)
- Jussi Karlgren, Marie Isabel Engels, Maria Barrett, Rohit Raj Gunti, Mohanna Hoveyda, Bruno N. Sotic, Jaap Kamps, Mika Koistinen, Elaine Zosa:
Overview of Robustness and Consistency Task of the ELOQUENT 2025 Lab for Evaluating Generative Language Model Quality. 1306-1319 - Vladislav Mikhailov, Ekaterina Artemova, Zoia Butenko, Lilja Øvrelid, Erik Velldal:
Overview of the Preference Prediction Task at the ELOQUENT 2025 Lab for Evaluating Generative Language Model Quality. 1320-1329 - Pavel Sindelár, Ondrej Bojar:
Overview of the Sensemaking Task at the ELOQUENT 2025 lab: LLMs as Teachers, Students and Evaluators. 1330-1359 - Danileth Almanza-Gonzalez, Jairo E. Serrano, Juan Carlos Martinez-Santos, Edwin Puertas:
Prediction of Human Preferences and Explanation Generation with LLM: An Approach Based on RAG, Few-Shot Learning, and Auto-CoT. 1360-1369 - Filip F. Andresen, Håkon L. Hyrve, Sander S. Løvaas:
Predicting Human Preferences using a Multi-head BERT Classifier. 1370-1380 - Aldan Creo, Maximiliano Hormazábal-Lagos, Héctor Cerezo-Costas, Pedro Alonso Doval:
Fake It 'Til You Make It Human. 1381-1390 - Rohit Raj Gunti:
The Distinctive Data-Centric Approach for the Voight Kampff Task. 1391-1400 - Rohit Raj Gunti, Abebe Rorissa:
Evaluating the Performance of the Finetuned Quantized Llama 3 Based on Relevance, Truthfulness, Naturalness, and Safety. 1401-1407 - Kateryna Lutsai, Matyás Thér, Jonás Venc, Ondrej Bojar:
ELOQUENT Sensemaking Task: LLMs in the Evaluator Role. 1408-1413 - Soumodeep Saha, Ronit Das, Dipankar Das:
JUNLP_SS at Eloquent Lab 2025: Humanizing AI - Enhancing the Realism of Machine-Generated Text. 1414-1426 - Anna Sajdoková, Matej Macek, Ondrej Hlava, Marek Stefanec, Antonín Kríz, Jakub Kucera, Ondrej Bojar:
Team LLMinds Submission for ELOQUENT Sensemaking Task. 1427-1434 - Bruno N. Sotic, Jaap Kamps:
University of Amsterdam at the CLEF 2025 Eloquent Track. 1435-1442 - Poojan Vachharajani:
Literal Re-translation as a Method for AI Text Disguise and Detection Evasion. 1443-1448
Early Risk Prediction on the Internet (eRISK)
- Javier Parapar, Anxo Pérez, Xi Wang, Fabio Crestani:
Overview of eRisk 2025: Early Risk Prediction on the Internet (Extended Overview). 1449-1473 - Diogo A. P. Nunes, Eugénio Ribeiro:
INESC-ID @ eRisk 2025: Exploring Fine-Tuned, Similarity-Based, and Prompt-Based Approaches to Depression Symptom Identification. 1474-1485 - Subinay Adhikary, Junsume Das, Dwaipayan Roy:
THINKIR at eRisk 2025: Early Detection and Risk Assessment of Depression using Transformer Models. 1486-1495 - Aisha Benloucif, Yashasvini Nannapuraju, Sripriya Bellam, Yuyan Hu, Zhe Zhao, V. G. Vinod Vydiswaran:
LHS712Team-1 at eRisk@ CLEF 2025: Searching for Depression Symptoms Using Various Natural Language Processing Algorithms. 1496-1501 - Javier Campos-Molina, Paloma Martinez:
HULAT-UC3M at Task1@eRisk 2025: Detecting Depression Using Machine Learning Approaches. 1502-1512 - Andreu Casamayor, Vicent Ahuir, Antonio Molina, Lluís-Felip Hurtado:
ELiRF-UPV at eRisk 2025: New approaches to the Detection and Early Detection of Symptoms and Signs of Depression. 1513-1527 - Elif Kara, Rosa Esther Martín-Peña, Lisa Raithel:
FU-TU-DFKI@eRisk 2025: A Linguistically Informed but Overdiagnosing Approach to Early Depression Detection. 1528-1541 - Xabier Larrayoz, Arantza Casillas, Alicia Pérez:
Leveraging Conversational Context and Semantic Relabeling for Early Depression Detection. 1542-1549 - Tu-Phuong Mai, Minh-Ha H. Le, Duc-Luong Tran, Duy-Cat Can, Hoang-Quynh Le:
UET@eRisk2025: Severity Estimation for Depression Symptoms Searching and Early Risk Detection. 1550-1561 - Luis Mendoza, Joan Suarez, Edwin Puertas, Juan Martinez, Jairo Serrano:
COTECMAR-UTB at eRisk 2025: Semantic-Centroid Symptom Ranking and Early Depression Detection using Adaptive Decision Rule. 1562-1582 - Nguyen Minh Son, Dang Van Thin:
SonUIT eRisk2025: Enhanced Depression Detection on Social Media via Filtering and Re-Ranking. 1583-1589 - Anthony Miyaguchi, David Guecha, Yuwen Chiu, Sidharth Gaur:
DS@GT at eRisk 2025: From Prompts to Predictions, Benchmarking Early Depression Detection with Conversational Agent-Based Assessments and Temporal Attention Models. 1590-1610 - Noam Munz, Eliya Naomi Aharon, Avi Segal, Kobi Gal:
Semantic Retrieval of BDI Symptoms in User Writings. 1611-1619 - Alba María Mármol-Romero, Manuel García Vega, Miguel Ángel García Cumbreras, Arturo Montejo-Ráez:
SINAI at eRisk@CLEF 2025: Transformer-Based and Conversational Strategies for Depression Detection. 1620-1635 - Muhammad Saad, Asad Ullah Chaudhry, Meesum Abbas, Faisal Alvi, Abdul Samad:
Contextualized Early Detection of Depression - Hybrid and Time-Aware Approaches: HU at eRisk Task 2 2025. 1636-1645 - Poojan Vachharajani:
Transformer Ensembles and LLM-Powered Approaches for Depression Symptom Analysis and Contextualized Early Risk Detection. 1646-1662 - Ane Varela, Maite Oronoz, Arantza Casillas, Alicia Pérez:
Detection of Depression with Symptom Similarity: Data Reduction and LLM Personas. 1663-1679 - Yuzhe Zi, Bichen Wang, Yanyan Zhao, Bing Qin:
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
sEXism Identification in Social neTworks (EXIST)
- Laura Plaza, Jorge Carrillo de Albornoz, Iván Árcos, Paolo Rosso, Damiano Spina, Enrique Amigó, Julio Gonzalo, Roser Morante:
Overview of EXIST 2025: Learning with Disagreement for Sexism Identification and Characterization in Tweets, Memes, and TikTok Videos (Extended Overview). 1690-1735 - Syeda Rija Hasan Abidi, Muhammad Shoaib Khursheed, Sarah Faisal Sikandar, Sabahat Zahra, Faisal Alvi, Abdul Samad:
Sexism Identification in Tweets Using Ensembles & Augmentation: A Multilingual Approach. 1736-1751 - Anwar Alajmi, Gabriele Pergola:
Leveraging Model Confidence and Diversity: A Multi-Stage Framework for Sexism Detection. 1752-1760 - Tania Alcántara, Omar García-Vázquez, Hiram Calvo, José E. Valdez Rodríguez:
CogniCIC at EXIST 2025: Identifying Sexist Content in Text and Visual Media using Transformers and Generative AI Models. 1761-1776 - Moiz Ali, Lakshmi Yendapalli, Bishoy Tawfik, Matt Winzenried:
Tackling Sexism in Multimodal Social Media: Exploring Hybrid Generative-Transformer models. 1777-1792 - Georgios Arampatzis, Vasileios Perifanis, Symeon Symeonidis, Avi Arampatzis:
DUTH at EXIST 2025: Multilingual Sexism Detection with Soft Labels and Transformers. 1793-1800 - Iván Árcos:
ArcosGPT at EXIST 2025: Identifying Sexism in Memes with Multimodal Deep Learning: Fusing Text and Visual Cues. 1801-1808 - Ghada Ben Amor, Nawres Medimagh, Sawsen Ben Chaabene, Omar Trigui:
ANLP-Uniso at Exist! 2025 : Sexism Identification and Characterization in Tweets. 1809-1827 - Ariana Britez, Ilia Markov:
CLTL at EXIST 2025: Identifying Sexist Memes Using an Ensemble of Shallow and Transformer Models. 1828-1839 - Donejie Chen, Haoliang Qi:
Beyond Binary: 7-Class Sexism Identification via ModernBERT and SCL. 1840-1847 - Qizhang Chen, Leilei Kong, Yanfu Chen, Changxin Sun:
Modeling Annotator Subjectivity for Sexism Detection on Social Media. 1848-1857 - Tim Chopard, Darren Rawlings:
Generalizable BERT-Based Cross-Media Sexism Classification. 1858-1865 - Christina Christodoulou:
NLPDame at EXIST: Sexism Categorization in Tweets via Multi-Head Multi-Task Models, LLM & RAG Voting Synergy. 1866-1886 - Eurídice Corbí Verdú, Marc Franco-Salvador:
ECORBI-UPV at EXIST 2025: Large Language Models and Embedding Strategies for Sexism Detection in Tweets. 1887-1896 - Maria-Diana Cotelin, Ciprian-Octavian Truica, Elena Simona Apostol:
NetGuardAI at EXIST2025: Sexism Detection using mDeBERTa. 1897-1905 - Leire Dominguez-Sol Sastre, Isabel Segura-Bedmar:
Sexism Identification in Social Networks using LLMs. 1906-1946 - David Fernández-García, Enrique Amigó Cabrera, Valentín Cardeñoso-Payo:
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 - Fabio Fritzsche, Jenny Felser, Michael Spranger:
COMFOR at EXIST 2025: Support Vector Machines vs. Large Language Models in Sexism Detection. 1959-1977 - Manuel Guerrero-García, Fernando Carrillo-García, Jacinto Mata Vázquez, Victoria Pachón Álvarez:
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 - Marc Hurtado, Aleixandre Tarrasó:
Dandys-de-BERTganim at EXSIST 2025: a Multi-task Learning Architecture for Sexism Identification. 1994-2003 - Ahmed Ibrahim, Rui Pedro Lopes:
Sexism Detection in Multilingual Tweets. 2004-2011 - Paolo Italiani, Fariha Maqbool, David Gimeno-Gómez, Elisabetta Fersini, Carlos D. Martínez-Hinarejos:
TrankilTwice at EXIST2025: Detecting Sexism in Memes under Multi-Lingual Settings. 2012-2022 - Deobrat Kumar Jha, Mitesh Kumar Mandal, Anand Kumar Madasamy:
Sexism Identification using Annotator Ranking in Memes: A Multimodal Approach Using Transformers. 2023-2035 - Sahrish Khan, Arshad Jhumka, Gabriele Pergola:
Multilingual Sexism Detection through Domain Adaptation and Label-Augmented Translation. 2036-2045 - Roberto Labadie Tamayo, Adrian Jaques Böck, Djordje Slijepcevic, Xihui Chen, Andreas Babic, Matthias Zeppelzauer:
FHSTP@EXIST 2025 Benchmark: Sexism Detection with Transparent Speech Concept Bottleneck Models. 2046-2057 - Nathan Nowakowski, Lorenzo Calogiuri, Elöd Egyed-Zsigmond, Diana Nurbakova, Johan Erbani, Sylvie Calabretto:
GrootWatch at EXIST 2025: Automatic Sexism Detection on Social Networks - Classification of Tweets and Memes. 2058-2083 - Ronghao Pan, Tomás Bernal-Beltrán, José Antonio García-Díaz, Rafael Valencia-García:
UMUTeam at EXIST 2025: Multimodal Transformer Architectures and Soft-Label Learning for Sexism Detection. 2084-2099 - Pol Pastells, Mauro Vázquez Chas, Mireia Farrús, Mariona Taulé:
CLiC at EXIST 2025: Combining Fine-tuning and Prompting with Learning with Disagreement for Sexism Detection. 2100-2111 - Alexandru Petrescu, Elena Simona Apostol, Ciprian-Octavian Truica:
Awakened at EXIST2025: Adaptive Mixture of Transformers. 2112-2118 - Joy Chrissetyo Prajogo, Lung-Hao Lee, Hsien-I Lin:
NYCU-NLP at EXIST 2025: An Empirical Study of Annotator-Aware Two-Stage Pipeline for Sexism Detection in Tweets. 2119-2132 - Beatriz Ruiz:
Comparative Analysis of Transformer-Based Models for Sexism Detection in Text. 2133-2143 - Lin Tian, Johanne R. Trippas, Marian-Andrei Rizoiu:
Mario at EXIST 2025: A Simple Gateway to Effective Multilingual Sexism Detection. 2144-2156 - Kapioma Villarreal Haro, Fernando Sánchez-Vega, Adrián Pastor López-Monroy:
Knowledge Expansion Guided by Justification for Improved Sexism Categorization. 2157-2164 - Kapioma Villarreal Haro, Judith Tavarez-Rodríguez, Guillermo Segura-Gómez, Alejandro Rosales-Pérez, Fernando Sánchez-Vega, Adrián Pastor López-Monroy:
Leveraging Reasoning of Auto-Revealed Insights via Knowledge Injection and Evolutionary Prompting for Sexism Analysis. 2165-2181
Multimodal Challenge in CLEF (ImageCLEF)
- Alexandra-Georgiana Andrei, Mihai Gabriel Constantin, Mihai Dogariu, Ahmedkhan Radzhabov, Liviu-Daniel Stefan, Yuri Prokopchuk, Vassili Kovalev, Henning Müller, Bogdan Ionescu:
Overview of the ImageCLEFMedical 2025 GANs Task: Training Data Analysis and Fingerprint Detection. 2182-2196 - Hendrik Damm, Tabea Margareta Grace Pakull, Helmut Becker, Benjamin Bracke, Bahadir Eryilmaz, Louise Bloch, Raphael Brüngel, Cynthia S. Schmidt, Johannes Rückert, Obioma Pelka, Henning Schäfer, Ahmad Idrissi-Yaghir, Asma Ben Abacha, Alba Garcia Seco de Herrera, Henning Müller, Christoph M. Friedrich:
Overview of ImageCLEFmedical 2025 - Medical Concept Detection and Interpretable Caption Generation. 2197-2223 - Sushant Gautam, Vajira Thambawita, Michael Riegler, Pål Halvorsen, Steven Hicks:
Overview of ImageCLEFmedical 2025 - Visual Question Answering and Synthetic Image Generation for Gastrointestinal Tract. 2224-2232 - Wen-Wai Yim, Asma Ben Abacha, Noel Codella, Roberto A. Novoa, Josep Malvehy:
Overview of the MEDIQA-MAGIC Task at ImageCLEF 2025: Multimodal And Generative TelemedICine in Dermatology. 2233-2240 - Cécile Macaire, Diandra Fabre, Benjamin Lecouteux, Didier Schwab:
Overview of the 2025 ImageCLEFtoPicto Task - Investigating the Generation of Pictogram Sequences from Text and Speech. 2241-2248 - Dimitar Dimitrov, Ming Shan Hee, Zhuohan Xie, Rocktim Jyoti Das, Momina Ahsan, Sarfraz Ahmad, Nikolay Paev, Ivan Koychev, Preslav Nakov:
Overview of ImageCLEF 2025 - Multimodal Reasoning. 2249-2263 - Omar Adjali:
Towards Better Gastrointestinal Diagnosis: Evaluating Vision-Language Models For GI VQA. 2264-2274 - Seif Ahmed, Mohamed T. Younes, Abdelrahman Moustafa, Abdulrahman Allam, Hamza Moustafa:
MSA at ImageCLEF 2025 Multimodal Reasoning: Multilingual Multimodal Reasoning With Ensemble Vision-Language Models. 2275-2283 - Ayesha Amjad, Fatima Seemab, Saima Kausar, Seemab Latif, Mehwish Fatima:
Ayeshaamjad at ImageCLEF 2025 Multimodal Reasoning: Visual Question Answering with Structured Data Extraction and Robust Reasoning. 2284-2300 - Alexandra-Georgiana Andrei, Mihai Gabriel Constantin, Mihai Dogariu, Liviu-Daniel Stefan, Bogdan Ionescu:
AI Multimedia Lab at ImageCLEFmedical GANs 2025: Identifying Real-Image Usage in Generated Medical Images. 2301-2310 - Johanna Angulo, Jenny Paula Aguilar Guiñez:
JJ-VMed: A Framework for Automated Concepts, Captions and Explainability of Medical Image. 2311-2332 - Farhaan Areeb, Divyansh Vashist, Lekshmi Kalinathan:
Controlling the Quality of Synthetic Medical Images Created via GANs. 2333-2340 - Khushi Bahadur Desai, Varunkumar S. Hiregoudar, Ishan G. Kulkarni, Ratan Dhane, Padmashree Desai, Sujatha C, Uma Mudenagudi, Ramesh Ashok Tabib:
The Kasukabe Defense Group at MEDIQA-MAGIC 2025: Clinical Visual Question Answering with Resource-Efficient Multi-modal Learning. 2341-2349 - Mitra Barve, Nikita Bhedasgaonkar, Isha Shah, Sara Nambiar, Atharva Date, Geetanjali Kale:
Reverse Engineering Generative Fingerprints in Medical Images: A Deep Learning Approach to Training Data Attribution. 2350-2359 - Gia-Phuc Bui-Hoang, My-Huyen Dinh-Doan, Van-Minh Luong, Thien B. Nguyen-Tat:
UIT-Oggy at ImageCLEFmedical 2025 Caption: CSRA-Enhanced Concept Detection and BLIP-Driven Vision-Language Captioning. 2360-2372 - Shruti Chandrasekar, Vedajanaani R. S, Vijayalakshmi P:
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 - Anna Chatzipapadopoulou, Ippokratis Pantelidis, Foivos Charalampakos, Marina Samprovalaki, Georgios Moschovis, Panagiotis Kaliosis, Kalliopi V. Dalakleidi, John Pavlopoulos, Ion Androutsopoulos:
AUEB NLP Group at ImageCLEFmedical Caption 2025. 2391-2414 - Raisa Nusrat Chowdhury, Mahmudul Hoque, Md. Rakibul Hasan, Ojonugwa Oluwafemi Ejiga Peter, Md Mahmudur Rahman:
Modality-Guided Radiology Caption Prediction with small Vision-Language Models and image classifier. 2415-2425 - Shengjun Deng, Guo Niu, Xiongfei Yao, Huanlin Mo, Tao Li, Shuaiwei Jiao:
Bridging the Modality Gap Through CoT-Enhanced Multimodal Reasoning. 2426-2431 - Sujata Gaihre, Amir Thapa Magar, Prasuna Pokharel, Laxmi Tiwari:
Multimodal AI for Gastrointestinal Diagnostics: Tackling VQA in MEDVQA-GI 2025. 2432-2441 - Amilcare Gentili:
Identifying the Origins of Synthetic Biomedical Images: An Ensemble Approach with Pseudo-Labeling. 2442-2447 - Jiawei He, Sohrab Ferdowsi, Weibo Feng, Fernando Alves, Alexandra Platon, Douglas Teodoro:
DS4DH Group at ImageCLEFmedical Caption 2025. 2448-2460 - Maja J. Hjuler, Indira Fabre:
Parlez-vous Picto? A Transformer-Based Approach for Text-to-Picto and Speech-to-Picto Translation in French. 2461-2475 - Baijian Huang, Changle Zhong, Kai Yan:
Team plutohbj at ImageCLEF 2025 Multimodal Reasoning: Meta-learning LoRa fine-tuning for MultimodalReasoning. 2476-2485 - Vasilena T. Krazheva, Diana Markova, Dimitar Dimitrov, Ivan Koychev, Preslav Nakov:
ContextDrift at ImageCLEF 2025 Multimodal Reasoning: Evaluating VLMs' Multimodal, Multilingual and Multidomain Reasoning Capabilities via Thinking Budget Variations and Textual Augmentation. 2486-2499 - Tung Thanh Le, Tri Minh Ngo, Khoi Dinh Nguyen, Trung Hieu Dang, Trong Hoang Pham, Thien B. Nguyen-Tat:
Anastasia at MEDIQA-MAGIC 2025: A Multi-Approach Segmentation Framework with Extensive Augmentation. 2500-2510 - Yunseo Lee, Hyun Jun Kim, Heeseung Shin, Changwon Lim:
AI Stat Lab: A Modular Framework for Clinically Accurate Medical Image Captioning Using Vision-Language Models. 2511-2523 - Bhagyashree Mallanaikar, Shradha Kekare, Padmashree Desai, Sujata C, Uma Mudenagudi, Ramesh Ashok Tabib, Anjali Savalkar, Aishwarya S. H:
Multimodal Learning for Skin Lesion Segmentation and Closed Visual Question Answering. 2524-2531 - Huanlin Mo, Guo Niu, Shengjun Deng, Xiongfei Yao, Tao Li, Shuaiwei Jiao:
Multimodal Reasoning in Multilingual Visual Question Answering: A Prompt-Tuned Qwen2.5-vl-plus Approach. 2532-2538 - Ojonugwa Oluwafemi Ejiga Peter, Mahmudul Hoque, Ejiga Frederick Akor, Raisa Nusrat Chowdhury, Abdullahi Umar, Md Mahmudur Rahman:
Solving Medical Data Limitations Through AI: Multi-Modal Vision-Language Learning for Gastrointestinal VQA and Synthetic Training Data Generation. 2539-2552 - Ronghao Pan, Tomás Bernal-Beltrán, José Antonio García-Díaz, Rafael Valencia-García:
UMUTeam at ImageCLEF 2025: Fine-Tuning a Vision-Language Model for Medical Image Captioning and SapBERT-Based Reranking for Concept Detection. 2553-2563 - Gaurav Parajuli:
Querying GI Endoscopy Images: A VQA Approach. 2564-2570 - Nguyen Pham Hoang Le, Hoang Pham Duc Huy, Hien Thai Dinh Nhat, Hoang Thach Minh, Thien B. Nguyen-Tat:
DermoSegDiff and DermKEM for Comprehensive Dermatology AI. 2571-2588 - Aryan Sahni, Rachit Gupta, Raamigaani Venugopal Reddy, Lekshmi Kalinathan:
Evaluating Deep CNNs for Multi-Label Concept Detection in ROCOv2 Radiology Image Dataset by Team LekshmiscopeVIT. 2589-2595 - Amir Hossein Salimi Rudsari, Bahareh Kavousi Nejad, Malihe Hajihosseini, Sauleh Eetemadi:
Detecting Concepts for Medical Images: Contributions of the DeepLens Team at IUST to ImageCLEFmedical Caption 2025. 2596-2608 - Krithikha Sanju Saravanan, Mohanavalli Subramaniam, R. B. Anirudh Narayanan, Bharath P, Karunanidhi Ayyamperumal:
Detecting Training Data Usage in Synthetic Images Using Machine Learning Techniques. 2609-2618 - Tarun Srikumar, Sathish Kesavan, Abinayaa Morekonda Balan, Derrick Samuel, Maneesh Ram Kalugasala Moorthy, Gobi Elangovan, Vinayak Kumar Singh, Lekshmi Kalinathan:
Leveraging Qwen2.5-VL-72B-Instruct for Visual Question Answering: A Study on the EXAMS-V Benchmark in ImageCLEF 2025. 2619-2624 - Krishna Tewari, Sukomal Pal:
Advancing Vision and Language in GI Diagnosis: Florence2 for Question Answering and Stable Diffusion for Image Synthesis. 2625-2639 - Krishna Tewari, Abhyudaya Verma, Sukomal Pal:
IReL, IIT(BHU) at MEDIQA-MAGIC 2025: Tackling Multimodal Dermatology with CLIPSeg-Based Segmentation and BERT-Swin Question Answering. 2640-2650 - Karishma Thakrar, Shreyas Basavatia, Akshay Daftardar:
Cultivating Multimodal Intelligence: Interpretive Reasoning and Agentic RAG Approaches to Dermatological Diagnosis. 2651-2680 - Sakthi Mukesh Thanga Mariappan, Beulah Arul, Muthulakshmi Ramasamy:
ImageCLEF-Medical 2025: MedCLIP Model for Medical Caption Prediction and Concept Detection. 2681-2689 - Elena Tosheva, Dimitar Dimitrov, Ivan Koychev, Preslav Nakov:
Zero-Shot Reasoning with BLIP and SmolLM. 2690-2694 - Qida Wu, Leilei Kong, Jianzhong Yan, Junyi Li:
A Multimodal Feature Alignment Prompt-Enhanced Method for Multimodal Reasoning. 2695-2703 - Jianzhong Yan, Leilei Kong, Qida Wu, Junyi Li:
Multi-Prompt Ensemble Reasoning for MultimodalReasoning. 2704-2711 - Xiongfei Yao, Guo Niu, Tao Li, Huanlin Mo, Shengjun Deng, Shuaiwei Jiao:
Enhancing Multilingual VQA with Structured Prompts and Vision-Language Alignment. 2712-2717 - Dengtao Zhang, Xutao Yang:
Evaluation of the Privacy of Images Generated by ImageCLEFmedical GANs 2025 Based on Pre-trained Model Feature Extraction Methods. 2718-2727 - Yijiang Zhou, Haiyan Ding:
ViT-based Generative Model Fingerprinting. 2728-2735 - Haojie Zuo, Xiaobing Zhou:
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
Humour in the Machine (JOKER)
- Liana Ermakova, Ricardo Campos, Anne-Gwenn Bosser, Tristan Miller:
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, Tristan Miller, Yaël Naud, Anne-Gwenn Bosser, Ricardo Campos:
Overview of the CLEF 2025 JOKER Task 3: Onomastic Wordplay Translation. 2780-2790 - Georgios Arampatzis, Avi Arampatzis:
DUTH at CLEF JOKER 2025 Tasks 2 and 3: Translating Puns and Proper Names with Neural Approaches. 2791-2802 - Tanish Chaudhari, Ashni A. Vora, Sanjeev Hotha, Sheetal Sonawane:
PICT at CLEF 2025 JOKER Track: Humour-Aware Information Retrieval using BERT-Enhanced Ensemble Methods. 2803-2812 - Bo Chen, Changle Zhong, Leilei Kong:
CLEF 2025 JOKER Track Enhancing Humor-Aware Information Retrieval with Relevance-Aware Classification. 2813-2820 - Alecsandru Kreefft-Libiu, Finley Helms, Cem Selçuk, Jan Bakker, Jaap Kamps:
University of Amsterdam at the CLEF 2025 JOKER Track. 2821-2828 - Igor Kuzmin:
CLEF 2025 JOKER Track: No Pun Left Behind. 2829-2837 - Duván-Andrés Marrugo-Tobón, Jeison D. Jimenez, Jairo E. Serrano, Juan Carlos Martínez Santos, Edwin Puertas:
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 - Sarath Kumar P, Beulah A, Sushmitha M, Thanalaxmi S:
REC_Cryptix at JOKER CLEF 2025: Teaching Machines to Laugh: Multilingual Humor Detection and Translation. 2849-2859 - Maria Paz Ramirez Atencio, Jeison D. Jimenez, Deyson Gómez Sánchez, Jairo E. Serrano, Juan Carlos Martínez Santos, Edwin Puertas:
VerbaNexAI at CLEF 2025 JOKER Task 3: Multi-Model LLM Approach for Onomastic Wordplay Translation. 2860-2869 - Russell Taylor, Benajmin Herbert, Michael Sana:
Pun Intended: Multi-Agent Translation of Wordplay with Contrastive Learning and Phonetic-Semantic Embeddings for CLEF JOKER 2025 Task 2. 2870-2888 - Poojan Vachharajani:
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
Challenges on Species Presence Prediction and Identification, and Individual Animal Identification (LifeCLEF)
- Lukás Adam, Kostas Papafitsoros, Roman Kovár, Vojtech Cermák, Lukás Picek:
Overview of AnimalCLEF 2025: Recognizing Individual Animals in Images. 2898-2908 - Juan Sebastián Cañas, Stefan Kahl, Tom Denton, Maria Paula Toro-Gómez, Susana Rodríguez-Buritica, Jose Luis Benavides-Lopez, Juan Sebastian Ulloa, Paula Caycedo-Rosales, Holger Klinck, Hervé Goëau, Willem-Pier Vellinga, Robert Planqué, Alexis Joly:
Overview of BirdCLEF+ 2025: Multi-Taxonomic Sound Identification in the Middle Magdalena, Colombia. 2909-2919 - Klára Janousková, Jirí Matas, Lukás Picek:
Overview of FungiCLEF 2025: Few-Shot Classification With Rare Fungi Species. 2920-2931 - Lukás Picek, César Leblanc, Théo Larcher, Maximilien Servajean, Pierre Bonnet, Alexis Joly:
Overview of GeoLifeCLEF 2025: Plant Species Presence Prediction with Environmental and High-resolution Remote Sensing Data. 2932-2941 - Giulio Martellucci, Hervé Goëau, Pierre Bonnet, Fabrice Vinatier, Alexis Joly:
Overview of PlantCLEF 2025: Multi-Species Plant Identification in Vegetation Quadrat Images. 2942-2954 - Fernando Carrillo García, Victoria Pachón Álvarez, Jacinto Mata Vázquez, Manuel Guerrero-García:
I2C-UHU-PEGASUS at FungiCLEF 2025: Multimodal Pipeline for Rare Fungal Species Classification Using Fine-Tuned VLMs and Ecological Context. 2955-2968 - Tim Chopard, Darren Rawlings:
Enhancing Presence-Absence Prediction Models Using Presence-Only Data. 2969-2978 - Vincent Espitalier:
Preprocessing Is All You Need: TheHeartOfNoise Submission to PlantCLEF 2025. 2979-3000 - Jack N. Etheredge:
Few-Shot Fungi Classification with Prototypical Networks Using Multiple Pretrained Embedding Models. 3001-3010 - Sergei Fedorchenko, Sergei Arefiev:
Gradient Boosting Similarity in Entity Matching. 3011-3018 - Luciano Araujo Dourado Filho, Almir Moreira da Silva Neto, Rodrigo Pereira David, Rodrigo Tripodi Calumby:
Zero-Shot Segmentation through Prototype-Guidance for Multi-Label Plant Species Identification. 3019-3028 - Murilo Gustineli, Anthony Miyaguchi, Adrian Cheung, Divyansh Khattak:
Tile-Based ViT Inference with Visual-Cluster Priors for Zero-Shot Multi-Species Plant Identification. 3029-3038 - Hanna Herasimchyk, Robin Labryga, Tomislav Prusina:
Multi-Label Plant Species Prediction with Metadata-Enhanced Multi-Head Vision Transformers. 3039-3049 - Hamza Ahmed Ishrat, Sue Han Lee, Yang Loong Chang, Kok Chin Chai:
Post-Hoc Aggregation as a Competitive Alternative to Model-Centric Pipelines: NEUON Submission to PlantCLEF 2025. 3050-3068 - Dongyeon Kim, Bohee Park, Hanjun Bae, Sua Lee, Chaeyeon Lee:
Fusion of Global and Local Descriptors with Feature Calibration for Multi-Species Animal Re-Identification: AnimalCLEF 2025. 3069-3079 - Haixu Liu, Yufei Wang, Tianxiang Xu, Chuancheng Shi, Hongsheng Xing:
Tighnari v2: Mitigating Label Noise and Distribution Shift in Multimodal Plant Distribution Prediction via Mixture of Experts and Weakly Supervised Learning. 3080-3093 - Lianping Lu, Heng Yang, Shuo Li, Fang Liu, Puhua Chen, Wenping Ma:
Few-Shot Classification of Fungi Species Using Contrastive Representation Learning and Multimodal Fusion. 3094-3101 - Andrea Menco-Tovar, Jairo E. Serrano, Juan Carlos Martínez Santos, Edwin Puertas:
Tiles-wise Inference with Vision Transformers for Multispecies Identification in Vegetation Images. 3102-3110 - Anthony Miyaguchi, Murilo Gustineli, Adrian Cheung:
Distilling Spectrograms into Tokens: Fast and Lightweight Bioacoustic Classification for BirdCLEF+ 2025. 3111-3127 - Anthony Miyaguchi, Chandrasekaran Maruthaiyannan, Charles R. Clark:
DS@GT AnimalCLEF: Triplet Learning over ViT Manifolds with Nearest Neighbor Classification for Animal Re-identification. 3128-3138 - Roman Pakhomov, Grigory Demidov, Kristian Bogdan, Svyatoslav Lanskikh, Danis Dinmuhametov, Andrey Khlopotnykh:
Individual Wildlife Recognition via Hybrid Global-Local Matching and Segmentation-Aware Filtering. 3139-3146 - Jayasree R, P. Mirunalini, Kawvya M. K, Harini J:
Shadow Spark at PlantCLEF 2025 : Multi-Label Plant Species Classification using Tiling-based Inference. 3147-3153 - Nelly Semenova:
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 - Shreejith Suthraye Gokulnath, Chandrima Das, Arya Gaikwad, Keerthana Senthilnathan, Shruti Sawant:
One Detector per Bird: A Scalable Binary Classification Approach for BirdCLEF 2025. 3179-3198 - Aman R. Syayfetdinov:
Predicting Plant Species Distribution with a Multimodal Swin Transformer Network: A GeoLifeCLEF 2025 Report. 3199-3207 - Volodymyr Sydorskyi, Fernando Gonçalves:
Tackling Domain Shift in Bird Audio Classification via Transfer Learning and Semi-Supervised Distillation: A Case Study on BirdCLEF+ 2025. 3208-3228 - Jason Kahei Tam, Murilo Gustineli, Anthony Miyaguchi:
Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification. 3229-3241 - Jingyin Tan, Aiguo Wang:
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 - Jesús Tejón Carrillo, David Prieto Araujo, Victoria Pachón Álvarez, Jacinto Mata Vázquez:
I2C-UHU-PERSEUS at PlantClef 2025: Multi-Label Identification and Classification of Plant Species in Images Using Object Detection Techniques. 3254-3262 - Gleb Tikhonov, Dmitry A. Tikhonov:
Synthesizing Joint and Deep Species Distribution Modeling to Enhance Spatial Prediction of Plant Communities at Continental Scale. 3263-3274 - Abdarahmane Traoré, Éric Hervet, Andy Couturier:
Improving Fungi Prototype Representations for Few-Shot Classification. 3275-3286 - Tuan-Anh Yang, Minh-Quang Nguyen:
Mushroom for Improvement: Prototypical Few-Shot Learning with Multimodal Fungal Features. 3287-3295
Longitudinal Evaluation of Model Performance (LongEval)
- Matteo Cancellieri, Alaa El-Ebshihy, Tobias Fink, Maik Fröbe, Petra Galuscáková, Gabriela González Sáez, Lorraine Goeuriot, David Iommi, Jüri Keller, Petr Knoth, Philippe Mulhem, Florina Piroi, David Pride, Philipp Schaer:
Extended Abstract of LongEval at CLEF 2025: Longitudinal Evaluation of IR Systems on Web and Scientific Data. 3296-3299 - Mukhtar Abenov, Leonardo Pontello, Francesca Zaccarin, Shen Zhang, Nicola Ferro:
DataHunter at LongEval: Temporal Stability Analysis of Boolean and CamemBERT-Based Retrieval Systems. 3300-3315 - Daria Alexander, Maik Fröbe, Gijs Hendriksen, Matthias Hagen, Djoerd Hiemstra, Martin Potthast, Arjen P. de Vries:
Team OpenWebSearch at LongEval: Using Historical Data for Scientific Search. 3316-3326 - Giorgia Amato, Nicolas Brentel, Alessio Demo, Steven Laghetto, Francesco Pivotto, Iegor Toporov, Nicola Ferro:
Team RAND at LongEval: Composable Information Retrieval with Semantic and Language-Aware Components. 3327-3344 - Alberto Bottari, Lorenzo Croce, Fatemeh Mahvari Habib Abadi, Nicola Ferro:
SEUPD@CLEF: Team BASETTE at LongEval: IR System for Basic Hardware. 3345-3373 - 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:
CIR at LongEval 2025: Exploring Temporal Sensitivity in Web Retrieval. 3374-3382 - Andrea Bruttomesso, Daniele Cavazza, Alessandro Corrò, Simone Peraro, Davide Seghetto, Nicola Ferro:
Team 3DS2A at LongEval: Performance Evaluation over Time of IR Systems with Proximity Search and Reranking Components. 3383-3411 - Damiano Caon, Riccardo Dal Maschio, Alessandro Disarò, Sofia Maule, Nicola Ferro:
SARD at LongEval: On Longitudinal Evaluation of IR Systems by Using Query Rewriting and Hybrid Queries. 3412-3432 - Davide Furlan, Giulia Gibellato, Seyedeh Sara Nazirialhashem, Emanuele Pase, Alberto Pasqualetto, Filippo Tiberio, Nicola Ferro:
SEUPD@CLEF Team RISE at LongEval: Improving Search by Crafting Titles and Matching URLs. 3433-3453 - Giovanni Gaio, Filippo Mazzarotto, Matteo Meneghin, Enrico Saro, Francesco Visonà, 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 - Anthony Miyaguchi, Imran Afrulbasha, Aleksandar Pramov:
DS@GT at LongEval: Evaluating Temporal Performance in Web Search Systems and Topics with Two-Stage Retrieval. 3475-3487 - Arthur Muanza Ndiema, Jüri Keller, Philipp Schaer:
CIR_cluster at LongEval 2025: Clustering Query Variants for Temporal Generalization. 3488-3494 - Jan Stryszewski, Wiktor Prosowicz, Tomasz Kawiak, Adrian Jaskowiec:
AGH IR at LongEval: Improving Scientific Information Retrieval with Dense Representations and Cross-Encoder Re-ranking. 3495-3503
Stylometry and Digital Text Forensics (PAN)
- 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 "Voight-Kampff" Generative AI Authorship Verification Task at PAN and ELOQUENT 2025. 3504-3534 - 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 Multilingual Text Detoxification Task at PAN 2025. 3535-3567 - Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein:
Overview of the Multi-Author Writing Style Analysis Task at PAN 2025. 3568-3574 - André Greiner-Petter, Maik Fröbe, Jan Philip Wahle, Terry Ruas, Bela Gipp, Akiko Aizawa, Martin Potthast:
Overview of the Plagiarism Detection Task at PAN 2025. 3575-3585 - Abeer Saad Alsheddi, Mohamed El Bachir Menai:
Team KSU at PAN 2025: Multi-Author Writing Style Analysis in English Texts Based on Graph Convolutional Networks. 3586-3596 - Advik Raj Basani, Pin-Yu Chen:
DivEye at PAN 2025: Diversity Boosts AI-Generated Text Detection. 3597-3608 - Ioana-Roxana Boriceanu, Andra-Elena Baltoiu:
Style Change Detection Using Graph and Structural Linguistic Features for Multi-Author Writing Analysis. 3609-3616 - Sara Bourbour Hosseinbeigi, Ali Mehrani:
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, Amin Saeidi Kelishami, Maryam Gheysari, Fatemeh Rahimzadeh:
MetaDetox at TextDetox CLEF 2025: Detoxification with Few-Chain Prompting. 3625-3633 - Deniz Bölöni-Turgut, Dhriti Verma, Claire Cardie:
Team cornell-1 at PAN: Ensembling Fine-Tuned Transformer Models for Writing Style Analysis. 3634-3640 - Donejie Chen, Jijie Li, Haoliang Qi:
Llama-3 with 4-bit Quantization and IA3 Tuning for Multi-Author Writing Style Analysis. 3641-3647 - Trung Duc Anh Dang, Ferdinando Pio D'Elia:
GemDetox at TextDetox CLEF 2025: Enhancing a Massively Multilingual Model for Text Detoxification on Low-resource Languages. 3648-3663 - Humaira Farid, Zainab Ahmad, Ahmad Mahmood, Iqra Ameer:
HF_Detox at TextDetox CLEF 2025: Prompt-Driven Multilingual Detoxification. 3664-3671 - Deyson Gómez Sánchez, Jeison D. Jimenez, María Paz Ramírez, Jairo E. Serrano, Juan Carlos Martínez Santos, Edwin Puertas:
RoBERT-IA: Human-AI Collaborative Text Classification. 3672-3680 - Jiancheng Huang, Haojie Cao, Xiaocan Lin, Zhongyuan Han:
Application and Analysis of Roberta-base Model Fine Tuning Based on Data Enhancement in AI Text Detection. 3681-3688 - Daria Ignatenko, Konstantin Zaitsev, Olga Shkriaba:
ReText.Ai Team at PAN 2025: Applying a Multiple Classification Heads to a Transformer Model for Human-AI Collaborative Text Classification. 3689-3697 - Maria Jimeno-Gonzalez, Eugenio Martínez-Cámara, Noelia Fernandez, Pedro Díaz-García, Luis Alfonso Ureña López:
Team SINAI-INTA at PAN 2025: Uncovering Machine Generated Text with Linguistic Features. 3698-3706 - Vladislav Kozlovskiy, Sameer Tantry, Alexander Ploskin, Tatyana Matveeva, Sofya Savelyeva:
SVATS at PAN 2025 TextDetox: Can Small Models Outperform Large Ones in Text Detoxification? 3707-3726 - Ewelina Ksiezniak, Krzysztof Wecel, Marcin Sawinski:
OpenFact at PAN 2025: Punctuation-Guided Pretraining for Sentence-Level Style Change Detection. 3727-3733 - Ritesh Kumar, Arya Trivedi, Ojaswa Varshney:
Voight-Kampff AI Detection Sensitivity. 3734-3739 - Nicole Lai-Lopez, Lusha Wang, Su Yuan, Lisa Zhang:
ylmmcl at Multilingual Text Detoxification 2025: Lexicon-Guided Detoxification and Classifier-Gated Rewriting. 3740-3755 - Joseph Larson:
Generative AI detection using simple Feature Selection and SVM. 3756-3762 - Bohan Li, Haoliang Qi, Kai Yan:
Team Bohan Li at PAN: DeBERTa-v3 with R-Drop Regularization for Human-AI Collaborative Text Classification. 3763-3769 - Tao Li, Guo Niu:
Fine-Grained Human-AI Collaborative Text Classification Using DeBERTa. 3770-3774 - Zhankeng Liang, Kaiyin Sun, Haojie Cao, Jieren Luo, Zhongyuan Han:
Text Author Classification: A ModernBERT Approach with Gradient Loss Function. 3775-3780 - Kaichuan Lin, Chang Liu, Fuchuan Ye, Zhongyuan Han:
SCL-DeBERTa: Multi-Author Writing Style Change Detection Enhanced by Supervised Contrastive Learning. 3781-3787 - Xiaocan Lin, Chang Liu, Xianbing Duan, Zhongyuan Han:
Team wqd at Style Change Detection in Multi-Author Writing: A Deep Learning Approach Based on DeBERTa. 3788-3792 - Junlang Liu, Leilei Kong, Zhenyu Peng, Feifan Chen:
Generative AI Authorship Verification Based on Contrastive-Enhanced Dual-Model Decision System. 3793-3802 - Xiaohui Liu, Yusheng Yi, Zhaotian Chen, Simin Xu, Zijun Ke, Xin Guo, Yubo Huang, Wenxuan Zhang, Jiayi Chen, Yong Han:
TextDetox CLEF 2025/Multilingual Text Detoxification 2025 Jiaozipi: A Multilingual Text Detoxification Method Based on Large Language Model-Based Ensemble Learning. 3803-3812 - Jieren Luo, Mancheng Huang, Biao Liu, Zhongyuan Han:
Team jr at Generative Plagiarism Detection 2025: A Two-Stage Approach: From TF-IDF/Jaccard Filtering to Transformer Classification. 3813-3818 - Dominik Macko:
mdok of KInIT: Robustly Fine-tuned LLM for Binary and Multiclass AI-Generated Text Detection. 3819-3826 - Teodor-George Marchitan, Claudiu Creanga, Liviu P. Dinu:
Unibuc - NLP at "Voight-Kampff" Generative AI Detection PAN 2025. 3827-3841 - Philipp Meier, Katarina Boland, Laura Kallmeyer, Stefan Dietze:
Team HHU - An Ensemble-Based Approach to Multi-Author Writing Style Analysis Combining Experts for Different Difficulty Levels. 3842-3849 - Derui Mo, Huaiyu Zhang, Xiaojun Zhang, Leilei Kong:
Using Semantic Similarity and Overlap Ratio Optimized for Generated Plagiarism Detection. 3850-3857 - Siva Gopala Krishna Nuthakki, Sai Teja Lekkala, Atul Mishra:
Team Detox at PAN: Multilingual Text Detoxification using LLM. 3858-3864 - Jeremi K. Ochab, Mateusz Matias, Tymoteusz Boba, Tomasz Walkowiak:
StylOch at PAN: Gradient-boosted trees with frequency-based stylometric features. 3865-3874 - Benjamin Ostrower, Poonam Dongare, Mahitha Thekkinkattuvalappil Unnikrishnan:
Binoculars, BART, and Adversaries: Multi-Faceted AI Text Detection for PAN 2025. 3875-3883 - Jiangao Peng, Kaiyin Sun, Kaichuan Lin, Zhankeng Liang, Zhongyuan Han:
Team cake at TextDetox CLEF 2025/Multilingual Text Detoxification 2025: A Multilingual Text Detoxification Method Based on Chain-of-Thoughts Prompting Approach. 3884-3888 - Shushanta Pudasaini, Luis Miralles-Pechuán, David Lillis, Marisa Llorens-Salvador:
Enhancing AI Text Detection with Frozen Pretrained Encoders and Ensemble Learning. 3889-3897 - Harjas Rohra, Nirbhay Shah, Sheetal Sonawane:
Sentence-Level Style Change Detection with RoBERTa for Multi-Author Writing Style Analysis. 3898-3903 - Sai Teja Lekkala, Annepaka Yadagiri, Partha Pakray:
Team CNLP-NITS-PP at PAN: Advancing Generative AI Detection: Mixture of Experts with Transformer Models. 3904-3915 - Gleb Schmidt, Johannes Römisch, Mariia Halchynska, Svetlana Gorovaia, Ivan P. Yamshchikov:
Team "better_call_claude": Style Change Detection using a Sequential Sentence Pair Classifier. 3916-3928 - Maximilian Seeliger, Patrick Styll, Moritz Staudinger, Allan Hanbury:
Human or Not? Light-Weight and Interpretable Detection of AI-Generated Text. 3929-3941 - Pratham Shah, Vatsal Shah, Sunil Kale:
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 - Zongbao Su, Yong Han, Yihao Jia, Leilei Kong:
Hierarchical Generative Plagiarism Detection Method. 3953-3959 - Qiyuan Sun, Li Ma, Wenyin Yang, Tufeng Xian, Meifang Xie, Weidong Wu, Zhiliang Zhang, Miaoji Zheng:
DeBERTa-FPN: Fusion Feature Pyramid Network for Human-AI Collaborative Text Classification. 3960-3965 - Yitao Sun, Svetlana Afanaseva, Kevin Stowe, Kailash Patil:
Bi-Directional Cross-Entropy Loss and Stylometric Feature Combined Classifier. 3966-3971 - JiaCheng Tang, Qingbiao Hu, Zhongyuan Han:
Efficient Plagiarism Detection via Sentence Embeddings and FAISS-based Retrieval. 3972-3976 - Sophie Titze, Oren Halvani:
LOG-AID: Logit-Based Statistical Features for AI Text Detection. 3977-3984 - Andrei Totok, Artemiy Ermolaev, Anastasia Izyumova, Evgeniy Finogeev:
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 - Alexandr Voronin, Daniil Moskovsky, Nikita Sushko:
nikita.sushko at TextDetox CLEF 2025: Exploring A Sage-T5-like Approach For Text Detoxification. 3995-4006 - Anastasia Voznyuk, German Gritsai, Andrey V. Grabovoy:
Team Advacheck at PAN: Multitasking Does All the Magic. 4007-4014 - Felix Völpel, Oren Halvani:
Adept: AI-Generated Text Detection Based on Phrasal Category N-Grams. 4015-4025 - Weidong Wu, Wenyin Yang, Zhen Shen, Meifang Xie, Zhiliang Zhang, Miaoji Zheng, Tufeng Xian, Qiyuan Sun:
Bert_T for Human-AI Collaborative Text Classification. 4026-4032 - Tufeng Xian, Yong Zhong, Fen Liu, Meifang Xie, Qiyuan Sun, Miaoji Zheng, Weidong Wu, Zhiliang Zhang:
DBG: Human-AI Collaborative Text Classification with DeBERTa-enhanced Contextual and Geometric Attention. 4033-4041 - Xianbing Duan, Jiangao Peng, Kaiyin Sun, Zhongyuan Han:
Sky.Duan at TextDetox CLEF 2025/Multilingual Text Detoxification 2025: An Intelligent Approach Integrating Local Models and Large Language Models. 4042-4052 - Junlong Yang, Kai Yan:
Genre-Aware Contrastive Learning for AI Text Detection: A RoBERTa-Based Approach. 4053-4058 - Fuchuan Ye, Zhongyuan Han, Haojie Cao:
A Sentence-level AI-Generated Text Detection Approach with Fine-Tuned BERT. 4059-4062 - Samiya Ali Zaidi, Huzaifah Tariq Ahmed, Sarrah Ali Akbar, Ziaullah Shakeel, Faisal Alvi, Abdul Samad:
Team Nexus Interrogators at PAN: Voight-Kampff Generative AI Detection. 4063-4072 - Zhiliang Zhang, Wenyin Yang, Weidong Wu, Meifang Xie, Miaoji Zheng, Qiyuan Sun, Tufeng Xian:
DBA: A Hybrid Neural Network Model for Generative Human-AI Collaborative Text Classification. 4073-4079 - Miaoji Zheng, Yong Zhong, Fen Liu, Tufeng Xian, Meifang Xie, Weidong Wu, Zhiliang Zhang, Qiyuan Sun:
StarBERT: A Hybrid Neural Network Model for Human-AI Collaborative Text Classification. 4080-4085
Quantum Computing at CLEF (QuantumCLEF)
- Andrea Pasin, Maurizio Ferrari Dacrema, Washington Cunha, Marcos André Gonçalves, Paolo Cremonesi, Nicola Ferro:
QuantumCLEF 2025: Overview of the Second Quantum Computing Challenge for Information Retrieval and Recommender Systems at CLEF. 4086-4104 - Juan Pablo Consuegra-Ayala, Aitana Morote Martínez, Francisco Valero-Abellón, Elena Lloret, Paloma Moreda, Manuel Palomar:
Team GPLSI at QClef 2025: Quantum-Inspired Instance Selection and Clustering. 4105-4123 - Flavio Giobergia, Claudio Savelli, Alkis Koudounas, Elena Baralis:
Quantum Feature Selection from Interpretable Models using a QUBO Formulation. 4124-4132 - Lucas Molino-Piñar, Jaime Collado-Montañez, Arturo Montejo-Ráez:
SINAI team at QuantumCLEF 2025: Quantum Feature Selection Based on Energy with D-Wave. 4133-4140 - Chloe Pomeroy, Aleksandar Pramov, Karishma Thakrar, Lakshmi Yendapalli:
Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering. 4141-4157 - Muhammad Talha Shaikh, Muhammad Hamza, Syed Bilal Ali, Muhammad Rafi, Sumaiyah Zahid:
Feature Selection Using Quantum Annealing: A Mutual Information Based QUBO Approach. 4158-4166
Simplify Scientific Text (and Nothing More) (SimpleText)
- Jan Bakker, Benjamin Vendeville, Liana Ermakova, Jaap Kamps:
Overview of the CLEF 2025 SimpleText Task 1: Simplify Scientific Text. 4167-4185 - Benjamin Vendeville, Jan Bakker, Hosein Azarbonyad, Liana Ermakova, Jaap Kamps:
Overview of the CLEF 2025 SimpleText Task 2: Identify and Avoid Hallucination. 4186-4204 - Marvin M. Agüero-Torales, Carlos Rodríguez Abellán, Carlos A. Castaño Moraga:
Sentence-level Scientific Text Simplification With Just a Pinch of Data. 4205-4210 - Georgios Arampatzis, Avi Arampatzis:
DUTH at CLEF 2025 SimpleText Track: Tackling Scientific Text Simplification and Hallucination Detection. 4211-4224 - Jaime Collado-Montañez, Jenny Alexandra Ortiz Zambrano, César Espin-Riofrio, Arturo Montejo-Ráez:
SINAI in SimpleText CLEF 2025: Simplifying Biomedical Scientific Texts and Identifying Hallucinations Using GPT-4.1 and Pattern Detection. 4225-4239 - Arya Adwait Dongre, Ankita Vaadiraaju, Anand Kumar Madasamy:
NITK SCaLAR Lab at the CLEF 2025 SimpleText Track: Transformer-Based Models for Biomedical Sentence Simplification (Task 1.1). 4240-4254 - Stergio Eugin, Beulah A, Sathvikha V, Sangamithra V:
RECAIDSTechTitans at CLEF 2025: Simplifying Scientific Text and Identifying Spurious Sentences using T5. 4255-4262 - Ygor Gallina, Tania Jiménez, Stéphane Huet:
University of Avignon at the CLEF 2025 SimpleText Track: Guided Medical Abstract Simplification. 4263-4275 - Nico Hofmann, Julian Dauenhauer, Nils Ole Dietzler, Idehen Daniel Idahor, Christin Katharina Kreutz:
THM@SimpleText 2025 - Task 1.1: Revisiting Text Simplification based on Complex Terms for Non-Experts. 4276-4285 - Stéphane Huet, Eric SanJuan:
A Benchmark Collection for Assessing Scholarly Search by Non-Educated Users. 4286-4300 - Primoz Kocbek, Gregor Stiglic:
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 - Nicholas Largey, Deiby Wu, Behrooz Mansouri:
AIIRLab Systems for CLEF 2025 SimpleText: Cross-Encoders to Avoid Spurious Generation. 4311-4323 - Krishna Chaitanya Marturi, Heba H. Elwazzan:
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 - Anya Amel Nait Djoudi, Sarah Nouali, Mohsine Aabid, Ismail Badache, Adrian-Gabriel Chifu, Patrice Bellot:
LIS at SimpleText 2025: Enhancing Scientific Text Accessibility with LLMs and Retrieval-Augmented Generation. 4348-4355 - Taiki Papandreou, Jan Bakker, Jaap Kamps:
University of Amsterdam at the CLEF 2025 SimpleText Track. 4356-4362 - Benjamin Vendeville, Liana Ermakova, Pierre De Loor, Jaap Kamps:
UBOnlp Report at the SimpleText lab of CLEF 2025. 4363-4375 - Ansh Vora, Tanish Chaudhari, Sanjeev Hotha, Sheetal Sonawane:
S-3 Pipeline for Biomedical Text Simplification. 4376-4387
Skill and Job Title Intelligence for Human Capital Management (TalentCLEF)
- Luis Gascó, Hermenegildo Fabregat, Laura García-Sardiña, Paula Estrella, Daniel Deniz, Álvaro Rodrigo, Rabih Zbib:
Brief Overview of TalentCLEF 2025. 4388-4391 - Mohab Ali:
Enhancing Job-Skill Matching with LLM-Driven Data Augmentation and Fine-Tuned Bi-Encoders. 4392-4400 - Rana Barakat, Omar Mokhtar, Marwan Torki, Nagwa M. El-Makky:
AlexU-NLP at TalentCLEF 2025: Curriculum-Driven Hybrid Retrieval for Multilingual Job Title Matching. 4401-4410 - Chinmay Satish Bhangale, Prajwal Anil Gabhane, Anand Kumar Madasamy:
Fine-Tuned Sentence Transformer for Multilingual Job Title Matching. 4411-4420 - Adam Brikman, Michael Sana, Holden Ruegger:
Multilingual Job Title Matching with MPNet-Based Sentence Transformers. 4421-4427 - Jens-Joris Decorte, Matthias De Lange, Jeroen Van Hautte:
Multilingual JobBERT for Cross-Lingual Job Title Matching. 4428-4437 - Jhonattan Llamas, Edwin Puertas, Jairo Serrano, Juan Martinez:
COTECMAR-UTB at TalentCLEF 2025: Linking Job Titles and ESCO Skills with Sentence Transformer Embeddings. 4438-4447 - Melissa Moreno Novoa, Juan Carlos Martínez Santos, Jairo Serrano, Edwin Puertas:
VerbaNex at TalenCLEF2025: Semantic Matching of Multilingual Job Titles through a Framework Integrating ESCO Taxonomy. 4448-4458 - Ho Thuy Nga, Ho Thi Thanh Tuyen, Dang Van Thin:
NT Team at Multilingual Job Title Matching Task A: Job Matching via Large Language Model-Based Description Generation and Retrieval. 4459-4467 - Muhammad Hasan Nizami, Ahtisham Uddin, Muhammad Talha Salani, Ayesha Saeed, Faisal Alvi, Abdul Samad:
Enhancing Human Capital Management: AI Techniques for Candidate Matching and Skill Extraction. 4468-4478 - Mar Rodríguez, Olatz Perez-de-Viñaspre, Naiara Pérez:
A Two-Stage Multilingual Job Title Matching System: Combining Expert Knowledge and LLM-based Ranking. 4479-4493 - Javier Rodríguez-Vidal, Ascensión López-Vargas, Pablo Manuel Vigara Gallego, Francisco Javier del Álamo, Ángel García-Beltrán:
UDII-UPM at TalentCLEF 2025: Task A-Multilingual Job Title Matching. 4494-4498 - Álvaro Tejera Villar, Isabel Segura-Bedmar:
HULAT-UC3M at TalentCLEF: Artificial Intelligence and Natural Language Processing Applied to HR Management. 4499-4512 - Poojan Vachharajani:
pjmathematician at TalentCLEF 2025: Enhancing Job Title and Skill Matching with GISTEmbed and LLM-Augmented Data. 4513-4518 - Iago Xabier Vázquez, Rodrigo Sedano, Silvia González, Javier Sedano:
Beyond Titles: Semantic Matching of Jobs and Skills Using LLMs and S-BERT. 4519-4524 - Mike Zhang, Rob van der Goot:
NLPnorth @ TalentCLEF 2025: Comparing Discriminative, Contrastive, and Prompt-Based Methods for Job Title and Skill Matching. 4525-4535
Argumentation Systems (Touché)
- Johannes Kiesel, Çagri Çöltekin, Marcel Gohsen, Sebastian Heineking, Maximilian Heinrich, Maik Fröbe, Tim Hagen, Mohammad Aliannejadi, Sharat Anand, Tomaz Erjavec, Matthias Hagen, Matyás Kopp, Nikola Ljubesic, Katja Meden, Nailia Mirzakhmedova, Vaidas Morkevicius, Harrisen Scells, Moritz Wolter, Ines Zelch, Martin Potthast, Benno Stein:
Overview of Touché 2025: Argumentation Systems. 4536-4562 - Tarek Al Bouhairi, Alaa Alhamzeh:
Pirate Passau at Touché: Do We Need to Get Complex? A Comparative Analysis of Traditional and Advanced NLP Approaches for Advertisement Classification. 4563-4570 - Sharat Anand, Maximilian Heinrich:
Hanuman at Touché: Image Generation with Argument-Aspect Fusion. 4571-4579 - Benjamin Callac, Anne-Gwenn Bosser, Florence Dupin de Saint-Cyr, Eric Maisel:
DEMA²IN at Touché: Salient Events Extraction for Ideology and Power Identification in Parliamentary Debates. 4580-4585 - Arka Dutta, Agrik Majumdar, Sombrata Biswas, Dipankar Das, Sivaji Bandyopadhyay:
JU-NLP at Touché: Covert Advertisement in Conversational AI-Generation and Detection Strategies. 4586-4600 - Diego Alberto Guevara Amaya, Jairo Enrique Serrano Castañeda, Juan Carlos Martínez Santos, Edwin Puertas:
CEDNAV-UTB: Efficient Image Retrieval for Arguments with CLIP. 4601-4609 - Sameer Kamani, Muhammad Taqi, Muhammad Ansab Chaudhary, Muhammad Ahmad Humayun Hanif, Faisal Alvi, Abdul Samad:
Git Gud at Touché: Unified RAG Pipeline for Native Ad Generation and Detection. 4610-4618 - To Eun Kim, João Coelho, Gbemileke Onilude, Jai Singh:
TeamCMU at Touché: Adversarial Co-Evolution for Advertisement Integration and Detection in Conversational Search. 4619-4634 - Marius Marogel, Silviu Florin Gheorghe:
Munibuc at Touché: Generalist Embeddings for Ideology and Populism Detection. 4635-4640 - Anthony Miyaguchi, Conor Johnston, Aaryan Potdar:
DS@GT at Touché: Large Language Models for Retrieval-Augmented Debate. 4641-4649 - Tania A. Ramirez-delReal, Daniela Moctezuma, Guillermo Ruiz, Mario Graff, Eric Sadit Tellez:
Infotec+CentroGEO at Touché: MCIP, CLIP and SBERT as Retrieval Score. 4650-4655 - Aydemir Shamsutdinov, Joaquin Cherta-Rodríguez:
TüNLP at Touché: Finetuning Multilingual Models for Ideology Detection. 4656-4661 - María Estrella Vallecillo Rodríguez, María Teresa Martín-Valdivia, Arturo Montejo-Ráez:
SINAI at Touché: From Generation to Evaluation through Multistep and Comparative Prompting for Retrieval-Augmented Debate. 4662-4679 - Antonio Miranda-Escalada, Jesús Vázquez-Osorio, Adrián Juárez-Pérez, Gerardo Sierra, Gemma Bel-Enguix:
GIL_UNAM_Iztacala at Touché: Benchmarking Classical Models for Multilingual Political Stance and Power Classification. 4680-4691
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