TREC 2025 Proceedings

Adhoc Video Search

[CERTH-ITI] MLLM Frame Subset Ensembling for Audio-Visual Video QA and MLLM-based Reranking for Ad-hoc Video Search in TRECVID 2025: Andreas Goulas
Damianos Galanopoulos
Ioannis Patras
Vasileios Mezaris
[coordinators] TREC 2025 Ad-hoc Video Search (AVS) Track: George Awad (NIST)
[AFRL] AFRL at TREC 2025: Zero-Shot Human-Free Video Search with Caption Expansion: Andrew Young (Wright State University)
Emily Conway (Air Force Research Laboratory)
Jeremy Gwinnup (Air Force Research Laboratory)
[ncsu-las] Laboratory for Analytic Sciences in TREC 2025 Ad-hoc Video Search: Edward Sheriff (Department of Defense, USA)
John Nolan (North Carolina State University)
Yue Wang (University of North Carolina at Chapel Hill)
Xi Niu (University of North Carolina at Charlotte)
[ccilab] Doshisha University at TREC 2025 AVS Task: Dai Morisaki (Doshisha University)
Miho Ohsaki (Doshisha University)
Kimiaki Shirahama (Doshisha University)
[WHU-NERCMS] WHU-NERCMS AT TRECVID2025: AD-HOC VEDIO SEARCH(AVS) AND VIDEO QUESTION ANSWER(VQA) TASK: Fangyun Duan, Haixiang Ni, XiusongWang, Chao Liang
[NII_UIT] Exploiting Temporal and Semantic Diversity: A Multi-Stage Retrieval–Reranking Pipeline for AVS 2025: Thuyen Tran Doan, University of Information Technology, Vietnam and Vietnam National University
Bao Tran, University of Information Technology, Vietnam and Vietnam National University
Tien Do, University of Information Technology, Vietnam and Vietnam National University
Tien-Dung Mai, University of Information Technology, Vietnam and Vietnam National University
Thanh Duc Ngo, University of Information Technology, Vietnam and Vietnam National University
Duy-Dinh Le, University of Information Technology, Vietnam and Vietnam National University
Shin’ichi Satoh, National Institute of Informatics, Japan
[meisei] VLM-based Binary Judgment Re-ranking for TREC 2025 Ad-hoc Video Search: Kazuya Ueki (Meisei University)

Biomedical Generative Retrieval

[CLaC] Multi-System Biomedical QA with Post-Hoc Sentence Attribution for TREC BioGen: Harikrishnan Gurushankar Saisudha (Concordia University),
Sabine Bergler (Concordia University)
[CLaC Lab] Modular Sparse and Dense Retrieval for Evidence-Constrained Biomedical Question Answering: Ganesh Chandrasekar (Computational Linguistics at Concordia (CLaC Lab), Concordia University)
Benjamin Lofo Follo (Computational Linguistics at Concordia (CLaC Lab), Concordia University)
Aleksandr Vinokhodov (Computational Linguistics at Concordia (CLaC Lab), Concordia University)
Sabine Bergler (Computational Linguistics at Concordia (CLaC Lab), Concordia University)
[SIB] SIB Text-Mining group at TREC BioGen 2025: Luc Mottin (SIB)
Anaïs Mottaz (SIB, HES-SO)
Alexandre Flament (HES-SO)
Julien Knafou (SIB, HES-SO)
Patrick Ruch (SIB, HES-SO)
[dal] Dal@TREC25: Improving Biomedical QA with Adaptive Retrieval and Multi-Stage RAG: Jitansh Arora (Dalhousie University)
Aman Jaiswal (Dalhousie University)
Dr. Juan Ramirez-Orta (Dalhousie University)
Dr. Evangelos Milios (Dalhousie University)
[coordinators] Overview of TREC 2025 Biomedical Generative Retrieval (BioGen) Track: Deepak Gupta (National Library of Medicine, NIH)
Dina Demner-Fushman (National Library of Medicine, NIH)
William Hersh (Oregon Health & Science University)
Steven Bedrick (Oregon Health & Science University)
Kirk Roberts (UTHealth Houston)
[UAmsterdam] Generating Long-Form Answers to Biomedical Questions: Effectiveness and Efficiency: Jan Bakker (University of Amsterdam)Jaap Kamps (University of Amsterdam)
[uniud] TREC BioGen 2025: A Retrieval and NLI-Based Approach for Biomedical Evidence Grounding: Riccardo Lunardi (University of Udine)
Riccardo Zamolo (University of Udine)
Maria Elena Zuliani (University of Udine)
Stefano Mizzaro (University of Udine)
Vincenzo Della Mea (University of Udine)
Kevin Roitero (University of Udine)
[GEHC-HTIC] Contradiction-Aware Grounded QA System for TREC 2025 BioGen: Lexical Retrieval Trade-offs and Citation Attribution: Soumya Ranjan Sahoo, GE HealthcareGagan N., GE HealthcareSanand Sasidharan, GE HealthcareDivya Bharti, GE Healthcare

Detection, Retr., and Gen for Understanding News

[WaterlooClarke] WaterlooClarke at TREC 2025: Siqing Huo (University of Waterloo)Charles Clarke (University of Waterloo)
[DUTH] LLM-Based Question Generation and Retrieval-Augmented Reporting for News Credibility: Georgios Arampatzis (DUTH)
Ioannis Maslaris (DUTH)
Avi Arampatzis (DUTH)
[CUET] A LangChain-Based Framework for Investigative Question Generation Using Large Language Models: Adnan Faisal (CUET)
Shiti Chowdhury (CUET)
[UR_trecking] From Questions to Trust Reports: A LLM-IR Framework for the TREC 2025 DRAGUN Track: Ignacy Alwasiak (Jagiellonian University)
Kene Nnolim (Massachusetts Institute of Technology)
Jaclyn Thi (Massachusetts Institute of Technology)
Samy Ateia (University of Regensburg)
Markus Bink (University of Regensburg)
Gregor Donabauer (University of Regensburg)
David Elsweiler (University of Regensburg)
Udo Kruschwitz (University of Regensburg)
[SCIAI] Intelligent News Comprehension through Query Expansion and LLM-Augmented Generation: Jack Cheverton, Siena University Institute for Artificial Intelligence
Oliwia Majtyka, Siena University Institute for Artificial Intelligence
Ting Liu, Siena University Institute for Artificial Intelligence
[UWaterlooMDS] An Iterative Multi-agent RAG System for the TREC 2025 DRAGUN Track: Dake Zhang (University of Waterloo)
[TREMA-UNH] TREMA-UNH at TREC 2025 DRAGUN Track: Iterative Multi-Agent Pipeline for News Verification via Adversarial Credibility Analysis with Local LLMs: Naghmeh Farzi (University of New Hampshire)
Laura Dietz (University of New Hampshire)
[HLTCOE] HLTCOE Evaluation Team at TREC 2025: RAG, RAGTIME, DRAGUN, and BioGen: Laura Dietz (University of New Hampshire, USA)
Bryan Li (University of Pennsylvania, USA)
James Mayfield (Human Language Technology Center of Excellence, Johns Hopkins University, USA)
Dawn Lawrie (Human Language Technology Center of Excellence, Johns Hopkins University, USA)
Eugene Yang (Human Language Technology Center of Excellence, Johns Hopkins University, USA)
William Walden (Human Language Technology Center of Excellence, Johns Hopkins University, USA)
[coordinators] Overview of the TREC 2025 DRAGUN Track: Detection, Retrieval, and Augmented Generation for Understanding News: Dake Zhang (University of Waterloo)
Mark D. Smucker (University of Waterloo)
Charles L. A. Clarke (University of Waterloo)

Interactive Knowledge Acquisition Track

[uva] UvA-IRLab at iKAT25: Exploring Learned Sparse Retrieval and Query Rewriting for Personalized Conversational QA: Simon Lupart (University of Amsterdam)
Zahra Abbasiantaeb (University of Amsterdam)
Mohammad Aliannejadi (University of Amsterdam)
[cfdalab] CFDA & CLIP at TREC iKAT 2025: Enhancing Personalized Conversational Search via Query Reformulation and Rank Fusion: Yu-Cheng Chang (CITI, Academia Sinica)
Guan-Wei Yeo (CITI, Academia Sinica)
Quah Eugene (CITI, Academia Sinica)
Fan-Jie Shih (CITI, Academia Sinica)
Yuan-Ching Kuo (CITI, Academia Sinica)
Tsung-En Yu (CITI, Academia Sinica)
Hung-Chun Hsu (CITI, Academia Sinica)
Ming-Feng Tsai (National Chengchi University)
Chuan-Ju Wang (CITI, Academia Sinica)
[coordinators] TREC iKAT 2025: The Interactive Knowledge Assistance Track Overview: Mohammad Aliannejadi (University of Amsterdam)
Simon Lupart (University of Amsterdam)
Marcel Gohsen (Bauhaus-Universität Weimar)
Zahra Abbasiantaeb (University of Amsterdam)
Nailia Mirzakhmedova (Bauhaus-Universität Weimar)
Johannes Kiesel (GESIS - Leibniz Institute for the Social Sciences)
Jeffrey Dalton (University of Edinburgh)
[GenAIus] Evaluating Full Dialogue History vs. Summarized Context for Personalized Knowledge Assistance: Findings from the TREC 2025 iKAT Track: Suveyda Yeniterzi, GenAIus Technologies
Reyyan Yeniterzi, GenAIus Technologies
[guidance] GUIDANCE@TREC iKAT 2025: Ahmed Rayane Kebir
Victor Morand
Pierre-Antoine Lequeu
Zineddine Tighidet
Mitodru Niyogi
Jonah Turner
Rishu Kumar
Benjamin Piwowarski
[grilllab] GRILL Lab at TREC 2025: Agentic Iterative Retrieval and Gap-Aware Refinement for TREC IKAT and TREC RAG: Paul Owoicho
Jeff Dalton
[usiir] USIIR at TREC 2025 iKAT Track: Lili Lu, Università della Svizzera italiana (USI)

Million LLM

[GenAIus] Finding the Right LLM: Expert Retrieval for Model Ranking in the TREC 2025 Million LLM Track: Reyyan Yeniterzi, GenAIus Technologies
Suveyda Yeniterzi, GenAIus Technologies
[SRCB] SRCB at TREC 2025: Million LLMs and Tip-of-the-Tongue Tracks: Hongyu Li (SRCB)
Yuming Zhang (SRCB)
Junyu Zhou (SRCB)
Yongwei Zhang (SRCB)
Shanshan Jiang (SRCB)
Bin Dong (SRCB)
[UDInfo] How to Choose the Right LLM? Exploring Methods for the Million LLMs Track: Catalina Riano (University of Delaware)
Hui Fang (University of Delaware)
[uvairlab] Discovering Expert LLMs via Next-Token Log Probabilities and Supervised Ranking: Gabrielle Poerwawinata and Jingfen Qiao

Product Search and Recommendation

[JBNU] JBNU at TREC 2025 Product Search and Recommendations Track: Seong-Hyuk Yim (JBNU)
Jae-Young Park (JBNU)
Woo-Seok Choi (JBNU)
Gi-Taek An (JBNU)
Kyung-Soon Lee (JBNU)
[DUTH] Precision by Design: RM3 and Fusion in Product Search: Georgios Arampatzis (DUTH)
Symeon Symeonidis (DUTH)
Avi Arampatzis (DUTH)

RAG TREC Instrument for Multilingual Evaluation

[DUTH] Hybrid Sparse-Neural Fusion for Passage Retrieval: Georgios Arampatzis (DUTH)
Avi Arampatzis (DUTH)
[ncsu-las] Laboratory for Analytic Sciences in TREC 2025 RAG and RAGTIME Tracks: Michael Green (U.S. Dept of Defense)
Yue Wang (University of North Carolina Chapel Hill)
Neil Molino (IDA Center for Computing Sciences)
Julia Yang (IDA Center for Computing Sciences)
John Conroy (IDA Center for Computing Sciences)
[IDACCS] Team IDACCS at TREC 2025: RAG and RAGTIME Tracks: John M. Conroy
Mike Green
Neil P. Molino
Yue “Ray” Wang
Julia S. Yang
[UvA] Improving Completeness in Deep Research Agents through Targeted Enrichment: Jesse Wonnink (Zeta Alpha & University of Amsterdam)
[HLTCOE] HLTCOE Evaluation Team at TREC 2025: RAG, RAGTIME, DRAGUN, and BioGen: Laura Dietz (University of New Hampshire, USA)
Bryan Li (University of Pennsylvania, USA)
James Mayfield (Human Language Technology Center of Excellence, Johns Hopkins University, USA)
Dawn Lawrie (Human Language Technology Center of Excellence, Johns Hopkins University, USA)
Eugene Yang (Human Language Technology Center of Excellence, Johns Hopkins University, USA)
William Walden (Human Language Technology Center of Excellence, Johns Hopkins University, USA)
[GenAIus] Question-Driven Multilingual Retrieval and Report Generation for the RAGTIME Track at TREC 2025: Suveyda Yeniterzi (GenAIus Technologies)
Reyyan Yeniterzi (GenAIus Technologies)
[WueRAG] WueRAG at RAGTIME 2025: Retrieval, Fusion, and Citation for Grounded Report Generation: Julia Wunderle, Julius-Maximilians-Universität Würzburg
Julian Schubert, denkbares GmbH
Joachim Baumeister, denkbares GmbH
Andreas Hotho, Julius-Maximilians-Universität Würzburg
[AMU] AMU at TREC 2025 RAGTIME: A Minimalist GPT-5 Baseline for Multilingual Retrieval-Augmented Report Generation: Maciej Czajka, (Adam Mickiewicz University, Poznan, Poland)
Piotr Jabłoński, (Adam Mickiewicz University, Poznan, Poland)
Konrad Pierzyński, (Adam Mickiewicz University, Poznan, Poland)
Ryszard Staruch, (Adam Mickiewicz University, Poznan, Poland)

Retrieval-Augmented Generation

[WaterlooClarke] WaterlooClarke at TREC 2025: Siqing Huo (University of Waterloo)Charles Clarke (University of Waterloo)
[DUTH] Justification Retrieval with LLMs, Retrieval-Augmented Generation, and Hybrid Labels: Georgios Arampatzis (DUTH)
Vasileios Perifanis (DUTH)
Avi Arampatzis (DUTH)
[UTokyo] UTokyo-HitU at TREC 2025 RAG Track: HyDE-Enhanced Sparse-Dense Retrieval Fusion with LLM Reranking: Sho Fukada (The University of Tokyo)
Atsushi Keyaki (Hitotsubashi University)
Yusuke Matsui (The University of Tokyo)
[ncsu-las] Laboratory for Analytic Sciences in TREC 2025 RAG and RAGTIME Tracks: Michael Green (U.S. Dept of Defense)
Yue Wang (University of North Carolina Chapel Hill)
Neil Molino (IDA Center for Computing Sciences)
Julia Yang (IDA Center for Computing Sciences)
John Conroy (IDA Center for Computing Sciences)
[IDACCS] Team IDACCS at TREC 2025: RAG and RAGTIME Tracks: John M. Conroy
Mike Green
Neil P. Molino
Yue “Ray” Wang
Julia S. Yang
[MITLL] MIT Lincoln Laboratory at TREC 2025 Retrieval-Augmented Generation Track: Daniel Gwon
Kynnedy Smith
Nour Jedidi
[HLTCOE] HLTCOE Evaluation Team at TREC 2025: RAG, RAGTIME, DRAGUN, and BioGen: Laura Dietz (University of New Hampshire, USA)
Bryan Li (University of Pennsylvania, USA)
James Mayfield (Human Language Technology Center of Excellence, Johns Hopkins University, USA)
Dawn Lawrie (Human Language Technology Center of Excellence, Johns Hopkins University, USA)
Eugene Yang (Human Language Technology Center of Excellence, Johns Hopkins University, USA)
William Walden (Human Language Technology Center of Excellence, Johns Hopkins University, USA)
[tus] Keystone-Docs RAG at TREC 2025: Coverage-Aware Few-Document Augmentation via Narrative Decomposition: Yukio Uematsu (Tokyo University of Science)
Koyuki Otani (Tokyo University of Science)
Tomoyuki Shiroyama (Tokyo University of Science)
Masaaki Tsuchida (Tokyo University of Science)
[GenAIus] From Nuggets to Clusters: Multi-Level Evidence Structuring for the TREC 2025 RAG Track: Reyyan Yeniterzi, GenAIus Technologies
Suveyda Yeniterzi, GenAIus Technologies
[ii_research] IIUoT at TREC 2025 Retrieval-Augmented Generation Track: Yating Zhang (University of Tsukuba)
Haitao Yu (University of Tsukuba)
[WING-II] Submodular Evidence Selection for Grounded Answer Generation in TREC RAG 2025: Zizhen Li (National University of Singapore)
Hai-Tao Yu (University of Tsukuba)
[grilllab] GRILL Lab at TREC 2025: Agentic Iterative Retrieval and Gap-Aware Refinement for TREC IKAT and TREC RAG: Paul Owoicho
Jeff Dalton
[NIT Agartala] NITATREC at TREC RAG 2025: A Report on Exploring Sparse, Dense, and Hybrid Retrieval for Retrieval-Augmented Generation: Aparajita Sinha
National Institute of Technology
Agartala, Tripura, India
[email protected]
Kunal Chakma
National Institute of Technology
Agartala, Tripura, India
[email protected]
[uogTr] Processing Queries with Complex Information Needs: University of Glasgow Terrier Team at TREC RAG 2025: Fangzheng Tian, University of Glasgow
Debasis Ganguly, University of Glasgow
Craig Macdonald, University of Glasgow
[cfdalab] CFDA at TREC 2025 Retrieval-Augmented Generation Track (RAG): Che-Cheng Wu (Research Center for Information Technology Innovation, Academia Sinica)
Po-Jen Ko (Research Center for Information Technology Innovation, Academia Sinica)
Chuan-Chun Tseng (Research Center for Information Technology Innovation, Academia Sinica)
Shao-Hua Wu (Research Center for Information Technology Innovation, Academia Sinica)
Pei-Ju Hsieh (Research Center for Information Technology Innovation, Academia Sinica)
Li-Yang Chang (Research Center for Information Technology Innovation, Academia Sinica)
Ming-Feng Tsai (Department of Computer Science, National Chengchi University)
Chuan-Ju Wang (Research Center for Information Technology Innovation, Academia Sinica)
[coordinators] Overview of the TREC 2025 Retrieval Augmented Generation (RAG) Track: Shivani Upadhyay (University of Waterloo)
Nandan Thakur (University of Waterloo)
Ronak Pradeep (University of Waterloo)
Nick Craswell (Microsoft)
Daniel Campos (Zipf AI)
Jimmy Lin (University of Waterloo)

Tip-of-the-Tongue Search

[coordinators] Overview of the TREC 2025 Tip-of-the-Tongue track: Jaime Arguello (University of North Carolina, USA)
Fernando Diaz (Carnegie Mellon University, USA)
Maik Fröebe (Friedrich-Schiller-Universität Jena, Germany)
To Eun Kim (Carnegie Mellon University, USA)
Bhaskar Mitra (Independent Researcher, Canada)
[DUTH] Bridging Lexical and Neural Ranking for Topic-Oriented Retrieval: Georgios Arampatzis (DUTH)
Konstantina Safouri (DUTH)
Avi Arampatzis (DUTH)
[ufmg] UFMG at TREC 2025: Retriever-Aligned Query Rewriting for Tip-of-the-Tongue Retrieval: Arthur Nader (UFMG)
Rodrygo Santos (UFMG)
[mst] Single-Turn LLM Reformulation Powered Multi-Stage Hybrid Re-Ranking for Tip-of-the-Tongue Known-Item Retrieval: Debayan Mukhopadhyay, Independent Researcher
Utshab Kumar Ghosh, Missouri University of Science and Technology
Shubham Chatterjee, Missouri University of Science and Technology
[DS@GT] DS@GT at TREC TOT 2025: Bridging Vague Recollection with Fusion Retrieval and Learned Reranking: Wenxin Zhou, Georgia Institute of Technology
Ritesh Mehta, Georgia Institute of Technology
Anthony Miyaguchi, Georgia Institute of Technology
[UAmsterdam] Hedge Removal, Query Drift, and the Simulation Gap in Tip-of-the-Tongue Retrieval: Bruno Nadalic Sotic (University of Amsterdam)
Jaap Kamps (University of Amsterdam)
[SRCB] SRCB at TREC 2025: Million LLMs and Tip-of-the-Tongue Tracks: Hongyu Li (SRCB)
Yuming Zhang (SRCB)
Junyu Zhou (SRCB)
Yongwei Zhang (SRCB)
Shanshan Jiang (SRCB)
Bin Dong (SRCB)
[webis] Webis at TREC 2025: Tip-of-the-Tongue Track and AutoJudge: Maik Fröbe (Friedrich-Schiller-Universität Jena)
Jan Heinrich Merker (Friedrich-Schiller-Universität Jena)
Eric Oliver Schmidt (Martin-Luther-Universität Halle)
Martin Potthast (Universität Kassel)
Matthias Hagen (Friedrich-Schiller-Universität Jena)

Video Question Answering

[CERTH-ITI] MLLM Frame Subset Ensembling for Audio-Visual Video QA and MLLM-based Reranking for Ad-hoc Video Search in TRECVID 2025: Andreas Goulas
Damianos Galanopoulos
Ioannis Patras
Vasileios Mezaris
[coordinators] Video Question Answering (VQA) 2025 Track: George Awad (NIST)
Sanjay Purushotham (UMBC)
Afzal Godil (NIST)
[HLTCOE] HLTCOE Evaluation Team at TREC 2025: VQA Track: Dengjia Zhang
Charles Weng
Katherine Guerrerio
Yi Lu
Kenton Murray
Alexander Martin
Reno Kriz
Benjamin Van Durme
[WHU-NERCMS] WHU-NERCMS AT TRECVID2025: AD-HOC VEDIO SEARCH(AVS) AND VIDEO QUESTION ANSWER(VQA) TASK: Fangyun Duan, Haixiang Ni, XiusongWang, Chao Liang
[NII_UIT] Spatio-Temporal Input Densification for Efficient and Robust Open-Domain Video Question Answering: Bao Tran, University of Information Technology, Vietnam and Vietnam National University
Thuyen Tran Doan, University of Information Technology, Vietnam and Vietnam National University
Tien Do, University of Information Technology, Vietnam and Vietnam National University
Tien-Dung Mai, University of Information Technology, Vietnam and Vietnam National University
Thanh Duc Ngo, University of Information Technology, Vietnam and Vietnam National University
Duy-Dinh Le, University of Information Technology, Vietnam and Vietnam National University
Shin’ichi Satoh, National Institute of Informatics, Japan
[kslab] Nagaoka University of Technology at TREC 2025: Video Question Answering: Isabel Gonzalez, Nagaoka University of TechnologyShungo Kubosaka, Nagaoka University of TechnologyTakashi Yukawa, Nagaoka University of Technology