Text REtrieval Conference (TREC) 2024 Proceedings

Activities in Extended Video

TRECVID 2024 - Evaluating video search, captioning, and activity recognition: George Awad (NIST)
Jonathan Fiscus (NIST)
Afzal Godil (NIST)
Lukas Diduch (NIST)
Yvette Graham (Trinity College Dublin)
Georges Quénot (LIG)
[CERTH-ITI] ITI-CERTH participation in ActEV and AVS Tracks of TRECVID 2024: Konstantinos Gkountakos, Damianos Galanopoulos, Antonios Leventakis, Georgios Tsionkis, Klearchos Stavrothanasopoulos, Konstantinos Ioannidis, Stefanos Vrochidis, Vasileios Mezaris, Ioannis Kompatsiaris

Adhoc Video Search

TRECVID 2024 - Evaluating video search, captioning, and activity recognition: George Awad (NIST)
Jonathan Fiscus (NIST)
Afzal Godil (NIST)
Lukas Diduch (NIST)
Yvette Graham (Trinity College Dublin)
Georges Quénot (LIG)
[CERTH-ITI] ITI-CERTH participation in ActEV and AVS Tracks of TRECVID 2024: Konstantinos Gkountakos, Damianos Galanopoulos, Antonios Leventakis, Georgios Tsionkis, Klearchos Stavrothanasopoulos, Konstantinos Ioannidis, Stefanos Vrochidis, Vasileios Mezaris, Ioannis Kompatsiaris
[WHU-NERCMS] WHU-NERCMS AT TRECVID2024: AD-HOC VIDEO SEARCH TASK: Heng Liu (Hubei Key Laboratory of Multimedia and Network Communication Engineering, NERCMS, WHU)
Jiangshan He (NERCMS)
Zeyuan Zhang (Hubei Key Laboratory of Multimedia and Network Communication Engineering, NERCMS, WHU)
Yuanyuan Xu (NERCMS)
Chao Liang (Hubei Key Laboratory of Multimedia and Network Communication Engineering, NERCMS, WHU)
[ruc_aim3] RUC_AIM3 at TRECVID 2024: Ad-hoc Video Search: Xueyan Wang (Renmin University of China)
Yang Du (Renmin University of China)
Yuqi Liu (Renmin University of China)
Qin Jin (Renmin University of China)
[softbank-meisei] Softbank-Meisei at TREC 2024 Ad-hoc Video Search and Video to Text Tasks: Kazuya Ueki (Meisei University)
Yuma Suzuki (SoftBank Corp.)
Hiroki Takushima (SoftBank Corp.)
Haruki Sato (Agoop Corp.)
Takumi Takada (SB Intuitions Corp.)
Aiswariya Manoj Kumar (SoftBank Corp.)
Hayato Tanoue (SoftBank Corp.)
Hiroki Nishihara (SoftBank Corp.)
Yuki Shibata (SoftBank Corp.)
Takayuki Hori (SoftBank Corp.)

Biomedical Generative Retrieval

Overview of TREC 2024 Biomedical Generative Retrieval (BioGen) Track: Deepak Gupta, Dina Demner-Fushman, William Hersh, Steven Bedrick, Kirk Roberts
[ur-iw] Exploring the Few-Shot Performance of Low-Cost Proprietary Models in the 2024 TREC BioGen Track: Samy Ateia (University of Regensburg)
Udo Kruschwitz (University of Regensburg)
[webis] Webis at TREC 2024: Biomedical Generative Retrieval, Retrieval-Augmented Generation, and Tip-of-the-Tongue Tracks: Maik Fröbe (Friedrich-Schiller-Universität)
Lukas Gienapp (Leipzig University & ScaDS.AI)
Harrisen Scells (Universität Kassel)
Eric Oliver Schmidt (Martin-Luther-Universität Halle)
Matti Wiegmann (Bauhaus-Universität Weimar)
Martin Potthast
Universität Kassel (Universität Kassel & hessian.AI & ScaDS.AI)
Matthias Hagen (Friedrich-Schiller-Universität Jena)

Interactive Knowledge Assistance Track (iKAT)

TREC iKAT 2024: The Interactive Knowledge Assistance Track Overview: Mohammad Aliannejadi (University of Amsterdam)
Zahra Abbasiantaeb (University of Amsterdam)
Simon Lupart (University of Amsterdam)
Shubham Chatterjee (University of Edinburgh)
Jeffrey Dalton (University of Edinburgh)
Leif Azzopardi (University of Strathclyde)
[DCU-ADAPT] DCU-ADAPT@TREC iKAT 2024: Incorporating Retrieved Knowledge for Enhanced Conversational Search: Praveen Acharya (Dublin City University)
Xiao Fu (University College London)
Noriko Kando (National Institute of Informatics)
Gareth J. F. Jones (Dublin City University)
[ii_research] IIUoT at TREC 2024 Interactive Knowledge Assistance Track: Yating Zhang (University of Tsukuba)
Haitao Yu (University of Tsukuba)
[infosenselab] Passage Query Methods for Retrieval and Reranking in Conversational Agents: Victor De Lima (Georgetown InfoSense)
Grace Hui Yang (Georgetown InfoSense)
[nii] NII@TREC IKAT 2024:LLM-Based Pipelines for Personalized Conversational Information Seeking: Xiao Fu (UCL)
Navdeep Singh Bedi (USI)
Praveen Acharya (DCU)
Noriko Kando (NII)
[rali lab] RALI@TREC iKAT 2024: Achieving Personalization via Retrieval Fusion in Conversational Search: Yuchen Hui (RALI Lab, Université de Montréal)
Fengran Mo (RALI Lab, Université de Montréal)
Milan Mao (RALI Lab, Université de Montréal)
Jian-Yun Nie (RALI Lab, Université de Montréal)
[uva] IRLab@iKAT24: Learned Sparse Retrieval with Multi-aspect LLM Query Generation for Conversational Search: Simon Lupart (University of Amsterdam)
Zahra Abbasiantaeb (University of Amsterdam)
Mohammad Aliannejadi (University of Amsterdam)

Lateral Reading

Overview of the TREC 2024 Lateral Reading Track: Dake Zhang (University of Waterloo)
Mark D. Smucker (University of Waterloo)
Charles L. A. Clarke (University of Waterloo)
[WaterlooClarke] Monster Ranking: Charles L. A. Clarke (University of Waterloo)
Siqing Huo (University of Waterloo)
Negar Arabzadeh (University of Waterloo)

Medical Video Question Answering

Overview of TREC 2024 Medical video Question Answering (MedVidQA) Track: Deepak Gupta and Dina Demner-Fushman
[DoshishaUzlDfki] Doshisha University, Universität zu Lübeck and German Research Center for Artificial Intelligence at TRECVID 2024: QFISC Task: Zihao Chen (Doshisha University)
Falco Lentzsch (German Research Center for Artificial Intelligence)
Nele S. Brügge (German Research Center for Artificial Intelligence)
Frédéric Li (German Research Center for Artificial Intelligence)
Miho Ohsaki (Doshisha University)
Heinz Handels (German Research Center for Artificial Intelligence, University of Luebeck)
Marcin Grzegorzek (German Research Center for Artificial Intelligence, University of Luebeck)
Kimiaki Shirahama (Doshisha University)

NeuCLIR (Cross language and multilingual search)

Plain Language Adaptation of Biomedical Abstracts

[UAmsterdam] Biomedical Text Simplification Models Trained on Aligned Abstracts and Lay Summaries: Jan Bakker (University of Amsterdam)
Taiki Papandreou-Lazos (University of Amsterdam)
Jaap Kamps (University of Amsterdam)
[UM] {MaLei} at the PLABA Track of TREC 2024: RoBERTa for Term Replacement -- LLaMA3.1 and GPT-4o for Complete Abstract Adaptation: Zhidong Ling, Zihao Li, Pablo Romero, Lifeng Han, Goran Nenadic
[UM] {MaLei} at the PLABA Track of TAC-2024: RoBERTa for Task 1 -- LLaMA3.1 and GPT-4o for Task 2: Zhidong Ling, Zihao Li, Pablo Romero, Lifeng Han, Goran Nenadic
[ntu_nlp] Enhancing Accessibility of Medical Texts through Large Language Model-Driven Plain Language Adaptation: Ting-Wei Chang (Department of Computer Science and Information Engineering, National Taiwan University, Taiwan)
Hen-Hsen Huang (Institute of Information Science, Academia Sinica, Taiwan)
Hsin-Hsi Chen (Department of Computer Science and Information Engineering, National Taiwan University, Taiwan, AI Research Center (AINTU), National Taiwan University, Taiwan)
[um_fhs] UM_FHS at TREC 2024 PLABA: Exploration of Fine-tuning and AI agent approach for plain language adaptations of biomedical text: Primoz Kocbek (University of Maribor)
Leon Kopitar (University of Maribor)
Zhihong Zhang (Columbia University)
Emirhan Aydın (Manisa Celal Bayar University)
Maxim Topaz (Columbia University)
Gregor Stiglic (University of Maribor)

Product Search

[jbnu] JBNU at TREC 2024 Product Search Track: Gi-taek An (Jeonbuk National University)
Seong-Hyuk Yim (Jeonbuk National University)
Jun-Yong Park (Jeonbuk National University)
Woo-Seok Choi (Jeonbuk National University)
Kyung-Soon Lee (Jeonbuk National University)

Retrieval-Augmented Generation

[CIR] CIR at TREC 2024 RAG: Task 2 - Augmented Generation with Diversified Segments and Knowledge Adaption: Jüri Keller (TH Köln - University of Applied)
Björn Engelmann (TH Köln - University of Applied)
Fabian Haak (TH Köln - University of Applied)
Philipp Schaer (TH Köln - University of Applied)
Hermann Kroll (TU Braunschweig)
Christin Katharina Kreutz (TH Mittelhessen - University of Applied Sciences, Herder Institute)
[TREMA-UNH] TREMA-UNH at TREC: RAG Systems and RUBRIC-style Evaluation: Naghmeh Farzi
Laura Dietz
[WaterlooClarke] Monster Ranking: Charles L. A. Clarke (University of Waterloo)
Siqing Huo (University of Waterloo)
Negar Arabzadeh (University of Waterloo)
[ncsu-las] Laboratory for Analytic Sciences in TREC 2024 Retrieval Augmented Generation Track: Yue Wang (UNC at Chapel Hill)
John M. Conroy (IDA Center for Computing Sciences)
Neil Molino (IDA Center for Computing Sciences)
Julia Yang (U.S. Department of Defense)
Mike Green (U.S. Department of Defense)
[softbank-meisei] softbank-meisei-trec2024-papers-proc-2: Aiswariya Manoj Kumar（Softbank Corp.）
Hiroki Takushima（Softbank Corp.）
Yuma Suzuki（Softbank Corp.）
Hayato Tanoue（Softbank Corp.）
Hiroki Nishihara（Softbank Corp.）
Yuki Shibata（Softbank Corp.）
Haruki Sato（Agoop Corp.）
Takumi Takada（SB Intuitions Corp.）
Takayuki Hori（Softbank Corp.）
Kazuya Ueki（Meisei Univ.）
[uis-iai] The University of Stavanger (IAI) at the TREC 2024 Retrieval-Augmented Generation Track: Weronika Lajewska (University of Stavanger)
Krisztian Balog (University of Stavanger)
[webis] Webis at TREC 2024: Biomedical Generative Retrieval, Retrieval-Augmented Generation, and Tip-of-the-Tongue Tracks: Maik Fröbe (Friedrich-Schiller-Universität)
Lukas Gienapp (Leipzig University & ScaDS.AI)
Harrisen Scells (Universität Kassel)
Eric Oliver Schmidt (Martin-Luther-Universität Halle)
Matti Wiegmann (Bauhaus-Universität Weimar)
Martin Potthast
Universität Kassel (Universität Kassel & hessian.AI & ScaDS.AI)
Matthias Hagen (Friedrich-Schiller-Universität Jena)

Tip-of-the-Tongue Search

Overview of the TREC 2024 Tip-of-the-Tongue track: Jaime Arguello (University of North Carolina, USA)
Samarth Bhargav (University of Amsterdam, Netherlands)
Fernando Diaz (Carnegie Mellon University, USA)
To Eun Kim (Carnegie Mellon University, USA)
Yifan He (Carnegie Mellon University, USA)
Evangelos Kanoulas (University of Amsterdam, Netherlands)
Bhaskar Mitra (Microsoft Research, Canada)
[IISER-K] IISERK@ToT_2024: Query Reformulation and Layered Retrieval for Tip-of-Tongue Items: Subinay Adhikary (IISER-K),
Shuvam Banerji Seal (IISER-K),
Soumyadeep Sar (IISER-K),
Dwaipayan Roy (IISER-K)
[webis] Webis at TREC 2024: Biomedical Generative Retrieval, Retrieval-Augmented Generation, and Tip-of-the-Tongue Tracks: Maik Fröbe (Friedrich-Schiller-Universität)
Lukas Gienapp (Leipzig University & ScaDS.AI)
Harrisen Scells (Universität Kassel)
Eric Oliver Schmidt (Martin-Luther-Universität Halle)
Matti Wiegmann (Bauhaus-Universität Weimar)
Martin Potthast
Universität Kassel (Universität Kassel & hessian.AI & ScaDS.AI)
Matthias Hagen (Friedrich-Schiller-Universität Jena)
[yalenlp] Yale NLP at TREC 2024: Tip-of-the-Tongue Track: Rohan Phanse (Yale University)
Gabrielle Kaili-May Liu (Yale University)
Arman Cohan (Yale University)

Video-to-Text

TRECVID 2024 - Evaluating video search, captioning, and activity recognition: George Awad (NIST)
Jonathan Fiscus (NIST)
Afzal Godil (NIST)
Lukas Diduch (NIST)
Yvette Graham (Trinity College Dublin)
Georges Quénot (LIG)
[softbank-meisei] Softbank-Meisei at TREC 2024 Ad-hoc Video Search and Video to Text Tasks: Kazuya Ueki (Meisei University)
Yuma Suzuki (SoftBank Corp.)
Hiroki Takushima (SoftBank Corp.)
Haruki Sato (Agoop Corp.)
Takumi Takada (SB Intuitions Corp.)
Aiswariya Manoj Kumar (SoftBank Corp.)
Hayato Tanoue (SoftBank Corp.)
Hiroki Nishihara (SoftBank Corp.)
Yuki Shibata (SoftBank Corp.)
Takayuki Hori (SoftBank Corp.)