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Overview of TREC 2023
- Ian Soboroff, NIST
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TREC2023 AToMiC Overview
- Jheng-Hong Yang, University of Waterloo
Carlos Lassance, Naver Labs Europe Rafael Sampaio de Rezende, Naver Labs Europe Krishna Srinivasan, Google Research Miriam Redi, Wikimedia Foundation Stéphane Clinchant, Naver Labs Europe Jimmy Lin, University of Waterloo
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CrisisFACTS 2023 - Overview Paper
- Cody Buntain, University of Maryland
Amanda Hughes, Brigham Young University Richard McCreadie, University of Glasgow Benjamin D. Horne, University of Tennessee Muhammad Imran, Qatar Computing Research Institute Hemant Purohit, George Mason University
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Overview of the TREC 2023 Deep Learning Track
- Nick Craswell, Microsoft
Bhaskar Mitra, Microsoft Emine Yilmaz, University College London and Amazon Hossein A. Rahmani, University College London Daniel Campos, Snowflake Jimmy Lin, University of Waterloo Ellen M. Voorhees, NIST Ian Soboroff, NIST
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TREC iKAT 2023: The Interactive Knowledge Assistance Track Overview
- Mohammad Aliannejadi, University of Amsterdam
Zahra Abbasiantaeb, University of Amsterdam Shubham Chatterjee, University of Edinburgh Jeffery Dalton, University of Edinburgh Leif Azzopardi, University of Strathclyde
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Overview of the TREC 2023 NeuCLIR Track
- Dawn Lawrie, Johns Hopkins University Human Language Technology Center of Excellence
Sean MacAvaney, University of Glasgow James Mayfield, Johns Hopkins University Human Language Technology Center of Excellence Paul McNamee, Johns Hopkins University Human Language Technology Center of Excellence Douglas W. Oard, University of Maryland Luca Soldaini, Allen Institute for AI Eugene Yang, Johns Hopkins University Human Language Technology Center of Excellence
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Overview of the TREC 2023 Tip-of-the-Tongue Track
- Jaime Arguello, University of North Carolina
Samarth Bhargav, University of Amsterdam Fernando Diaz, Carnegie Mellon University Evangelos Kanoulas, University of Amsterdam Bhaskar Mitra, Microsoft Research
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[CFDA_CLIP] CFDA & CLIP Labs at TREC'23 Product Search Track
- Jia-Huei Ju, Academia Sinica
Chung-Kang Lo, Academia Sinica Yao-Cheng Lu, Academia Sinica Kuan-Lin Lai, Academia Sinica Cheng-Wei Huang, Academia Sinica Wei-Hsin Chiu, Academia Sinica Ming-Feng Tsai, National Chengchi University Chuan-Ju Wang, Academia Sinica
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[CIIR] UMass at TREC 2023 NeuCLIR Track
- Zhiqi Huang, University of Massachusetts Amherst
Puxuan Yu, University of Massachusetts Amherst James Allan, University of Massachusetts Amherst
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[CIP] CIP at TREC Deep Learning Track 2023
- Xiaoyang Chen, Chinese Information Processing Laboratory
Ben He, University of Chinese Academy of Sciences Le Sun, Chinese Information Processing Laboratory Yingfei Sun, University of Chinese Academy of Sciences
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[CMU-LTI] Team CMU-LTI at TREC 2023 Tip-of-the-Tongue Track
- Luís Borges, IST and INESC-ID, University of Lisbon, Portugal
Jamie Callan, Carnegie Mellon University, USA Bruno Martins, IST and INESC-ID, University of Lisbon, Portugal
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[CSIRO-UQ-ielab] Team IELAB at TREC Clinical Trial Track 2023: Enhancing Clinical Trial Retrieval with Neural Rankers and Large Language Models
- Shengyao Zhuang, CSIRO
Bevan Koopman, CSIRO Guido Zuccon, The University of Queensland
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[CSIROmed] Matching of Patient Questionnaires to Clinical Trials with Large Language Models
- Maciej Rybinski, CSIRO
Sarvnaz Karimi, CSIRO
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[DoSSIER] DoSSIER at TREC 2023 Clinical Trials Track
- Wojciech Kusa, TU Wien
Patrick Styll, TU Wien Maximilian Seeliger, TU Wien Oscar E. Mendoza, University of Milano-Bicocca Allan Hanbury, TU Wien
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[EMA3] MALNIS and EMA3 @ TREC 2023 Clinical Trials Track
- Mozhgan Saeidi, Department of Computer Science, Dalhousie University, University Health Network(UHN)
Aman Jaiswal, Department of Computer Science, Dalhousie University Abhishek Dhankar, Manitoba Centre for Health Policy, University of Manitoba Alan Katz, Manitoba Centre for Health Policy, University of Manitoba Evangelos Milios, Department of Computer Science, Dalhousie University
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[Human_Info_Lab] Summarizing Social Media & News Streams for Crisis-related Events by Integrated Content-Graph Analysis: TREC-2023 CrisisFACTS Track
- Hossein Salemi, George Mason University
Yasas Senarath, George Mason University Tarin Sultata Sharika, George Mason University Anuridhi Gupta, George Mason University Hemant Purohit, George Mason University
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[IDACCS] Fast Extractive Summarization, Abstractive Summarization, and Hybrid Summarization for CrisisFACTS at TREC 2023
- Violet Burbank, Department of Defense
John M. Conroy, IDA Center for Computing Sciences Sean Lynch, Department of Defense Neil P. Molino, IDA Center for Computing Sciences Julia S. Yang, Department of Defense
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[IITD] Information Retrieval Combined with Large Language Model: Summarization Perspective
- Shivani Choudhary, IITD
Niladri Chatterjee, IITD Subir Kumar Saha, IITD
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[IRLAB_IIT_BHU] Facts Summarization at the TREC 2023: IIT(BHU) in CrisisFACTs Track
- Amit Yadav, Indian Institute of Technology(BHU) Varanasi Uttar Pradesh, India 221005
Sukomal Pal, Indian Institute of Technology(BHU) Varanasi Uttar Pradesh, India 221005
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[IRLab-Amsterdam] LLM-based Retrieval and Generation Pipelines for TREC Interactive Knowledge Assistance Track (iKAT) 2023
- Zahra Abbasiantaeb, University of Amsterdam
Chuan Meng, University of Amsterdam David Rau, University of Amsterdam Antonis Krasakis, University of Amsterdam Hossein A. Rahmani, University College London Mohammad Aliannejadi, University of Amsterdam
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[ISI_SEARCHER] ISI's SEARCHER II System for TREC's 2023 NeuCLIR Track
- Scott Miller, USC ISI
Shantanu Agarwal, USC ISI Joel Barry, USC ISI
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[InfoSense] Sequencing Matters: A Generate-Retrieve-Generate Model for Building Conversational Agents
- Quinn Patwardhan, Sidwell Friends School
Grace Hui Yang, Georgetown University
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[MU_CS] Leveraging OpenAI's Ada Embedding Model for Zero-Shot Classification at TREC 2023 Clinical Trials
- Luke Richmond, Marquette University
Priya Deshpande, Marquette University
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[NM] Large Language Models in Summarizing Social Media for Emergency Management
- Jayr Pereira, NeuralMind
Rodrigo Nogueira, NeuralMind Roberto Lotufo, NeuralMind
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[OHM] Multi-Query Focused Disaster Summarization via Instruction-Based Prompting
- Philipp Seeberger, Technische Hochschule Nürnberg Georg Simon Ohm
Korbinian Riedhammer, Technische Hochschule Nürnberg Georg Simon Ohm
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[RALI] RALI@TREC iKAT 2023: Generative Query Reformulation for Conversational Information Seeking
- Fengran Mo, University of Montreal
Bole Yi, University of Montreal Jian-Yun Nie, University of Montreal
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[RSLTOT] RSLTOT at the TREC 2023 ToT Track
- Reo Yoshikoshi, Waseda University
Tetsuya Sakai, Waseda University
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[SienaCLTeam] Query Expansion for Crisis Events
- Jack Cheverton, Siena College
Sharon G. Small, Siena College Ting Liu, Siena College
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[TREMA-UNH] Exploring Topic Landscape for Question-Answering Models in Hyperbolic Embedding Space
- Sumanta Kashyapi, University of New Hampshire
Laura Dietz, University of New Hampshire
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[UAmsterdam] Multimodal Learned Sparse Retrieval for Image Suggestion Task
- Thong Nguyen, University of Amsterdam
Mariya Hendriksen, University of Amsterdam Andrew Yates, University of Amsterdam
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[UNIMIB_IKR3] UNIMIB at TREC 2023 Clinical Trials Track
- Georgios Peikos, University of Milano-Bicocca
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[UWaterlooMDS] UWaterlooMDS at TREC 2023: Deep Learning Track and Tip-of-the-Tongue Track
- Dake Zhang, University of Waterloo
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[V-TorontoMU] TMU at TREC Clinical Trials Track 2023
- Aritra Kumar Lahiri, Toronto Metropolitan University
Emrul Hasan, Toronto Metropolitan University Qinmin Vivian Hu, Toronto Metropolitan University Cherie Ding, Toronto Metropolitan University
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[Webis] Webis at TREC 2023: Tip-of-the-Tongue track
- Maik Fröbe, Friedrich-Schiller-Universität Jena
Christine Brychcy, Friedrich-Schiller-Universität Jena Elisa Kluge, Friedrich-Schiller-Universität Jena Eric Oliver Schmidt, Martin-Luther-Universität Halle-Wittenberg Matthias Hagen, Friedrich-Schiller-Universität Jena
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[endicott-unc] TREC-ToT: Endicott and UNC Notebook Paper
- Henry Feild, Endicott College
Jaime Arguello, University of North Carolina at Chapel Hill
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[h2oloo] TREC 2023 - h2oloo in the Product Search Challenge
- Jheng-Hong Yang, University of Waterloo
Jimmy Lin, University of Waterloo
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[h2oloo] Naverloo @ TREC Deep Learning and Neuclir 2023: As Easy as Zero, One, Two, Three � Cascading Dual Encoders, Mono, Duo, and Listo for Ad-Hoc Retrieval
- Carlos Lassance, Naver Labs Europe
Ronak Pradeep, University of Waterloo Jimmy Lin, University of Waterloo
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[hltcoe] HLTCOE at TREC 2023 NeuCLIR Track
- Eugene Yang, Human Language Technology Center of Excellence, Johns Hopkins University
Dawn Lawrie, Human Language Technology Center of Excellence, Johns Hopkins University James Mayfield, Human Language Technology Center of Excellence, Johns Hopkins University
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[jbnu] JBNU at TREC 2023 Product Search Track
- Gi-taek An, Jeonbuk National University
Woo-Seok Choi, Jeonbuk National University Jun-Yong Park, Jeonbuk National University Kyung-Soon Lee, Jeonbuk National University
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[nut-kslab] nut-kslab at TREC 2023 CrisisFACTS track
- Phichamon Theamtun, Nagaoka University of Technology
Takashi YUKAWA, Nagaoka University of Technology
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[snuldilab] SNU LDILAB @ TREC Tip of the tongue 2023
- Jongho Kim, Seoul National University
Soona Hong, Seoul National University Seung-won Hwang, Seoul National University
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[trackorg] OVERVIEW OF THE TREC 2023 PRODUCT PRODUCT SEARCH TRACK
- Daniel Campos, Snowflake
Surya Kallumadi, Lowes Corby Rosset, Microsoft Research Cheng Xiang Zhai, University of Illinois Alessandro Magnani, Walmart
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[ufmg] UFMG at the TREC 2023 Tip of the Tongue Track
- Rita Borges de Lima, Universidade Federal de Minas Gerais
Rodrygo L. T. Santos, Universidade Federal de Minas Gerais
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[umd_hcil] BLADE: The University of Maryland at the TREC 2023 NeuCLIR Track
- Suraj Nair, University of Maryland
Douglas W. Oard, University of Maryland
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[uogTr] Generative Relevance Feedback and Convergence of Adaptive Re-Ranking: University of Glasgow Terrier Team at TREC DL 2023
- Andrew Parry, University of Glasgow
Thomas Jänich, University of Glasgow Sean MacAvaney, University of Glasgow Iadh Ounis, University of Glasgow
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[uot-yahoo] University of Tsukuba Team at the TREC 2023 Interactive Knowledge Assistance Track
- Lingzhen Zheng, Graduate School of Comprehensive Human Sciences, University of Tsukuba
Kaiyu Yang, Graduate School of Comprehensive Human Sciences, University of Tsukuba Haitao Yu, Institute of Library, Information and Media Science, University of Tsukuba Sumio Fujita, LY Research, LY Corporation Hideo Joho, Institute of Library, Information and Media Science, University of Tsukuba
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[uot-yahoo] University of Tsukuba Team at the TREC 2023 Deep Learning Track
- Kaiyu Yang, Graduate School of Comprehensive Human Sciences, University of Tsukuba
Lingzhen Zheng, Graduate School of Comprehensive Human Sciences, University of Tsukuba Haitao Yu, Institute of Library, Information and Media Science, University of Tsukuba Sumio Fujita, LY Research, LY Corporation Hideo Joho, Institute of Library, Information and Media Science, University of Tsukuba
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