Table of Contents

• UFMG at the TREC 2023 Tip of the Tongue TrackRita Borges de Lima, Rodrygo L. T. Santos. [doi]
• TREC 2023 - h2oloo in the Product Search ChallengeJheng-Hong Yang, Jimmy Lin. [doi]
• nut-kslab at TREC 2023 CrisisFACTS trackPhichamon Theamtun, Takashi Yukawa. [doi]
• OVERVIEW OF THE TREC 2023 PRODUCT PRODUCT SEARCH TRACKDaniel Campos, Surya Kallumadi, Corby Rosset, Cheng Xiang Zhai, Alessandro Magnani. [doi]
• SNU LDILAB @ TREC Tip of the tongue 2023Jongho Kim, Soona Hong, Seung-won Hwang. [doi]
• Generative Relevance Feedback and Convergence of Adaptive Re-Ranking: University of Glasgow Terrier Team at TREC DL 2023Andrew Parry, Thomas Jänich, Sean MacAvaney, Iadh Ounis. [doi]
• Matching of Patient Questionnaires to Clinical Trials with Large Language ModelsMaciej Rybinski, Sarvnaz Karimi. [doi]
• Overview of TREC 2023Ian Soboroff. [doi]
• DoSSIER at TREC 2023 Clinical Trials TrackWojciech Kusa, Patrick Styll, Maximilian Seeliger, Óscar E. Mendoza, Allan Hanbury. [doi]
• TREC iKAT 2023: The Interactive Knowledge Assistance Track OverviewMohammad Aliannejadi, Zahra Abbasiantaeb, Shubham Chatterjee, Jeffery Dalton, Leif Azzopardi. [doi]
• TREC-ToT: Endicott and UNC Notebook PaperHenry Feild, Jaime Arguello. [doi]
• University of Tsukuba Team at the TREC 2023 Interactive Knowledge Assistance TrackLingzhen Zheng, Kaiyu Yang, Haitao Yu 0003, Sumio Fujita, Hideo Joho. [doi]
• Information Retrieval Combined with Large Language Model: Summarization PerspectiveShivani Choudhary, Niladri Chatterjee, Subir Kumar Saha. [doi]
• CFDA & CLIP Labs at TREC'23 Product Search TrackJia-Huei Ju, Chung-Kang Lo, Yao-Cheng Lu, Kuan-Lin Lai, Cheng-Wei Huang, Wei-Hsin Chiu, Ming-Feng Tsai, Chuan-Ju Wang. [doi]
• Large Language Models in Summarizing Social Media for Emergency ManagementJayr Pereira, Rodrigo Nogueira, Roberto A. Lotufo. [doi]
• ISI's SEARCHER II System for TREC's 2023 NeuCLIR TrackScott Miller, Shantanu Agarwal, Joel Barry. [doi]
• Overview of the TREC 2023 NeuCLIR TrackDawn J. Lawrie, Sean MacAvaney, James Mayfield, Paul McNamee, Douglas W. Oard, Luca Soldaini, Eugene Yang. [doi]
• Multi-Query Focused Disaster Summarization via Instruction-Based PromptingPhilipp Seeberger, Korbinian Riedhammer. [doi]
• CrisisFACTS 2023 - Overview PaperCody Buntain, Amanda Lee Hughes, Richard McCreadie, Benjamin D. Horne, Muhammad Imran 0002, Hemant Purohit. [doi]
• Exploring Topic Landscape for Question-Answering Models in Hyperbolic Embedding SpaceSumanta Kashyapi, Laura Dietz. [doi]
• Facts Summarization at the TREC 2023: IIT(BHU) in CrisisFACTs TrackAmit Yadav, Sukomal Pal. [doi]
• UMass at TREC 2023 NeuCLIR TrackZhiqi Huang, Puxuan Yu, James Allan. [doi]
• RSLTOT at the TREC 2023 ToT TrackReo Yoshikoshi, Tetsuya Sakai. [doi]
• UNIMIB at TREC 2023 Clinical Trials TrackGeorgios Peikos. [doi]
• Summarizing Social Media & News Streams for Crisis-related Events by Integrated Content-Graph Analysis: TREC-2023 CrisisFACTS TrackHossein Salemi, Yasas Senarath, Tarin Sultana Sharika, Anuridhi Gupta, Hemant Purohit. [doi]
• TREC2023 AToMiC OverviewJheng-Hong Yang, Carlos Lassance, Rafael Sampaio de Rezende, Krishna Srinivasan, Miriam Redi, Stéphane Clinchant, Jimmy Lin. [doi]
• Overview of the TREC 2023 Deep Learning TrackNick Craswell, Bhaskar Mitra 0001, Emine Yilmaz, Hossein A. Rahmani, Daniel Campos, Jimmy Lin, Ellen M. Voorhees, Ian Soboroff. [doi]
• Multimodal Learned Sparse Retrieval for Image Suggestion TaskThong Nguyen, Mariya Hendriksen, Andrew Yates. [doi]
• Naverloo @ TREC Deep Learning and Neuclir 2023: As Easy as Zero, One, Two, Three - Cascading Dual Encoders, Mono, Duo, and Listo for Ad-Hoc RetrievalCarlos Lassance, Ronak Pradeep, Jimmy Lin. [doi]
• LLM-based Retrieval and Generation Pipelines for TREC Interactive Knowledge Assistance Track (iKAT) 2023Zahra Abbasiantaeb, Chuan Meng, David Rau, Antonis Krasakis, Hossein A. Rahmani, Mohammad Aliannejadi. [doi]
• CIP at TREC Deep Learning Track 2023Xiaoyang Chen, Ben He, Le Sun 0001, Yingfei Sun. [doi]
• Query Expansion for Crisis EventsJack Cheverton, Sharon G. Small, Ting Liu 0003. [doi]
• Team IELAB at TREC Clinical Trial Track 2023: Enhancing Clinical Trial Retrieval with Neural Rankers and Large Language ModelsShengyao Zhuang, Bevan Koopman, Guido Zuccon. [doi]
• Leveraging OpenAI's Ada Embedding Model for Zero-Shot Classification at TREC 2023 Clinical TrialsLuke Richmond, Priya Deshpande. [doi]
• JBNU at TREC 2023 Product Search TrackGi-taek An, Woo-seok Choi, Jun-Yong Park, Kyung-Soon Lee. [doi]
• Team CMU-LTI at TREC 2023 Tip-of-the-Tongue TrackLuís Borges, Jamie Callan, Bruno Martins 0001. [doi]
• RALI@TREC iKAT 2023: Generative Query Reformulation for Conversational Information SeekingFengran Mo, Bole Yi, Jian-Yun Nie. [doi]
• BLADE: The University of Maryland at the TREC 2023 NeuCLIR TrackSuraj Nair 0001, Douglas W. Oard. [doi]
• Fast Extractive Summarization, Abstractive Summarization, and Hybrid Summarization for CrisisFACTS at TREC 2023Violet Burbank, John M. Conroy, Sean Lynch, Neil P. Molino, Julia S. Yang. [doi]
• Webis at TREC 2023: Tip-of-the-Tongue trackMaik Fröbe, Christine Brychcy, Elisa Kluge, Eric Oliver Schmidt, Matthias Hagen. [doi]
• Sequencing Matters: A Generate-Retrieve-Generate Model for Building Conversational AgentsQuinn Patwardhan, Grace Hui Yang. [doi]
• MALNIS and EMA3 @ TREC 2023 Clinical Trials TrackMozhgan Saeidi, Aman Jaiswal, Abhishek Dhankar, Alan Katz, Evangelos E. Milios. [doi]
• UWaterlooMDS at TREC 2023: Deep Learning Track and Tip-of-the-Tongue TrackDake Zhang. [doi]
• University of Tsukuba Team at the TREC 2023 Deep Learning TrackKaiyu Yang, Lingzhen Zheng, Haitao Yu 0003, Sumio Fujita, Hideo Joho. [doi]
• HLTCOE at TREC 2023 NeuCLIR TrackEugene Yang, Dawn J. Lawrie, James Mayfield. [doi]
• TMU at TREC Clinical Trials Track 2023Aritra Kumar Lahiri, Emrul Hasan, Qinmin Vivian Hu, Cherie Ding. [doi]
• Overview of the TREC 2023 Tip-of-the-Tongue TrackJaime Arguello, Samarth Bhargav, Fernando Diaz 0001, Evangelos Kanoulas, Bhaskar Mitra 0001. [doi]