Table of Contents

• Information Experiment: What Does Empirical Microeconomics Tell Us?Momoe Makino. 1 [doi]
• AU-RAG: Agent-based Universal Retrieval Augmented GenerationJisoo Jang, Wen-Syan Li. 2-11 [doi]
• Fine Tuning vs. Retrieval Augmented Generation for Less Popular KnowledgeHeydar Soudani, Evangelos Kanoulas, Faegheh Hasibi. 12-22 [doi]
• Mitigating Entity-Level Hallucination in Large Language ModelsWeihang Su, Yichen Tang, Qingyao Ai, Changyue Wang, Zhijing Wu 0001, Yiqun Liu 0001. 23-31 [doi]
• LLMs can be Fooled into Labelling a Document as Relevant: best café near me; this paper is perfectly relevantMarwah Alaofi, Paul Thomas 0001, Falk Scholer, Mark Sanderson. 32-41 [doi]
• Offline Evaluation of Set-Based Text-to-Image GenerationNegar Arabzadeh, Fernando Diaz, Junfeng He. 42-53 [doi]
• AI Can Be Cognitively Biased: An Exploratory Study on Threshold Priming in LLM-Based Batch Relevance AssessmentNuo Chen 0004, Jiqun Liu, Xiaoyu Dong, Qijiong Liu, Tetsuya Sakai, Xiao-Ming Wu 0003. 54-63 [doi]
• Evaluating Relative Retrieval Effectiveness with Normalized Residual GainAmin Bigdeli, Negar Arabzadeh, Ebrahim Bagheri, Charles L. A. Clarke. 64-71 [doi]
• Simulating Conversational Search Users with Parameterized BehaviorIvan Sekulic, Lili Lu, Navdeep Singh Bedi, Fabio Crestani. 72-81 [doi]
• Searching in Professional Instant Messaging Applications: User Behaviour, Intent, and Pain-pointsIsmail Sabei, Mahmoud Galal, Bevan Koopman, Guido Zuccon. 82-91 [doi]
• Can Users Detect Biases or Factual Errors in Generated Responses in Conversational Information-Seeking?Weronika Lajewska, Krisztian Balog, Damiano Spina, Johanne Trippas. 92-102 [doi]
• Investigating Users' Search Behavior and Outcome with ChatGPT in Learning-oriented Search TasksSijie Liu, Yuyang Hu, Zihang Tian, Zhe Jin, Shijin Ruan, Jiaxin Mao. 103-113 [doi]
• From Data Platforms to Knowledge InfrastructureSadao Kurohashi. 114 [doi]
• Pessimistic EvaluationFernando Diaz. 115-124 [doi]
• How do Ties Affect the Uncertainty in Rank-Biased Overlap?Matteo Corsi, Julián Urbano. 125-134 [doi]
• Rank-Biased Quality Measurement for Sets and RankingsAlistair Moffat, Joel Mackenzie, Antonio Mallia, Matthias Petri. 135-144 [doi]
• Timing of Aspect Suggestion to Encourage Diverse Information Acquisition in Spoken Conversational SearchKen Tobioka, Takehiro Yamamoto, Hiroaki Ohshima. 145-153 [doi]
• Generative Retrieval with Semantic Tree-Structured Identifiers and Contrastive LearningZihua Si, Zhongxiang Sun, Jiale Chen, Guozhang Chen, Xiaoxue Zang, Kai Zheng 0001, Yang Song 0008, Xiao Zhang 0034, Jun Xu 0001, Kun Gai. 154-163 [doi]
• It Takes a Team to Triumph: Collaborative Expert Finding in Community QA NetworksRoohollah Etemadi, Morteza ZiHayat, Kuan Feng, Jason Adelman, Fattane Zarrinkalam, Ebrahim Bagheri. 164-174 [doi]
• LeKUBE: A Knowledge Update BEnchmark for Legal DomainChangyue Wang, Weihang Su, Yiran Hu, Qingyao Ai, Yueyue Wu, Cheng Luo 0001, Yiqun Liu 0001, Min Zhang 0006, Shaoping Ma. 175-185 [doi]
• A Reproducibility and Generalizability Study of Large Language Models for Query GenerationMoritz Staudinger, Wojciech Kusa, Florina Piroi, Aldo Lipani, Allan Hanbury. 186-196 [doi]
• SimIIR 3: A Framework for the Simulation of Interactive and Conversational Information RetrievalLeif Azzopardi, Timo Breuer 0002, Björn Engelmann 0002, Christin Kreutz, Sean MacAvaney, David Maxwell 0001, Andrew Parry, Adam Roegiest, Xi Wang, Saber Zerhoudi. 197-202 [doi]
• Reproducible Hybrid Time-Travel Retrieval in Evolving CorporaMoritz Staudinger, Florina Piroi, Andreas Rauber. 203-208 [doi]
• Simple Transformers: Open-source for AllThilina Chaturanga Rajapakse, Andrew Yates, Maarten de Rijke. 209-215 [doi]
• Binary Interpolative Coding RevisitedAlistair Moffat. 216-225 [doi]
• Data-Efficient Massive Tool Retrieval: A Reinforcement Learning Approach for Query-Tool Alignment with Language ModelsYuxiang Zhang, Xin Fan, Junjie Wang, Chongxian Chen, Fan Mo, Tetsuya Sakai, Hayato Yamana. 226-235 [doi]
• Optimizing LLMs with Direct Preferences: A Data Efficiency PerspectivePietro Bernardelle, Gianluca Demartini. 236-240 [doi]
• Effect of Presentation Methods on User Experiences and Perception in VR Shopping Recommender SystemsYang Zhan, Tatsuo Nakajima. 241-248 [doi]
• Effect of LLM's Personality Traits on Query GenerationYuta Imasaka, Hideo Joho. 249-258 [doi]
• Understanding and Mitigating the Threat of Vec2Text to Dense Retrieval SystemsShengyao Zhuang, Bevan Koopman, Xiaoran Chu, Guido Zuccon. 259-268 [doi]
• Triple Augmented Generative Language Models for SPARQL Query Generation from Natural Language QuestionsJack Longwell, Mahdiyar Ali Akbar Alavi, Fattane Zarrinkalam, Faezeh Ensan. 269-273 [doi]
• Data Fusion of Synthetic Query Variants With Generative Large Language ModelsTimo Breuer 0002. 274-279 [doi]
• UnAnswGen: A Systematic Approach for Generating Unanswerable Questions in Machine Reading ComprehensionHadiseh Moradisani, Fattane Zarrinkalam, Julien Serbanescu, Zeinab Noorian. 280-286 [doi]
• Evaluating Cognitive Biases in Conversational and Generative IIR: A TutorialLeif Azzopardi, Jiqun Liu. 287-290 [doi]
• Query Performance Prediction: Techniques and Applications in Modern Information RetrievalNegar Arabzadeh, Chuan Meng, Mohammad Aliannejadi, Ebrahim Bagheri. 291-294 [doi]
• Paradigm Shifts in Team Recommendation: From Historical Subgraph Optimization to Emerging Graph Neural NetworkMahdis Saeedi, Christine Wong, Hossein Fani 0001. 295-298 [doi]
• Retrieval-Enhanced Machine Learning: Synthesis and OpportunitiesFernando Diaz, Andrew Drozdov, To Eun Kim, Alireza Salemi, Hamed Zamani. 299-302 [doi]
• Neural Lexical Search with Learned Sparse RetrievalAndrew Yates, Carlos Lassance, Sean MacAvaney, Thong Nguyen, Yibin Lei. 303-306 [doi]
• 3AG: First Workshop on Refined and Reliable Retrieval Augmented GenerationZihan Wang, Xuri Ge, Joemon M. Jose, Haitao Yu 0003, Weizhi Ma, Zhaochun Ren, Xin Xin 0003. 307-310 [doi]
• The First Workshop on Evaluation Methodologies, Testbeds and Community for Information Access Research (EMTCIR 2024)Makoto P. Kato, Noriko Kando, Charles L. A. Clarke, Yiqun Liu 0001. 311-314 [doi]
• The 1st Workshop on User Modelling in Conversational Information Retrieval (UM-CIR)Praveen Acharya, Gareth J. F. Jones, Xiao Fu 0007, Aldo Lipani, Fabio Crestani, Noriko Kando. 315-317 [doi]