SIGIR-AP

Keyphrases

Publications

2023

Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke
Recent Advances in Generative Information Retrieval. SIGIR-AP (2023)
Siqi Gao, Yiu-Kai Dennis Ng
Recommending Answers to Math Questions Based on KL-Divergence and Approximate XML Tree Matching. SIGIR-AP (2023)
Yifei Yuan, Wenxuan Zhang, Yang Deng, Wai Lam
Multimodal Fashion Knowledge Extraction as Captioning. SIGIR-AP (2023)
Zhumin Chu, Tetsuya Sakai, Qingyao Ai, Yiqun Liu
Chuweb21D: A Deduped English Document Collection for Web Search Tasks. SIGIR-AP (2023)
Xueguang Ma, Hengxin Fun, Xusen Yin, Antonio Mallia, Jimmy Lin
Enhancing Sparse Retrieval via Unsupervised Learning. SIGIR-AP (2023)
Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen
Unbiased Top-$k$ Learning to Rank with Causal Likelihood Decomposition. SIGIR-AP (2023)
Sophia Althammer, Guido Zuccon, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection. SIGIR-AP (2023)
Guido Zuccon, Bevan Koopman, Razia Shaik
ChatGPT Hallucinates when Attributing Answers. SIGIR-AP (2023)
Rajeev Verma, Tirthankar Ghosal, Saprativa Bhattacharjee, Asif Ekbal, Pushpak Bhattacharyya
ReviVal: Towards Automatically Evaluating the Informativeness of Peer Reviews. SIGIR-AP (2023)
Pranav Kasela, Gabriella Pasi, Raffaele Perego
SE-PEF: a Resource for Personalized Expert Finding. SIGIR-AP (2023)
Ruizhe Zhang, Qingyao Ai, Yueyue Wu, Yixiao Ma, Yiqun Liu
Result Diversification for Legal case Retrieval. SIGIR-AP (2023)
Sirui Chen, Xiao Zhang, Xu Chen, Zhiyu Li, Yuan Wang, Quan Lin, Jun Xu
Reinforcement Re-ranking with 2D Grid-based Recommendation Panels. SIGIR-AP (2023)
Yang Deng, Wenqiang Lei, Minlie Huang, Tat-Seng Chua
Rethinking Conversational Agents in the Era of LLMs: Proactivity, Non-collaborativity, and Beyond. SIGIR-AP (2023)
Ekaterina Khramtsova, Shengyao Zhuang, Mahsa Baktashmotlagh, Xi Wang, Guido Zuccon
Selecting which Dense Retriever to use for Zero-Shot Search. SIGIR-AP (2023)
Youchao Zhou, Heyan Huang, Zhijing Wu
Boosting legal case retrieval by query content selection with large language models. SIGIR-AP (2023)
Tesi Xiao, Branislav Kveton, Sumeet Katariya, Tanmay Gangwani, Anshuka Rangi
Towards Sequential Counterfactual Learning to Rank. SIGIR-AP (2023)
Beining Wang, Ruizhe Zhang, Yueyue Wu, Qingyao Ai, Min Zhang, Yiqun Liu
Investigating the Influence of Legal Case Retrieval Systems on Users' Decision Process. SIGIR-AP (2023)
Shengyao Zhuang, Linjun Shou, Jian Pei, Ming Gong, Houxing Ren, Guido Zuccon, Daxin Jiang
Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval. SIGIR-AP (2023)
Xiaoyu Tan, Yongxin Deng, Chao Qu, Siqiao Xue, Xiaoming Shi, James Zhang, Xihe Qiu
Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction. SIGIR-AP (2023)
Yi Yu, Kazunari Sugiyama, Adam Jatowt
AdaReX: Cross-Domain, Adaptive, and Explainable Recommender System. SIGIR-AP (2023)
Shuai Wang, Harrisen Scells, Bevan Koopman, Martin Potthast, Guido Zuccon
Generating Natural Language Queries for More Effective Systematic Review Screening Prioritisation. SIGIR-AP (2023)
Joel Mackenzie, Alistair Moffat
Lossy Compression Options for Dense Index Retention. SIGIR-AP (2023)
Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Jingsen Zhang, Dawei Yin
Sequential Recommendation with User Evolving Preference Decomposition. SIGIR-AP (2023)
Ming Li, Lin Li, Xiaohui Tao, Ning Zhong
User-Meal Interaction Learning for Meal Recommendation: A Reproducibility Study. SIGIR-AP (2023)
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, SIGIR-AP 2023, Beijing, China, November 26-28, 2023 SIGIR-AP (2023)
Keqin Bao, Jizhi Zhang, Yang Zhang, Wang Wenjie, Fuli Feng, Xiangnan He
Large Language Models for Recommendation: Progresses and Future Directions. SIGIR-AP (2023)
Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng
A Comparative Study of Training Objectives for Clarification Facet Generation. SIGIR-AP (2023)
Xiaoyue Zhang, Chang Liu
Examination of Information Problem Decomposition Strategies: A New Perspective for Understanding Users' Information Problems in Search as Learning. SIGIR-AP (2023)
Wenyue Hua, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang
How to Index Item IDs for Recommendation Foundation Models. SIGIR-AP (2023)
Zhongyuan Han, Zeyang Peng, Leilei Kong, Zhanhong Ye, Mingjie Huang, Haoliang Qi
RFR: Representation-Focused Replay for Overcoming the Catastrophic Forgetting in Lifelong Language Learning. SIGIR-AP (2023)
Krisztian Balog, ChengXiang Zhai
Rethinking Conversational Agents in the Era of LLMs: Proactivity, Non-collaborativity, and Beyond. SIGIR-AP (2023)
Hengchang Hu, Yiming Cao, Zhankui He, Samson Tan, Min-Yen Kan
Automatic Feature Fairness in Recommendation via Adversaries. SIGIR-AP (2023)
Rikiya Takehi, Akihisa Watanabe, Tetsuya Sakai
Open-Domain Dialogue Quality Evaluation: Deriving Nugget-level Scores from Turn-level Scores. SIGIR-AP (2023)
Siqing Huo, Negar Arabzadeh, Charles L. A. Clarke
Retrieving Supporting Evidence for Generative Question Answering. SIGIR-AP (2023)
Tao Yang, Zhichao Xu, Qingyao Ai
Vertical Allocation-based Fair Exposure Amortizing in Ranking. SIGIR-AP (2023)
Yiyao Yu, Junjie Wang, Yuxiang Zhang, Lin Zhang, Yujiu Yang, Tetsuya Sakai
EALM: Introducing Multidimensional Ethical Alignment in Conversational Information Retrieval. SIGIR-AP (2023)
Yosuke Saito, Kazunari Sugiyama
Multi-Behavior Job Recommendation with Dynamic Availability. SIGIR-AP (2023)