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SIGIR-AP 2023: Beijing, China
- Qingyao Ai, Yiqin Liu, Alistair Moffat, Xuanjing Huang, Tetsuya Sakai, Justin Zobel:
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. ACM 2023
Session 1: Conversational Search
- Shiyu Ni
, Keping Bi
A Comparative Study of Training Objectives for Clarification Facet Generation. 1-10 - Siqing Huo
Retrieving Supporting Evidence for Generative Question Answering. 11-20 - Siqi Gao
Recommending Answers to Math Questions Based on KL-Divergence and Approximate XML Tree Matching. 21-31 - Yiyao Yu
EALM: Introducing Multidimensional Ethical Alignment in Conversational Information Retrieval. 32-39 - Rikiya Takehi
Open-Domain Dialogue Quality Evaluation: Deriving Nugget-level Scores from Turn-level Scores. 40-45 - Guido Zuccon
ChatGPT Hallucinates when Attributing Answers. 46-51
Session 2: Domains and Applications
- Yifei Yuan
Multimodal Fashion Knowledge Extraction as Captioning. 52-62 - Zhumin Chu
Chuweb21D: A Deduped English Document Collection for Web Search Tasks. 63-72 - Shuai Wang
Generating Natural Language Queries for More Effective Systematic Review Screening Prioritisation. 73-83 - Xiaoyue Zhang
Examination of Information Problem Decomposition Strategies: A New Perspective for Understanding Users' Information Problems in Search as Learning. 84-94 - Rajeev Verma
ReviVal: Towards Automatically Evaluating the Informativeness of Peer Reviews. 95-103 - Ming Li
User-Meal Interaction Learning for Meal Recommendation: A Reproducibility Study. 104-113
Session 3: Learning and Ranking
- Zhongyuan Han
RFR: Representation-Focused Replay for Overcoming the Catastrophic Forgetting in Lifelong Language Learning. 114-121 - Tesi Xiao
Towards Sequential Counterfactual Learning to Rank. 122-128 - Haiyuan Zhao
Unbiased Top-$k$ Learning to Rank with Causal Likelihood Decomposition. 129-138 - Sophia Althammer
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection. 139-149 - Xueguang Ma
Enhancing Sparse Retrieval via Unsupervised Learning. 150-157
Session 4: Legal Search and Indexing
- Ruizhe Zhang
Result Diversification for Legal case Retrieval. 158-168 - Beining Wang
Investigating the Influence of Legal Case Retrieval Systems on Users' Decision Process. 169-175 - Youchao Zhou
Boosting legal case retrieval by query content selection with large language models. 176-184 - Joel Mackenzie
Lossy Compression Options for Dense Index Retention. 185-194 - Wenyue Hua
How to Index Item IDs for Recommendation Foundation Models. 195-204
Session 5: Neural Search and Fairness
- Xiaoyu Tan
Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction. 205-211 - Shengyao Zhuang
Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval. 212-222 - Ekaterina Khramtsova
Selecting which Dense Retriever to use for Zero-Shot Search. 223-233 - Tao Yang
Vertical Allocation-based Fair Exposure Amortizing in Ranking. 234-244 - Hengchang Hu
Automatic Feature Fairness in Recommendation via Adversaries. 245-252
Session 6: Recommendation
- Weiqi Shao
Sequential Recommendation with User Evolving Preference Decomposition. 253-263 - Yosuke Saito
Multi-Behavior Job Recommendation with Dynamic Availability. 264-271 - Yi Yu
AdaReX: Cross-Domain, Adaptive, and Explainable Recommender System. 272-281 - Sirui Chen
Reinforcement Re-ranking with 2D Grid-based Recommendation Panels. 282-287 - Pranav Kasela
SE-PEF: a Resource for Personalized Expert Finding. 288-309
Tutorials
- Yubao Tang
Recent Advances in Generative Information Retrieval. 294-297 - Yang Deng
Rethinking Conversational Agents in the Era of LLMs: Proactivity, Non-collaborativity, and Beyond. 298-301 - Krisztian Balog, ChengXiang Zhai:
Rethinking Conversational Agents in the Era of LLMs: Proactivity, Non-collaborativity, and Beyond. 302-305 - Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He:
Large Language Models for Recommendation: Progresses and Future Directions. 306-309
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