| 2024 | Leveraging User Simulation to Develop and Evaluate Conversational Information Access Agents. | Nolwenn Bernard |
| 2024 | WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society. | Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang |
| 2024 | MAD: Multi-Scale Anomaly Detection in Link Streams. | Esteban Bautista, Laurent Brisson, Ccile Bothorel, Grgory Smits |
| 2024 | LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting. | Yimeng Bai, Yang Zhang, Jing Lu, Jianxin Chang, Xiaoxue Zang, Yanan Niu, Yang Song, Fuli Feng |
| 2024 | Introduction to Responsible AI. | Ricardo Baeza-Yates |
| 2024 | IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification. | Abdullah Alsuhaibani, Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu |
| 2024 | Some Useful Things to Know When Combining IR and NLP: The Easy, the Hard and the Ugly. | Omar Alonso, Kenneth Church |
| 2024 | Practical Bandits: An Industry Perspective. | Bram van den Akker, Olivier Jeunen, Ying Li, Ben London, Zahra Nazari, Devesh Parekh |
| 2024 | Let the LLMs Talk: Simulating Human-to-Human Conversational QA via Zero-Shot LLM-to-LLM Interactions. | Zahra Abbasiantaeb, Yifei Yuan, Evangelos Kanoulas, Mohammad Aliannejadi |
| 2024 | Real-time E-bike Route Planning with Battery Range Prediction. | Zhao Li, Guoqi Ren, Yongchun Gu, Siwei Zhou, Xuanwu Liu, Jiaming Huang, Ming Li |
| 2024 | DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting. | Tianyu Fu, Chiyue Wei, Yu Wang, Rex Ying |
| 2024 | On the Effectiveness of Unlearning in Session-Based Recommendation. | Xin Xin, Liu Yang, Ziqi Zhao, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren |
| 2024 | Unlocking Human Curiosity. | Elizabeth Reid |
| 2024 | TTC-QuAli: A Text-Table-Chart Dataset for Multimodal Quantity Alignment. | Haoyu Dong, Haochen Wang, Anda Zhou, Yue Hu |
| 2024 | Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding. | Ya-Lin Zhang, Caizhi Tang, Lu Yu, Jun Zhou, Longfei Li, Qing Cui, Fangfang Fan, Linbo Jiang, Xiaosong Zhao |
| 2024 | Unbiased Learning to Rank: On Recent Advances and Practical Applications. | Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis |
| 2023 | AutoGen: An Automated Dynamic Model Generation Framework for Recommender System. | Chenxu Zhu, Bo Chen, Huifeng Guo, Hang Xu, Xiangyang Li, Xiangyu Zhao, Weinan Zhang, Yong Yu, Ruiming Tang |
| 2023 | ElasticDL: A Kubernetes-native Deep Learning Framework with Fault-tolerance and Elastic Scheduling. | Jun Zhou, Ke Zhang, Feng Zhu, Qitao Shi, Wenjing Fang, Lin Wang, Yi Wang |
| 2023 | Inductive Graph Transformer for Delivery Time Estimation. | Xin Zhou, Jinglong Wang, Yong Liu, Xingyu Wu, Zhiqi Shen, Cyril Leung |
| 2023 | Long-Document Cross-Lingual Summarization. | Shaohui Zheng, Zhixu Li, Jiaan Wang, Jianfeng Qu, An Liu, Lei Zhao, Zhigang Chen |
| 2023 | Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization. | Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li |
| 2023 | Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking. | Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen |
| 2023 | Towards Faithful and Consistent Explanations for Graph Neural Networks. | Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang |
| 2023 | Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts. | Yu Zhang, Yunyi Zhang, Martin Michalski, Yucheng Jiang, Yu Meng, Jiawei Han |
| 2023 | Reducing the Bias of Visual Objects in Multimodal Named Entity Recognition. | Xin Zhang, Jingling Yuan, Lin Li, Jianquan Liu |