| 2024 | Hierarchical Semantics Alignment for 3D Human Motion Retrieval. | Yang Yang, Haoyu Shi, Huaiwen Zhang |
| 2024 | Large Language Models for Tabular Data: Progresses and Future Directions. | Haoyu Dong, Zhiruo Wang |
| 2024 | GUITAR: Gradient Pruning toward Fast Neural Ranking. | Weijie Zhao, Shulong Tan, Ping Li |
| 2024 | Large Language Models can Accurately Predict Searcher Preferences. | Paul Thomas, Seth Spielman, Nick Craswell, Bhaskar Mitra |
| 2024 | Uncontextualized significance considered dangerous. | Nicola Ferro, Mark Sanderson |
| 2024 | Large Language Models for Intent-Driven Session Recommendations. | Zhu Sun, Hongyang Liu, Xinghua Qu, Kaidong Feng, Yan Wang, Yew Soon Ong |
| 2024 | Convex Feature Embedding for Face and Voice Association. | Jiwoo Kang, Taewan Kim, Young-Ho Park |
| 2024 | What Matters in a Measure? A Perspective from Large-Scale Search Evaluation. | Paul Thomas, Gabriella Kazai, Nick Craswell, Seth Spielman |
| 2024 | Multi-intent-aware Session-based Recommendation. | Minjin Choi, Hye-young Kim, Hyunsouk Cho, Jongwuk Lee |
| 2024 | Scalable Community Search over Large-scale Graphs based on Graph Transformer. | Yuxiang Wang, Xiaoxuan Gou, Xiaoliang Xu, Yuxia Geng, Xiangyu Ke, Tianxing Wu, Zhiyuan Yu, Runhuai Chen, Xiangying Wu |
| 2024 | Adaptive In-Context Learning with Large Language Models for Bundle Generation. | Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu |
| 2024 | CMCLRec: Cross-modal Contrastive Learning for User Cold-start Sequential Recommendation. | Xiaolong Xu, Hongsheng Dong, Lianyong Qi, Xuyun Zhang, Haolong Xiang, Xiaoyu Xia, Yanwei Xu, Wanchun Dou |
| 2024 | AgentIR: 1st Workshop on Agent-based Information Retrieval. | Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang |
| 2024 | Clinical Trial Retrieval via Multi-grained Similarity Learning. | Junyu Luo, Cheng Qian, Lucas Glass, Fenglong Ma |
| 2023 | XpmIR: A Modular Library for Learning to Rank and Neural IR Experiments. | Yuxuan Zong, Benjamin Piwowarski |
| 2023 | AdaMCL: Adaptive Fusion Multi-View Contrastive Learning for Collaborative Filtering. | Guanghui Zhu, Wang Lu, Chunfeng Yuan, Yihua Huang |
| 2023 | FINAL: Factorized Interaction Layer for CTR Prediction. | Jieming Zhu, Qinglin Jia, Guohao Cai, Quanyu Dai, Jingjie Li, Zhenhua Dong, Ruiming Tang, Rui Zhang |
| 2023 | Augmenting Passage Representations with Query Generation for Enhanced Cross-Lingual Dense Retrieval. | Shengyao Zhuang, Linjun Shou, Guido Zuccon |
| 2023 | RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. | Honglei Zhuang, Zhen Qin, Rolf Jagerman, Kai Hui, Ji Ma, Jing Lu, Jianmo Ni, Xuanhui Wang, Michael Bendersky |
| 2023 | Knowledge-refined Denoising Network for Robust Recommendation. | Xinjun Zhu, Yuntao Du, Yuren Mao, Lu Chen, Yujia Hu, Yunjun Gao |
| 2023 | Distributionally Robust Sequential Recommnedation. | Rui Zhou, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen |
| 2023 | Attention-guided Multi-step Fusion: A Hierarchical Fusion Network for Multimodal Recommendation. | Yan Zhou, Jie Guo, Hao Sun, Bin Song, Fei Richard Yu |
| 2023 | Semantic-enhanced Modality-asymmetric Retrieval for Online E-commerce Search. | Zhigong Zhou, Ning Ding, Xiaochuan Fan, Yue Shang, Yiming Qiu, Jingwei Zhuo, Zhiwei Ge, Songlin Wang, Lin Liu, Sulong Xu, Han Zhang |
| 2023 | Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering. | Huachi Zhou, Hao Chen, Junnan Dong, Daochen Zha, Chuang Zhou, Xiao Huang |
| 2023 | One Blade for One Purpose: Advancing Math Information Retrieval using Hybrid Search. | Wei Zhong, Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin |