List of Publications (by Year)
2025
- Yiteng Tu, Zhichao Xu, Tao Yang, Weihang Su, Yujia Zhou, Yiqun Liu, Fen Lin, Qin Liu, Qingyao Ai. Reinforcement Learning to Rank Using Coarse-grained Rewards. arXiv preprint [pdf]
- Fengran Mo, Jinghan Zhang, Yuchen Hui, Jia Ao Sun, Zhichao Xu, Zhan Su, Jian-Yun Nie. ConvMix: A Mixed-Criteria Data Augmentation Framework for Conversational Dense Retrieval. arXiv preprint [pdf]
- Zhichao Xu, Zhiqi Huang, Shengyao Zhuang, and Vivek Srikumar. Distillation versus Contrastive Learning: How to Train Your Rerankers. arXiv preprint [pdf]
- Ashim Gupta, Maitrey Mehta, Zhichao Xu and Vivek Srikumar. Found in Translation: Measuring Multilingual LLM Consistency as Simple as Translate then Evaluate. arXiv preprint [pdf]
- Darren Wang*, Zhengyuan Shen*, Soumya Mishra, Zhichao Xu, Yifei Teng and Haibo Ding. SLOT: Structuring the Output of Large Language Models. arXiv preprint [pdf]
- Zhichao Xu, Aosong Feng, Yijun Tian, Haibo Ding and Lin Lee Cheong. CSPLADE: Learned Sparse Retrieval with Causal Language Models. arXiv preprint [pdf]
- Zhichao Xu, Fengran Mo, Zhiqi Huang, Crystina Zhang, Puxuan Yu, Bei Wang, Jimmy Lin and Vivek Srikumar. A Survey of Model Architectures for Information Retrieval.
arXiv preprint [pdf]
- Ramnath et al., A Systematic Survey of Automatic Prompt Optimization Techniques.
in EMNLP 2025 Main [pdf]
- Chang et al., MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation.
in ACL 2025 Main [pdf]
- Zhichao Xu*, Jinghua Yan*, Ashim Gupta and Vivek Srikumar. State Space Models are Strong Text Rerankers. NAACL 2025 RepL4NLP Workshop [pdf]
2024
- Zhichao Xu. RankMamba: Benchmarking Benchmarking Mamba's Document Ranking Performance in the Era of Transformers. arXiv preprint [pdf]
- Zhichao Xu, Ashim Gupta, Tao Li, Oliver Bentham and Vivek Srikumar. Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression. in Findings of EMNLP 2024 [pdf]
- Zhichao Xu and Jiepu Jiang. Multi-dimensional Evaluation of Empathetic Dialogue Utterances. in Findings of EMNLP 2024 [pdf]
- Zhichao Xu, Hemank Lamba, Qingyao Ai, Joel Tetreault and Alex Jaimes. Counterfactual Editing for Search Result Explanation. in proceedings of 14th International Conference on the Theory of Information Retrieval (ICTIR 2024) [pdf]
- Da Zhong, Xiuling Wang, Zhichao Xu, Jun Xu, Wendy Hui Wang. Interaction-level Membership Inference Attack against Recommender Systems with Long-tailed Distribution. in proceedings of the 33rd International Conference on Information and Knowledge Management (CIKM 2024) [pdf]
- Zhichao Xu, Daniel Cohen, Bei Wang and Vivek Srikumar. In-Context Example Ordering Guided by Label Distributions. in Findings of NAACL 2024 [pdf]
- Zhenduo Wang, Zhichao Xu, Qingyao Ai and Vivek Srikumar. An In-depth Investigation of User Simulation for Conversational Search. in proceedings of TheWebConf 2024 [pdf]
2023
- Zhichao Xu. Context-aware Decoding Reduces Hallucination in Query-focused Summarization. arXiv preprint [pdf]
- Zhichao Xu, Hansi Zeng, Juntao Tan, Zuohui Fu, Yongfeng Zhang and Qingyao Ai. A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability. ACM Transactions on Information Systems (TOIS) [pdf]
- Yu Pan, Zhichao Xu, Levi Taiji Li, Yunhe Yang and Mu Zhang. Automated Generation of Security-centric Descriptions for Smart Contract Bytecode. in proceedings of The 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2023) [pdf] Distinguished Paper Award
- Zhichao Xu and Daniel Cohen. A Lightweight Constrained Generation Alternative for Query-focused Summarization. in proceedings of The 46th ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023) [pdf]
- Tao Yang, Zhichao Xu, Zhenduo Wang and Qingyao Ai. FARA, Future-aware Ranking Algorithm for Fairness Optimization. in proceedings of 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023) [pdf]
- Tao Yang, Zhichao Xu, Zhenduo Wang, Anh Tran and Qingyao Ai. Marginal-Certainty-aware Fair Ranking Algorithm. in proceedings of the 16th ACM International Conference on Web Search and Data Mining. (WSDM 2023) [pdf]
- Tao Yang, Zhichao Xu and Qingyao Ai. Vertical Allocation-based Fair Exposure Amortizing in Ranking. in proceedings of the 1st International ACM SIGIR Conference on Information Retrieval in the Asia Pacific (SIGIR AP 2023) [pdf] Best Paper Finalist
Prior to 2023
- Zhichao Xu, Yi Han, Tao Yang, Anh Tran and Qingyao Ai. Learning to Rank Rationales for Explainable Recommendation. arXiv preprint [pdf]
- Zhichao Xu, Hansi Zeng and Qingyao Ai. Understanding the Effectiveness of Reviews in E-commerce Recommendation. in proceedings of 11th International Conference on the Theory of Information Retrieval (ICTIR 2021) [pdf]
- Hansi Zeng, Zhichao Xu and Qingyao Ai. A Zero Attentative Relevance Matching Network for Review Modeling in Recommnder System. in proceedings of 43rd European Conference on Information Retrieval (ECIR 2021) [pdf]
- Zhichao Xu, Yi Han, Yongfeng Zhang and Qingyao Ai. E-commerce Recommendation with Weighted Expected Utility. in proceedings of 29th International Conference on Information and Knowledge Management (CIKM 2020) [pdf]
- Jalal Abdulbaqi, Yue Gu, Zhichao Xu, Chenyang Gao, Ivan Marsic and Randall Burd. Speech-based Activity Recognition for Trauma Resuscatation. in proceedings of 8th IEEE Conference on Health Informatics (ICHI 2020) [pdf]