List of Publications (by Year)
2026
- ConvMix: A Mixed-Criteria Data Augmentation Framework for Conversational Dense Retrieval.
Fengran Mo, Jinghan Zhang, Yuchen Hui, Jia Ao Sun, Zhichao Xu, Zhan Su, Jian-Yun Nie.
AAAI 2026 [preprint]
- Balancing Heterogeneous Knowledge Sources: Pareto-Based Multi-Teacher Distillation for MLPs on Graphs.
Wenrui Zhao, Yijun Tian, Zhichao Xu, Yawei Wang, Chuxu Zhang.
AAAI 2026 [preprint]
2025
- Rethinking On-policy Optimization for Query Augmentation.
Zhichao Xu et al.,
arXiv preprint [pdf]
- Beyond Correctness: Rewarding Faithful Reasoning in Retrieval-Augmented Generation.
Zhichao Xu*, Zongyu Wu*, et al.,
arXiv preprint [pdf]
- RECON: Reasoning with Condensation for Efficient Retrieval-Augmented Generation.
Zhichao Xu*, Minheng Wang*, et al.,
arXiv preprint [pdf]
- A Survey of Model Architectures for Information Retrieval.
Zhichao Xu, Fengran Mo, Zhiqi Huang, Crystina Zhang, Puxuan Yu, Bei Wang, Jimmy Lin and Vivek Srikumar.
arXiv preprint [pdf]
- TransactionGPT Technical Report.
Yingtong Dou, Zhimeng Jiang, Tianyi Zhang, Mingzhi Hu, Zhichao Xu, et al.,
arXiv preprint [pdf]
- A Comprehensive Survey on Reinforcement Learning-based Agentic Search: Foundations, Roles, Optimizations, Evaluations, and Applications.
Minhua Lin, Zongyu Wu, Zhichao Xu, Hui Liu, Xianfeng Tang, Qi He, Charu Aggarwal, Hui Liu, Xiang Zhang, Suhang Wang.
arXiv preprint [pdf]
- SALT: Step-level Advantage Assignment for Long-horizon Agents via Trajectory Graph
Jiazheng Li, Yawei Wang, David Yan, Yijun Tian, Zhichao Xu, Huan Song, Panpan Xu, Lin Lee Cheong.
arXiv preprint [pdf]
- Reinforcement Mid-Training.
Yijun Tian, Shaoyu Chen, Zhichao Xu, Yawei Wang, Jinhe Bi, Peng Han, Wei Wang.
arXiv preprint [pdf]
- Reinforcement Learning to Rank Using Coarse-grained Rewards.
Yiteng Tu, Zhichao Xu, Tao Yang, Weihang Su, Yujia Zhou, Yiqun Liu, Fen Lin, Qin Liu, Qingyao Ai.
arXiv preprint [pdf]
- CSPLADE: Learned Sparse Retrieval with Causal Language Models.
Zhichao Xu, Aosong Feng, Yijun Tian, Haibo Ding and Lin Lee Cheong.
IJCNLP-AACL 2025 Main [preprint]
- Found in Translation: Measuring Multilingual LLM Consistency as Simple as Translate then Evaluate.
Ashim Gupta, Maitrey Mehta, Zhichao Xu and Vivek Srikumar.
IJCNLP-AACL 2025 Main [preprint]
- Distillation versus Contrastive Learning: How to Train Your Rerankers.
Zhichao Xu, Zhiqi Huang, Shengyao Zhuang, and Vivek Srikumar.
IJCNLP-AACL 2025 Findings [preprint]
- IPR: Intelligent Prompt Routing with User-Controlled Quality-Cost Trade-offs.
Aosong Feng*, Balasubramaniam Srinivasan*, Yun Zhou*, Zhichao Xu*, et al.,
EMNLP 2025 Industry Track [pdf]
- SLOT: Structuring the Output of Large Language Models.
Darren Wang*, Zhengyuan Shen*, Soumya Mishra, Zhichao Xu, Yifei Teng and Haibo Ding.
EMNLP 2025 Industry Track [pdf]
- A Systematic Survey of Automatic Prompt Optimization Techniques.
Ramnath et al.,
EMNLP 2025 Main [pdf]
- MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation.
Chang et al.,
ACL 2025 Main [pdf]
- State Space Models are Strong Text Rerankers.
Zhichao Xu*, Jinghua Yan*, Ashim Gupta and Vivek Srikumar.
NAACL 2025 RepL4NLP Workshop [pdf]
2024
- RankMamba: Benchmarking Benchmarking Mamba's Document Ranking Performance in the Era of Transformers.
Zhichao Xu.
arXiv preprint [pdf]
- Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression.
Zhichao Xu, Ashim Gupta, Tao Li, Oliver Bentham and Vivek Srikumar.
Findings of EMNLP 2024 [pdf]
- Multi-dimensional Evaluation of Empathetic Dialogue Utterances.
Zhichao Xu and Jiepu Jiang.
Findings of EMNLP 2024 [pdf]
- Counterfactual Editing for Search Result Explanation.
Zhichao Xu, Hemank Lamba, Qingyao Ai, Joel Tetreault and Alex Jaimes.
ICTIR 2024 [pdf]
- Interaction-level Membership Inference Attack against Recommender Systems with Long-tailed Distribution.
Da Zhong, Xiuling Wang, Zhichao Xu, Jun Xu, Wendy Hui Wang.
CIKM 2024 [pdf]
- In-Context Example Ordering Guided by Label Distributions.
Zhichao Xu, Daniel Cohen, Bei Wang and Vivek Srikumar.
Findings of NAACL 2024 [pdf]
- An In-depth Investigation of User Simulation for Conversational Search.
Zhenduo Wang, Zhichao Xu, Qingyao Ai and Vivek Srikumar.
TheWebConf 2024 [pdf]
2023
- Context-aware Decoding Reduces Hallucination in Query-focused Summarization.
Zhichao Xu.
arXiv preprint [pdf]
- A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability.
Zhichao Xu, Hansi Zeng, Juntao Tan, Zuohui Fu, Yongfeng Zhang and Qingyao Ai.
ACM Transactions on Information Systems (TOIS) [pdf]
- Automated Generation of Security-centric Descriptions for Smart Contract Bytecode.
Yu Pan, Zhichao Xu, Levi Taiji Li, Yunhe Yang and Mu Zhang.
ISSTA 2023 [pdf] Distinguished Paper Award
- A Lightweight Constrained Generation Alternative for Query-focused Summarization.
Zhichao Xu and Daniel Cohen.
SIGIR 2023 [pdf]
- FARA, Future-aware Ranking Algorithm for Fairness Optimization.
Tao Yang, Zhichao Xu, Zhenduo Wang and Qingyao Ai.
CIKM 2023 [pdf]
- Marginal-Certainty-aware Fair Ranking Algorithm.
Tao Yang, Zhichao Xu, Zhenduo Wang, Anh Tran and Qingyao Ai.
WSDM 2023 [pdf]
- Vertical Allocation-based Fair Exposure Amortizing in Ranking.
Tao Yang, Zhichao Xu and Qingyao Ai.
SIGIR AP 2023 [pdf] Best Paper Finalist
Prior to 2023
- Learning to Rank Rationales for Explainable Recommendation.
Zhichao Xu, Yi Han, Tao Yang, Anh Tran and Qingyao Ai.
arXiv preprint [pdf]
- Understanding the Effectiveness of Reviews in E-commerce Recommendation.
Zhichao Xu, Hansi Zeng and Qingyao Ai.
ICTIR 2021 [pdf]
- A Zero Attentative Relevance Matching Network for Review Modeling in Recommnder System.
Hansi Zeng, Zhichao Xu and Qingyao Ai.
ECIR 2021 [pdf]
- E-commerce Recommendation with Weighted Expected Utility.
Zhichao Xu, Yi Han, Yongfeng Zhang and Qingyao Ai.
CIKM 2020 [pdf]
- Speech-based Activity Recognition for Trauma Resuscatation.
Jalal Abdulbaqi, Yue Gu, Zhichao Xu, Chenyang Gao, Ivan Marsic and Randall Burd.
ICHI 2020 [pdf]