Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers. Yu Wang, Shengyao Zhuang, Xueguang Ma, Zongyu Wu, Jimmy Lin, Vivek Srikumar, and Zhichao Xu. SIGIR-AP 2026↗ Preprint
Tevatron Meets Megatron: Expert-Parallel LLM Reranker Training on an Academic Budget. Zhichao Xu, Xueguang Ma, Shengyao Zhuang, Luyu Gao, Wenqian Ye, Yu Wang, Jamie Callan, and Jimmy Lin. SIGIR-AP 2026↗ Preprint
VerTox: Verifiable Reward-Guided Corpus Poisoning Against Neural Ranking Models. Zhiqi Huang, Vivek Datla, Zhichao Xu, Puxuan Yu, Vivek Srikumar, and Alfy Samuel. EMNLP 2026 Main ↗ Preprint
CLEAR: Context Augmentation from Contrastive Learning of Experience via Agentic Reflection. Lingbo Liu, Guande Wu, Han Ding, Yawei Wang, Qiang Zhou, Yuzhe Lu, Zhichao Xu, Huan Song, Panpan Xu, and Lin Lee Cheong. EMNLP 2026 Main ↗ Preprint
Defragmenting Language Models: An Interpretability-based Approach for Vocabulary Expansion. Maitrey Mehta, Nishant Subramani, Zhichao Xu, Ashim Gupta, and Vivek Srikumar. COLM 2026 ↗ Preprint
LACONIC: Dense-Level Effectiveness for Scalable Sparse Retrieval via a Two-Phase Training Curriculum. Zhichao Xu, Shengyao Zhuang, Crystina Zhang, Xueguang Ma, Yijun Tian, Maitrey Mehta, Jimmy Lin, and Vivek Srikumar. SIGIR 2026↗ Paper
Layer-wise Token Compression for Efficient Document Reranking. Shengyao Zhuang, Zhichao Xu, and Ivano Lauriola. SIGIR 2026↗ Paper
Rethinking On-policy Optimization for Query Augmentation. Zhichao Xu, Shengyao Zhuang, Xueguang Ma, Bingsen Chen, Yijun Tian, Fengran Mo, Tao Li, Jie Cao, and Vivek Srikumar TMLR 2026↗ Paper
Beyond Correctness: Rewarding Faithful Reasoning in Retrieval-Augmented Generation. Zhichao Xu*, Zongyu Wu*, Yun Zhou, Aosong Feng, Kang Zhou, Sangmin Woo, Kiran Ramnath, Yijun Tian, Xuan Qi, Weikang Qiu, Lin Lee Cheong, and Haibo Ding. TMLR 2026↗ Paper
A Survey of Model Architectures for Information Retrieval. Zhichao Xu, Fengran Mo, Zhiqi Huang, Crystina Zhang, Puxuan Yu, Bei Wang, Jimmy Lin, Vivek Srikumar. TMLR 2026↗ Paper
PERSONAJUDGE: Simulating Individual Human Preference Judgments with Human-Centered Demonstration Data. Zeyu He, Xuan Qi, Subramanian Chidambaram, Zhichao Xu, Vinayak Arannil, Lydia Chilton, Alex C. Williams SIGDIAL 2026↗ Paper
Beyond Supervised Clarification: Input Rewriting with LLMs for Dialogue Discourse Parsing. Yiming Liu, Ziyue Zhang, Zhichao Xu, Xin Yu, Yingheng Tang, Tianyu Jiang, and Jie Cao SIGDIAL 2026↗ Paper
Teaching People LLM's Errors and Getting it Right. Nathan Stringham, Fateme Hashemi Chaleshtori, Xinyuan Yan, Zhichao Xu, Bei Wang, and Ana Marasovic. TrustNLP 2026 ↗ Paper
Learning to Ideate for Machine Learning Engineering Agents. Yunxiang Zhang, Kang Zhou, Zhichao Xu, Kiran Ramnath, Yun Zhou, Sangmin Woo, Haibo Ding, Lin Lee Cheong. EACL 2026 Main ↗ Paper
BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation Bo Yuan, Yun Zhou, Zhichao Xu, Kiran Ramnath, Aosong Feng, Balasubramaniam Srinivasan. EACL 2026 Findings ↗ Paper
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. EACL 2026 Findings ↗ Paper
Diffusion Language Model Inference with Monte Carlo Tree Search Zheng Huang, Kiran Ramnath, Yueyan Chen, Aosong Feng, Sangmin Woo, Balasubramaniam Srinivasan, Zhichao Xu, Kang Zhou, Shuai Wang, Haibo Ding, and Lin Lee Cheong. EACL 2026 Findings ↗ Paper
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 ↗ Paper
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 ↗ Paper
2025
RECON: Reasoning with Condensation for Efficient Retrieval-Augmented Generation. Zhichao Xu*, Minheng Wang*, et al., arXiv preprint ↗ Paper
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 ↗ Paper
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 ↗ Paper
CSPLADE: Learned Sparse Retrieval with Causal Language Models. Zhichao Xu, Aosong Feng, Yijun Tian, Haibo Ding and Lin Lee Cheong. IJCNLP-AACL 2025 Main↗ Paper
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↗ Paper
Distillation versus Contrastive Learning: How to Train Your Rerankers. Zhichao Xu, Zhiqi Huang, Shengyao Zhuang, and Vivek Srikumar. IJCNLP-AACL 2025 Findings↗ Paper
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↗ Paper
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↗ Paper
A Systematic Survey of Automatic Prompt Optimization Techniques. Ramnath et al., EMNLP 2025 Main↗ Paper
MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation. Chang et al., ACL 2025 Main↗ Paper
State Space Models are Strong Text Rerankers. Zhichao Xu*, Jinghua Yan*, Ashim Gupta and Vivek Srikumar. RepL4NLP 2025 ↗ Paper
2024
RankMamba: Benchmarking Benchmarking Mamba's Document Ranking Performance in the Era of Transformers. Zhichao Xu. arXiv preprint ↗ Paper
Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression. Zhichao Xu, Ashim Gupta, Tao Li, Oliver Bentham and Vivek Srikumar. Findings of EMNLP 2024↗ Paper
Multi-dimensional Evaluation of Empathetic Dialogue Utterances. Zhichao Xu and Jiepu Jiang. Findings of EMNLP 2024↗ Paper
Counterfactual Editing for Search Result Explanation. Zhichao Xu, Hemank Lamba, Qingyao Ai, Joel Tetreault and Alex Jaimes. ICTIR 2024↗ Paper
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↗ Paper
In-Context Example Ordering Guided by Label Distributions. Zhichao Xu, Daniel Cohen, Bei Wang and Vivek Srikumar. Findings of NAACL 2024↗ Paper
An In-depth Investigation of User Simulation for Conversational Search. Zhenduo Wang, Zhichao Xu, Qingyao Ai and Vivek Srikumar. TheWebConf 2024↗ Paper
2023
Context-aware Decoding Reduces Hallucination in Query-focused Summarization. Zhichao Xu. arXiv preprint ↗ Paper
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) ↗ Paper
Automated Generation of Security-centric Descriptions for Smart Contract Bytecode. Yu Pan, Zhichao Xu, Levi Taiji Li, Yunhe Yang and Mu Zhang. ISSTA 2023↗ PaperDistinguished Paper Award
A Lightweight Constrained Generation Alternative for Query-focused Summarization. Zhichao Xu and Daniel Cohen. SIGIR 2023↗ Paper
FARA, Future-aware Ranking Algorithm for Fairness Optimization. Tao Yang, Zhichao Xu, Zhenduo Wang and Qingyao Ai. CIKM 2023↗ Paper
Marginal-Certainty-aware Fair Ranking Algorithm. Tao Yang, Zhichao Xu, Zhenduo Wang, Anh Tran and Qingyao Ai. WSDM 2023↗ Paper
Vertical Allocation-based Fair Exposure Amortizing in Ranking. Tao Yang, Zhichao Xu and Qingyao Ai. SIGIR AP 2023↗ PaperBest 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 ↗ Paper
Understanding the Effectiveness of Reviews in E-commerce Recommendation. Zhichao Xu, Hansi Zeng and Qingyao Ai. ICTIR 2021↗ Paper
A Zero Attentative Relevance Matching Network for Review Modeling in Recommnder System. Hansi Zeng, Zhichao Xu and Qingyao Ai. ECIR 2021↗ Paper
E-commerce Recommendation with Weighted Expected Utility. Zhichao Xu, Yi Han, Yongfeng Zhang and Qingyao Ai. CIKM 2020↗ Paper
Speech-based Activity Recognition for Trauma Resuscatation. Jalal Abdulbaqi, Yue Gu, Zhichao Xu, Chenyang Gao, Ivan Marsic and Randall Burd. ICHI 2020↗ Paper