Zhichao Xu

According to our database, Zhichao Xu authored at least 52 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Sober Look at Agentic Misalignment in Automated Workflows.

Wenqian Ye, Bo Yuan, Zhichao Xu, Yijun Tian, Yawei Wang, Henry Kautz, Aidong Zhang

CoRR, May, 2026

Layer-wise Token Compression for Efficient Document Reranking.

Shengyao Zhuang, Zhichao Xu, Ivano Lauriola

CoRR, May, 2026

An Empirical Study of Automating Agent Evaluation.

Kang Zhou, Sangmin Woo, Haibo Ding, Kiran Ramnath, Subramanian Chidambaram, Aosong Feng, Vinayak Arannil, Muhyun Kim, Ishan Singh, Darren Yow-Bang Wang, Zhichao Xu, Megha Gandhi, Nirmal Prabhu, Soumya Smruti Mishra, Vivek Singh, Gouri Pandeshwar, Lin Lee Cheong

CoRR, May, 2026

Defragmenting Language Models: An Interpretability-based Approach for Vocabulary Expansion.

Maitrey Mehta, Nishant Subramani, Zhichao Xu, Ashim Gupta, Vivek Srikumar

CoRR, April, 2026

CLEAR: Context Augmentation from Contrastive Learning of Experience via Agentic Reflection.

Linbo Liu, Guande Wu, Han Ding, Yawei Wang, Qiang Zhou, Yuzhe Lu, Zhichao Xu, Huan Song, Panpan Xu, Lin Lee Cheong

CoRR, April, 2026

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, Vivek Srikumar

CoRR, January, 2026

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, Haibo Ding

Trans. Mach. Learn. Res., 2026

A Survey of Model Architectures in Information Retrieval.

Zhichao Xu, Fengran Mo, Zhiqi Huang, Crystina Zhang, Puxuan Yu, Bei Wang Phillips, Jimmy Lin, Vivek Srikumar

Trans. Mach. Learn. Res., 2026

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

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation.

Bo Yuan, Yun Zhou, Zhichao Xu, Kiran Ramnath, Aosong Feng, Balasubramaniam Srinivasan

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

SALT: Step-level Advantage Assignment for Long-horizon Agents via Trajectory Graph.

Jiazheng Li, Yawei Wang, Qiaojing Yan, Yijun Tian, Zhichao Xu, Huan Song, Panpan Xu, Lin Lee Cheong

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

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, Lin Lee Cheong

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

Reinforcement Learning for Self-Improving Agent with Skill Library.

Jiongxiao Wang, Qiaojing Yan, Yawei Wang, Yijun Tian, Soumya Smruti Mishra, Zhichao Xu, Megha Gandhi, Panpan Xu, Lin Lee Cheong

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Pareto-Based Heterogeneous Knowledge Distillation for MLPs on Graphs.

Wenrui Zhao, Yijun Tian, Zhichao Xu, Yawei Wang, Chuxu Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

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

CoRR, October, 2025

Rethinking On-policy Optimization for Query Augmentation.

Zhichao Xu, Shengyao Zhuang, Xueguang Ma, Bingsen Chen, Yijun Tian, Fengran Mo, Jie Cao, Vivek Srikumar

CoRR, October, 2025

RECON: Reasoning with Condensation for Efficient Retrieval-Augmented Generation.

Zhichao Xu, Minheng Wang, Yawei Wang, Wenqian Ye, Yuntao Du, Yunpu Ma, Yijun Tian

CoRR, October, 2025

Reinforcement Mid-Training.

Yijun Tian, Shaoyu Chen, Zhichao Xu, Yawei Wang, Jinhe Bi, Peng Han, Wei Wang

CoRR, September, 2025

Distillation versus Contrastive Learning: How to Train Your Rerankers.

Zhichao Xu, Zhiqi Huang, Shengyao Zhuang, Ashim Gupta, Vivek Srikumar

CoRR, July, 2025

SLOT: Structuring the Output of Large Language Models.

Darren Yow-Bang Wang, Zhengyuan Shen, Soumya Smruti Mishra, Zhichao Xu, Yifei Teng, Haibo Ding

CoRR, May, 2025

Distillation versus Contrastive Learning: How to Train Your Rerankers.

Zhichao Xu, Zhiqi Huang, Shengyao Zhuang, Vivek Srikumar

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

CSPLADE: Learned Sparse Retrieval with Causal Language Models.

Zhichao Xu, Aosong Feng, Yijun Tian, Haibo Ding, Lin Lee Cheong

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

Found in Translation: Measuring Multilingual LLM Consistency as Simple as Translate then Evaluate.

Ashim Gupta, Maitrey Mehta, Zhichao Xu, Vivek Srikumar

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

A Systematic Survey of Automatic Prompt Optimization Techniques.

Kiran Ramnath, Kang Zhou, Sheng Guan, Soumya Smruti Mishra, Xuan Qi, Zhengyuan Shen, Shuai Wang, Sangmin Woo, Sullam Jeoung, Yawei Wang, Haozhu Wang, Han Ding, Yuzhe Lu, Zhichao Xu, Yun Zhou, Balasubramaniam Srinivasan, Qiaojing Yan, Yueyan Chen, Haibo Ding, Panpan Xu, Lin Lee Cheong

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

IPR: Intelligent Prompt Routing with User-Controlled Quality-Cost Trade-offs.

Aosong Feng, Balasubramaniam Srinivasan, Yun Zhou, Zhichao Xu, Kang Zhou, Sheng Guan, Yueyan Chen, Xian Wu, Ninad Kulkarni, Yi Zhang, Zhengyuan Shen, Dmitriy Bespalov, Soumya Smruti Mishra, Yifei Teng, Darren Yow-Bang Wang, Haibo Ding, Lin Lee Cheong

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability.

Zhichao Xu, Hansi Zeng, Juntao Tan, Zuohui Fu, Yongfeng Zhang, Qingyao Ai

ACM Trans. Inf. Syst., January, 2024

State Space Models are Strong Text Rerankers.

Zhichao Xu, Jinghua Yan, Ashim Gupta, Vivek Srikumar

CoRR, 2024

RankMamba, Benchmarking Mamba's Document Ranking Performance in the Era of Transformers.

Zhichao Xu

CoRR, 2024

Multi-dimensional Evaluation of Empathetic Dialog Responses.

Zhichao Xu, Jiepu Jiang

CoRR, 2024

An In-depth Investigation of User Response Simulation for Conversational Search.

Zhenduo Wang, Zhichao Xu, Vivek Srikumar, Qingyao Ai

Proceedings of the ACM on Web Conference 2024, 2024

In-Context Example Ordering Guided by Label Distributions.

Zhichao Xu, Daniel Cohen, Bei Wang, Vivek Srikumar

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

CFE2: Counterfactual Editing for Search Result Explanation.

Zhichao Xu, Hemank Lamba, Qingyao Ai, Joel R. Tetreault, Alex Jaimes

Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval, 2024

Multi-dimensional Evaluation of Empathetic Dialogue Responses.

Zhichao Xu, Jiepu Jiang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression.

Zhichao Xu, Ashim Gupta, Tao Li, Oliver Bentham, Vivek Srikumar

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Interaction-level Membership Inference Attack against Recommender Systems with Long-tailed Distribution.

Da Zhong, Xiuling Wang, Zhichao Xu, Jun Xu, Wendy Hui Wang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Context-aware Decoding Reduces Hallucination in Query-focused Summarization.

Zhichao Xu

CoRR, 2023

Reward-free Policy Imitation Learning for Conversational Search.

Zhenduo Wang, Zhichao Xu, Qingyao Ai

CoRR, 2023

Counterfactual Editing for Search Result Explanation.

Zhichao Xu, Hemank Lamba, Qingyao Ai, Joel R. Tetreault, Alex Jaimes

CoRR, 2023

Marginal-Certainty-Aware Fair Ranking Algorithm.

Tao Yang, Zhichao Xu, Zhenduo Wang, Anh Tran, Qingyao Ai

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

A Lightweight Constrained Generation Alternative for Query-focused Summarization.

Zhichao Xu, Daniel Cohen

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Vertical Allocation-based Fair Exposure Amortizing in Ranking.

Tao Yang, Zhichao Xu, Qingyao Ai

Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

Automated Generation of Security-Centric Descriptions for Smart Contract Bytecode.

Yu Pan, Zhichao Xu, Levi Taiji Li, Yunhe Yang, Mu Zhang

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

FARA: Future-aware Ranking Algorithm for Fairness Optimization.

Tao Yang, Zhichao Xu, Zhenduo Wang, Qingyao Ai

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Reinforcement Learning to Rank with Coarse-grained Labels.

Zhichao Xu, Anh Tran, Tao Yang, Qingyao Ai

CoRR, 2022

Learning to Rank Rationales for Explainable Recommendation.

Zhichao Xu, Yi Han, Tao Yang, Anh Tran, Qingyao Ai

CoRR, 2022

Effective Exposure Amortizing for Fair Top-k Recommendation.

Tao Yang, Zhichao Xu, Qingyao Ai

CoRR, 2022

2021

A Zero Attentive Relevance Matching Networkfor Review Modeling in Recommendation System.

Hansi Zeng, Zhichao Xu, Qingyao Ai

CoRR, 2021

Understanding the Effectiveness of Reviews in E-commerce Top-N Recommendation.

Zhichao Xu, Hansi Zeng, Qingyao Ai

Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 2021

A Zero Attentive Relevance Matching Network for Review Modeling in Recommendation System.

Hansi Zeng, Zhichao Xu, Qingyao Ai

Proceedings of the Advances in Information Retrieval, 2021

2020

Speech-Based Activity Recognition for Trauma Resuscitation.

Jalal Abdulbaqi, Yue Gu, Zhichao Xu, Chenyang Gao, Ivan Marsic, Randall S. Burd

Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

E-commerce Recommendation with Weighted Expected Utility.

Zhichao Xu, Yi Han, Yongfeng Zhang, Qingyao Ai

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020