Zhichao Xu - RankMe

63 papers A* 5A 5Misc 2Journal 37Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey of Model Architectures in Information Retrieval. Trans. Mach. Learn. Res. Zhichao Xu, Fengran Mo, Zhiqi Huang, Crystina Zhang, Puxuan Yu, Bei Wang Phillips, Jimmy Lin, Vivek Srikumar
2026	—	`conf`	BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation. EACL (Findings) Bo Yuan, Yun Zhou, Zhichao Xu, Kiran Ramnath, Aosong Feng, Balasubramaniam Srinivasan
2026	J	`jnl`	BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation. CoRR Bo Yuan, Yun Zhou, Zhichao Xu, Kiran Ramnath, Aosong Feng, Balasubramaniam Srinivasan
2026	A*	`conf`	ConvMix: A Mixed-Criteria Data Augmentation Framework for Conversational Dense Retrieval. AAAI Fengran Mo, Jinghan Zhang, Yuchen Hui, Jia Ao Sun, Zhichao Xu, Zhan Su, Jian-Yun Nie
2026	—	`conf`	Diffusion Language Model Inference with Monte Carlo Tree Search. EACL (Findings) Zheng Huang, Kiran Ramnath, Yueyan Chen, Aosong Feng, Sangmin Woo, Balasubramaniam Srinivasan, Zhichao Xu, Kang Zhou, Shuai Wang, Haibo Ding, Lin Lee Cheong
2026	J	`jnl`	LACONIC: Dense-Level Effectiveness for Scalable Sparse Retrieval via a Two-Phase Training Curriculum. CoRR Zhichao Xu, Shengyao Zhuang, Crystina Zhang, Xueguang Ma, Yijun Tian, Maitrey Mehta, Jimmy Lin, Vivek Srikumar
2026	—	`conf`	Learning to Ideate for Machine Learning Engineering Agents. EACL (Volume 2: Short Papers) Yunxiang Zhang, Kang Zhou, Zhichao Xu, Kiran Ramnath, Yun Zhou, Sangmin Woo, Haibo Ding, Lin Lee Cheong
2026	J	`jnl`	Learning to Ideate for Machine Learning Engineering Agents. CoRR Yunxiang Zhang, Kang Zhou, Zhichao Xu, Kiran Ramnath, Yun Zhou, Sangmin Woo, Haibo Ding, Lin Lee Cheong
2026	A*	`conf`	Pareto-Based Heterogeneous Knowledge Distillation for MLPs on Graphs. AAAI Wenrui Zhao, Yijun Tian, Zhichao Xu, Yawei Wang, Chuxu Zhang
2026	—	`conf`	SALT: Step-level Advantage Assignment for Long-horizon Agents via Trajectory Graph. EACL (Findings) Jiazheng Li, Yawei Wang, Qiaojing Yan, Yijun Tian, Zhichao Xu, Huan Song, Panpan Xu, Lin Lee Cheong
2025	J	`jnl`	A Survey of Model Architectures in Information Retrieval. CoRR Zhichao Xu, Fengran Mo, Zhiqi Huang, Crystina Zhang, Puxuan Yu, Bei Wang, Jimmy Lin, Vivek Srikumar
2025	A*	`conf`	A Systematic Survey of Automatic Prompt Optimization Techniques. EMNLP 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
2025	J	`jnl`	A Systematic Survey of Automatic Prompt Optimization Techniques. CoRR 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
2025	J	`jnl`	Beyond Correctness: Rewarding Faithful Reasoning in Retrieval-Augmented Generation. CoRR 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
2025	—	`conf`	CSPLADE: Learned Sparse Retrieval with Causal Language Models. IJCNLP-AACL (long papers) Zhichao Xu, Aosong Feng, Yijun Tian, Haibo Ding, Lin Lee Cheong
2025	J	`jnl`	CSPLADE: Learned Sparse Retrieval with Causal Language Models. CoRR Zhichao Xu, Aosong Feng, Yijun Tian, Haibo Ding, Lin Lee Cheong
2025	J	`jnl`	ConvMix: A Mixed-Criteria Data Augmentation Framework for Conversational Dense Retrieval. CoRR Fengran Mo, Jinghan Zhang, Yuchen Hui, Jia Ao Sun, Zhichao Xu, Zhan Su, Jian-Yun Nie
2025	J	`jnl`	Diffusion Language Model Inference with Monte Carlo Tree Search. CoRR Zheng Huang, Kiran Ramnath, Yueyan Chen, Aosong Feng, Sangmin Woo, Balasubramaniam Srinivasan, Zhichao Xu, Kang Zhou, Shuai Wang, Haibo Ding, Lin Lee Cheong
2025	—	`conf`	Distillation versus Contrastive Learning: How to Train Your Rerankers. IJCNLP-AACL (Findings) Zhichao Xu, Zhiqi Huang, Shengyao Zhuang, Vivek Srikumar
2025	J	`jnl`	Distillation versus Contrastive Learning: How to Train Your Rerankers. CoRR Zhichao Xu, Zhiqi Huang, Shengyao Zhuang, Ashim Gupta, Vivek Srikumar
2025	—	`conf`	Found in Translation: Measuring Multilingual LLM Consistency as Simple as Translate then Evaluate. IJCNLP-AACL (long papers) Ashim Gupta, Maitrey Mehta, Zhichao Xu, Vivek Srikumar
2025	J	`jnl`	Found in Translation: Measuring Multilingual LLM Consistency as Simple as Translate then Evaluate. CoRR Ashim Gupta, Maitrey Mehta, Zhichao Xu, Vivek Srikumar
2025	—	`conf`	IPR: Intelligent Prompt Routing with User-Controlled Quality-Cost Trade-offs. EMNLP (Industry Track) 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
2025	J	`jnl`	RECON: Reasoning with Condensation for Efficient Retrieval-Augmented Generation. CoRR Zhichao Xu, Minheng Wang, Yawei Wang, Wenqian Ye, Yuntao Du, Yunpu Ma, Yijun Tian
2025	J	`jnl`	Reinforcement Learning for Self-Improving Agent with Skill Library. CoRR Jiongxiao Wang, Qiaojing Yan, Yawei Wang, Yijun Tian, Soumya Smruti Mishra, Zhichao Xu, Megha Gandhi, Panpan Xu, Lin Lee Cheong
2025	J	`jnl`	Reinforcement Mid-Training. CoRR Yijun Tian, Shaoyu Chen, Zhichao Xu, Yawei Wang, Jinhe Bi, Peng Han, Wei Wang
2025	J	`jnl`	Rethinking On-policy Optimization for Query Augmentation. CoRR Zhichao Xu, Shengyao Zhuang, Xueguang Ma, Bingsen Chen, Yijun Tian, Fengran Mo, Jie Cao, Vivek Srikumar
2025	J	`jnl`	SALT: Step-level Advantage Assignment for Long-horizon Agents via Trajectory Graph. CoRR Jiazheng Li, Yawei Wang, David Yan, Yijun Tian, Zhichao Xu, Huan Song, Panpan Xu, Lin Lee Cheong
2025	J	`jnl`	SLOT: Structuring the Output of Large Language Models. CoRR Darren Yow-Bang Wang, Zhengyuan Shen, Soumya Smruti Mishra, Zhichao Xu, Yifei Teng, Haibo Ding
2024	J	`jnl`	A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability. ACM Trans. Inf. Syst. Zhichao Xu, Hansi Zeng, Juntao Tan, Zuohui Fu, Yongfeng Zhang, Qingyao Ai
2024	A*	`conf`	An In-depth Investigation of User Response Simulation for Conversational Search. WWW Zhenduo Wang, Zhichao Xu, Vivek Srikumar, Qingyao Ai
2024	—	`conf`	Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression. EMNLP (Findings) Zhichao Xu, Ashim Gupta, Tao Li, Oliver Bentham, Vivek Srikumar
2024	J	`jnl`	Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression. CoRR Zhichao Xu, Ashim Gupta, Tao Li, Oliver Bentham, Vivek Srikumar
2024	Misc	`conf`	CFE2: Counterfactual Editing for Search Result Explanation. ICTIR Zhichao Xu, Hemank Lamba, Qingyao Ai, Joel R. Tetreault, Alex Jaimes
2024	—	`conf`	In-Context Example Ordering Guided by Label Distributions. NAACL-HLT (Findings) Zhichao Xu, Daniel Cohen, Bei Wang, Vivek Srikumar
2024	J	`jnl`	In-Context Example Ordering Guided by Label Distributions. CoRR Zhichao Xu, Daniel Cohen, Bei Wang, Vivek Srikumar
2024	A	`conf`	Interaction-level Membership Inference Attack against Recommender Systems with Long-tailed Distribution. CIKM Da Zhong, Xiuling Wang, Zhichao Xu, Jun Xu, Wendy Hui Wang
2024	J	`jnl`	Multi-dimensional Evaluation of Empathetic Dialog Responses. CoRR Zhichao Xu, Jiepu Jiang
2024	—	`conf`	Multi-dimensional Evaluation of Empathetic Dialogue Responses. EMNLP (Findings) Zhichao Xu, Jiepu Jiang
2024	J	`jnl`	RankMamba, Benchmarking Mamba's Document Ranking Performance in the Era of Transformers. CoRR Zhichao Xu
2024	J	`jnl`	State Space Models are Strong Text Rerankers. CoRR Zhichao Xu, Jinghua Yan, Ashim Gupta, Vivek Srikumar
2023	A*	`conf`	A Lightweight Constrained Generation Alternative for Query-focused Summarization. SIGIR Zhichao Xu, Daniel Cohen
2023	J	`jnl`	A Lightweight Constrained Generation Alternative for Query-focused Summarization. CoRR Zhichao Xu, Daniel Cohen
2023	J	`jnl`	An In-depth Investigation of User Response Simulation for Conversational Search. CoRR Zhenduo Wang, Zhichao Xu, Qingyao Ai, Vivek Srikumar
2023	A	`conf`	Automated Generation of Security-Centric Descriptions for Smart Contract Bytecode. ISSTA Yu Pan, Zhichao Xu, Levi Taiji Li, Yunhe Yang, Mu Zhang
2023	J	`jnl`	Context-aware Decoding Reduces Hallucination in Query-focused Summarization. CoRR Zhichao Xu
2023	J	`jnl`	Counterfactual Editing for Search Result Explanation. CoRR Zhichao Xu, Hemank Lamba, Qingyao Ai, Joel R. Tetreault, Alex Jaimes
2023	A	`conf`	FARA: Future-aware Ranking Algorithm for Fairness Optimization. CIKM Tao Yang, Zhichao Xu, Zhenduo Wang, Qingyao Ai
2023	J	`jnl`	FARA: Future-aware Ranking Algorithm for Fairness Optimization. CoRR Tao Yang, Zhichao Xu, Zhenduo Wang, Qingyao Ai
2023	A	`conf`	Marginal-Certainty-Aware Fair Ranking Algorithm. WSDM Tao Yang, Zhichao Xu, Zhenduo Wang, Anh Tran, Qingyao Ai
2023	J	`jnl`	Reward-free Policy Imitation Learning for Conversational Search. CoRR Zhenduo Wang, Zhichao Xu, Qingyao Ai
2023	—	`conf`	Vertical Allocation-based Fair Exposure Amortizing in Ranking. SIGIR-AP Tao Yang, Zhichao Xu, Qingyao Ai
2022	J	`jnl`	Effective Exposure Amortizing for Fair Top-k Recommendation. CoRR Tao Yang, Zhichao Xu, Qingyao Ai
2022	J	`jnl`	Learning to Rank Rationales for Explainable Recommendation. CoRR Zhichao Xu, Yi Han, Tao Yang, Anh Tran, Qingyao Ai
2022	J	`jnl`	Marginal-Certainty-aware Fair Ranking Algorithm. CoRR Tao Yang, Zhichao Xu, Zhenduo Wang, Anh Tran, Qingyao Ai
2022	J	`jnl`	Reinforcement Learning to Rank with Coarse-grained Labels. CoRR Zhichao Xu, Anh Tran, Tao Yang, Qingyao Ai
2021	—	`conf`	A Zero Attentive Relevance Matching Network for Review Modeling in Recommendation System. ECIR (1) Hansi Zeng, Zhichao Xu, Qingyao Ai
2021	J	`jnl`	A Zero Attentive Relevance Matching Networkfor Review Modeling in Recommendation System. CoRR Hansi Zeng, Zhichao Xu, Qingyao Ai
2021	Misc	`conf`	Understanding the Effectiveness of Reviews in E-commerce Top-N Recommendation. ICTIR Zhichao Xu, Hansi Zeng, Qingyao Ai
2021	J	`jnl`	Understanding the Effectiveness of Reviews in E-commerce Top-N Recommendation. CoRR Zhichao Xu, Hansi Zeng, Qingyao Ai
2020	A	`conf`	E-commerce Recommendation with Weighted Expected Utility. CIKM Zhichao Xu, Yi Han, Yongfeng Zhang, Qingyao Ai
2020	J	`jnl`	E-commerce Recommendation with Weighted Expected Utility. CoRR Zhichao Xu, Yi Han, Yongfeng Zhang, Qingyao Ai
2020	—	`conf`	Speech-Based Activity Recognition for Trauma Resuscitation. ICHI Jalal Abdulbaqi, Yue Gu, Zhichao Xu, Chenyang Gao, Ivan Marsic, Randall S. Burd