Hengyi Cai

According to our database, Hengyi Cai authored at least 51 papers between 2017 and 2026.

Collaborative distances:

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

2026

Erratum: Learning Discrete Identifiers and Dense Vectors for Generative Retrieval.

Yunfan Xie, Lixin Zou, Xiangyang Luo, Hengyi Cai, Chaoran Zhang, Liming Dong, Xixun Lin, Chenliang Li

ACM Trans. Inf. Syst., March, 2026

Learning Discrete Identifiers and Dense Vectors for Generative Retrieval.

Yunfan Xie, Lixin Zou, Xiangyang Luo, Hengyi Cai, Chaoran Zhang, Liming Dong, Xixun Lin, Chenliang Li

ACM Trans. Inf. Syst., February, 2026

AgentSkiller: Scaling Generalist Agent Intelligence through Semantically Integrated Cross-Domain Data Synthesis.

Zexu Sun, Bokai Ji, Hengyi Cai, Shuaiqiang Wang, Lei Wang, Guangxia Li, Xu Chen

CoRR, February, 2026

Not All Preferences Are Created Equal: Stability-Aware and Gradient-Efficient Alignment for Reasoning Models.

Hui Wu, Hengyi Cai, Jinman Zhao, Xinran Chen, Ziheng Li, Zhejun Zhao, Shuaiqiang Wang, Yuchen Li, Dawei Yin

CoRR, February, 2026

MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching.

Changle Qu, Sunhao Dai, Hengyi Cai, Jun Xu, Shuaiqiang Wang, Dawei Yin

CoRR, January, 2026

FlexSpec: Frozen Drafts Meet Evolving Targets in Edge-Cloud Collaborative LLM Speculative Decoding.

Yuchen Li, Rui Kong, Zhonghao Lyu, Qiyang Li, Xinran Chen, Hengyi Cai, Lingyong Yan, Shuaiqiang Wang, Jiashu Zhao, Guangxu Zhu, Linghe Kong, Guihai Chen, Haoyi Xiong, Dawei Yin

CoRR, January, 2026

Probe-and-Fetch: Dynamic KV Cache Pruning for Accelerated Long-Context Inference in Web-Scale AI Search.

Yuchen Li, Rui Kong, Xinran Chen, Chengzhe Zhang, Jiamin Chen, Cheng Deng, Xinyu Ma, Haojie Zhang, Tianhao Peng, Hengyi Cai, Shuaiqiang Wang, Jiashu Zhao, Yongqi Zhang, Haoyi Xiong, Jimmy Xiangji Huang, Lei Chen, Jun Wang, Dawei Yin

Proceedings of the ACM Web Conference 2026, 2026

Retain to Refine: Adaptive Online Question Answering via Query Routing and Long-Short Memory.

Yuchen Li, Jiamin Chen, Xinran Chen, Zhiyu Li, Haojie Zhang, Rui Kong, Jiayi Li, Xinyu Ma, Hengyi Cai, Lixin Su, Shuaiqiang Wang, Jiashu Zhao, Yongqi Zhang, Haoyi Xiong, Linghe Kong, Lei Chen, Dawei Yin

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Beyond Step Pruning: Information Theory Based Step-level Optimization for Self-Refining Large Language Models.

Jinman Zhao, Erxue Min, Hui Wu, Ziheng Li, Zexu Sun, Hengyi Cai, Shuaiqiang Wang, Xu Chen, Gerald Penn

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

AdaFuse: Accelerating Dynamic Adapter Inference via Token-Level Pre-Gating and Fused Kernel Optimization.

Qiyang Li, Rui Kong, Yuchen Li, Hengyi Cai, Shuaiqiang Wang, Linghe Kong, Guihai Chen, Dawei Yin

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Efficient Thought Space Exploration Through Strategic Intervention.

Ziheng Li, Hengyi Cai, Xiaochi Wei, Yuchen Li, Shuaiqiang Wang, Zhi-Hong Deng, Dawei Yin

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

VPN: Visual Prompt Navigation.

Shuo Feng, Zihan Wang, Yuchen Li, Rui Kong, Hengyi Cai, Shuaiqiang Wang, Gim Hee Lee, Piji Li, Shuqiang Jiang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

AdaSwitch: Adaptive Switching Generation for Knowledge Distillation.

Jingyu Peng, Maolin Wang, Hengyi Cai, Yuchen Li, Kai Zhang, Shuaiqiang Wang, Dawei Yin, Xiangyu Zhao

CoRR, October, 2025

Solving the Granularity Mismatch: Hierarchical Preference Learning for Long-Horizon LLM Agents.

Heyang Gao, Zexu Sun, Erxue Min, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Xu Chen

CoRR, October, 2025

CurES: From Gradient Analysis to Efficient Curriculum Learning for Reasoning LLMs.

Yongcheng Zeng, Zexu Sun, Bokai Ji, Erxue Min, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Haifeng Zhang, Xu Chen, Jun Wang

CoRR, October, 2025

Staying in the Sweet Spot: Responsive Reasoning Evolution via Capability-Adaptive Hint Scaffolding.

Ziheng Li, Zexu Sun, Jinman Zhao, Erxue Min, Yongcheng Zeng, Hui Wu, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Xu Chen, Zhi-Hong Deng

CoRR, September, 2025

Tool learning with large language models: a survey.

Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen

Frontiers Comput. Sci., August, 2025

Towards AI Search Paradigm.

Yuchen Li, Hengyi Cai, Rui Kong, Xinran Chen, Jiamin Chen, Jun Yang, Haojie Zhang, Jiayi Li, Jiayi Wu, Yiqun Chen, Changle Qu, Keyi Kong, Wenwen Ye, Lixin Su, Xinyu Ma, Long Xia, Daiting Shi, Jiashu Zhao, Haoyi Xiong, Shuaiqiang Wang, Dawei Yin

CoRR, June, 2025

From Prompting to Alignment: A Generative Framework for Query Recommendation.

Erxue Min, Hsiu-Yuan Huang, Min Yang, Xihong Yang, Xin Jia, Yunfang Wu, Hengyi Cai, Shuaiqiang Wang, Dawei Yin

CoRR, April, 2025

PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization.

Jiayi Wu, Hengyi Cai, Lingyong Yan, Hao Sun, Xiang Li, Shuaiqiang Wang, Dawei Yin, Ming Gao

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

MARA: A Multimodal Adaptive Retrieval-Augmented Framework for Document Question Answering.

Hui Wu, Haoquan Zhai, Yuchen Li, Hengyi Cai, Peirong Zhang, Yidan Zhang, Lei Wang, Chunle Wang, Yingyan Hou, Shuaiqiang Wang, Dawei Yin

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Multi-Agent Proactive Information Seeking with Adaptive LLM Orchestration for Non-Factoid Question Answering.

Xinran Chen, Yuchen Li, Hengyi Cai, Zhuoran Ma, Xuanang Chen, Haoyi Xiong, Shuaiqiang Wang, Ben He, Le Sun, Dawei Yin

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

FULTR: A Large-Scale Fusion Learning to Rank Dataset and Its Application for Satisfaction-Oriented Ranking.

Yuchen Li, Hao Zhang, Haojie Zhang, Hengyi Cai, Xinyu Ma, Shuaiqiang Wang, Haoyi Xiong, Zhaochun Ren, Maarten de Rijke, Dawei Yin

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

RankExpert: A Mixture of Textual-and-Behavioral Experts for Multi-Objective Learning-to-Rank in Web Search.

Yuchen Li, Hao Zhang, Yongqi Zhang, Hengyi Cai, Mingxin Cai, Shuaiqiang Wang, Haoyi Xiong, Linghe Kong, Dawei Yin, Lei Chen

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions.

Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Uplift-RAG: Uplift-Driven Knowledge Preference Alignment for Retrieval-Augmented Generation.

Changle Qu, Sunhao Dai, Hengyi Cai, Yiyang Cheng, Jun Xu, Shuaiqiang Wang, Dawei Yin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

CTR-Guided Generative Query Suggestion in Conversational Search.

Erxue Min, Hsiu-Yuan Huang, Xihong Yang, Min Yang, Xin Jia, Yunfang Wu, Hengyi Cai, Junfeng Wang, Shuaiqiang Wang, Dawei Yin

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

Enhancing Retrieval-Augmented Generation via Evidence Tree Search.

Hao Sun, Hengyi Cai, Yuchen Li, Xuanbo Fan, Xiaochi Wei, Shuaiqiang Wang, Yan Zhang, Dawei Yin

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Explainability for Large Language Models: A Survey.

Haiyan Zhao, Hanjie Chen, Fan Yang, Ninghao Liu, Huiqi Deng, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Mengnan Du

ACM Trans. Intell. Syst. Technol., April, 2024

COLT: Towards Completeness-Oriented Tool Retrieval for Large Language Models.

Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen

CoRR, 2024

XL²Bench: A Benchmark for Extremely Long Context Understanding with Long-range Dependencies.

Xuanfan Ni, Hengyi Cai, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Piji Li

CoRR, 2024

Text-Video Retrieval via Variational Multi-Modal Hypergraph Networks.

Qian Li, Lixin Su, Jiashu Zhao, Long Xia, Hengyi Cai, Suqi Cheng, Hengzhu Tang, Junfeng Wang, Dawei Yin

CoRR, 2024

Text-Video Retrieval via Multi-Modal Hypergraph Networks.

Qian Li, Lixin Su, Jiashu Zhao, Long Xia, Hengyi Cai, Suqi Cheng, Hengzhu Tang, Junfeng Wang, Dawei Yin

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Cross-model Control: Improving Multiple Large Language Models in One-time Training.

Jiayi Wu, Hao Sun, Hengyi Cai, Lixin Su, Shuaiqiang Wang, Dawei Yin, Xiang Li, Ming Gao

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Towards Verifiable Text Generation with Evolving Memory and Self-Reflection.

Hao Sun, Hengyi Cai, Bo Wang, Yingyan Hou, Xiaochi Wei, Shuaiqiang Wang, Yan Zhang, Dawei Yin

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning.

Hao Sun, Jiayi Wu, Hengyi Cai, Xiaochi Wei, Yue Feng, Bo Wang, Shuaiqiang Wang, Yan Zhang, Dawei Yin

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Towards Completeness-Oriented Tool Retrieval for Large Language Models.

Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen

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

2023

Pre-trained Language Model-based Retrieval and Ranking for Web Search.

Lixin Zou, Weixue Lu, Yiding Liu, Hengyi Cai, Xiaokai Chu, Dehong Ma, Daiting Shi, Yu Sun, Zhicong Cheng, Simiu Gu, Shuaiqiang Wang, Dawei Yin

ACM Trans. Web, February, 2023

Contrastive Learning with Dialogue Attributes for Neural Dialogue Generation.

Jie Tan, Hengyi Cai, Hongshen Chen, Hong Cheng, Helen Meng, Zhuoye Ding

Proceedings of the IEEE International Conference on Acoustics, 2023

Answering Ambiguous Questions via Iterative Prompting.

Weiwei Sun, Hengyi Cai, Hongshen Chen, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Fast Semantic Matching via Flexible Contextualized Interaction.

Wenwen Ye, Yiding Liu, Lixin Zou, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Dawei Yin

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Approximated Doubly Robust Search Relevance Estimation.

Lixin Zou, Changying Hao, Hengyi Cai, Shuaiqiang Wang, Suqi Cheng, Zhicong Cheng, Wenwen Ye, Simiu Gu, Dawei Yin

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Pre-trained Language Model based Ranking in Baidu Search.

Lixin Zou, Shengqiang Zhang, Hengyi Cai, Dehong Ma, Suqi Cheng, Shuaiqiang Wang, Daiting Shi, Zhicong Cheng, Dawei Yin

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Exemplar Guided Neural Dialogue Generation.

Hengyi Cai, Hongshen Chen, Yonghao Song, Xiaofang Zhao, Dawei Yin

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Group-wise Contrastive Learning for Neural Dialogue Generation.

Hengyi Cai, Hongshen Chen, Yonghao Song, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Xiaofang Zhao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight.

Hengyi Cai, Hongshen Chen, Yonghao Song, Cheng Zhang, Xiaofang Zhao, Dawei Yin

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Learning from Easy to Complex: Adaptive Multi-Curricula Learning for Neural Dialogue Generation.

Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Yangxi Li, Dongsheng Duan, Dawei Yin

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Low powered blockchain consensus protocols based on consistent hash.

Lei Yu, Xiaofang Zhao, Yan Jin, Hengyi Cai, Bo Wei, Bin Hu

Frontiers Inf. Technol. Electron. Eng., 2019

Adaptive Parameterization for Neural Dialogue Generation.

Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Dawei Yin

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

KNPTC: Knowledge and Neural Machine Translation Powered Chinese Pinyin Typo Correction.

Hengyi Cai, Xingguang Ji, Yonghao Song, Yan Jin, Yang Zhang, Mairgup Mansur, Xiaofang Zhao

CoRR, 2018

2017

FTGWS: Forming Optimal Tutor Group for Weak Students Discovered in Educational Settings.

Yonghao Song, Hengyi Cai, Xiaohui Zheng, Qiang Qiu, Yan Jin, Xiaofang Zhao

Proceedings of the Database and Expert Systems Applications, 2017