Baohua Dong

According to our database, Baohua Dong authored at least 11 papers between 2014 and 2026.

Collaborative distances:

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

2026

Rethinking Memory as Continuously Evolving Connectivity.

Jizhan Fang, Buqiang Xu, Zhixian Wang, Haoliang Cao, Xinle Deng, Baohua Dong, Hangcheng Zhu, Ruohui Huang, Gang Yu, Ying Wei, Guozhou Zheng, Feiyu Xiong, Haofen Wang, Huajun Chen, Ningyu Zhang

CoRR, May, 2026

MemTrace: Tracing and Attributing Errors in Large Language Model Memory Systems.

Xinle Deng, Ruobin Zhong, Hujin Peng, Xiaoben Lu, Yanzhe Wu, Guang Li, Buqiang Xu, Yunzhi Yao, Jizhan Fang, Haoliang Cao, Junjie Guo, Yuan Yuan, Ziqing Ma, Yuanqiang Yu, Rui Hu, Baohua Dong, Hangcheng Zhu, Ningyu Zhang

CoRR, May, 2026

Rubrics to Tokens: Bridging Response-level Rubrics and Token-level Rewards in Instruction Following Tasks.

Tianze Xu, Yanzhao Zheng, Pengrui Lu, Lyumanshan Ye, Yong Wu, ZhenTao Zhang, YuanQiang Yu, Chao Ma, JiHuai Zhu, Pengfei Liu, Baohua Dong, Hangcheng Zhu, Ruohui Huang, Gang Yu

CoRR, April, 2026

ContextBudget: Budget-Aware Context Management for Long-Horizon Search Agents.

Yong Wu, Yanzhao Zheng, Tianze Xu, ZhenTao Zhang, YuanQiang Yu, JiHuai Zhu, Chao Ma, BinBin Lin, Baohua Dong, Hangcheng Zhu, Ruohui Huang, Gang Yu

CoRR, April, 2026

SkillRouter: Skill Routing for LLM Agents at Scale.

Yanzhao Zheng, ZhenTao Zhang, Chao Ma, YuanQiang Yu, JiHuai Zhu, Yong Wu, Tianze Xu, Baohua Dong, Hangcheng Zhu, Ruohui Huang, Gang Yu

CoRR, March, 2026

SERL: Self-Examining Reinforcement Learning on Open-Domain.

Weixuan Ou, Yanzhao Zheng, Shuoshuo Sun, Wei Zhang, Baohua Dong, Hangcheng Zhu, Ruohui Huang, Gang Yu, Pengwei Yan, Yifan Qiao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Reason from Future: Reverse Thought Chain Enhances LLM Reasoning.

Yinlong Xu, Yanzhao Zheng, Shuoshuo Sun, Shuaihan Huang, Baohua Dong, Hangcheng Zhu, Ruohui Huang, Gang Yu, Hongxia Xu, Jian Wu

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

2024

Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models.

Haoran Sun, Lixin Liu, Junjie Li, Fengyu Wang, Baohua Dong, Ran Lin, Ruohui Huang

CoRR, 2024

2023

U-NEED: A Fine-grained Dataset for User Needs-Centric E-commerce Conversational Recommendation.

Yuanxing Liu, Weinan Zhang, Baohua Dong, Yan Fan, Hang Wang, Fan Feng, Yifan Chen, Ziyu Zhuang, Hengbin Cui, Yongbin Li, Wanxiang Che

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

2022

HIE-SQL: History Information Enhanced Network for Context-Dependent Text-to-SQL Semantic Parsing.

Yanzhao Zheng, Haibin Wang, Baohua Dong, Xingjun Wang, Changshan Li

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2014

A Research of Taobao Cheater Detection.

Baohua Dong, Qihua Liu, Yue Fu, Liyi Zhang

Proceedings of the Digital Services and Information Intelligence, 2014