Minzheng Wang

According to our database, Minzheng Wang authored at least 19 papers between 2023 and 2026.

Collaborative distances:

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

2026

Breaking the Impasse: Dual-Scale Evolutionary Policy Training for Social Language Agents.

Minzheng Wang, Run Luo, Yanbo Wang, Zichen Liu, Yuqiao Tan, Tao Tan, Xu Nan, Yinhe Zheng, Wenji Mao

CoRR, May, 2026

From P(y|x) to P(y): Investigating Reinforcement Learning in Pre-train Space.

Yuqiao Tan, Minzheng Wang, Bo Liu, Zichen Liu, Tian Liang, Shizhu He, Jun Zhao, Kang Liu

CoRR, April, 2026

Mitigating the Safety-utility Trade-off in LLM Alignment via Adaptive Safe Context Learning.

Yanbo Wang, Minzheng Wang, Jian Liang, Lu Wang, Yongcan Yu, Ran He

CoRR, February, 2026

Breaking the Impasse: Dual-Scale Evolutionary Policy Training for Social Language Agents.

Minzheng Wang, Run Luo, Yanbo Wang, Zichen Liu, Yuqiao Tan, Tao Tan, Nan Xu, Lu Wang, Wenji Mao

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

2025

Bottom-up Policy Optimization: Your Language Model Policy Secretly Contains Internal Policies.

Yuqiao Tan, Minzheng Wang, Shizhu He, Huanxuan Liao, Chengfeng Zhao, Qiunan Lu, Tian Liang, Jun Zhao, Kang Liu

CoRR, December, 2025

Adaptive Thinking via Mode Policy Optimization for Social Language Agents.

Minzheng Wang, Yongbin Li, Haobo Wang, Xinghua Zhang, Nan Xu, Bingli Wu, Fei Huang, Haiyang Yu, Wenji Mao

CoRR, May, 2025

ImaRA: An Imaginative Frame Augmented Method for Low-Resource Multimodal Metaphor Detection and Explanation.

Yuan Tian, Minzheng Wang, Nan Xu, Wenji Mao

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct.

Run Luo, Haonan Zhang, Longze Chen, Ting-En Lin, Xiong Liu, Yuchuan Wu, Min Yang, Yongbin Li, Minzheng Wang, Pengpeng Zeng, Lianli Gao, Heng Tao Shen, Yunshui Li, Hamid Alinejad-Rokny, Xiaobo Xia, Jingkuan Song, Fei Huang

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

DEMO: Reframing Dialogue Interaction with Fine-grained Element Modeling.

Minzheng Wang, Xinghua Zhang, Kun Chen, Nan Xu, Haiyang Yu, Fei Huang, Wenji Mao, Yongbin Li

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

Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs.

Lei Zhang, Yunshui Li, Jiaming Li, Xiaobo Xia, Jiaxi Yang, Run Luo, Minzheng Wang, Longze Chen, Junhao Liu, Qiang Qu, Min Yang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

The Imperative of Conversation Analysis in the Era of LLMs: A Survey of Tasks, Techniques, and Trends.

Xinghua Zhang, Haiyang Yu, Yongbin Li, Minzheng Wang, Longze Chen, Fei Huang

CoRR, 2024

MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct.

Run Luo, Haonan Zhang, Longze Chen, Ting-En Lin, Xiong Liu, Yuchuan Wu, Min Yang, Minzheng Wang, Pengpeng Zeng, Lianli Gao, Heng Tao Shen, Yunshui Li, Xiaobo Xia, Fei Huang, Jingkuan Song, Yongbin Li

CoRR, 2024

Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs.

Lei Zhang, Yunshui Li, Jiaming Li, Xiaobo Xia, Jiaxi Yang, Run Luo, Minzheng Wang, Longze Chen, Junhao Liu, Min Yang

CoRR, 2024

Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA.

Minzheng Wang, Longze Chen, Cheng Fu, Shengyi Liao, Xinghua Zhang, Bingli Wu, Haiyang Yu, Nan Xu, Lei Zhang, Run Luo, Yunshui Li, Min Yang, Fei Huang, Yongbin Li

CoRR, 2024

Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA.

Minzheng Wang, Longze Chen, Fu Cheng, Shengyi Liao, Xinghua Zhang, Bingli Wu, Haiyang Yu, Nan Xu, Lei Zhang, Run Luo, Yunshui Li, Min Yang, Fei Huang, Yongbin Li

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

PromISe: Releasing the Capabilities of LLMs with Prompt Introspective Search.

Minzheng Wang, Nan Xu, Jiahao Zhao, Yin Luo, Wenji Mao

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

YAYI-UIE: A Chat-Enhanced Instruction Tuning Framework for Universal Information Extraction.

Xinglin Xiao, Yijie Wang, Nan Xu, Yuqi Wang, Hanxuan Yang, Minzheng Wang, Yin Luo, Lei Wang, Wenji Mao, Daniel Zeng

CoRR, 2023

YAYI 2: Multilingual Open-Source Large Language Models.

Yin Luo, Qingchao Kong, Nan Xu, Jia Cao, Bao Hao, Baoyu Qu, Bo Chen, Chao Zhu, Chenyang Zhao, Donglei Zhang, Fan Feng, Feifei Zhao, Hailong Sun, Hanxuan Yang, Haojun Pan, Hongyu Liu, Jianbin Guo, Jiangtao Du, Jingyi Wang, Junfeng Li, Lei Sun, Liduo Liu, Lifeng Dong, Lili Liu, Lin Wang, Liwen Zhang, Minzheng Wang, Pin Wang, Ping Yu, Qingxiao Li, Rui Yan, Rui Zou, Ruiqun Li, Taiwen Huang, Xiaodong Wang, Xiaofei Wu, Xin Peng, Xina Zhang, Xing Fang, Xinglin Xiao, Yanni Hao, Yao Dong, Yigang Wang, Ying Liu, Yongyu Jiang, Yungan Wang, Yuqi Wang, Zhangsheng Wang, Zhaoxin Yu, Zhen Luo, Wenji Mao, Lei Wang, Daniel Dajun Zeng

CoRR, 2023

Boosting Domain-Specific Question Answering Through Weakly Supervised Self-Training.

Minzheng Wang, Jia Cao, Qingchao Kong, Yin Luo

Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2023