publications

2026

1. arXiv

   

   Reinforcement Learning from Denoising Feedback

   Qi He, Huan Chen, Ya Guo, and 3 more authors

   2026

   arXiv Bib Code

   @article{he2026reinforcement,
     title = {Reinforcement Learning from Denoising Feedback},
     author = {He, Qi and Chen, Huan and Guo, Ya and Zhu, Huijia and Fung, Yi R and Zhou, Baojian},
     booktitle = {arXiv preprint},
     year = {2026},
   }

2025

1. ACL Findings

   

   Veri-R1: Toward Precise and Faithful Claim Verification via Online Reinforcement Learning

   Qi He, Cheng Qian, Xiusi Chen, and 3 more authors

   2025

   arXiv Bib Code

   @article{he2025verir1precisefaithfulclaim,
     title = {Veri-R1: Toward Precise and Faithful Claim Verification via Online Reinforcement Learning},
     author = {He, Qi and Qian, Cheng and Chen, Xiusi and He, Bingxiang and Fung, Yi R. and Ji, Heng},
     booktitle = {ACL Findings},
     year = {2025},
   }

2. NeurIPS

   

   Toolrl: Reward is all tool learning needs

   Cheng Qian, Emre Can Acikgoz, Qi He, and 5 more authors

   2025

   arXiv Bib Code

   @article{qian2025toolrl,
     title = {Toolrl: Reward is all tool learning needs},
     author = {Qian, Cheng and Acikgoz, Emre Can and He, Qi and Wang, Hongru and Chen, Xiusi and Hakkani-T{\"u}r, Dilek and Tur, Gokhan and Ji, Heng},
     booktitle = {Annual Conference on Neural Information Processing Systems},
     year = {2025},
   }

2024

1. ACM Surveys

   

   From individual to society: A survey on social simulation driven by large language model-based agents

   Xinyi Mou, Xuanwen Ding, Qi He, and 8 more authors

   2024

   arXiv Bib Code

   @article{mou2024individual,
     title = {From individual to society: A survey on social simulation driven by large language model-based agents},
     author = {Mou, Xinyi and Ding, Xuanwen and He, Qi and Wang, Liang and Liang, Jingcong and Zhang, Xinnong and Sun, Libo and Lin, Jiayu and Zhou, Jie and Huang, Xuanjing and others},
     booktitle = {ACM Computing Surveys},
     year = {2024},
   }