From Global to Local: Multi-Scale Out-of-Distribution Detection. - Ji Zhang 012; Lianli Gao; Bingguang Hao; Hao Huang; Jingkuan Song; Hengtao Shen (IEEE Trans. Image Process., 2023)

E-Bench: Towards Evaluating the Ease-of-Use of Large Language Models. - Zhenyu Zhang; Bingguang Hao; Jinpeng Li 003; Zekai Zhang; Dongyan Zhao 001 (COLING, 2025)

FunReason: Enhancing Large Language Models' Function Calling via Self-Refinement Multiscale Loss and Automated Data Refinement. - Bingguang Hao; Maolin Wang 001; Zengzhuang Xu; Cunyin Peng; Yicheng Chen; Xiangyu Zhao 001; Jinjie Gu; Chenyi Zhuang (CoRR, 2025)

Exploring Superior Function Calls via Reinforcement Learning. - Bingguang Hao; Maolin Wang 001; Zengzhuang Xu; Yicheng Chen; Cunyin Peng; Jinjie Gu; Chenyi Zhuang (CoRR, 2025)