Bingguang Hao

According to our database, Bingguang Hao authored at least 9 papers between 2023 and 2026.

Collaborative distances:

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

2026

Function Calling in Large Language Models: Industrial Practices, Challenges, and Future Directions.

Maolin Wang, Yingyi Zhang, Bowen Yu, Bingguang Hao, Cunyin Peng, Yicheng Chen, Wei Zhou, Jinjie Gu, Chenyi Zhuang, Ruocheng Guo, Wanyu Wang, Xiangyu Zhao

ACM Comput. Surv., July, 2026

StressWeb: A Diagnostic Benchmark for Web Agent Robustness under Realistic Interaction Variability.

Haoyue Bai, Dong Wang, Long Chen, Bingguang Hao, Pengyang Shao, Yonghui Yang, Yicheng He, Chenyi Zhuang

CoRR, April, 2026

From Failure to Mastery: Generating Hard Samples for Tool-use Agents.

Bingguang Hao, Zengzhuang Xu, Yuntao Wen, Xinyi Xu, Yang Liu, Tong Zhao, Maolin Wang, Long Chen, Dong Wang, Yicheng Chen, Cunyin Peng, Xiangyu Zhao, Chenyi Zhuang, Ji Zhang

CoRR, January, 2026

JanusMM: A Benchmark for Self-Deprecation Understanding in Real-World Multimodal Conversations.

Xinyi Xu, Bingguang Hao, Yongyi Xiong, Zimo Chen, Xinchen Liu, Hongxin Guo, Xuelong Wang, Silin Zhou, Shihan Dou

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

2025

FunReason-MT Technical Report: Overcoming the Complexity Barrier in Multi-Turn Function Calling.

Zengzhuang Xu, Bingguang Hao, Zechuan Wang, Yuntao Wen, Maolin Wang, Yang Liu, Long Chen, Dong Wang, Yicheng Chen, Cunyin Peng, Chenyi Zhuang, Jinjie Gu, Leilei Gan, Xiangyu Zhao, Shi Gu

CoRR, October, 2025

Exploring Superior Function Calls via Reinforcement Learning.

Bingguang Hao, Maolin Wang, Zengzhuang Xu, Yicheng Chen, Cunyin Peng, Jinjie Gu, Chenyi Zhuang

CoRR, August, 2025

FunReason: Enhancing Large Language Models' Function Calling via Self-Refinement Multiscale Loss and Automated Data Refinement.

Bingguang Hao, Maolin Wang, Zengzhuang Xu, Cunyin Peng, Yicheng Chen, Xiangyu Zhao, Jinjie Gu, Chenyi Zhuang

CoRR, May, 2025

E-Bench: Towards Evaluating the Ease-of-Use of Large Language Models.

Zhenyu Zhang, Bingguang Hao, Jinpeng Li, Zekai Zhang, Dongyan Zhao

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2023

From Global to Local: Multi-Scale Out-of-Distribution Detection.

Ji Zhang, Lianli Gao, Bingguang Hao, Hao Huang, Jingkuan Song, Hengtao Shen

IEEE Trans. Image Process., 2023