Jinghan Zhang

According to our database, Jinghan Zhang authored at least 10 papers between 2023 and 2026.

Collaborative distances:

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

2026

SkillCraft: Can LLM Agents Learn to Use Tools Skillfully?

Shiqi Chen, Jingze Gai, Ruochen Zhou, Jinghan Zhang, Tongyao Zhu, Junlong Li, Kangrui Wang, Zihan Wang, Zhengyu Chen, Klara Kaleb, Ning Miao, Siyang Gao, Cong Lu, Manling Li, Junxian He, Yee Whye Teh

CoRR, March, 2026

How Can Synthetic Data Improve Multilingual Language Model Pretraining? A Data Quality Perspective.

Tongyao Zhu, Qian Liu, Chang Ma, Jinghan Zhang, Longxu Dou, Junxian He, Shiqi Chen

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

2025

Internalizing World Models via Self-Play Finetuning for Agentic RL.

Shiqi Chen, Tongyao Zhu, Zian Wang, Jinghan Zhang, Kangrui Wang, Siyang Gao, Teng Xiao, Yee Whye Teh, Junxian He, Manling Li

CoRR, October, 2025

Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas.

Shiqi Chen, Tongyao Zhu, Ruochen Zhou, Jinghan Zhang, Siyang Gao, Juan Carlos Niebles, Mor Geva, Junxian He, Jiajun Wu, Manling Li

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging.

Shiqi Chen, Jinghan Zhang, Tongyao Zhu, Wei Liu, Siyang Gao, Miao Xiong, Manling Li, Junxian He

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Compression Represents Intelligence Linearly.

Yuzhen Huang, Jinghan Zhang, Zifei Shan, Junxian He

CoRR, 2024

2023

Composing Parameter-Efficient Modules with Arithmetic Operations.

Jinghan Zhang, Shiqi Chen, Junteng Liu, Junxian He

CoRR, 2023

Composing Parameter-Efficient Modules with Arithmetic Operation.

Jinghan Zhang, Shiqi Chen, Junteng Liu, Junxian He

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models.

Yuzhen Huang, Yuzhuo Bai, Zhihao Zhu, Junlei Zhang, Jinghan Zhang, Tangjun Su, Junteng Liu, Chuancheng Lv, Yikai Zhang, Jiayi Lei, Yao Fu, Maosong Sun, Junxian He

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FELM: Benchmarking Factuality Evaluation of Large Language Models.

Shiqi Chen, Yiran Zhao, Jinghan Zhang, I-Chun Chern, Siyang Gao, Pengfei Liu, Junxian He

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023