Zhao, Jinman

5 publications

ICLRW 2025 Towards Comprehensive Preference Data Collection for Reward Modeling Yulan Hu, Qingyang Li, Sheng Ouyang, Ge Chen, Jinman Zhao, Yong Liu

ICMLW 2024 CD-POS: Long Context Generalization in LLMs Through Continuous and Discrete Position Synthesis Zhiyuan Hu, Yuliang Liu, Jinman Zhao, Suyuchen Wang, WangYan, Wei Shen, Chao Yin, Bryan Hooi

AAAI 2023 Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion Hengzhi Pei, Jinman Zhao, Leonard Lausen, Sheng Zha, George Karypis

NeurIPS 2023 Large Language Models of Code Fail at Completing Code with Potential Bugs Tuan Dinh, Jinman Zhao, Samson Tan, Renato Negrinho, Leonard Lausen, Sheng Zha, George Karypis

NeurIPS 2018 The Effect of Network Width on the Performance of Large-Batch Training Lingjiao Chen, Hongyi Wang, Jinman Zhao, Dimitris Papailiopoulos, Paraschos Koutris