Zhang, Chenchen

6 publications

ICLR 2026 AutoCodeBench: Large Language Models Are Automatic Code Benchmark Generators Changzhi Zhou, Ao Liu, Yuchi Deng, Zhiying Zeng, Tao Zhang, Haotian Zhu, Jianwei Cai, Yue Mao, Chenchen Zhang, Lingyun Tan, ZiyanXU, Bohui Zhai, HengyiLIu, Speed Zhu, Wiggin Zhou, Fengzong Lian

ICLR 2026 OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs Caorui Li, Yu Chen, Yiyan Ji, Jin Xu, Zhenyu Cui, Shihao Li, Yuanxing Zhang, Zhenghao Song, Dingling Zhang, Heying, Haoxiang Liu, Yuxuan Wang, Qiufeng Wang, Jiafu Tang, Zhenhe Wu, Jiehui Luo, Zhiyu Pan, Weihao Xie, Chenchen Zhang, Zhaohui Wang, Jiayi Tian, Yanghai Wang, Zhe Cao, Minxin Dai, Ke Wang, Runzhe Wen, Yinghao Ma, Yaning Pan, Sungkyun Chang, Termeh Taheri, Haiwen Xia, Christos Plachouras, Emmanouil Benetos, Yizhi Li, Ge Zhang, Jian Yang, Tianhao Peng, Zili Wang, Minghao Liu, Junran Peng, Zhaoxiang Zhang, Jiaheng Liu

ACML 2025 FG-MSTGNN: Cross-Subject EEG Emotion Recognition via Frequency-Guided Multi-Period Spatial-Temporal Graph Neural Network Chenchen Zhang, Yanrong Hao, Xin Wen, Mengni Zhou, Fei Yuan, Rui Cao

ICLR 2025 MTU-Bench: A Multi-Granularity Tool-Use Benchmark for Large Language Models Pei Wang, Yanan Wu, Noah Wang, Jiaheng Liu, Xiaoshuai Song, Z.Y. Peng, Ken Deng, Chenchen Zhang, JiakaiWang, Junran Peng, Ge Zhang, Hangyu Guo, Zhaoxiang Zhang, Wenbo Su, Bo Zheng

NeurIPS 2024 D-CPT Law: Domain-Specific Continual Pre-Training Scaling Law for Large Language Models Haoran Que, Jiaheng Liu, Ge Zhang, Chenchen Zhang, Xingwei Qu, Yinghao Ma, Feiyu Duan, Zhiqi Bai, Jiakai Wang, Yuanxing Zhang, Xu Tan, Jie Fu, Jiamang Wang, Lin Qu, Wenbo Su, Bo Zheng

NeurIPS 2024 DDK: Distilling Domain Knowledge for Efficient Large Language Models Jiaheng Liu, Chenchen Zhang, Jinyang Guo, Yuanxing Zhang, Haoran Que, Ken Deng, Zhiqi Bai, Jie Liu, Ge Zhang, Jiakai Wang, Yanan Wu, Congnan Liu, Jiamang Wang, Lin Qu, Wenbo Su, Bo Zheng