EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models. - Peng Wang 104; Ningyu Zhang 001; Bozhong Tian; Zekun Xi; Yunzhi Yao; Ziwen Xu; Mengru Wang; Shengyu Mao; Xiaohan Wang; Siyuan Cheng 008; Kangwei Liu; Yuansheng Ni; et al. (CoRR, 2023)

MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI. - Xiang Yue; Yuansheng Ni; Tianyu Zheng; Kai Zhang 033; Ruoqi Liu; Ge Zhang 009; Samuel Stevens 001; Dongfu Jiang; Weiming Ren; Yuxuan Sun 002; Cong Wei 001; Botao Yu; et al. (CVPR, 2024)

VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation. - Xuan He; Dongfu Jiang; Ge Zhang 009; Max Ku; Achint Soni; Sherman Siu; Haonan Chen; Abhranil Chandra; Ziyan Jiang; Aaran Arulraj; Kai Wang 068; Quy Duc Do; et al. (EMNLP, 2024)

GenAI Arena: An Open Evaluation Platform for Generative Models. - Dongfu Jiang; Max Ku; Tianle Li; Yuansheng Ni; Shizhuo Sun; Rongqi Fan; Wenhu Chen (NeurIPS, 2024)

II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models. - Ziqiang Liu; Feiteng Fang; Xi Feng; Xeron Du; Chenhao Zhang 005; Noah Wang; Yuelin Bai; Qixuan Zhao; Liyang Fan; Chengguang Gan; Hongquan Lin; Jiaming Li 004; et al. (NeurIPS, 2024)

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark. - Yubo Wang; Xueguang Ma; Ge Zhang 009; Yuansheng Ni; Abhranil Chandra; Shiguang Guo; Weiming Ren; Aaran Arulraj; Xuan He; Ziyan Jiang; Tianle Li; Max Ku; et al. (NeurIPS, 2024)

A Comprehensive Study of Knowledge Editing for Large Language Models. - Ningyu Zhang 001; Yunzhi Yao; Bozhong Tian; Peng Wang 104; Shumin Deng; Mengru Wang; Zekun Xi; Shengyu Mao; Jintian Zhang; Yuansheng Ni; Siyuan Cheng 008; Ziwen Xu; et al. (CoRR, 2024)

II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models. - Ziqiang Liu; Feiteng Fang; Xi Feng; Xinrun Du; Chenhao Zhang 005; Zekun Wang; Yuelin Bai; Qixuan Zhao; Liyang Fan; Chengguang Gan; Hongquan Lin; Jiaming Li 004; et al. (CoRR, 2024)

MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark. - Xiang Yue; Tianyu Zheng; Yuansheng Ni; Yubo Wang; Kai Zhang 033; Shengbang Tong; Yuxuan Sun 002; Botao Yu; Ge Zhang 009; Huan Sun 001; Yu Su 001; Wenhu Chen; et al. (ACL (1), 2025)

MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks. - Jiacheng Chen; Tianhao Liang; Sherman Siu; Zhengqing Wang; Kai Wang 068; Yubo Wang; Yuansheng Ni; Ziyan Jiang; Wang Zhu 001; Bohan Lyu 001; Dongfu Jiang; Xuan He; et al. (ICLR, 2025)

SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines. - M.-A-P. Team; Xinrun Du; Yifan Yao; Kaijing Ma; Bingli Wang; Tianyu Zheng; Kang Zhu; Minghao Liu; Yiming Liang; Xiaolong Jin; Zhenlin Wei; Chujie Zheng; et al. (CoRR, 2025)

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? - Hui Shen; Taiqiang Wu; Qi Han; Yunta Hsieh; Jizhou Wang; Yuyue Zhang; Yuxin Cheng; Zijian Hao; Yuansheng Ni; Xin Wang; Zhongwei Wan; Kai Zhang 033; et al. (CoRR, 2025)

VisCoder: Fine-Tuning LLMs for Executable Python Visualization Code Generation. - Yuansheng Ni; Ping Nie; Kai Zou; Xiang Yue; Wenhu Chen (CoRR, 2025)