Nan Duan14 papers on this site (2020–2024)AGIEval: A Human-Centric Benchmark for Evaluating Foundation ModelsWanjun Zhong, Ruixiang Cui, Yiduo Guo, et al.2024AnnoLLM: Making Large Language Models to Be Better Crowdsourced AnnotatorsXingwei He, Zhenghao Lin, Yeyun Gong, et al.2023Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat DataCanwen Xu, Daya Guo, Nan Duan, et al.2023CMMLU: Measuring massive multitask language understanding in ChineseHaonan Li, Yixuan Zhang, Fajri Koto, et al.2023CRITIC: Large Language Models Can Self-Correct with Tool-Interactive CritiquingZhibin Gou, Zhihong Shao, Yeyun Gong, et al.2023Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation SynergyZhihong Shao, Yeyun Gong, Yelong Shen, et al.2023Query Rewriting in Retrieval-Augmented Large Language ModelsXinbei Ma, Yeyun Gong, Pengcheng He, et al.2023ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem SolvingZhibin Gou, Zhihong Shao, Yeyun Gong, et al.2023Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation ModelsChenfei Wu, Shengming Yin, Weizhen Qi, et al.2023UniXcoder: Unified Cross-Modal Pre-training for Code RepresentationDaya Guo, Shuai Lu, Nan Duan, et al.2022GraphCodeBERT: Pre-training Code Representations with Data FlowDaya Guo, Shuo Ren, Shuai Lu, et al.2021CodeBERT: A Pre-Trained Model for Programming and Natural LanguagesZhangyin Feng, Daya Guo, Duyu Tang, et al.2020K-Adapter: Infusing Knowledge into Pre-Trained Models with AdaptersRuize Wang, Duyu Tang, Nan Duan, et al.2020XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and GenerationYaobo Liang, Nan Duan, Yeyun Gong, et al.2020