In this talk, the speaker will share recent work along these lines, with a focus on logical reasoning. Firstly, the speaker will describe a comprehensive evaluation revealing surprises and limitations in LLM's ability to reason in-context through chain-of-thought prompting. Following this, the methods to improve the stability and calibration of ICL will be discussed.
【本期嘉宾】
何河 纽约大学助理教授
Assistant Professor of Computer Science and Center for Data Science at New York University, and a visiting academic at AWS AI. Her current research focuses on improving robustness and truthfulness of NLP models, and building interactive systems that collaborate with humans. Before joining NYU in 2019, she obtained her PhD in 2016 from the University of Maryland, College Park, did a post-doc at Stanford, and spent one year at AWS. She is the recipient of a NeurIPS demonstration award and Larry S. Davis dissertation award. She has won research awards and grants from Google, Amazon, Cisco, Samsung, and Open Philanthropy.
【主持人】
马兴军 复旦大学与上海人工智能实验室双聘研究员、博士生导师
【上海人工智能实验室学术论坛】
“上海人工智能实验室学术论坛”分设“星河Talk”与“星启Talk”两个主题系列活动,将分别邀请全球顶尖教授和杰出青年学者作为嘉宾,线上线下分享学术成果、探讨科技前沿。更多精彩内容,敬请期待。
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