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Chenglei Si

[email] [scholar] [twitter] [github]
1st Year PhD Student at Stanford NLP

About

 At Stanford, I'm rotating with Diyi Yang, Michael Bernstein, and Tatsu Hashimoto. Before coming to Stanford, I did my undergrad at the University of Maryland where I was advised by Jordan Boyd-Graber.

Very recently, I have pivoted my research agenda to think about AGI and Machine Culture. As AI researchers, we have seen ample studies on how to adapt AI to align with human values, or complement human capabilities. But while humans are re-designing modern AI, the increasingly powerful and ubiquitous AI technologies (GPT-4, Midjourney, AlphaFold) are also producing real artifacts, impacting real people, and changing the way we humans think, communicate, and collaborate. At a macro level, the rise of AGI is profoundly shaping our value, culture, governance, economy, and incentives as a society. I am intrigued to design empirical studies to rigorously understand such impact both at the individual level and at the societal level, and to envision the future of human-AGI symbiosis.

When not writing papers, I also write research related Twitter threads for fun.

Recent Papers
  • Design2Code: How Far Are We From Automating Front-End Engineering?
    Chenglei Si*, Yanzhe Zhang*, Zhengyuan Yang, Ruibo Liu, Diyi Yang
    preprint [paper] [code] [project page] [tweet]

  • Large Language Models Help Humans Verify Truthfulness -- Except When They Are Convincingly Wrong
    Chenglei Si, Navita Goyal, Sherry Tongshuang Wu, Chen Zhao, Shi Feng, Hal Daumé III, Jordan Boyd-Graber
    NAACL 2024 [paper] [tweet]

  • Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations
    Chenglei Si*, Dan Friedman*, Nitish Joshi, Shi Feng, Danqi Chen, He He
    ACL 2023 [paper] [code] [tweet] [OpenReview]

  • Prompting GPT-3 To Be Reliable
    Chenglei Si, Zhe Gan, Zhengyuan Yang, Shuohang Wang, Jianfeng Wang, Jordan Boyd-Graber, Lijuan Wang
    ICLR 2023 [paper] [code] [tweet] [video]

Travels
  • Oct 2023, UIST @ San Francisco
  • July 2023, ACL @ Toronto
  • May 2023, ICLR @ Kigali
  • March 2023, Visit Day @ Stanford
  • March 2023, Visit Day @ NYU
  • Dec 2022, EMNLP @ Abu Dhabi
  • Summer 2022, Internship + NAACL @ Seattle