[about]
[papers]
[travels]
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]
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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