David Wingate (@davidwingate) 's Twitter Profile
David Wingate

@davidwingate

Father of nine. Professor of computer science at BYU; working on big language models. Mormon and lovin' it!

ID: 157335213

linkhttp://pcc.cs.byu.edu/ calendar_today19-06-2010 14:17:07

27 Tweet

136 Followers

35 Following

Joshua Gubler (@joshua_gubler) 's Twitter Profile Photo

Excited and grateful that our research team just received an NSF EAGER grant to further research using large-scale language models to study human attitudes. A great team: Lisa Argyle Ethan Busby David Wingate Nancy Fulda Chris Rytting Tsor

Chris Bail (chris_bail_duke 🧵) (@chris_bail) 's Twitter Profile Photo

What would a social science Turing test look like? Amazing new research by Lisa Argyle et al. shows GPT-3 can create “silicon samples” that impersonate respondents to large surveys such as the American National Election with remarkable accuracy. tinyurl.com/yawzftfz.

What would a social science Turing test look like? Amazing new research by <a href="/lpargyle/">Lisa Argyle</a> et al. shows GPT-3 can create “silicon samples” that impersonate respondents to large surveys such as the American National Election with remarkable accuracy.   tinyurl.com/yawzftfz.
Andrew Carr (e/🤸) (@andrew_n_carr) 's Twitter Profile Photo

Can we use GPT-3 to better understand human preferences? It was trained on the internet after all. Really cool work from Lisa Argyle, David Wingate, Chris Rytting, and team arxiv.org/abs/2209.06899

Can we use GPT-3 to better understand human preferences? It was trained on the internet after all. 

Really cool work from <a href="/lpargyle/">Lisa Argyle</a>, <a href="/davidwingate/">David Wingate</a>, <a href="/ChrisRytting/">Chris Rytting</a>, and team

arxiv.org/abs/2209.06899
Chris Rytting (@chrisrytting) 's Twitter Profile Photo

In a new paper, we ask whether you can use GPT-3 to survey humans by simulating those humans and asking them questions, as opposed to interviewing the actual humans. arxiv.org/abs/2209.06899 w/ David Wingate Ethan Busby Joshua Gubler Lisa Argyle Nancy Fulda

In a new paper, we ask whether you can use GPT-3 to survey humans by simulating those humans and asking them questions, as opposed to interviewing the actual humans.

arxiv.org/abs/2209.06899 w/ <a href="/davidwingate/">David Wingate</a> <a href="/EthanBusby/">Ethan Busby</a> <a href="/joshua_gubler/">Joshua Gubler</a> <a href="/lpargyle/">Lisa Argyle</a> <a href="/NancyFulda/">Nancy Fulda</a>
D. Sivakumar (@dsivakumar) 's Twitter Profile Photo

Creative work! Theoretical CS has this idea of producing useful consequences of computational hardness (e.g., cryptography). This work has that flavor: if LLMs are biased, can we put that bias to good use? Probably many challenges ahead, but love the creativity.

Taylor Sorensen (@ma_tay_) 's Twitter Profile Photo

Prompts are the bread and butter of LLMs. ✨But can they be compressed?✨ In new work at Findings of EMNLP, we show that prompts can be compressed ⬇️ while maintaining the most crucial information! ℹ️

Prompts are the bread and butter of LLMs. ✨But can they be compressed?✨ In new work at Findings of EMNLP, we show that prompts can be compressed ⬇️ while maintaining the most crucial information! ℹ️
Joshua Gubler (@joshua_gubler) 's Twitter Profile Photo

Brendan Nyhan (@BrendanNyhan on 🟦☁️) GPT-3 is remarkable! We have a paper (forthcoming soon) that shows some of the power of GPT-3 when applied to social science — here’s the link to the arxiv version of the paper: arxiv.org/abs/2209.06899

John Nay (@johnjnay) 's Twitter Profile Photo

Using LLMs for social (simulation) science arxiv.org/abs/2209.06899 Once we figure out how to scale it, this approach could revolutionize agent-based simulation modeling for nuanced, multifaceted silicon samples cc Michael Bommarito,Computational Legal,@jg_environ h/t Jack Clark Import AI

Using LLMs for social (simulation) science arxiv.org/abs/2209.06899

Once we figure out how to scale it, this approach could revolutionize agent-based simulation modeling for nuanced, multifaceted silicon samples

cc <a href="/mjbommar/">Michael Bommarito</a>,<a href="/computational/">Computational Legal</a>,@jg_environ

h/t <a href="/jackclarkSF/">Jack Clark</a> Import AI
Jack Clark (@jackclarksf) 's Twitter Profile Photo

For Import AI, I wrote about a very special paper which I think has some significant implications. If we can use LLMs as proxies for people (for a certain level of detail and desired response accuracy), then I expect a bunch of strange things to happen. jack-clark.net/2022/10/11/imp…

For Import AI, I wrote about a very special paper which I think has some significant implications. If we can use LLMs as proxies for people (for a certain level of detail and desired response accuracy), then I expect a bunch of strange things to happen. jack-clark.net/2022/10/11/imp…
Jack Clark (@jackclarksf) 's Twitter Profile Photo

LLMs may not 'understand' people, but they are incredibly good at approximating people (and things that people do). The thing I find consistently confusing is figuring out where approximation ends and understanding begins. I myself feel most of my insights are from approximation

Lisa Argyle (@lpargyle) 's Twitter Profile Photo

Aviv Ovadya 🥦 abe Joon Sung Park Thanks for the interest in our work! We're working on figuring out how prompting GPT-3 compares to priming experiments with humans, but we don't have a systematic answer yet. Stay tuned! Nancy Fulda Joshua Gubler Ethan Busby David Wingate Chris Rytting

Andrew Carr (e/🤸) (@andrew_n_carr) 's Twitter Profile Photo

It's so cool to see this work go from a random idea Chris Rytting and team had to a significant and impactful paper. You all should read the paper and follow Chris.

Justin E. Lane (@cogijl) 's Twitter Profile Photo

This is today's #mustread and easily one of the top #ai papers of 2022 on first glance. I want to dig more into the methods on this, but my preliminary run through finds some fascinating patterns! Shea Brown , would you want to join F. LeRon Shults…lnkd.in/e2QR6SbW

Chris Bail (chris_bail_duke 🧵) (@chris_bail) 's Twitter Profile Photo

1/ Can AI chat assistants improve conversations about divisive topics such as gun control? I was very fortunate to join a team of outstanding researchers who designed an experiment intended to answer this question: arxiv.org/abs/2302.07268