whoever wrote this Slack deserves a raise

I’ll be in Toronto for #ACL2023 👋🏼 Would be happy to meet and chat everything LLMs, in-context learning, reasoning, etc

Siva is incredible to work with! Great opportunity

surprisingly, I haven’t seen a lot of chatGPT mentions in #ACL2023NLP talks

I won’t be at #EMNLP2023 or Neurips, but Nicolas Le Roux will be presenting our work “Joint Prompt Optimization of Stacked LLMs using Variational Inference” at #NeurIPS2023 paper : arxiv.org/abs/2306.12509 Great work led by Alessandro Sordoni and Eric Xingdi Yuan

Very nice work on LLMs generating reasoning that helps them infer future tokens. Also a big fan of the quote used

the devil is in the details

Only one day left to submit long, short papers or extended abstracts to Repl4NLP details: sites.google.com/view/repl4nlp2…

📢 Exciting update! More details on the invited speakers for #Repl4NLP 2024 are now available. Looking forward to talks from Mor Geva, @dieuwke, Hassan Sajjad, and Edoardo Ponti 👉 sites.google.com/view/repl4nlp2…

V-STaR is accepted at Conference on Language Modeling First ever conference on language modeling!

Second paper also accepted at Conference on Language Modeling led by the amazing Costa Huang 🎉

Fun collaboration from my time at Google 👇🏻

More details about GenRM in this thread 🧵

Synthetic data from weaker, smaller models is better than that of bigger, stronger models to improve reasoning capabilities! Another fun collaboration at Google led by Hritik Bansal — this was one of the most well-motivated projects I ever worked on. details below 👇🏻

was about to say the same. (tweet scooped)