Any paper with Yejin Choi on it is a must read.

Honored to receive the best paper award!

LLM-as-a-judge has become a norm, but how can we be sure that it will really agree with human annotators? 🤔In our new paper, we introduce a principled approach to provide LLM judges with provable guarantees of human agreement⚡ #LLM #LLM_as_a_judge #reliable_evaluation 🧵[1/n]

Interested in LLMs and Lean? Check out LLMLean, a tool for using LLMs to suggest proof steps and complete proofs in Lean: github.com/cmu-l3/llmlean Here's an example of using LLMLean with GPT-4o to solve problems from Mathematics in Lean:

After 7 months on the job market, I am happy to announce: - I joined Ai2 - Professor at Carnegie Mellon University from Fall 2025 - New bitsandbytes maintainer Titus von Koeller My main focus will be to strengthen open-source for real-world problems and bring the best AI to laptops 🧵

📣 After graduating from @UWCSE, I am joining UC Berkeley as an Assistant Professor (affiliated w Berkeley AI Research BerkeleyNLP) and Ai2 as a Research Scientist. I'm looking forward to tackling exciting challenges in NLP & generative AI together with new colleagues! 🐻✨

📣 I'm thrilled to share that I’ll be joining MIT as an assistant professor this fall, joint between MIT Media Lab & MIT EECS. My group will advance the foundations of multisensory AI to enhance the human experience. I look forward to tackling exciting challenges in multimodal AI

Welcome Zhijian!!! 😄😄😄

I’m deeply concerned about California’s SB-1047, Safe and Secure Innovation for Frontier Artificial Intelligence Models Act. While well intended, this bill will not solve what it is meant to and will deeply harm #AI academia, little tech and the open-source community.

(1/n) Check out our new paper Communicate to Play! 📜 We study cross-cultural communication and pragmatic reasoning in interactive gameplay 😃 Paper: arxiv.org/abs/2408.04900 Code: github.com/icwhite/codena… Talk: youtube.com/watch?v=r_tNbZ…

My lab will move to NYU Data Science and NYU Courant this Fall! I’m excited to connect with amazing researchers at CILVR and larger ML/NLP community in NYC. I will be recruiting students this cycle at NYU. Happy to be back to the city 🗽on the east coast as well. I had a

🥳Our work on Multi-Model Theory of Mind evaluation won the #ACL2024 Outstanding Paper Award! How well can machines 🤖 form a coherent mental picture🧠of humans from vision-language observations? Can machines understand humans' goals and beliefs? Our MMToM-QA shows models

Excited to share that I will be joining UCSD CSE as an assistant professor in January 2026! I'll be recruiting PhD students from the 2024 application pool - if you're interested in anything ML Sys/efficiency/etc please reach out & put my name on your application! Until then

Introducing *Transfusion* - a unified approach for training models that can generate both text and images. arxiv.org/pdf/2408.11039 Transfusion combines language modeling (next token prediction) with diffusion to train a single transformer over mixed-modality sequences. This

ACE is another effort of our group to build open-sourced teleoperation systems. 💲It is low-cost: $500. 🤖It allows one single device to control all different robots, hands and grippers. 😎It does NOT have a VR device on your head, which can be heavy and quite tiring frankly

I'm very excited to be starting my dream job as faculty at UBC Computer Science CAIDA_UBC in 2025 and postdoc-ing with Christopher Potts at Stanford HAI Stanford NLP Group this year! I am recruiting students this cycle who are curious to explore the mysteries and limitations of LMs / GenAI ...

Lots of effort spent on training AI to replace humans but not enough on AI to *complement* human abilities We draw from edu psych and present TaskForge, a framework to collect highly complex multi agent human-AI colab problem solving data using games arxiv.org/abs/2408.08853

Excited to work on #Physics-Guided #LLMs !

do we want to know which variables are direct causes of a target outcome, or the full dependencies among all variables? gradually i started to think that it's probably neither, since the utility of each cause is not a function of the distance to the target outcome variable but