🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

If you're a PhD student interested in interning with me or one of my amazing colleagues at Microsoft Research New England (Microsoft Research New England, Microsoft Research) this summer, please apply here jobs.careers.microsoft.com/global/en/shar…

I am super excited in taking part of this interesting work on understanding difference between human and LLMs in logical reasoning. Great experience in working with cognitive scientists Tiwa Eisape Ishita Dasgupta MH Tessler 🇺🇦 Tal Linzen along with Sjoerd van Steenkiste !

Please come to our poster #603 at neurips2023 Dec 14 afternoon to discuss how generative models can be used for turbulence modeling !

An exciting opportunity !

"rain supreme" ☔️

many thanks to my wonderful coauthors: Lizao Li, Rob Carver( Rob Carver ), Ignacio Lopez-Gomez, and John Anderson on this impactful interdisciplinary work.

Are you planning to attend #ICML2024 in Vienna? Why not come two days earlier and attend the Symposium "The Future of Machine Learning" at ISTAustria on July 19th? We'll have great speakers, free coffee, and enough space to meet and chat. fml2024.ista.ac.at ICML Conference

this is hilarious...yet painfully resonating. marialuisaaliotta.wordpress.com/wp-content/upl…

On Tuesday, 10:12 am at "Don Alberto 1" at #naacl2024 Tiwa Eisape will present his Google student researcher project where we compare humans' and LLMs' reasoning fallacies! (with Sjoerd van Steenkiste Dasgupta Fei Sha MH Tessler 🇺🇦) arxiv.org/abs/2311.00445

congratulations to my former student Wei-Lun Chao , who started working on zero/few-shot learning on visual recognition during his PhD time, with other members from the lab (Boqing Gong Soravit “Beer” Changpinyo )

Don't miss the Future of Machine Learning Symposium on July 19, 2024 at ISTAustria! Join leading experts to explore advancements and emerging trends in #MachineLearning. Register now 🔗 fml2024.ista.ac.at Fei Sha Katerina Fragkiadaki Thomas Kipf Michael Bronstein RIKEN Massachusetts Institute of Technology (MIT)

I sooo much agree with this. Academic jobs require juggling too many balls with barely any support (grant writing, teaching, managing a research group, supervising students and … research). Take two hrs everyday before you look at email and social media. search.app/nnTKNba5Dqv8Eu…

with Linlu Qiu Fei Sha Kelsey Allen Yoon Kim Tal Linzen and myself.

Hear hear , cheers !

Our team Google AI is hiring an intern. We are interested in having LMs understand and respond to users better. Topics include: teaching LMs to build “mental models” of users; improving LM's reasoning capability over long contexts. Google AI internship deadline is Feb 28.

Vladimir Vapnik once said "Nothing is more practical than a good theory." He also introduced the concept of privileged information in his book The Nature of Statistical Learning Theory. Glad to see it inspired this work. A great pleasure working with you, Jin Zhou !

LLMs are increasingly used as agents that interact with users. To do so successfully, LLMs need to form beliefs and update them when new information becomes available. Do LLMs do so as expected from an optimal strategy? If not, can we get them to follow this strategy? 🧵

Announcing the Test of Time awards for ICLR 2025! This award recognizes papers published ten years ago at ICLR 2015 that have had a lasting impact on the field. Congratulations to the authors! blog.iclr.cc/2025/04/14/ann…

a scholastically deep talk at ICLR 2026 workshop, by Yoshua Bengio on designing Scientist AI (honest, non-agentic AI) as a safe building block and guardrail for agentic AI (a talk with similar contents at Simons Institute for the Theory of Computing : youtube.com/watch?v=hybMno…)

I just watched a great compilation of various people's views about what is coming: x.com/Scr0nkf1nkle/s…