🔥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

Dj is an OUTSTANDING mentor and researcher!!!!! Anyone would be lucky to work with him! Fantastic for ServiceNow Research that Dj is on their team :)

Giuseppe Riva Anna Wexler Ashley Feinsinger Nils Köbis .Katie Collins et al. advance a new Perspective of how we can build systems that complement our limitations and can be considered thought partners. Ilia Sucholutsky Umang Bhatt Kartik Chandra (also on Mastodon and Bsky) Mina Lee xuan (ɕɥɛn / sh-yen) Mark Ho Vikash Mansinghka Adrian Weller [9/13] nature.com/articles/s4156…

It was great fun working with Krishnamurthy (Dj) Dvijotham Katie Collins and colleagues on this paper. Check out the poster if you are at AI, Ethics, and Society Conference (AIES)

Happening tomorrow!! Zoom seminar for the pre-workshop series of our upcoming NeurIPS Behavioral ML Workshop Workshop! Featuring a fascinating talk by Benjamin LiraLuttges from Penn ! There's still time to sign-up to join the talk [Mon Nov 11, 3-4pm ET / 8-9pm UK] forms.gle/wZW15hizRBEajb…

Really excited for Marcel Binz 's talk next Monday! Sign up here if interested! forms.gle/pT9oyic5tMbpWY…

📢📢 Just two days left until our Summit on Open Problems for AI in Boston: algopreneurship.ai Algorithms (4th Dec), Ethics & Society (5th), and Applications & Entrepreneurship (6th) at the awesome Museum of Science. We've got a great set of topics, stellar line-up, and

Super excited for our awesome line-up of speakers tomorrow at the Behavioral ML workshop! If you're at NeurIPS Conference , come stop by East Meeting Rooms 19&20!

Catch me in a few days at #AAAI2025 🏛️🔔! I'll be presenting our work on “Learning Personalized Decision Support Policies” at: 📅Poster (Session 3) on March 1 @ 12:30p 🎙️Oral (Humans and AI 5) on March 2 @ 2:54p DM to chat about human-ai collab, coding agents, and better evals!

Many studies suggest AI has achieved human-like performance on various cognitive tasks. But what is “human-like” performance? Our new paper conducted a human re-labeling of several popular AI benchmarks and found widespread biases and flaws in task and label designs. We make 5

New Paper: We unlock AI Evaluation with explanatory and predictive power through general ability scales! -Explains what common benchmarks really measure -Extracts explainable ability profiles of AI systems -Predicts performance for new task instances, in & out-of-distribution 🧵

#ICLR2025 Oral How can we control LMs using diverse signals such as static analyses, test cases, and simulations? In our paper “Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo” we: Cast controlled generation as an inference problem, with the LM

The presentation is happening today at the Programming and Software Use session (G401)! More details about the paper below👇

📢 New Preprint: What happens at a population level when humans learn from AI systems that themselves learned from us? We extended the classic "Rogers' Paradox" to explore human-AI learning networks—and found some surprising results! 🤖🧠 (Paper link in 🧵)

Ilia is AWESOME!!!!!! Anyone would be lucky to work with him! Super super excited for him and his new group -- congrats Purdue!

SUPER excited for our upcoming workshop at CogSci!! Do please stop by if you’re interested in how we decide how to decide!