Happening NOW at #NeurIPS2023 #ICBINB workshop: A fiery panel with David Krueger, Tatiana Likhomanenko, Christoph Lampert, & Aaron Schein, steered by Naomi Saphra! They're tackling the promise & perils of LLMs.

🎉 Huge congrats to the winners of the Best Poster, Didactic Paper, and Entropic Paper awards at our 2023 NeurIPS ICBINB Workshop! Your contributions to 'Failure Modes in the Age of Foundation Models' are truly exceptional. 🚀 #NeurIPS2023 #ICBINB

A massive thank you to everyone who contributed to the success of our #NeurIPS23 Workshop! To our authors, reviewers, speakers, attendees, advisors, and especially to our workshop organizers! Kelly Buchanan Rui Yang Fan Feng Andreas Kriegler Yubin Xie @ianxmason Tobias Uelwer

Excited to announce that our workshop "I Can't Believe It's Not Better: Challenges in Applied Deep Learning" has been accepted at #ICLR2025! 🎉 Stay tuned for updates on the agenda, and paper submissions.

Our #ICLR2025 ICLR 2026 workshop is looking for submissions on unexpected outcomes and hard-earned lessons in #DeepLearning Submission Deadline: 03 February 2025 Workshop Dates: 27 or 28 April 2025 Location: Singapore More info: shorturl.at/OpQns

We extended the submission deadline to February 6th, 2025!

ICLR 2025 starts next week! Our workshop “I Can’t Believe It’s Not Better” is on April 28 (Singapore time) — join us to talk real-world challenges in applying deep learning and foundation models across fields. 📍 iclr.cc/virtual/2025/w…

🔥 Speaker spotlight for I Can’t Believe It’s Not Better #ICLR2025! Sunayana Sitaram (Microsoft Research) will dive into how LLMs fail in non-dominant languages—mistranslations, bias, and cultural blind spots. What does it mean for inclusion in AI? 🗓️ April 28 | 📍 Singapore

🧠 Speaker spotlight for I Can’t Believe It’s Not Better #ICLR2025! Nick Haber (Stanford) will explore where reasoning-capable LLMs still fall short — and what that means for learning, education, and human-AI collaboration. 🗓️ April 28 | 📍 Singapore

🎯 Speaker spotlight for I Can’t Believe It’s Not Better #ICLR2025! Otilia Stretcu (Google Research) will unpack why classification still breaks in the real world—and how LLMs might help (or not). It’s messier than the benchmarks suggest. 🗓️ April 28 | 📍 Singapore

📢 Speaker spotlight for I Can’t Believe It’s Not Better #ICLR2025! John Kalantari (YRIKKA / Univ. of Minnesota) will tackle the myth of generalizability in DL—why context isn’t a footnote, but the key to real-world impact. Especially in high-stakes fields like healthcare.

🔬 Speaker spotlight for I Can’t Believe It’s Not Better #ICLR2025! Roberta Raileanu (Meta) will talk about using LLMs to automate scientific discovery—how far are we really? She’ll introduce MLGym & show why real-world AI research is still far from solved. 🗓️ April 28

🤖 Speaker spotlight for I Can’t Believe It’s Not Better #ICLR2025! Yutaro Yamada (Sakana AI) will present “The AI Scientist-v2” — an agentic system that wrote & submitted papers to our workshop. What does this mean for peer review, novelty, and research norms? 🗓️ April 28

Our I Can’t Believe It’s Not Better #ICLR2025 workshop is live! 🎤 Come by Hall 4 #1 — we’re talking real-world challenges, failures, and surprises in applied deep learning. Still plenty of great talks and posters coming up! 📍 Hall 4 #1 | 🕒 Happening now!

I’ll be giving a talk at 2:20pm today at the I Can't Believe It's Not Better! #ICLR2025 titled “Automating Scientific Discovery: How Far Are We?”. Come by if you are interested in the topic!