Happy to present our work now, come by and say hi! ☺️

🧠Foundation models are powerful—but what happens when they remember too much? Join us at #ICML2025 for our workshop on “The Impact of Memorization on Trustworthy Foundation Models” 👉icml2025memfm.github.io Let’s talk about memorization & what it takes to build trustworthy AI!

🔥"Where is the Truth? The Risk of Getting Confounded in a Continual World" got a spotlight poster ICML Conference ! arxiv.org/abs/2402.06434 -> we introduce continual confounding + the ConCon dataset, where confounders over time render continual knowledge accumulation insufficient⬇️

Had a fantastic time at the Women in Data Science (WiDS) Zurich conference today! I had the chance to present my work on Bongard Problems and connect with many inspiring women in data science. Grateful for the insightful talks and engaging conversations! ✨ #WiDS2025 #WomenInTech

📢 New LLM benchmark out, built to test logical reasoning! 🚂🧩 Evaluate your LLM on our SLR-Bench or create your own benchmark with our SLR framework 🚀 Check it out 👉 huggingface.co/datasets/AIML-…

I'll be at #ICML2025 next week presenting our recent work on VLMs and Bongard Problems! Feel free to reach out, happy to have a chat ☺️

Asa Cooper Stickland david rein Yeah, the models are "PhD-level" in what domains? They aren't even elementary-school-level in clockwise vs counter-clockwise. arxiv.org/abs/2410.19546 Antonia Wüst