bethgelab.bsky.social
Machine Learning and Neuroscience Lab @ Uni Tuebingen, PI: Matthias Bethge, bethgelab.org
👤 Joined on 19 November 2024
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@bethgelab.bsky.social🚨 We're hiring: Research Coordinator for CRC Robust Vision @unituebingen.bsky.social Take a leading role in our DFG funded consortium in neuroscience, ML & CV MSc/PhD + science mgmt. Apply by Mar 15 👇 join our team w/ @jakhmack.bsky.social @bethgelab.bsky.social uni-tuebingen.de/en/universit...
Show PostMuon is a (relatively) new optimizer that powered large-scale training of recent foundation models, e.g., Kimi K2 and GLM 4.5. Interested in learning how it works? Check out the video here: youtu.be/bO5nvE289ec
Show PostExcited to be in Vienna for #ACL2025 🇦🇹!You'll find @dziadzio.bsky.social and I by our ONEBench poster, so do drop by! 🗓️Wed, July 30, 11-12:30 CET 📍Hall 4/5 I’m also excited to talk about lifelong and personalised benchmarking, data curation and vision-language in general! Let’s connect!
Show Post🧵1/ 🚨 New paper: A Sober Look at Progress in Language Model Reasoning We re-evaluate recent SFT and RL models for mathematical reasoning and find most gains vanish under rigorous, multi-seed, standardized evaluation. 📊 bethgelab.github.io/sober-reason... 📄 arxiv.org/abs/2504.07086
Show Post🧠 Keeping LLMs factually up to date is a common motivation for knowledge editing. But what would it actually take to support this in practice at the scale and speed the real world demands? We explore this question and really push the limits of lifelong knowledge editing in the wild. 👇
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