Reposted by Vishaal UdandaraoAndreas Hochlehnert @ahochlehnert.bsky.social · 17/02/2025CuratedThoughts: Data Curation for RL Datasets 🚀 Since DeepSeek-R1 introduced reasoning-based RL, datasets like Open-R1 & OpenThoughts emerged for fine-tuning & GRPO. Our deep dive found major flaws — 25% of OpenThoughts needed elimination by data curation. Here's why 👇🧵 1139
Reposted by Vishaal UdandaraoAndreas Kirsch @blackhc.bsky.social · 07/01/2025Ever wondered why presenting more facts can sometimes *worsen* disagreements, even among rational people? 🤔 It turns out, Bayesian reasoning has some surprising answers - no cognitive biases needed! Let's explore this fascinating paradox quickly ☺️ 824283
Reposted by Vishaal UdandaraoPaul Vicol @paulvicol.bsky.social · 19/12/2024🎉 Had fun at #NeurIPS2024 Workshop on #AdaptiveFoundationModels! 🚀 Speakers: @rsalakhu.bsky.social @sedielem.bsky.social Kate Saenko, Matthias Bethge / @vishaalurao.bsky.social Minjoon Seo, Bing Liu, Tianqi Chen 🌐Posters: adaptive-foundation-models.org/papers 🎬 neurips.cc/virtual/2024... 🧵Recap! 1102
Reposted by Vishaal UdandaraoPaul Vicol @paulvicol.bsky.social · 19/12/2024Our workshop in numbers: 🖇️ 128 Papers 💬 8 Orals 🖋️ 564 Authors ✅ 40 Reviewers 🔊 7 Invited Speakers 👕 100 T-Shirts 🔥 Organizers: Paul Vicol, Mengye Ren, Renjie Liao, Naila Murray, Wei-Chiu Ma, Beidi Chen #NeurIPS2024 #AdaptiveFoundationModels 111
Reposted by Vishaal UdandaraoAdhiraj Ghosh @adhirajghosh.bsky.social · 10/12/2024🚨Looking to test your foundation model on an arbitrary and open-ended set of capabilities, not explicitly captured by static benchmarks? 🚨 Check out ✨ONEBench✨, where we show how sample-level evaluation is the solution. 🔎 arxiv.org/abs/2412.06745 1185
Reposted by Vishaal UdandaraoKarsten Roth @confusezius.bsky.social · 10/12/2024😵💫 Continually pretraining large multimodal models to keep them up-to-date all-the-time is tough, covering everything from adapters, merging, meta-scheduling to data design and more! So I'm really happy to present our large-scale study at #NeurIPS2024! Come drop by to talk about all that and more! 1406
Vishaal Udandarao @vishaalurao.bsky.social · 02/12/2024🚀New Paper: Active Data Curation Effectively Distills Multimodal Models arxiv.org/abs/2411.18674 Smol models are all the rage these days & knowledge distillation (KD) is key for model compression! We show how data curation can effectively distill to yield SoTA FLOP-efficient {C/Sig}LIPs!! 🧵👇 1236
Reposted by Vishaal UdandaraoAri Morcos @arimorcos.bsky.social · 29/11/2024ICYMI, check out our latest results @datologyai.com on curating data for LLMs. Intervening only on training data, our pipeline can train models faster (7.7x less compute), better (+8.5% performance), and smaller (models half the size outperform by >5%)! www.datologyai.com/post/technic...datologyai.comTechnical Deep-Dive: Curating Our Way to a State-of-the-Art Text DatasetOur data curation pipeline to obtain substantial improvements in LLM quality, training speed, and inference efficiency. 052
Reposted by Vishaal UdandaraoKarsten Roth @confusezius.bsky.social · 28/11/2024🤔 Can you turn your vision-language model from a great zero-shot model into a great-at-any-shot generalist? Turns out you can, and here is how: arxiv.org/abs/2411.15099 Really excited to this work on multimodal pretraining for my first bluesky entry! 🧵 A short and hopefully informative thread: 213324
Reposted by Vishaal UdandaraoAkari Asai @akariasai.bsky.social · 19/11/20241/ Introducing ᴏᴘᴇɴꜱᴄʜᴏʟᴀʀ: a retrieval-augmented LM to help scientists synthesize knowledge 📚 @uwnlp.bsky.social & Ai2 With open models & 45M-paper datastores, it outperforms proprietary systems & match human experts. Try out our demo! openscholar.allen.ai 616339
Reposted by Vishaal UdandaraoSebastian Dziadzio @dziadzio.bsky.social · 19/11/2024Here's a fledgling starter pack for the AI community in Tübingen. Let me know if you'd like to be added! go.bsky.app/NFbVzrAgo.bsky.appTübingen AIJoin the conversation 182513