I'm so excited about StochasTok. It's such a simple and effective methods, leading to big win for sub-token understanding of LLMs, with very little loss in terms of code complexity, compute cost, or overall performance. Great work @anyaasims.bsky.social !

🚀Introducing “StochasTok: Improving Fine-Grained Subword Understanding in LLMs”!🚀 LLMs are incredible but still struggle disproportionately with subword tasks, e.g., for character counts, wordplay, multi-digit numbers, fixing typos… Enter StochasTok, led by Anya Sims! [1/]

‪at #ICLR2025? 🇸🇬 check out Cong Lu talk about our work on a novel stochastic tokenisation method, StochasTok, on Mon, 4:20 PM @ Hall 4 #6 - work w/ Anya Sims @yeewhye.bsky.social @jfoerst.bsky.social and Thom Foster

Awesome work by Kia @leoeleoleo1.bsky.social and @rob-cornish.bsky.social !

🧪 #MLSky #StatSky #uncertainty #AI #ML #LLM #UQ #NLP

📣 Jobs alert We’re hiring postdoc and research engineer to work on UQ for LLMs!! Details ⬇️ #ai #llm #uq

~ 1 week left to apply - come work with us! 🤗

Postdoctoral fellowships and research engineer positions available for an Oxford+Singapore project on uncertainty quantification in LLMs! docs.google.com/document/d/1... Oxford deadline is Feb 26. Pls apply if interested, forward to your contacts, contact me if you have questions 🙏🙏

Interested in a PhD in AI for the Environment? Applications for >20 fully funded studentships in our Intelligent Earth UKRI Centre for Doctoral Training @intelligentearth.bsky.social @ox.ac.uk are closing tomorrow at 12:00 GMT! Find all details on our webpage: intelligent-earth.ox.ac.uk/how-apply

New CDT on Fundamentals of AI just started at @ox.ac.uk in collaboration with Ellison Institute of Technology Oxford.