Excited to share our new paper on language model self-improvement! Paper: arxiv.org/abs/2505.16927 We introduce Self-Taught Principle Learning (STaPLe), a new approach for LMs to generate their own constitutions, by learning the principles that are most effective to self-correct their responses.

I'm at #ICLR2025 🇸🇬 and will be presenting Conformal Language Model Reasoning with Coherent Factuality (arXiv to come soon) this afternoon (4/24, poster session 2)! This work is with my amazing collaborators Max Rubin-Toles, Maya Gambhir, @aaroth.bsky.social, and @surbhigoel.bsky.social!

Announcement #1: our call for papers is up! 🎉 colmweb.org/cfp.html And excited to announce the COLM 2025 program chairs @yoavartzi.com @eunsol.bsky.social @ranjaykrishna.bsky.social and @adtraghunathan.bsky.social

I'll be at NeurIPS tomorrow and Saturday 🇨🇦! DM me if you're working on alignment, reasoning, data-centric methods, or uncertainty quantification and would like to chat!