Jason Eisner & Li Du’s “Syntactic and semantic control of large language models via sequential Monte Carlo” with @joaoloula.bsky.social, @benlipkin.bsky.social, @yahyaemara.bsky.social, @alexlew.bsky.social, @xtimv.bsky.social, & more presents an architecture for controlled LM generation: (11/12)

Syntactic and Semantic Control of Large Language Models via...

A wide range of LM applications require generating text that conforms to syntactic or semantic constraints. Imposing such constraints can be naturally framed as _probabilistic conditioning_, but...

openreview.net

#ICLR2025 Oral How can we control LMs using diverse signals such as static analyses, test cases, and simulations? In our paper “Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo” (w/ @benlipkin.bsky.social, @alexlew.bsky.social, @xtimv.bsky.social) we:

Trying to bring ML/NLP/etal people from ETH Zürich together. Ping me to add you. 🙂 bsky.app/starter-pack...