DISCIPL enables language models to generate task-specific inference programs, improving reasoning efficiency and verifiability, and outperforming larger models on constrained generation tasks without requiring finetuning.

https://arxiv.org/abs//2504.07081

YouTube: https://www.youtube.com/@ArxivPapers

TikTok: https://www.tiktok.com/@arxiv_papers

Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016

Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers