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Provably Tractable NFA-Constrained Language Generation via HMMs

Paper recorded by Signals 4 on 2026-09-30 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-30 on arXiv · recorded by Signals 4 on 2026-10-01

Category: cs.CL · 自然语言处理 · first seen 2026-10-01

Abstract

Constrained generation aims to sample from language models (LMs) conditioned on hard constraints. Existing constrained-generation techniques for nondeterministic finite automaton (NFA) constraints either distort the distribution or sacrifice efficiency. Theoretically, this task reduces to counting the length-$n$ sequences accepted by an NFA (#NFA), and the exact #NFA problem is #P-complete. Recent

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#15 most recent of 311 cs.CL papers we have recorded · ↑ newer: Decision-Oriented Recommendation Reranking: An Empirical Study of Jev · ↓ older: Index-Translate: A Multilingual Translation Model Family -- Text, Spee
Cite this page: Provably Tractable NFA-Constrained Language Generation via HMMs: the #15 most recent of 311 cs.CL papers we have recorded (as of 2026-09-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/provably-tractable-nfa-constrained-language-generation-via-hmms.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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