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Exact Feedback Is Not Control: Evaluating Text-based Closed-Loop Revision in LLMs

Paper recorded by Signals 4 on 2026-09-23 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-23 on arXiv · recorded by Signals 4 on 2026-09-24

Category: cs.CL · 自然语言处理 · first seen 2026-09-24

Abstract

Closed-loop revision is increasingly used in large language model (LLM) applications, but failures may reflect incomplete feedback or ineffective responses to correct feedback. We introduce a fixed-budget revision protocol with deterministic verifiers that report all remaining violations across exact-length, lexical, and compositional constraints. Fixing feedback correctness and completeness isola

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#9 most recent of 239 cs.CL papers we have recorded · ↑ newer: Log-Depth Recurrent Language Modeling · ↓ older: Scaling Attention Head Analysis via Gradient-Based Attribution in Cont

Cite this page: Exact Feedback Is Not Control: Evaluating Text-based Closed-Loop Revision in LLMs: the #9 most recent of 239 cs.CL papers we have recorded (as of 2026-09-23). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/exact-feedback-is-not-control-evaluating-text-based-closed-loop-revision-in-llms.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json

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