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RESKILL: Explicit Failure Attribution and Structured Repair for Interactive Language Agents

Paper recorded by Signals 4 on 2026-09-14 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-14 on arXiv · recorded by Signals 4 on 2026-09-15

Category: cs.CL · 自然语言处理 · first seen 2026-09-15

Abstract

Language agents increasingly rely on reusable skills, but post-failure repair is often handled by opaque one-shot reflection: a model generates a skill patch without explicitly maintaining how failure explanations relate to candidate repairs or how unsuccessful retests should influence later edits. We introduce RESKILL, a structured repair framework that maintains an explicit repair state across r

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#49 most recent of 186 cs.CL papers we have recorded · ↑ newer: Data storytelling meets interpretable machine learning: Decoding AI de · ↓ older: Type Diversity Enables Transformers to Generalise Compositionally
Cite this page: RESKILL: Explicit Failure Attribution and Structured Repair for Interactive Language Agents: the #49 most recent of 186 cs.CL papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/reskill-explicit-failure-attribution-and-structured-repair-for-interactive-langu.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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