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Free to Look, Free to Reason: Simple LLM Harnesses Outdiagnose Hand-Crafted Root Cause Analysis Agents

Paper recorded by Signals 4 on 2026-10-26 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-26 on arXiv · recorded by Signals 4 on 2026-10-27

Category: cs.AI · 人工智能 · first seen 2026-10-27

Abstract

Root cause analysis (RCA) of microservice failures has attracted many LLM agents whose investigation is hand-crafted, through standard operating procedures, fixed stages and role agents. Each is evaluated on its own data against few baselines, so it is unknown whether this design beats letting a capable model investigate on its own. We compare three simple harnesses that prescribe none of the mode

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#152 most recent of 960 cs.AI papers we have recorded · ↑ newer: A Unified Arena for LLM Agents across Diverse Eurogame · ↓ older: Do Similarity Measures Measure Similarity? How User Activity Creates P
Cite this page: Free to Look, Free to Reason: Simple LLM Harnesses Outdiagnose Hand-Crafted Root Cause Analysis Agents: the #152 most recent of 960 cs.AI papers we have recorded (as of 2026-10-26). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/free-to-look-free-to-reason-simple-llm-harnesses-outdiagnose-hand-crafted-root-c.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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