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ExecCritic: Learn to Test, Test to Improve for Coding Agents

Paper recorded by Signals 4 on 2026-09-08 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-08 on arXiv · recorded by Signals 4 on 2026-09-09

Category: cs.AI · 人工智能 · first seen 2026-09-09

Abstract

Execution feedback can guide coding agents toward correct repository repairs, but only when the tests capture the behavior requested by the issue. Agent-generated tests can encode incomplete or incorrect behavioral targets; when the same trajectory writes both the patch and the test, their errors can agree and create false confidence. We introduce ExecCritic, combining a test--verify--revise scaff

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#146 most recent of 300 cs.AI papers we have recorded · ↑ newer: Co-Evolving Harnesses and Models: On-Policy Correction Helps Weaker Mo · ↓ older: A Generalization of Amari's Bayesian Duality
Cite this page: ExecCritic: Learn to Test, Test to Improve for Coding Agents: the #146 most recent of 300 cs.AI papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/execcritic-learn-to-test-test-to-improve-for-coding-agents.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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