arXiv (OAI Expanded)
open access
Counterexamples as Feedback for Agent Self-Correction
Single-turn code-generation metrics understate a central property of deployed agents: whether they can repair a wrong artifact after receiving concrete feedback. This paper presents A-CEGIS, a lightweight framework that uses counterexamples as feedback for evaluating multi-turn refinement in natural
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Counterexamples as Feedback for Agent Self-Correction#925275
- DeltaSelect: Affordable A/B Testing for Coding Agents#1014197
- DeltaSelect: Affordable A/B Testing for Coding Agents#978499
- How Much Can a Behavior-Preserving Changeset Be Decomposed into Refactoring Operations?#984063
- WaveletECO: A Closed-Loop Physical ECO Platform and a Specialized Local Language Model#1049185
Record · ID 921039
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive