Structured Feedback Improves Repair in an LLM Agent Loop
LLM agents often retry after external validation rejects a candidate, but the interface between validation and the next model call remains underspecified. We introduce VeriHarness, a code-controlled agent loop in which models generate candidates while external validators control acceptance, budgets, and traces. We use it to compare raw diagnostics with feedback that identifies the failure location, observed value, and admissible alternatives. Across 50 paired TextWorld games under a four-call cap, feedback containing all three fields raises terminal success from 14/50 to 36/50 for Qwen2.5-Coder-14B (+44 percentage points) and from 8/50 to 29/50 for Llama-3.1-8B (+42 points). Ablations loc...
| Authors | Jaideep Ray, Ankit Goyal |
|---|---|
| Primary category | cs.SE |
| Published | 15 July 2026 |
| Last updated at source | 15 July 2026 |
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