AuditRepairBench: A Paired-Execution Trace Corpus for Evaluator-Channel Ranking Instability in Agent Repair

1. 1Collect paired-execution traces using AuditRepairBench to analyze evaluator-channel ranking instability
2. 2Apply ranking instability metrics to the collected traces to identify failure modes
3. 3Configure agent repair methods to consult evaluator-derived signals during internal selection of candidate repairs
4. 4Test and evaluate the robustness of agent repair methods using the AuditRepairBench corpus
5. 5Compare the performance of different agent repair methods using the provided leaderboard

AI researchers and engineers working on agent repair and evaluator-channel ranking instability will benefit from this resource, as it provides a comprehensive dataset to test and validate their methods

💡 Evaluator-channel ranking instability can be operationalized and measured using paired-execution traces, enabling more robust agent repair methods

🚨 Identify and address evaluator-channel ranking instability in agent repair with AuditRepairBench! 🚨