Partial Evidence Bench: Benchmarking Authorization-Limited Evidence in Agentic Systems

1. 1Build a Partial Evidence Bench environment to test agentic systems
2. 2Configure access control and authorization boundaries in the benchmark
3. 3Run experiments to measure the system's performance with limited evidence
4. 4Analyze results to identify failure modes and areas for improvement
5. 5Apply the insights to improve the robustness of agentic systems in real-world scenarios

AI engineers and researchers working on agentic systems can benefit from this benchmark to evaluate their systems' performance in authorization-limited evidence environments

💡 Agentic systems can produce incomplete answers even with correct access control, and benchmarking is crucial to identify and address this issue

🚀 Introducing Partial Evidence Bench: a benchmark for measuring authorization-limited evidence in agentic systems 🤖