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Healthcare LLM benchmarks can be misleading because they fail to capture critical assumptions about how users interact with models and how those interactions translate to real-world outcomes.
Forget hand-engineering interpretable RL agents: this algorithm automatically selects the concepts that actually matter for decision-making, with provable performance bounds.
