Green Shielding introduces CUE criteria and the HCM-Dx benchmark to demonstrate that routine prompt variations systematically alter LLM diagnostic behavior along clinically relevant dimensions, producing Pareto-like tradeoffs in plausibility versus coverage.
Veridical data science.Proceedings of the National Academy of Sciences, 117(8):3920–3929
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Introduces task-oriented randomization for black-box stability with theoretical guarantees, stability-exploration trade-off analysis, and extension to top-k ranking motivated by LLMs.
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Green Shielding: A User-Centric Approach Towards Trustworthy AI
Green Shielding introduces CUE criteria and the HCM-Dx benchmark to demonstrate that routine prompt variations systematically alter LLM diagnostic behavior along clinically relevant dimensions, producing Pareto-like tradeoffs in plausibility versus coverage.
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Stabilizing black-box algorithms through task-oriented randomization
Introduces task-oriented randomization for black-box stability with theoretical guarantees, stability-exploration trade-off analysis, and extension to top-k ranking motivated by LLMs.