The authors adapt established RCT validity principles from other fields into a standardized framework with 33 guidelines tailored to AI evaluation contexts.
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KARITA integrates knowledge-driven augmentation and retrieval to improve classification performance under temporal shifts across clinical, legal, and scientific domains.
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Principles and Guidelines for Randomized Controlled Trials in AI Evaluation
The authors adapt established RCT validity principles from other fields into a standardized framework with 33 guidelines tailored to AI evaluation contexts.
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Knowledge-driven Augmentation and Retrieval for Integrative Temporal Adaptation
KARITA integrates knowledge-driven augmentation and retrieval to improve classification performance under temporal shifts across clinical, legal, and scientific domains.