[KongchangAI]
BenchmarkNPC-RubricBench

NPC-RubricBench

A stage-aware benchmark for evaluating large language models' multi-stage clinical reasoning across the full course of nasopharyngeal carcinoma, based on longitudinal patient records and patient-specific atomic criteria.

Timeline (last 90 days)

Oct 27

NPC-RubricBench is a stage-aware benchmark for evaluating multi-stage clinical reasoning across the full course of nasopharyngeal carcinoma, based on longitudinal records of 405 patients from two cancer centers, covering 941 patient-stage units across six consecutive care stages and 17,688 patient-specific atomic criteria spanning five evaluation dimensions.

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Oct 27

Among the 30 general-purpose and medical-specialized LLMs evaluated on NPC-RubricBench, high diagnostic performance does not automatically translate into better downstream care performance.

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Oct 27

In the anatomical staging stage, the dominant failure mode is explicit decision errors, accounting for 48.2%.

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Oct 27

In the initial workup stage and the post-treatment follow-up stage, the dominant failure mode is decision omission, accounting for 33.4% and 30.4%, respectively.

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Oct 27

The methodology of NPC-RubricBench—patient-specific atomic criteria, decision-moment evidence grounding, and stage-aware evaluation—has the potential to be generalized to other tumor types and full-course chronic disease management scenarios.

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