# Medical Question Answering on MMLU-Pro (test) Source: [Medical Question Answering on MMLU-Pro (test)]() Collection index: [llms.txt]() Data updated: 2026-06-26T08:26:15.043Z Evaluation of model performance on the test set of the MMLU-Pro benchmark, focusing on medical domain knowledge questions measured by accuracy. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Medical Question Answering | | Dataset (including any stated split) | MMLU-Pro (test) | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 6 of 6 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | Embedding Diversity | 65.3 | Not recorded | 6a3e07c3206542251d7cb6bd | | Middle Perplexity | 65.2 | Not recorded | 6a3e07c3206542251d7cb6bd | | S2L | 65 | Not recorded | 6a3e07c3206542251d7cb6bd | | Ours | 65 | Not recorded | 6a3e07c3206542251d7cb6bd | | Learnability | 64.9 | Not recorded | 6a3e07c3206542251d7cb6bd | | Random | 64.8 | Not recorded | 6a3e07c3206542251d7cb6bd | ### Embedding Diversity Accuracy: 65.3. Result ID: 6a3e37a5fbc373592c6025a5. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Base Model":"Qwen2.5-7B-Instruct","Fine-tuning Dataset Source":"m23k","Selection Method":"Embedding Diversity","Number of Selected Examples":"2000"}. This record does not assert independent reproduction. ### Middle Perplexity Accuracy: 65.2. Result ID: 6a3e37a5fbc373592c6025a4. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Base Model":"Qwen2.5-7B-Instruct","Fine-tuning Dataset Source":"m23k","Selection Method":"Middle Perplexity","Number of Selected Examples":"2000"}. This record does not assert independent reproduction. ### S2L Accuracy: 65. Result ID: 6a3e37a5fbc373592c6025a6. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Base Model":"Qwen2.5-7B-Instruct","Fine-tuning Dataset Source":"m23k","Selection Method":"S2L","Number of Selected Examples":"2000"}. This record does not assert independent reproduction. ### Ours Accuracy: 65. Result ID: 6a3e37a5fbc373592c6025a7. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Base Model":"Qwen2.5-7B-Instruct","Fine-tuning Dataset Source":"m23k","Selection Method":"Ours","Number of Selected Examples":"2000"}. This record does not assert independent reproduction. ### Learnability Accuracy: 64.9. Result ID: 6a3e37a5fbc373592c6025a3. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Base Model":"Qwen2.5-7B-Instruct","Fine-tuning Dataset Source":"m23k","Selection Method":"Learnability","Number of Selected Examples":"2000"}. This record does not assert independent reproduction. ### Random Accuracy: 64.8. Result ID: 6a3e37a5fbc373592c6025a2. [Reporting paper]() Recorded evaluation configuration: {"Base Model":"Qwen2.5-7B-Instruct","Fine-tuning Dataset Source":"m23k","Selection Method":"Random","Number of Selected Examples":"2000"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.