# Medical Visual Question Answering on SLAKE n=350 (test) Source: [Medical Visual Question Answering on SLAKE n=350 (test)]() Collection index: [llms.txt]() Data updated: 2026-07-03T06:30:20.255Z Evaluation of model performance on the specific n=350 subset of the SLAKE test split for medical visual question answering. 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 Visual Question Answering | | Dataset (including any stated split) | SLAKE n=350 (test) | | Metric | LLM Judge Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 7 of 7 | | 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 - [LLM Judge Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | LLM Judge Accuracy | Result date | Report paper | | --- | --- | --- | --- | | DiffusionGemma | 86.3 | Not recorded | 6a4741e4143ebdcacacc59f0 | | Gemma-4 | 81.7 | Not recorded | 6a4741e4143ebdcacacc59f0 | | Gemini-3.5-Flash | 75.1 | Not recorded | 6a4741e4143ebdcacacc59f0 | | Claude-Sonnet-4.6 | 70.3 | Not recorded | 6a4741e4143ebdcacacc59f0 | | DiffusionGemma | 70 | Not recorded | 6a4741e4143ebdcacacc59f0 | | Gemma-4 | 67.4 | Not recorded | 6a4741e4143ebdcacacc59f0 | | GPT-4.1-mini | 64.6 | Not recorded | 6a4741e4143ebdcacacc59f0 | ### DiffusionGemma LLM Judge Accuracy: 86.3. Result ID: 6a4756df60b88bb33991d6e6. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Evaluation Protocol":"per-dataset finetuned","Backbone":"diff"}. This record does not assert independent reproduction. ### Gemma-4 LLM Judge Accuracy: 81.7. Result ID: 6a4756df60b88bb33991d6e7. [Reporting paper]() Recorded evaluation configuration: {"Evaluation Protocol":"per-dataset finetuned","Backbone":"AR"}. This record does not assert independent reproduction. ### Gemini-3.5-Flash LLM Judge Accuracy: 75.1. Result ID: 6a4756df60b88bb33991d6e8. [Reporting paper]() Recorded evaluation configuration: {"Evaluation Protocol":"zero-shot","Model Category":"frontier VLMs"}. This record does not assert independent reproduction. ### Claude-Sonnet-4.6 LLM Judge Accuracy: 70.3. Result ID: 6a4756df60b88bb33991d6ea. [Reporting paper]() Recorded evaluation configuration: {"Evaluation Protocol":"zero-shot","Model Category":"frontier VLMs"}. This record does not assert independent reproduction. ### DiffusionGemma LLM Judge Accuracy: 70. Result ID: 6a4756df60b88bb33991d6e4. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Evaluation Protocol":"base (zero-shot)","Backbone":"diff"}. This record does not assert independent reproduction. ### Gemma-4 LLM Judge Accuracy: 67.4. Result ID: 6a4756df60b88bb33991d6e5. [Reporting paper]() Recorded evaluation configuration: {"Evaluation Protocol":"base (zero-shot)","Backbone":"AR"}. This record does not assert independent reproduction. ### GPT-4.1-mini LLM Judge Accuracy: 64.6. Result ID: 6a4756df60b88bb33991d6e9. [Reporting paper]() Recorded evaluation configuration: {"Evaluation Protocol":"zero-shot","Model Category":"frontier VLMs"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.