# Commonsense Question Answering on OpenBookQA Source: [Commonsense Question Answering on OpenBookQA]() Collection index: [llms.txt]() Data updated: 2026-04-07T07:35:52.198Z Evaluation of model performance on the OpenBookQA dataset for Commonsense Question Answering, 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 | Commonsense Question Answering | | Dataset (including any stated split) | OpenBookQA | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 9 of 9 | | 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 | | --- | --- | --- | --- | | Mistral-7B | 44 | Not recorded | 69d48f957d0172140ec74311 | | SoLA | 39.2 | Not recorded | 69d48f957d0172140ec74311 | | SoLA | 37.6 | Not recorded | 69d48f957d0172140ec74311 | | FLAP | 36.8 | Not recorded | 69d48f957d0172140ec74311 | | SVD-LLM | 36.6 | Not recorded | 69d48f957d0172140ec74311 | | FLAP | 35.8 | Not recorded | 69d48f957d0172140ec74311 | | SVD-LLM | 34.2 | Not recorded | 69d48f957d0172140ec74311 | | SliceGPT | 32 | Not recorded | 69d48f957d0172140ec74311 | | SliceGPT | 26.8 | Not recorded | 69d48f957d0172140ec74311 | ### Mistral-7B Accuracy: 44. Result ID: 69d4b3a447f34ce924bc2c4e. [Reporting paper]() Recorded evaluation configuration: {"Ratio":"0%","Evaluation Protocol":"zero-shot"}. This record does not assert independent reproduction. ### SoLA Accuracy: 39.2. Result ID: 69d4b3a447f34ce924bc2c52. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Ratio":"20%","Evaluation Protocol":"zero-shot"}. This record does not assert independent reproduction. ### SoLA Accuracy: 37.6. Result ID: 69d4b3a447f34ce924bc2c56. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Ratio":"30%","Evaluation Protocol":"zero-shot"}. This record does not assert independent reproduction. ### FLAP Accuracy: 36.8. Result ID: 69d4b3a447f34ce924bc2c4f. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Ratio":"20%","Evaluation Protocol":"zero-shot"}. This record does not assert independent reproduction. ### SVD-LLM Accuracy: 36.6. Result ID: 69d4b3a447f34ce924bc2c51. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Ratio":"20%","Evaluation Protocol":"zero-shot"}. This record does not assert independent reproduction. ### FLAP Accuracy: 35.8. Result ID: 69d4b3a447f34ce924bc2c53. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Ratio":"30%","Evaluation Protocol":"zero-shot"}. This record does not assert independent reproduction. ### SVD-LLM Accuracy: 34.2. Result ID: 69d4b3a447f34ce924bc2c55. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Ratio":"30%","Evaluation Protocol":"zero-shot"}. This record does not assert independent reproduction. ### SliceGPT Accuracy: 32. Result ID: 69d4b3a447f34ce924bc2c50. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Ratio":"20%","Evaluation Protocol":"zero-shot"}. This record does not assert independent reproduction. ### SliceGPT Accuracy: 26.8. Result ID: 69d4b3a447f34ce924bc2c54. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Ratio":"30%","Evaluation Protocol":"zero-shot"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.