# Commonsense Reasoning on MMT-47 Commonsense Reasoning Source: [Commonsense Reasoning on MMT-47 Commonsense Reasoning]() Collection index: [llms.txt]() Data updated: 2026-04-06T07:25:04.312Z Evaluation of model performance on the MMT-47 Commonsense Reasoning dataset, reporting standard Accuracy scores. 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 Reasoning | | Dataset (including any stated split) | MMT-47 Commonsense Reasoning | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 17 of 17 | | 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 | | --- | --- | --- | --- | | LiMELoRA | 84.98 | Not recorded | 69d33e0b7d0172140ec736af | | LiMEDoRA | 84.76 | Not recorded | 69d33e0b7d0172140ec736af | | LiMESliceFine | 84.5 | Not recorded | 69d33e0b7d0172140ec736af | | LiMELoRAFA | 84.49 | Not recorded | 69d33e0b7d0172140ec736af | | MoRe | 84.44 | Not recorded | 69d33e0b7d0172140ec736af | | HydraLoRA | 84.43 | Not recorded | 69d33e0b7d0172140ec736af | | MoCLE | 84.18 | Not recorded | 69d33e0b7d0172140ec736af | | MoEDoRA | 84.11 | Not recorded | 69d33e0b7d0172140ec736af | | MoELoRA | 84.08 | Not recorded | 69d33e0b7d0172140ec736af | | MoLA | 84.07 | Not recorded | 69d33e0b7d0172140ec736af | | SliceFine | 83.84 | Not recorded | 69d33e0b7d0172140ec736af | | LoRA | 83.8 | Not recorded | 69d33e0b7d0172140ec736af | | DoRA | 83.53 | Not recorded | 69d33e0b7d0172140ec736af | | LoRA-FA | 83.45 | Not recorded | 69d33e0b7d0172140ec736af | | MixLoRA | 83.27 | Not recorded | 69d33e0b7d0172140ec736af | | LiMEPromptTuning | 78.38 | Not recorded | 69d33e0b7d0172140ec736af | | PromptTuning | 77.5 | Not recorded | 69d33e0b7d0172140ec736af | ### LiMELoRA Accuracy: 84.98. Result ID: 69d35f1147f34ce924bac6e2. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"#TTP":"3.49M"}. This record does not assert independent reproduction. ### LiMEDoRA Accuracy: 84.76. Result ID: 69d35f1147f34ce924bac6e3. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"#TTP":"3.84M"}. This record does not assert independent reproduction. ### LiMESliceFine Accuracy: 84.5. Result ID: 69d35f1147f34ce924bac6e5. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"#TTP":"2.44M"}. This record does not assert independent reproduction. ### LiMELoRAFA Accuracy: 84.49. Result ID: 69d35f1147f34ce924bac6e4. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"#TTP":"2.44M"}. This record does not assert independent reproduction. ### MoRe Accuracy: 84.44. Result ID: 69d35f1147f34ce924bac6df. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"#TTP":"3.59M"}. This record does not assert independent reproduction. ### HydraLoRA Accuracy: 84.43. Result ID: 69d35f1147f34ce924bac6dd. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"#TTP":"5.92M"}. This record does not assert independent reproduction. ### MoCLE Accuracy: 84.18. Result ID: 69d35f1147f34ce924bac6da. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"#TTP":"5.92M"}. This record does not assert independent reproduction. ### MoEDoRA Accuracy: 84.11. Result ID: 69d35f1147f34ce924bac6e0. [Reporting paper]() Recorded evaluation configuration: {"#TTP":"12.19M"}. This record does not assert independent reproduction. ### MoELoRA Accuracy: 84.08. Result ID: 69d35f1147f34ce924bac6db. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"#TTP":"10.79M"}. This record does not assert independent reproduction. ### MoLA Accuracy: 84.07. Result ID: 69d35f1147f34ce924bac6de. [Reporting paper]() Recorded evaluation configuration: {"#TTP":"9.04M"}. This record does not assert independent reproduction. ### SliceFine Accuracy: 83.84. Result ID: 69d35f1147f34ce924bac6d9. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"#TTP":"1.74M"}. This record does not assert independent reproduction. ### LoRA Accuracy: 83.8. Result ID: 69d35f1147f34ce924bac6d6. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"#TTP":"1.74M"}. This record does not assert independent reproduction. ### DoRA Accuracy: 83.53. Result ID: 69d35f1147f34ce924bac6d7. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"#TTP":"2.09M"}. This record does not assert independent reproduction. ### LoRA-FA Accuracy: 83.45. Result ID: 69d35f1147f34ce924bac6d8. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"#TTP":"0.70M"}. This record does not assert independent reproduction. ### MixLoRA Accuracy: 83.27. Result ID: 69d35f1147f34ce924bac6dc. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"#TTP":"3.83M"}. This record does not assert independent reproduction. ### LiMEPromptTuning Accuracy: 78.38. Result ID: 69d35f1147f34ce924bac6e1. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"#TTP":"0.09M"}. This record does not assert independent reproduction. ### PromptTuning Accuracy: 77.5. Result ID: 69d35f1147f34ce924bac6d5. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"#TTP":"0.07M"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.