# Multi-label Value Detection on ValueEval Source: [Multi-label Value Detection on ValueEval]() Collection index: [llms.txt]() Data updated: 2026-05-28T06:41:55.663Z Evaluation of models on Multi-label Value Detection performance using the ValueEval dataset, typically reporting Micro F1-score, Recall, and Precision. 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 | Multi-label Value Detection | | Dataset (including any stated split) | ValueEval | | Metric | Micro F1 | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 8 of 8 | | 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 - [Micro F1](): Higher is better; unit: PERCENT. - [Recall](): Higher is better; unit: PERCENT. - [Precision](): Higher is better; unit: PERCENT. ## Recorded results | Method | Micro F1 | Result date | Report paper | | --- | --- | --- | --- | | Gemma3 | 34.14 | Not recorded | 6a17cbdfdbd7150506f810ed | | Gemma3 | 34.07 | Not recorded | 6a17cbdfdbd7150506f810ed | | Gemma3 | 34.06 | Not recorded | 6a17cbdfdbd7150506f810ed | | Gemma3 | 33.91 | Not recorded | 6a17cbdfdbd7150506f810ed | | Gpt-oss | 33.59 | Not recorded | 6a17cbdfdbd7150506f810ed | | Llama4-scout | 32.75 | Not recorded | 6a17cbdfdbd7150506f810ed | | DeepSeek-R1 | 32.27 | Not recorded | 6a17cbdfdbd7150506f810ed | | Qwen3 | 32.16 | Not recorded | 6a17cbdfdbd7150506f810ed | ### Gemma3 Micro F1: 34.14. Result ID: 6a17e39efbc373592c11094f. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Temperature":"1.0"}. This record does not assert independent reproduction. ### Gemma3 Micro F1: 34.07. Result ID: 6a17e39efbc373592c110950. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Temperature":"1.0","Seed":"42"}. This record does not assert independent reproduction. ### Gemma3 Micro F1: 34.06. Result ID: 6a17e39efbc373592c11094a. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Temperature":"0.0"}. This record does not assert independent reproduction. ### Gemma3 Micro F1: 33.91. Result ID: 6a17e39efbc373592c110951. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Temperature":"1.0","Seed":"123"}. This record does not assert independent reproduction. ### Gpt-oss Micro F1: 33.59. Result ID: 6a17e39efbc373592c11094b. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### Llama4-scout Micro F1: 32.75. Result ID: 6a17e39efbc373592c11094c. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### DeepSeek-R1 Micro F1: 32.27. Result ID: 6a17e39efbc373592c11094d. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### Qwen3 Micro F1: 32.16. Result ID: 6a17e39efbc373592c11094e. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.