# Dialogue Generation on Norm-grounded Dialogue English (test)

Source: [Dialogue Generation on Norm-grounded Dialogue English (test)](<https://www.sota2.com/research/sota/dialogue-generation-on-norm-grounded-dialogue-english-test>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-03-13T07:08:02.282Z

Evaluation of dialogue generation performance on the test split of the Norm-grounded Dialogue English dataset, measured using Win Rates against specific baseline models (NormDial and SODA).

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 | Dialogue Generation |
| Dataset (including any stated split) | Norm-grounded Dialogue English (test) |
| Metric | Win Rate vs. NormDial |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 4 of 4 |
| 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

- [Win Rate vs. NormDial](<https://www.sota2.com/research/sota/dialogue-generation-on-norm-grounded-dialogue-english-test.md?metric=Win%20Rate%20vs.%20NormDial>): Higher is better; unit: PERCENT.

- [Win Rate vs. SODA](<https://www.sota2.com/research/sota/dialogue-generation-on-norm-grounded-dialogue-english-test.md?metric=Win%20Rate%20vs.%20SODA>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Win Rate vs. NormDial | Result date | Report paper |
| --- | --- | --- | --- |
| GPT-4o-mini | 65 | Not recorded | 68fa7b7f1e209131cea88b10 |
| LLaMA-3-8B | 65 | Not recorded | 68fa7b7f1e209131cea88b10 |
| Qwen-2.5-32B | 56 | Not recorded | 68fa7b7f1e209131cea88b10 |
| Qwen-2.5-14B | 51 | Not recorded | 68fa7b7f1e209131cea88b10 |

### GPT-4o-mini

Win Rate vs. NormDial: 65. Result ID: 69b3b5f847f34ce9249d2d4d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7b7f1e209131cea88b10.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7b7f1e209131cea88b10.md>)

Recorded evaluation configuration: {"Model":"GPT-4o-mini"}. This record does not assert independent reproduction.

### LLaMA-3-8B

Win Rate vs. NormDial: 65. Result ID: 69b3b5f847f34ce9249d2d4e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7b7f1e209131cea88b10.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7b7f1e209131cea88b10.md>)

Recorded evaluation configuration: {"Model":"LLaMA-3-8B"}. This record does not assert independent reproduction.

### Qwen-2.5-32B

Win Rate vs. NormDial: 56. Result ID: 69b3b5f847f34ce9249d2d50.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7b7f1e209131cea88b10.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7b7f1e209131cea88b10.md>)

Recorded evaluation configuration: {"Model":"Qwen-2.5-32B"}. This record does not assert independent reproduction.

### Qwen-2.5-14B

Win Rate vs. NormDial: 51. Result ID: 69b3b5f847f34ce9249d2d4f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7b7f1e209131cea88b10.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7b7f1e209131cea88b10.md>)

Recorded evaluation configuration: {"Model":"Qwen-2.5-14B"}. This record does not assert independent reproduction.

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