# Funny Comment Generation on YouTube dataset

Source: [Funny Comment Generation on YouTube dataset](<https://www.sota2.com/research/sota/funny-comment-generation-on-youtube-dataset>)

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

Data updated: 2026-04-14T07:27:15.183Z

Evaluation of models generating funny comments for YouTube videos, assessed using metrics like Originality, Relevance, and Style conformity.

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 | Funny Comment Generation |
| Dataset (including any stated split) | YouTube dataset |
| Metric | Originality Score |
| Unit | SCALAR |
| 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

- [Originality Score](<https://www.sota2.com/research/sota/funny-comment-generation-on-youtube-dataset.md?metric=Originality%20Score>): Higher is better; unit: SCALAR.

- [Relevance Score](<https://www.sota2.com/research/sota/funny-comment-generation-on-youtube-dataset.md?metric=Relevance%20Score>): Higher is better; unit: SCALAR.

- [Style Conformity Score](<https://www.sota2.com/research/sota/funny-comment-generation-on-youtube-dataset.md?metric=Style%20Conformity%20Score>): Higher is better; unit: SCALAR.

- [Total Score](<https://www.sota2.com/research/sota/funny-comment-generation-on-youtube-dataset.md?metric=Total%20Score>): Higher is better; unit: SCALAR.

## Recorded results

| Method | Originality Score | Result date | Report paper |
| --- | --- | --- | --- |
| LOLGORITHM | 3.26 | Not recorded | 69ddca067d0172140ec7995b |
| V2Xum-LLM | 2.73 | Not recorded | 69ddca067d0172140ec7995b |
| LiveChat | 2.37 | Not recorded | 69ddca067d0172140ec7995b |
| Qwen3.5-9b (Direct) | 2.21 | Not recorded | 69ddca067d0172140ec7995b |

### LOLGORITHM

Originality Score: 3.26. Result ID: 69ddec3947f34ce924c4f909.

[Reporting paper](<https://www.sota2.com/research/paper/69ddca067d0172140ec7995b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69ddca067d0172140ec7995b.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### V2Xum-LLM

Originality Score: 2.73. Result ID: 69ddec3947f34ce924c4f906.

[Reporting paper](<https://www.sota2.com/research/paper/69ddca067d0172140ec7995b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7c051e209131cea8beb2.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### LiveChat

Originality Score: 2.37. Result ID: 69ddec3947f34ce924c4f907.

[Reporting paper](<https://www.sota2.com/research/paper/69ddca067d0172140ec7995b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6fb91e209131cea470ca.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Qwen3.5-9b (Direct)

Originality Score: 2.21. Result ID: 69ddec3947f34ce924c4f908.

[Reporting paper](<https://www.sota2.com/research/paper/69ddca067d0172140ec7995b.md>)

Recorded evaluation configuration: {"Generation strategy":"Direct"}. This record does not assert independent reproduction.

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