# Personalized LLM response generation on Koala (test)

Source: [Personalized LLM response generation on Koala (test)](<https://www.sota2.com/research/sota/personalized-llm-response-generation-on-koala-test>)

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

Data updated: 2026-05-11T08:29:30.264Z

Evaluation of personalized LLM response generation models using the Koala dataset (test split), measured by Win Rates against a Reward Model and GPT-4o-mini.

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 | Personalized LLM response generation |
| Dataset (including any stated split) | Koala (test) |
| Metric | Win Rate (Reward Model) |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 3 of 3 |
| 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 (Reward Model)](<https://www.sota2.com/research/sota/personalized-llm-response-generation-on-koala-test.md?metric=Win%20Rate%20(Reward%20Model)>): Higher is better; unit: PERCENT.

- [Win Rate (GPT-4o-mini)](<https://www.sota2.com/research/sota/personalized-llm-response-generation-on-koala-test.md?metric=Win%20Rate%20(GPT-4o-mini)>): Higher is better; unit: PERCENT.

- [Average Win Rate](<https://www.sota2.com/research/sota/personalized-llm-response-generation-on-koala-test.md?metric=Average%20Win%20Rate>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Win Rate (Reward Model) | Result date | Report paper |
| --- | --- | --- | --- |
| CLIPer | 88 | Not recorded | 6a016257dbc836b87d822eb0 |
| CLIPer | 78.67 | Not recorded | 6a016257dbc836b87d822eb0 |
| CLIPer | 53.67 | Not recorded | 6a016257dbc836b87d822eb0 |

### CLIPer

Win Rate (Reward Model): 88. Result ID: 6a01935347f34ce924e364d8.

[Reporting paper](<https://www.sota2.com/research/paper/6a016257dbc836b87d822eb0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a016257dbc836b87d822eb0.md>)

Recorded evaluation configuration: {"Comparison Baseline":"Vanilla Baseline","Preference Dimension":"1-dim"}. This record does not assert independent reproduction.

### CLIPer

Win Rate (Reward Model): 78.67. Result ID: 6a01935347f34ce924e364d9.

[Reporting paper](<https://www.sota2.com/research/paper/6a016257dbc836b87d822eb0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a016257dbc836b87d822eb0.md>)

Recorded evaluation configuration: {"Comparison Baseline":"p-soup & Direct Fine-tuning","Preference Dimension":"1-dim"}. This record does not assert independent reproduction.

### CLIPer

Win Rate (Reward Model): 53.67. Result ID: 6a01935347f34ce924e364d7.

[Reporting paper](<https://www.sota2.com/research/paper/6a016257dbc836b87d822eb0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a016257dbc836b87d822eb0.md>)

Recorded evaluation configuration: {"Comparison Baseline":"Direct Prompting","Preference Dimension":"1-dim"}. This record does not assert independent reproduction.

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