# Symptom Severity Assessment on Psychotherapy dialogue datasets

Source: [Symptom Severity Assessment on Psychotherapy dialogue datasets](<https://www.sota2.com/research/sota/symptom-severity-assessment-on-psychotherapy-dialogue-datasets>)

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

Data updated: 2026-03-24T14:25:14.989Z

Evaluation of symptom severity assessment performance on psychotherapy dialogue datasets using regression metrics such as Mean Squared Error (MSE) and Mean Absolute Error (MAE).

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 | Symptom Severity Assessment |
| Dataset (including any stated split) | Psychotherapy dialogue datasets |
| Metric | MSE |
| Unit | SCALAR |
| Direction | Lower 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

- [MSE](<https://www.sota2.com/research/sota/symptom-severity-assessment-on-psychotherapy-dialogue-datasets.md?metric=MSE>): Lower is better; unit: SCALAR.

- [MAE](<https://www.sota2.com/research/sota/symptom-severity-assessment-on-psychotherapy-dialogue-datasets.md?metric=MAE>): Lower is better; unit: SCALAR.

## Recorded results

| Method | MSE | Result date | Report paper |
| --- | --- | --- | --- |
| GPT-4 | 0.21 | Not recorded | 68fa75221e209131cea660e7 |
| GPT-4o-mini | 0.2245 | Not recorded | 68fa75221e209131cea660e7 |
| Llama3.1-70B | 0.3379 | Not recorded | 68fa75221e209131cea660e7 |
| Llama3.1-405B | 0.3922 | Not recorded | 68fa75221e209131cea660e7 |
| Qwen2-72B | 0.3962 | Not recorded | 68fa75221e209131cea660e7 |
| GPT-4-turbo | 0.4055 | Not recorded | 68fa75221e209131cea660e7 |
| Mistral-8X22B | 0.5205 | Not recorded | 68fa75221e209131cea660e7 |
| Mistral-8X7B | 1.5711 | Not recorded | 68fa75221e209131cea660e7 |

### GPT-4

MSE: 0.21. Result ID: 69c29e6047f34ce924ab3efa.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75221e209131cea660e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa727a1e209131cea56a1e.md>)

[Implementation](<https://github.com/openai/evals>)

Recorded evaluation configuration: {"Model Category":"Closed-Source Models"}. This record does not assert independent reproduction.

### GPT-4o-mini

MSE: 0.2245. Result ID: 69c29e6047f34ce924ab3efc.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75221e209131cea660e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa727a1e209131cea56a1e.md>)

[Implementation](<https://github.com/openai/evals>)

Recorded evaluation configuration: {"Model Category":"Closed-Source Models"}. This record does not assert independent reproduction.

### Llama3.1-70B

MSE: 0.3379. Result ID: 69c29e6047f34ce924ab3eff.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75221e209131cea660e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75d11e209131cea6a028.md>)

[Implementation](<https://github.com/meta-llama/llama-agentic-system>)

Recorded evaluation configuration: {"Model Category":"Open-Source Models"}. This record does not assert independent reproduction.

### Llama3.1-405B

MSE: 0.3922. Result ID: 69c29e6047f34ce924ab3efd.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75221e209131cea660e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75d11e209131cea6a028.md>)

[Implementation](<https://github.com/meta-llama/llama-agentic-system>)

Recorded evaluation configuration: {"Model Category":"Open-Source Models"}. This record does not assert independent reproduction.

### Qwen2-72B

MSE: 0.3962. Result ID: 69c29e6047f34ce924ab3efe.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75221e209131cea660e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa74bf1e209131cea6378d.md>)

[Implementation](<https://github.com/QwenLM/Qwen2>)

Recorded evaluation configuration: {"Model Category":"Open-Source Models"}. This record does not assert independent reproduction.

### GPT-4-turbo

MSE: 0.4055. Result ID: 69c29e6047f34ce924ab3efb.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75221e209131cea660e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa727a1e209131cea56a1e.md>)

[Implementation](<https://github.com/openai/evals>)

Recorded evaluation configuration: {"Model Category":"Closed-Source Models"}. This record does not assert independent reproduction.

### Mistral-8X22B

MSE: 0.5205. Result ID: 69c29e6047f34ce924ab3f00.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75221e209131cea660e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71d01e209131cea5317b.md>)

[Implementation](<https://github.com/mistralai/mistral-src>)

Recorded evaluation configuration: {"Model Category":"Open-Source Models"}. This record does not assert independent reproduction.

### Mistral-8X7B

MSE: 1.5711. Result ID: 69c29e6047f34ce924ab3f01.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75221e209131cea660e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71d01e209131cea5317b.md>)

[Implementation](<https://github.com/mistralai/mistral-src>)

Recorded evaluation configuration: {"Model Category":"Open-Source Models"}. This record does not assert independent reproduction.

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