# Medical Question Answering on GenMedGPT-5k

Source: [Medical Question Answering on GenMedGPT-5k](<https://www.sota2.com/research/sota/medical-question-answering-on-genmedgpt-5k>)

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

Data updated: 2026-02-26T05:36:43.297Z

Evaluation of model performance on the GenMedGPT-5k dataset for Medical Question Answering, assessed using metrics including BERTScore, GPT-4 ranking, and hallucination quantification.

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 | Medical Question Answering |
| Dataset (including any stated split) | GenMedGPT-5k |
| Metric | BERTScore Precision |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 7 of 7 |
| 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

- [BERTScore Precision](<https://www.sota2.com/research/sota/medical-question-answering-on-genmedgpt-5k.md?metric=BERTScore%20Precision>): Higher is better; unit: PERCENT.

- [BERTScore Recall](<https://www.sota2.com/research/sota/medical-question-answering-on-genmedgpt-5k.md?metric=BERTScore%20Recall>): Higher is better; unit: PERCENT.

- [BERTScore F1 Score](<https://www.sota2.com/research/sota/medical-question-answering-on-genmedgpt-5k.md?metric=BERTScore%20F1%20Score>): Higher is better; unit: PERCENT.

- [GPT4 Ranking Avg](<https://www.sota2.com/research/sota/medical-question-answering-on-genmedgpt-5k.md?metric=GPT4%20Ranking%20Avg>): Higher is better; unit: SCALAR.

- [Hallucination Rate](<https://www.sota2.com/research/sota/medical-question-answering-on-genmedgpt-5k.md?metric=Hallucination%20Rate>): Lower is better; unit: PERCENT.

## Recorded results

| Method | BERTScore Precision | Result date | Report paper |
| --- | --- | --- | --- |
| MindMap | 79.36 | Not recorded | 68fa72631e209131cea56268 |
| KG Retriever | 77.17 | Not recorded | 68fa72631e209131cea56268 |
| BM25 Retriever | 76.93 | Not recorded | 68fa72631e209131cea56268 |
| Embedding Retriever | 76.9 | Not recorded | 68fa72631e209131cea56268 |
| GPT4 | 76.89 | Not recorded | 68fa72631e209131cea56268 |
| GPT-3.5 | 76.12 | Not recorded | 68fa72631e209131cea56268 |
| Tree-of-thought(TOT) | 72.02 | Not recorded | 68fa72631e209131cea56268 |

### MindMap

BERTScore Precision: 79.36. Result ID: 699236423a6c3148490d57f2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72631e209131cea56268.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72631e209131cea56268.md>)

[Implementation](<https://github.com/wyl-willing/MindMap>)

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

### KG Retriever

BERTScore Precision: 77.17. Result ID: 699236423a6c3148490d57f8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72631e209131cea56268.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6acc1e209131cea2a544.md>)

[Implementation](<https://github.com/zhenjia2017/EXAQT>)

Recorded evaluation configuration: {"backbone":"gpt-3.5-turbo-0613"}. This record does not assert independent reproduction.

### BM25 Retriever

BERTScore Precision: 76.93. Result ID: 699236423a6c3148490d57f6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72631e209131cea56268.md>)

Recorded evaluation configuration: {"backbone":"gpt-3.5-turbo-0613"}. This record does not assert independent reproduction.

### Embedding Retriever

BERTScore Precision: 76.9. Result ID: 699236423a6c3148490d57f7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72631e209131cea56268.md>)

Recorded evaluation configuration: {"backbone":"gpt-3.5-turbo-0613"}. This record does not assert independent reproduction.

### GPT4

BERTScore Precision: 76.89. Result ID: 699236423a6c3148490d57f5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72631e209131cea56268.md>)

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

### GPT-3.5

BERTScore Precision: 76.12. Result ID: 699236423a6c3148490d57f3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72631e209131cea56268.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70f21e209131cea4e458.md>)

[Implementation](<https://github.com/wangcunxiang/QA-Eval>)

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

### Tree-of-thought(TOT)

BERTScore Precision: 72.02. Result ID: 699236423a6c3148490d57f4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72631e209131cea56268.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71551e209131cea50930.md>)

[Implementation](<https://github.com/princeton-nlp/tree-of-thought-llm>)

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

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