# Graph Question Answering on GRBENCH Healthcare 1.0 (test)

Source: [Graph Question Answering on GRBENCH Healthcare 1.0 (test)](<https://www.sota2.com/research/sota/graph-question-answering-on-grbench-healthcare-1-0-test>)

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

Data updated: 2026-02-26T05:59:13.990Z

Evaluation of model performance on the test split of the GRBENCH Healthcare 1.0 dataset for Graph Question Answering, measured using R-L and GPT4score.

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 | Graph Question Answering |
| Dataset (including any stated split) | GRBENCH Healthcare 1.0 (test) |
| Metric | R-L Score |
| Unit | SCALAR |
| Direction | Higher is better |
| Results loaded | 10 of 10 |
| 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

- [R-L Score](<https://www.sota2.com/research/sota/graph-question-answering-on-grbench-healthcare-1-0-test.md?metric=R-L%20Score>): Higher is better; unit: SCALAR.

- [GPT-4 Score](<https://www.sota2.com/research/sota/graph-question-answering-on-grbench-healthcare-1-0-test.md?metric=GPT-4%20Score>): Higher is better; unit: SCALAR.

## Recorded results

| Method | R-L Score | Result date | Report paper |
| --- | --- | --- | --- |
| GRAPH-COT | 22.33 | Not recorded | 68fa751b1e209131cea65d00 |
| GPT-3.5-turbo | 8.69 | Not recorded | 68fa751b1e209131cea65d00 |
| Mixtral-8x7b | 8.66 | Not recorded | 68fa751b1e209131cea65d00 |
| GPT-3.5-turbo | 5.83 | Not recorded | 68fa751b1e209131cea65d00 |
| LLaMA-2-13b-chat | 5.25 | Not recorded | 68fa751b1e209131cea65d00 |
| GPT-3.5-turbo | 4.57 | Not recorded | 68fa751b1e209131cea65d00 |
| Mixtral-8x7b | 3.88 | Not recorded | 68fa751b1e209131cea65d00 |
| Mixtral-8x7b | 3.22 | Not recorded | 68fa751b1e209131cea65d00 |
| LLaMA-2-13b | 2.97 | Not recorded | 68fa751b1e209131cea65d00 |
| LLaMA-2-13b-chat | 1.44 | Not recorded | 68fa751b1e209131cea65d00 |

### GRAPH-COT

R-L Score: 22.33. Result ID: 699374ae3a6c3148491610da.

[Reporting paper](<https://www.sota2.com/research/paper/68fa751b1e209131cea65d00.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa751b1e209131cea65d00.md>)

[Implementation](<https://github.com/PeterGriffinJin/Graph-CoT>)

Recorded evaluation configuration: {"Backbone":"GPT-3.5-turbo-16k"}. This record does not assert independent reproduction.

### GPT-3.5-turbo

R-L Score: 8.69. Result ID: 699374ae3a6c3148491610d9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa751b1e209131cea65d00.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6bf71e209131cea314c0.md>)

[Implementation](<https://github.com/openai/following-instructions-human-feedback>)

Recorded evaluation configuration: {"Category":"Graph RAG"}. This record does not assert independent reproduction.

### Mixtral-8x7b

R-L Score: 8.66. Result ID: 699374ae3a6c3148491610d8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa751b1e209131cea65d00.md>)

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

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

Recorded evaluation configuration: {"Category":"Graph RAG"}. This record does not assert independent reproduction.

### GPT-3.5-turbo

R-L Score: 5.83. Result ID: 699374ae3a6c3148491610d3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa751b1e209131cea65d00.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6bf71e209131cea314c0.md>)

[Implementation](<https://github.com/openai/following-instructions-human-feedback>)

Recorded evaluation configuration: {"Category":"Base"}. This record does not assert independent reproduction.

### LLaMA-2-13b-chat

R-L Score: 5.25. Result ID: 699374ae3a6c3148491610d1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa751b1e209131cea65d00.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa701f1e209131cea492fe.md>)

[Implementation](<https://github.com/facebookresearch/llama>)

Recorded evaluation configuration: {"Category":"Base"}. This record does not assert independent reproduction.

### GPT-3.5-turbo

R-L Score: 4.57. Result ID: 699374ae3a6c3148491610d6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa751b1e209131cea65d00.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6bf71e209131cea314c0.md>)

[Implementation](<https://github.com/openai/following-instructions-human-feedback>)

Recorded evaluation configuration: {"Category":"Text RAG"}. This record does not assert independent reproduction.

### Mixtral-8x7b

R-L Score: 3.88. Result ID: 699374ae3a6c3148491610d2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa751b1e209131cea65d00.md>)

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

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

Recorded evaluation configuration: {"Category":"Base"}. This record does not assert independent reproduction.

### Mixtral-8x7b

R-L Score: 3.22. Result ID: 699374ae3a6c3148491610d5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa751b1e209131cea65d00.md>)

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

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

Recorded evaluation configuration: {"Category":"Text RAG"}. This record does not assert independent reproduction.

### LLaMA-2-13b

R-L Score: 2.97. Result ID: 699374ae3a6c3148491610d7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa751b1e209131cea65d00.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa701f1e209131cea492fe.md>)

[Implementation](<https://github.com/facebookresearch/llama>)

Recorded evaluation configuration: {"Category":"Graph RAG"}. This record does not assert independent reproduction.

### LLaMA-2-13b-chat

R-L Score: 1.44. Result ID: 699374ae3a6c3148491610d4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa751b1e209131cea65d00.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa701f1e209131cea492fe.md>)

[Implementation](<https://github.com/facebookresearch/llama>)

Recorded evaluation configuration: {"Category":"Text RAG"}. This record does not assert independent reproduction.

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