# Multi-hop Question Answering on Medical corpus

Source: [Multi-hop Question Answering on Medical corpus](<https://www.sota2.com/research/sota/multi-hop-question-answering-on-medical-corpus>)

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

Data updated: 2026-06-30T06:31:13.249Z

Evaluation of model performance on the Medical corpus dataset for Multi-hop Question Answering tasks, measured using Mean Accuracy.

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 | Multi-hop Question Answering |
| Dataset (including any stated split) | Medical corpus |
| Metric | Mean Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 5 of 5 |
| 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

- [Mean Accuracy](<https://www.sota2.com/research/sota/multi-hop-question-answering-on-medical-corpus.md?metric=Mean%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Mean Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| HyperSU | 71.11 | Not recorded | 6a434d6fba73165dbb7437db |
| Hyper-RAG | 65.5 | Not recorded | 6a434d6fba73165dbb7437db |
| HippoRAG 2 | 64.61 | Not recorded | 6a434d6fba73165dbb7437db |
| HyperGraphRAG | 64.55 | Not recorded | 6a434d6fba73165dbb7437db |
| LightRAG | 63.9 | Not recorded | 6a434d6fba73165dbb7437db |

### HyperSU

Mean Accuracy: 71.11. Result ID: 6a436295fbc373592c929afe.

[Reporting paper](<https://www.sota2.com/research/paper/6a434d6fba73165dbb7437db.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a434d6fba73165dbb7437db.md>)

Recorded evaluation configuration: {"Tokens":"406","Latency (s)":"3.0"}. This record does not assert independent reproduction.

### Hyper-RAG

Mean Accuracy: 65.5. Result ID: 6a436295fbc373592c929aff.

[Reporting paper](<https://www.sota2.com/research/paper/6a434d6fba73165dbb7437db.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77eb1e209131cea75ff8.md>)

Recorded evaluation configuration: {"Tokens":"521","Latency (s)":"4.8"}. This record does not assert independent reproduction.

### HippoRAG 2

Mean Accuracy: 64.61. Result ID: 6a436295fbc373592c929b01.

[Reporting paper](<https://www.sota2.com/research/paper/6a434d6fba73165dbb7437db.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa79821e209131cea7de8a.md>)

Recorded evaluation configuration: {"Tokens":"2,739","Latency (s)":"9.5"}. This record does not assert independent reproduction.

### HyperGraphRAG

Mean Accuracy: 64.55. Result ID: 6a436295fbc373592c929b02.

[Reporting paper](<https://www.sota2.com/research/paper/6a434d6fba73165dbb7437db.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7c4a1e209131cea8d698.md>)

Recorded evaluation configuration: {"Tokens":"3,757","Latency (s)":"22.1"}. This record does not assert independent reproduction.

### LightRAG

Mean Accuracy: 63.9. Result ID: 6a436295fbc373592c929b00.

[Reporting paper](<https://www.sota2.com/research/paper/6a434d6fba73165dbb7437db.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa78461e209131cea778bd.md>)

Recorded evaluation configuration: {"Tokens":"617","Latency (s)":"5.0"}. This record does not assert independent reproduction.

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