# Multi-hop Question Answering on MuSiQue (LLM-Acc, Match-Acc)

Source: [Multi-hop Question Answering on MuSiQue (LLM-Acc, Match-Acc)](<https://www.sota2.com/research/sota/multi-hop-question-answering-on-musique-llm-acc-match-acc>)

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

Data updated: 2026-06-01T08:46:30.555Z

Evaluation of model performance on the MuSiQue dataset for Multi-hop Question Answering, reporting LLM Accuracy (LLM-Acc) and Match Accuracy (Match-Acc).

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) | MuSiQue |
| Metric | LLM Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 9 of 9 |
| 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

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

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

## Recorded results

| Method | LLM Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| MoG | 66 | Not recorded | 6a1d11e9dbd7150506f83e40 |
| Youtu-GraphRAG | 51.4 | Not recorded | 6a1d11e9dbd7150506f83e40 |
| HippoRAG2 | 50.8 | Not recorded | 6a1d11e9dbd7150506f83e40 |
| RAPTOR | 48.5 | Not recorded | 6a1d11e9dbd7150506f83e40 |
| HippoRAG | 48.3 | Not recorded | 6a1d11e9dbd7150506f83e40 |
| LightRAG | 39 | Not recorded | 6a1d11e9dbd7150506f83e40 |
| E2GraphRAG | 28.4 | Not recorded | 6a1d11e9dbd7150506f83e40 |
| Zero-shot LLM | 25.7 | Not recorded | 6a1d11e9dbd7150506f83e40 |
| G-retriever | 23.5 | Not recorded | 6a1d11e9dbd7150506f83e40 |

### MoG

LLM Accuracy: 66. Result ID: 6a1d46d4fbc373592c168da7.

[Reporting paper](<https://www.sota2.com/research/paper/6a1d11e9dbd7150506f83e40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a1d11e9dbd7150506f83e40.md>)

Recorded evaluation configuration: {"Backbone":"DeepSeek-V3"}. This record does not assert independent reproduction.

### Youtu-GraphRAG

LLM Accuracy: 51.4. Result ID: 6a1d46d4fbc373592c168da6.

[Reporting paper](<https://www.sota2.com/research/paper/6a1d11e9dbd7150506f83e40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7b071e209131cea864d3.md>)

Recorded evaluation configuration: {"Backbone":"DeepSeek-V3"}. This record does not assert independent reproduction.

### HippoRAG2

LLM Accuracy: 50.8. Result ID: 6a1d46d4fbc373592c168da5.

[Reporting paper](<https://www.sota2.com/research/paper/6a1d11e9dbd7150506f83e40.md>)

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

Recorded evaluation configuration: {"Backbone":"DeepSeek-V3"}. This record does not assert independent reproduction.

### RAPTOR

LLM Accuracy: 48.5. Result ID: 6a1d46d4fbc373592c168da3.

[Reporting paper](<https://www.sota2.com/research/paper/6a1d11e9dbd7150506f83e40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71fe1e209131cea53fc2.md>)

Recorded evaluation configuration: {"Backbone":"DeepSeek-V3"}. This record does not assert independent reproduction.

### HippoRAG

LLM Accuracy: 48.3. Result ID: 6a1d46d4fbc373592c168da4.

[Reporting paper](<https://www.sota2.com/research/paper/6a1d11e9dbd7150506f83e40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa76981e209131cea6dff9.md>)

Recorded evaluation configuration: {"Backbone":"DeepSeek-V3"}. This record does not assert independent reproduction.

### LightRAG

LLM Accuracy: 39. Result ID: 6a1d46d4fbc373592c168da1.

[Reporting paper](<https://www.sota2.com/research/paper/6a1d11e9dbd7150506f83e40.md>)

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

Recorded evaluation configuration: {"Backbone":"DeepSeek-V3"}. This record does not assert independent reproduction.

### E2GraphRAG

LLM Accuracy: 28.4. Result ID: 6a1d46d4fbc373592c168da2.

[Reporting paper](<https://www.sota2.com/research/paper/6a1d11e9dbd7150506f83e40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa79291e209131cea7c584.md>)

Recorded evaluation configuration: {"Backbone":"DeepSeek-V3"}. This record does not assert independent reproduction.

### Zero-shot LLM

LLM Accuracy: 25.7. Result ID: 6a1d46d4fbc373592c168d9f.

[Reporting paper](<https://www.sota2.com/research/paper/6a1d11e9dbd7150506f83e40.md>)

Recorded evaluation configuration: {"Backbone":"DeepSeek-V3"}. This record does not assert independent reproduction.

### G-retriever

LLM Accuracy: 23.5. Result ID: 6a1d46d4fbc373592c168da0.

[Reporting paper](<https://www.sota2.com/research/paper/6a1d11e9dbd7150506f83e40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa73541e209131cea5bdef.md>)

[Implementation](<https://github.com/XiaoxinHe/G-Retriever>)

Recorded evaluation configuration: {"Backbone":"DeepSeek-V3"}. This record does not assert independent reproduction.

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