# Multi-hop Question Answering on HybridQA (dev)

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

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

Data updated: 2026-03-17T09:50:43.439Z

Evaluation of model performance on the development split of the HybridQA dataset specifically for Multi-hop Question Answering, reporting Answer Correctness and Answer Completeness.

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) | HybridQA (dev) |
| Metric | Answer Correctness |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 4 of 4 |
| 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

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

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

## Recorded results

| Method | Answer Correctness | Result date | Report paper |
| --- | --- | --- | --- |
| A.DOT | 71 | Not recorded | 69b8e03b0636e5bf4afbed40 |
| Standard RAG | 56.2 | Not recorded | 69b8e03b0636e5bf4afbed40 |
| ReAct | 40.2 | Not recorded | 69b8e03b0636e5bf4afbed40 |
| LLM Compiler | 27.8 | Not recorded | 69b8e03b0636e5bf4afbed40 |

### A.DOT

Answer Correctness: 71. Result ID: 69b9239b47f34ce924a23b8e.

[Reporting paper](<https://www.sota2.com/research/paper/69b8e03b0636e5bf4afbed40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69b8e03b0636e5bf4afbed40.md>)

Recorded evaluation configuration: {"Inference Model":"LLaMA-3 70B","Evaluation Judge":"Mistral Large 2","Retrieval Architecture":"SQL + Milvus"}. This record does not assert independent reproduction.

### Standard RAG

Answer Correctness: 56.2. Result ID: 69b9239b47f34ce924a23b8d.

[Reporting paper](<https://www.sota2.com/research/paper/69b8e03b0636e5bf4afbed40.md>)

Recorded evaluation configuration: {"Inference Model":"LLaMA-3 70B","Evaluation Judge":"Mistral Large 2","Retrieval Architecture":"SQL + Milvus"}. This record does not assert independent reproduction.

### ReAct

Answer Correctness: 40.2. Result ID: 69b9239b47f34ce924a23b8c.

[Reporting paper](<https://www.sota2.com/research/paper/69b8e03b0636e5bf4afbed40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6eb41e209131cea41992.md>)

[Implementation](<https://react-lm.github.io/>)

Recorded evaluation configuration: {"Inference Model":"LLaMA-3 70B","Evaluation Judge":"Mistral Large 2","Retrieval Architecture":"SQL + Milvus"}. This record does not assert independent reproduction.

### LLM Compiler

Answer Correctness: 27.8. Result ID: 69b9239b47f34ce924a23b8b.

[Reporting paper](<https://www.sota2.com/research/paper/69b8e03b0636e5bf4afbed40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa73701e209131cea5c7e2.md>)

Recorded evaluation configuration: {"Inference Model":"LLaMA-3 70B","Evaluation Judge":"Mistral Large 2","Retrieval Architecture":"SQL + Milvus"}. This record does not assert independent reproduction.

Page 1 of 1. This is an index page, not the full collection.
