# Multi-hop Question Answering on HotpotQA (val) (F1)

Source: [Multi-hop Question Answering on HotpotQA (val) (F1)](<https://www.sota2.com/research/sota/multi-hop-question-answering-on-hotpotqa-val-f1>)

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

Data updated: 2026-06-15T07:18:28.779Z

Evaluation of model performance on the validation split of the HotpotQA dataset for multi-hop question answering, reporting only the F1 score.

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) | HotpotQA (val) |
| Metric | F1 Score |
| 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

- [F1 Score](<https://www.sota2.com/research/sota/multi-hop-question-answering-on-hotpotqa-val-f1.md?metric=F1%20Score>): Higher is better; unit: PERCENT.

## Recorded results

| Method | F1 Score | Result date | Report paper |
| --- | --- | --- | --- |
| GTBP | 80 | Not recorded | 6a2f86ded33dfb23e783be04 |
| GEPA | 76.97 | Not recorded | 6a2f86ded33dfb23e783be04 |
| Few-shot | 76.59 | Not recorded | 6a2f86ded33dfb23e783be04 |
| Zero-shot | 75.35 | Not recorded | 6a2f86ded33dfb23e783be04 |

### GTBP

F1 Score: 80. Result ID: 6a2fa6d1fbc373592c2b83f6.

[Reporting paper](<https://www.sota2.com/research/paper/6a2f86ded33dfb23e783be04.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a2f86ded33dfb23e783be04.md>)

Recorded evaluation configuration: {"Backbone":"GPT-4.1-mini","Number of intermediate modules K":"tuned over {1, 2, 4}","Mini-batch size":"15","Number of iterations":"15"}. This record does not assert independent reproduction.

### GEPA

F1 Score: 76.97. Result ID: 6a2fa6d1fbc373592c2b83f5.

[Reporting paper](<https://www.sota2.com/research/paper/6a2f86ded33dfb23e783be04.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70d01e209131cea4d60e.md>)

[Implementation](<https://github.com/stanfordnlp/dspy>)

Recorded evaluation configuration: {"Backbone":"GPT-4.1-mini","Implementation":"DSPy","Reflection mini-batch size":"3","Metric-call budget":"1000"}. This record does not assert independent reproduction.

### Few-shot

F1 Score: 76.59. Result ID: 6a2fa6d1fbc373592c2b83f4.

[Reporting paper](<https://www.sota2.com/research/paper/6a2f86ded33dfb23e783be04.md>)

Recorded evaluation configuration: {"Backbone":"GPT-4.1-mini","Shot mode":"few-shot","Number of examples":"tuned over {1, 3, 5, 10}"}. This record does not assert independent reproduction.

### Zero-shot

F1 Score: 75.35. Result ID: 6a2fa6d1fbc373592c2b83f3.

[Reporting paper](<https://www.sota2.com/research/paper/6a2f86ded33dfb23e783be04.md>)

Recorded evaluation configuration: {"Backbone":"GPT-4.1-mini","Shot mode":"zero-shot"}. This record does not assert independent reproduction.

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