# Multi-hop Question Answering on HotpotQA Easy tier distractor (val)

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

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

Data updated: 2026-05-21T10:54:54.384Z

Evaluation of model performance on the Easy tier distractor subset of the HotpotQA validation split, focusing on multi-hop question answering capabilities.

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 Easy tier distractor (val) |
| Metric | Mean F1 |
| 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

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

- [Cost ($)](<https://www.sota2.com/research/sota/multi-hop-question-answering-on-hotpotqa-easy-tier-distractor-val.md?metric=Cost%20(%24)>): Lower is better; unit: OTHER.

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

- [p vs LLM](<https://www.sota2.com/research/sota/multi-hop-question-answering-on-hotpotqa-easy-tier-distractor-val.md?metric=p%20vs%20LLM>): Lower is better; unit: SCALAR.

- [p vs Uniform](<https://www.sota2.com/research/sota/multi-hop-question-answering-on-hotpotqa-easy-tier-distractor-val.md?metric=p%20vs%20Uniform>): Lower is better; unit: SCALAR.

## Recorded results

| Method | Mean F1 | Result date | Report paper |
| --- | --- | --- | --- |
| uniform | 60.1 | Not recorded | 6a0e919af984739ed6738b5f |
| zebra-mult\_offset | 59 | Not recorded | 6a0e919af984739ed6738b5f |
| zebra-additive | 58.9 | Not recorded | 6a0e919af984739ed6738b5f |
| llm | 52.6 | Not recorded | 6a0e919af984739ed6738b5f |

### uniform

Mean F1: 60.1. Result ID: 6a0ee473fbc373592c06ec97.

[Reporting paper](<https://www.sota2.com/research/paper/6a0e919af984739ed6738b5f.md>)

Recorded evaluation configuration: {"Strategy":"uniform","Model":"gpt-4o-mini"}. This record does not assert independent reproduction.

### zebra-mult\_offset

Mean F1: 59. Result ID: 6a0ee473fbc373592c06ec96.

[Reporting paper](<https://www.sota2.com/research/paper/6a0e919af984739ed6738b5f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a0e919af984739ed6738b5f.md>)

Recorded evaluation configuration: {"Strategy":"zebra-mult\_offset","Model":"gpt-4o-mini"}. This record does not assert independent reproduction.

### zebra-additive

Mean F1: 58.9. Result ID: 6a0ee473fbc373592c06ec95.

[Reporting paper](<https://www.sota2.com/research/paper/6a0e919af984739ed6738b5f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a0e919af984739ed6738b5f.md>)

Recorded evaluation configuration: {"Strategy":"zebra-additive","Model":"gpt-4o-mini"}. This record does not assert independent reproduction.

### llm

Mean F1: 52.6. Result ID: 6a0ee473fbc373592c06ec98.

[Reporting paper](<https://www.sota2.com/research/paper/6a0e919af984739ed6738b5f.md>)

Recorded evaluation configuration: {"Strategy":"llm","Model":"gpt-4o-mini"}. This record does not assert independent reproduction.

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