# Multi-hop Question Answering on HotpotQA Overall distractor (val) Source: [Multi-hop Question Answering on HotpotQA Overall distractor (val)]() Collection index: [llms.txt]() Data updated: 2026-05-21T10:54:54.349Z Evaluation of model performance on the validation split of the HotpotQA dataset, specifically using the 'Overall distractor' setting for multi-hop question answering tasks. 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 Overall 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](): Higher is better; unit: PERCENT. - [Cost ($)](): Lower is better; unit: SCALAR. - [NB Retention](): Higher is better; unit: PERCENT. - [P-value vs LLM](): Lower is better; unit: SCALAR. - [P-value vs Uniform](): Lower is better; unit: SCALAR. ## Recorded results | Method | Mean F1 | Result date | Report paper | | --- | --- | --- | --- | | zebra-additive | 47.3 | Not recorded | 6a0e919af984739ed6738b5f | | uniform | 46.9 | Not recorded | 6a0e919af984739ed6738b5f | | zebra-mult\_offset | 46.3 | Not recorded | 6a0e919af984739ed6738b5f | | llm | 40 | Not recorded | 6a0e919af984739ed6738b5f | ### zebra-additive Mean F1: 47.3. Result ID: 6a0ee473fbc373592c06ec91. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Strategy":"zebra-additive","Model":"gpt-4o-mini","alpha":"0.5","runs\_per\_cell":"15"}. This record does not assert independent reproduction. ### uniform Mean F1: 46.9. Result ID: 6a0ee473fbc373592c06ec93. [Reporting paper]() Recorded evaluation configuration: {"Strategy":"uniform","Model":"gpt-4o-mini","alpha":"0.5","runs\_per\_cell":"15"}. This record does not assert independent reproduction. ### zebra-mult\_offset Mean F1: 46.3. Result ID: 6a0ee473fbc373592c06ec92. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Strategy":"zebra-mult\_offset","Model":"gpt-4o-mini","alpha":"0.5","runs\_per\_cell":"15"}. This record does not assert independent reproduction. ### llm Mean F1: 40. Result ID: 6a0ee473fbc373592c06ec94. [Reporting paper]() Recorded evaluation configuration: {"Strategy":"llm","Model":"gpt-4o-mini","alpha":"0.5","runs\_per\_cell":"15"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.