# Multi-hop Question Answering on HotpotQA (Accuracy and Avg. Tokens)

Source: [Multi-hop Question Answering on HotpotQA (Accuracy and Avg. Tokens)](<https://www.sota2.com/research/sota/multi-hop-question-answering-on-hotpotqa-accuracy-and-avg-tokens>)

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

Data updated: 2026-03-09T07:34:46.130Z

Evaluation of model performance on the HotpotQA dataset for multi-hop question answering, reporting standard accuracy and the average length of generated tokens.

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 |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 15 of 15 |
| 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

- [Accuracy](<https://www.sota2.com/research/sota/multi-hop-question-answering-on-hotpotqa-accuracy-and-avg-tokens.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [Average Tokens](<https://www.sota2.com/research/sota/multi-hop-question-answering-on-hotpotqa-accuracy-and-avg-tokens.md?metric=Average%20Tokens>): Higher is better; unit: SCALAR.

- [Average Input Tokens](<https://www.sota2.com/research/sota/multi-hop-question-answering-on-hotpotqa-accuracy-and-avg-tokens.md?metric=Average%20Input%20Tokens>): Higher is better; unit: SCALAR.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| RouteGoT | 88 | Not recorded | 69ae53fd2d603e6de3e42b01 |
| GoT\* | 87 | Not recorded | 69ae53fd2d603e6de3e42b01 |
| CoT | 86 | Not recorded | 69ae53fd2d603e6de3e42b01 |
| RouteLLM | 83 | Not recorded | 69ae53fd2d603e6de3e42b01 |
| IO | 81 | Not recorded | 69ae53fd2d603e6de3e42b01 |
| KNN | 79 | Not recorded | 69ae53fd2d603e6de3e42b01 |
| RTR | 79 | Not recorded | 69ae53fd2d603e6de3e42b01 |
| Random | 77 | Not recorded | 69ae53fd2d603e6de3e42b01 |
| EmbedLLM | 77 | Not recorded | 69ae53fd2d603e6de3e42b01 |
| AGoT | 72 | Not recorded | 69ae53fd2d603e6de3e42b01 |
| ACE | 62.8 | Not recorded | 6967232ce25ad2fa9d1ec2bb |
| ToT | 60 | Not recorded | 69ae53fd2d603e6de3e42b01 |
| RAG | 38.9 | Not recorded | 6967232ce25ad2fa9d1ec2bb |
| IterDRAG | 38.9 | Not recorded | 6967232ce25ad2fa9d1ec2bb |
| Vanilla | 25.7 | Not recorded | 6967232ce25ad2fa9d1ec2bb |

### RouteGoT

Accuracy: 88. Result ID: 69ae78076dbb7075b9563de6.

[Reporting paper](<https://www.sota2.com/research/paper/69ae53fd2d603e6de3e42b01.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69ae53fd2d603e6de3e42b01.md>)

Recorded evaluation configuration: {"Model Pool":"{Qwen3-4B, 8B, 30B}"}. This record does not assert independent reproduction.

### GoT\*

Accuracy: 87. Result ID: 69ae78076dbb7075b9563ddf.

[Reporting paper](<https://www.sota2.com/research/paper/69ae53fd2d603e6de3e42b01.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72ba1e209131cea582e3.md>)

Recorded evaluation configuration: {"Backbone":"Qwen3-30B"}. This record does not assert independent reproduction.

### CoT

Accuracy: 86. Result ID: 69ae78076dbb7075b9563ddd.

[Reporting paper](<https://www.sota2.com/research/paper/69ae53fd2d603e6de3e42b01.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e571e209131cea3f27b.md>)

Recorded evaluation configuration: {"Backbone":"Qwen3-30B"}. This record does not assert independent reproduction.

### RouteLLM

Accuracy: 83. Result ID: 69ae78076dbb7075b9563de3.

[Reporting paper](<https://www.sota2.com/research/paper/69ae53fd2d603e6de3e42b01.md>)

Recorded evaluation configuration: {"Model Pool":"{Qwen3-4B, 8B, 30B}"}. This record does not assert independent reproduction.

### IO

Accuracy: 81. Result ID: 69ae78076dbb7075b9563ddc.

[Reporting paper](<https://www.sota2.com/research/paper/69ae53fd2d603e6de3e42b01.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e571e209131cea3f27b.md>)

Recorded evaluation configuration: {"Backbone":"Qwen3-30B"}. This record does not assert independent reproduction.

### KNN

Accuracy: 79. Result ID: 69ae78076dbb7075b9563de2.

[Reporting paper](<https://www.sota2.com/research/paper/69ae53fd2d603e6de3e42b01.md>)

Recorded evaluation configuration: {"Model Pool":"{Qwen3-4B, 8B, 30B}"}. This record does not assert independent reproduction.

### RTR

Accuracy: 79. Result ID: 69ae78076dbb7075b9563de5.

[Reporting paper](<https://www.sota2.com/research/paper/69ae53fd2d603e6de3e42b01.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa78c11e209131cea7a4b7.md>)

Recorded evaluation configuration: {"Model Pool":"{Qwen3-4B, 8B, 30B}"}. This record does not assert independent reproduction.

### Random

Accuracy: 77. Result ID: 69ae78076dbb7075b9563de1.

[Reporting paper](<https://www.sota2.com/research/paper/69ae53fd2d603e6de3e42b01.md>)

Recorded evaluation configuration: {"Model Pool":"{Qwen3-4B, 8B, 30B}"}. This record does not assert independent reproduction.

### EmbedLLM

Accuracy: 77. Result ID: 69ae78076dbb7075b9563de4.

[Reporting paper](<https://www.sota2.com/research/paper/69ae53fd2d603e6de3e42b01.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75411e209131cea66d8e.md>)

Recorded evaluation configuration: {"Model Pool":"{Qwen3-4B, 8B, 30B}"}. This record does not assert independent reproduction.

### AGoT

Accuracy: 72. Result ID: 69ae78076dbb7075b9563de0.

[Reporting paper](<https://www.sota2.com/research/paper/69ae53fd2d603e6de3e42b01.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa76e91e209131cea6fe10.md>)

Recorded evaluation configuration: {"Backbone":"Qwen3-30B"}. This record does not assert independent reproduction.

### ACE

Accuracy: 62.8. Result ID: 6996885a5698665ec4d0d15d.

[Reporting paper](<https://www.sota2.com/research/paper/6967232ce25ad2fa9d1ec2bb.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6967232ce25ad2fa9d1ec2bb.md>)

Recorded evaluation configuration: {"Backbone":"LLaMA-3.1-8B-Instruct"}. This record does not assert independent reproduction.

### ToT

Accuracy: 60. Result ID: 69ae78076dbb7075b9563dde.

[Reporting paper](<https://www.sota2.com/research/paper/69ae53fd2d603e6de3e42b01.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71551e209131cea50930.md>)

[Implementation](<https://github.com/princeton-nlp/tree-of-thought-llm>)

Recorded evaluation configuration: {"Backbone":"Qwen3-30B"}. This record does not assert independent reproduction.

### RAG

Accuracy: 38.9. Result ID: 6996885a5698665ec4d0d15b.

[Reporting paper](<https://www.sota2.com/research/paper/6967232ce25ad2fa9d1ec2bb.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69b91e209131cea23c26.md>)

[Implementation](<https://github.com/huggingface/transformers/blob/master/examples/rag/>)

Recorded evaluation configuration: {"Backbone":"LLaMA-3.1-8B-Instruct"}. This record does not assert independent reproduction.

### IterDRAG

Accuracy: 38.9. Result ID: 6996885a5698665ec4d0d15c.

[Reporting paper](<https://www.sota2.com/research/paper/6967232ce25ad2fa9d1ec2bb.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70f21e209131cea4e48a.md>)

Recorded evaluation configuration: {"Backbone":"LLaMA-3.1-8B-Instruct"}. This record does not assert independent reproduction.

### Vanilla

Accuracy: 25.7. Result ID: 6996885a5698665ec4d0d15a.

[Reporting paper](<https://www.sota2.com/research/paper/6967232ce25ad2fa9d1ec2bb.md>)

Recorded evaluation configuration: {"Backbone":"LLaMA-3.1-8B-Instruct"}. This record does not assert independent reproduction.

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