# Commonsense Question Answering on ECQA (test)

Source: [Commonsense Question Answering on ECQA (test)](<https://www.sota2.com/research/sota/commonsense-question-answering-on-ecqa-test>)

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

Data updated: 2026-05-18T07:54:53.065Z

Evaluation of model performance on the test split of the ECQA dataset for Commonsense Question Answering, focusing on accuracy and faithfulness metrics.

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 | Commonsense Question Answering |
| Dataset (including any stated split) | ECQA (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 13 of 13 |
| 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/commonsense-question-answering-on-ecqa-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [CT Unfaithfulness](<https://www.sota2.com/research/sota/commonsense-question-answering-on-ecqa-test.md?metric=CT%20Unfaithfulness>): Lower is better; unit: PERCENT.

- [CCT Faithfulness](<https://www.sota2.com/research/sota/commonsense-question-answering-on-ecqa-test.md?metric=CCT%20Faithfulness>): Higher is better; unit: SCALAR.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Llama2-70B | 79.7 | Not recorded | 68fa738f1e209131cea5d3bb |
| Llama2-70B | 77.8 | Not recorded | 68fa738f1e209131cea5d3bb |
| NV-Embed | 71.75 | Not recorded | 6a0a9cdddbc836b87d82b22f |
| Llama2-13B | 71.4 | Not recorded | 68fa738f1e209131cea5d3bb |
| LESS | 71.19 | Not recorded | 6a0a9cdddbc836b87d82b22f |
| Interaction-Aware Influence Function (Ours) | 71.17 | Not recorded | 6a0a9cdddbc836b87d82b22f |
| RDS+ | 70.88 | Not recorded | 6a0a9cdddbc836b87d82b22f |
| Random | 69.85 | Not recorded | 6a0a9cdddbc836b87d82b22f |
| Additive IF | 69.52 | Not recorded | 6a0a9cdddbc836b87d82b22f |
| Llama2-13B | 68 | Not recorded | 68fa738f1e209131cea5d3bb |
| Llama2-7B | 55.2 | Not recorded | 68fa738f1e209131cea5d3bb |
| Llama2-7B | 54.1 | Not recorded | 68fa738f1e209131cea5d3bb |
| Random | 20 | Not recorded | 68fa738f1e209131cea5d3bb |

### Llama2-70B

Accuracy: 79.7. Result ID: 6992f1e53a6c314849128d19.

[Reporting paper](<https://www.sota2.com/research/paper/68fa738f1e209131cea5d3bb.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa701f1e209131cea492fe.md>)

[Implementation](<https://github.com/facebookresearch/llama>)

Recorded evaluation configuration: {"Prompt Order":"predict-then-explain (PE)"}. This record does not assert independent reproduction.

### Llama2-70B

Accuracy: 77.8. Result ID: 6992f1e53a6c314849128d1a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa738f1e209131cea5d3bb.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa701f1e209131cea492fe.md>)

[Implementation](<https://github.com/facebookresearch/llama>)

Recorded evaluation configuration: {"Prompt Order":"explain-then-predict (EP)"}. This record does not assert independent reproduction.

### NV-Embed

Accuracy: 71.75. Result ID: 6a0ac5ca47f34ce924f0ab57.

[Reporting paper](<https://www.sota2.com/research/paper/6a0a9cdddbc836b87d82b22f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa771b1e209131cea71079.md>)

Recorded evaluation configuration: {"Base Model":"Llama-3.1-8B","Evaluation Protocol":"Fine-tuned","Number of Seeds":"5"}. This record does not assert independent reproduction.

### Llama2-13B

Accuracy: 71.4. Result ID: 6992f1e53a6c314849128d18.

[Reporting paper](<https://www.sota2.com/research/paper/68fa738f1e209131cea5d3bb.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa701f1e209131cea492fe.md>)

[Implementation](<https://github.com/facebookresearch/llama>)

Recorded evaluation configuration: {"Prompt Order":"explain-then-predict (EP)"}. This record does not assert independent reproduction.

### LESS

Accuracy: 71.19. Result ID: 6a0ac5ca47f34ce924f0ab55.

[Reporting paper](<https://www.sota2.com/research/paper/6a0a9cdddbc836b87d82b22f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa76011e209131cea6adaf.md>)

Recorded evaluation configuration: {"Base Model":"Llama-3.1-8B","Evaluation Protocol":"Fine-tuned","Number of Seeds":"5"}. This record does not assert independent reproduction.

### Interaction-Aware Influence Function (Ours)

Accuracy: 71.17. Result ID: 6a0ac5ca47f34ce924f0ab58.

[Reporting paper](<https://www.sota2.com/research/paper/6a0a9cdddbc836b87d82b22f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a0a9cdddbc836b87d82b22f.md>)

Recorded evaluation configuration: {"Base Model":"Llama-3.1-8B","Evaluation Protocol":"Fine-tuned","Number of Seeds":"5"}. This record does not assert independent reproduction.

### RDS+

Accuracy: 70.88. Result ID: 6a0ac5ca47f34ce924f0ab56.

[Reporting paper](<https://www.sota2.com/research/paper/6a0a9cdddbc836b87d82b22f.md>)

Recorded evaluation configuration: {"Base Model":"Llama-3.1-8B","Evaluation Protocol":"Fine-tuned","Number of Seeds":"5"}. This record does not assert independent reproduction.

### Random

Accuracy: 69.85. Result ID: 6a0ac5ca47f34ce924f0ab53.

[Reporting paper](<https://www.sota2.com/research/paper/6a0a9cdddbc836b87d82b22f.md>)

Recorded evaluation configuration: {"Base Model":"Llama-3.1-8B","Evaluation Protocol":"Fine-tuned","Number of Seeds":"5"}. This record does not assert independent reproduction.

### Additive IF

Accuracy: 69.52. Result ID: 6a0ac5ca47f34ce924f0ab54.

[Reporting paper](<https://www.sota2.com/research/paper/6a0a9cdddbc836b87d82b22f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68f81e209131cea1f643.md>)

Recorded evaluation configuration: {"Base Model":"Llama-3.1-8B","Evaluation Protocol":"Fine-tuned","Number of Seeds":"5"}. This record does not assert independent reproduction.

### Llama2-13B

Accuracy: 68. Result ID: 6992f1e53a6c314849128d17.

[Reporting paper](<https://www.sota2.com/research/paper/68fa738f1e209131cea5d3bb.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa701f1e209131cea492fe.md>)

[Implementation](<https://github.com/facebookresearch/llama>)

Recorded evaluation configuration: {"Prompt Order":"predict-then-explain (PE)"}. This record does not assert independent reproduction.

### Llama2-7B

Accuracy: 55.2. Result ID: 6992f1e53a6c314849128d16.

[Reporting paper](<https://www.sota2.com/research/paper/68fa738f1e209131cea5d3bb.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa701f1e209131cea492fe.md>)

[Implementation](<https://github.com/facebookresearch/llama>)

Recorded evaluation configuration: {"Prompt Order":"explain-then-predict (EP)"}. This record does not assert independent reproduction.

### Llama2-7B

Accuracy: 54.1. Result ID: 6992f1e53a6c314849128d15.

[Reporting paper](<https://www.sota2.com/research/paper/68fa738f1e209131cea5d3bb.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa701f1e209131cea492fe.md>)

[Implementation](<https://github.com/facebookresearch/llama>)

Recorded evaluation configuration: {"Prompt Order":"predict-then-explain (PE)"}. This record does not assert independent reproduction.

### Random

Accuracy: 20. Result ID: 6992f1e53a6c314849128d1b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa738f1e209131cea5d3bb.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

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