# Financial Question Answering on MultiFinRAG Text-based

Source: [Financial Question Answering on MultiFinRAG Text-based](<https://www.sota2.com/research/sota/financial-question-answering-on-multifinrag-text-based>)

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

Data updated: 2026-04-13T07:12:10.652Z

Evaluation of model performance on the MultiFinRAG Text-based dataset for Financial Question Answering.

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 | Financial Question Answering |
| Dataset (including any stated split) | MultiFinRAG Text-based |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 5 of 5 |
| 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/financial-question-answering-on-multifinrag-text-based.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| MultiFinRAG | 90.4 | Not recorded | 68fa79a31e209131cea7e965 |
| ChatGPT-4o | 86.3 | Not recorded | 68fa79a31e209131cea7e965 |
| MultiFinRAG | 83.6 | Not recorded | 68fa79a31e209131cea7e965 |
| Baseline | 76.7 | Not recorded | 68fa79a31e209131cea7e965 |
| Baseline | 75.3 | Not recorded | 68fa79a31e209131cea7e965 |

### MultiFinRAG

Accuracy: 90.4. Result ID: 69dc973f47f34ce924c32246.

[Reporting paper](<https://www.sota2.com/research/paper/68fa79a31e209131cea7e965.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa79a31e209131cea7e965.md>)

Recorded evaluation configuration: {"Framework":"MultiFinRAG","LLM Backbone":"Gemma"}. This record does not assert independent reproduction.

### ChatGPT-4o

Accuracy: 86.3. Result ID: 69dc973f47f34ce924c32247.

[Reporting paper](<https://www.sota2.com/research/paper/68fa79a31e209131cea7e965.md>)

Recorded evaluation configuration: {"Version":"Free Tier"}. This record does not assert independent reproduction.

### MultiFinRAG

Accuracy: 83.6. Result ID: 69dc973f47f34ce924c32245.

[Reporting paper](<https://www.sota2.com/research/paper/68fa79a31e209131cea7e965.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa79a31e209131cea7e965.md>)

Recorded evaluation configuration: {"Framework":"MultiFinRAG","LLM Backbone":"Llama"}. This record does not assert independent reproduction.

### Baseline

Accuracy: 76.7. Result ID: 69dc973f47f34ce924c32244.

[Reporting paper](<https://www.sota2.com/research/paper/68fa79a31e209131cea7e965.md>)

Recorded evaluation configuration: {"Framework":"Baseline","LLM Backbone":"Gemma"}. This record does not assert independent reproduction.

### Baseline

Accuracy: 75.3. Result ID: 69dc973f47f34ce924c32243.

[Reporting paper](<https://www.sota2.com/research/paper/68fa79a31e209131cea7e965.md>)

Recorded evaluation configuration: {"Framework":"Baseline","LLM Backbone":"Llama"}. This record does not assert independent reproduction.

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