# Long-document Question Answering on FinQ100

Source: [Long-document Question Answering on FinQ100](<https://www.sota2.com/research/sota/long-document-question-answering-on-finq100>)

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

Data updated: 2026-04-27T07:09:40.904Z

Evaluation of model performance on the FinQ100 dataset for Long-document Question Answering, reporting Accuracy.

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 | Long-document Question Answering |
| Dataset (including any stated split) | FinQ100 |
| Metric | Accuracy |
| 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

- [Accuracy](<https://www.sota2.com/research/sota/long-document-question-answering-on-finq100.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| SLIDERS | 60.18 | Not recorded | 69eeed9955a3c32af89f97f5 |
| SLIDERS | 55.22 | Not recorded | 69eeed9955a3c32af89f97f5 |
| LongRAG | 28.87 | Not recorded | 69eeed9955a3c32af89f97f5 |
| RAG | 5 | Not recorded | 69eeed9955a3c32af89f97f5 |

### SLIDERS

Accuracy: 60.18. Result ID: 69ef0a7c47f34ce924d4bc8d.

[Reporting paper](<https://www.sota2.com/research/paper/69eeed9955a3c32af89f97f5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69eeed9955a3c32af89f97f5.md>)

[Implementation](<https://github.com/stanford-oval/sliders>)

Recorded evaluation configuration: {"LLMs":"Qwen3.5 122B-A10B"}. This record does not assert independent reproduction.

### SLIDERS

Accuracy: 55.22. Result ID: 69ef0a7c47f34ce924d4bc8c.

[Reporting paper](<https://www.sota2.com/research/paper/69eeed9955a3c32af89f97f5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69eeed9955a3c32af89f97f5.md>)

[Implementation](<https://github.com/stanford-oval/sliders>)

Recorded evaluation configuration: {"LLMs":"GPT 4.1 & GPT 4.1-mini"}. This record does not assert independent reproduction.

### LongRAG

Accuracy: 28.87. Result ID: 69ef0a7c47f34ce924d4bc8b.

[Reporting paper](<https://www.sota2.com/research/paper/69eeed9955a3c32af89f97f5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa74ae1e209131cea63323.md>)

Recorded evaluation configuration: {"LLMs":"Qwen3-4B & GPT 4.1"}. This record does not assert independent reproduction.

### RAG

Accuracy: 5. Result ID: 69ef0a7c47f34ce924d4bc8a.

[Reporting paper](<https://www.sota2.com/research/paper/69eeed9955a3c32af89f97f5.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: {"LLMs":"Qwen3-4B & GPT 4.1"}. This record does not assert independent reproduction.

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