# Domain-Specific Question Answering on bank

Source: [Domain-Specific Question Answering on bank](<https://www.sota2.com/research/sota/domain-specific-question-answering-on-bank>)

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

Data updated: 2026-02-26T05:32:50.094Z

Evaluation of model performance on the 'bank' dataset for domain-specific question answering tasks, typically measured using 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 | domain-specific question answering |
| Dataset (including any stated split) | bank |
| 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/domain-specific-question-answering-on-bank.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Llamdex-XGBoost | 87.94 | Not recorded | 68fa7c6e1e209131cea8e090 |
| Llamdex-MLP | 87.94 | Not recorded | 68fa7c6e1e209131cea8e090 |
| Expert API | 85.32 | Not recorded | 68fa7c6e1e209131cea8e090 |
| Real Data LoRA | 81.24 | Not recorded | 68fa7c6e1e209131cea8e090 |
| Original LLM | 63.35 | Not recorded | 68fa7c6e1e209131cea8e090 |

### Llamdex-XGBoost

Accuracy: 87.94. Result ID: 699a655a5698665ec4ed847f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7c6e1e209131cea8e090.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7c6e1e209131cea8e090.md>)

Recorded evaluation configuration: {"classifier":"XGBoost"}. This record does not assert independent reproduction.

### Llamdex-MLP

Accuracy: 87.94. Result ID: 699a655a5698665ec4ed8480.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7c6e1e209131cea8e090.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7c6e1e209131cea8e090.md>)

Recorded evaluation configuration: {"classifier":"MLP"}. This record does not assert independent reproduction.

### Expert API

Accuracy: 85.32. Result ID: 699a655a5698665ec4ed847e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7c6e1e209131cea8e090.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e7d1e209131cea40400.md>)

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

### Real Data LoRA

Accuracy: 81.24. Result ID: 699a655a5698665ec4ed847c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7c6e1e209131cea8e090.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b121e209131cea2bf59.md>)

[Implementation](<https://github.com/microsoft/LoRA>)

Recorded evaluation configuration: {"training\_data":"Real Data"}. This record does not assert independent reproduction.

### Original LLM

Accuracy: 63.35. Result ID: 699a655a5698665ec4ed847d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7c6e1e209131cea8e090.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70d61e209131cea4d909.md>)

[Implementation](<https://github.com/mistralai/mistral-src>)

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.