# NLU and Question Answering on SuperGLUE

Source: [NLU and Question Answering on SuperGLUE](<https://www.sota2.com/research/sota/nlu-and-question-answering-on-superglue>)

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

Data updated: 2026-03-24T16:08:12.932Z

Evaluation of model performance across multiple constituent tasks within the SuperGLUE benchmark suite, covering NLU and Question Answering capabilities, reporting individual task accuracies and an overall average.

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 | NLU and Question Answering |
| Dataset (including any stated split) | SuperGLUE |
| Metric | SST-2 Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 9 of 9 |
| 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

- [SST-2 Accuracy](<https://www.sota2.com/research/sota/nlu-and-question-answering-on-superglue.md?metric=SST-2%20Accuracy>): Higher is better; unit: PERCENT.

- [RTE Accuracy](<https://www.sota2.com/research/sota/nlu-and-question-answering-on-superglue.md?metric=RTE%20Accuracy>): Higher is better; unit: PERCENT.

- [CB Accuracy](<https://www.sota2.com/research/sota/nlu-and-question-answering-on-superglue.md?metric=CB%20Accuracy>): Higher is better; unit: PERCENT.

- [BoolQ Accuracy](<https://www.sota2.com/research/sota/nlu-and-question-answering-on-superglue.md?metric=BoolQ%20Accuracy>): Higher is better; unit: PERCENT.

- [WSC Accuracy](<https://www.sota2.com/research/sota/nlu-and-question-answering-on-superglue.md?metric=WSC%20Accuracy>): Higher is better; unit: PERCENT.

- [WIC Accuracy](<https://www.sota2.com/research/sota/nlu-and-question-answering-on-superglue.md?metric=WIC%20Accuracy>): Higher is better; unit: PERCENT.

- [SQuAD Accuracy](<https://www.sota2.com/research/sota/nlu-and-question-answering-on-superglue.md?metric=SQuAD%20Accuracy>): Higher is better; unit: PERCENT.

- [DROP Accuracy](<https://www.sota2.com/research/sota/nlu-and-question-answering-on-superglue.md?metric=DROP%20Accuracy>): Higher is better; unit: PERCENT.

- [Average Accuracy](<https://www.sota2.com/research/sota/nlu-and-question-answering-on-superglue.md?metric=Average%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | SST-2 Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| LoRA | 94.7 | Not recorded | 69c21aa70636e5bf4afc4a8a |
| DiZO | 94.4 | Not recorded | 69c21aa70636e5bf4afc4a8a |
| CurvZO | 94.1 | Not recorded | 69c21aa70636e5bf4afc4a8a |
| FT | 93.8 | Not recorded | 69c21aa70636e5bf4afc4a8a |
| CurvZO + LoRA | 93.6 | Not recorded | 69c21aa70636e5bf4afc4a8a |
| MeZO + LoRA | 93 | Not recorded | 69c21aa70636e5bf4afc4a8a |
| MeZO | 92.1 | Not recorded | 69c21aa70636e5bf4afc4a8a |
| DiZO + LoRA | 92 | Not recorded | 69c21aa70636e5bf4afc4a8a |
| Zero-shot | 56.3 | Not recorded | 69c21aa70636e5bf4afc4a8a |

### LoRA

SST-2 Accuracy: 94.7. Result ID: 69c2b6d947f34ce924ac0a2a.

[Reporting paper](<https://www.sota2.com/research/paper/69c21aa70636e5bf4afc4a8a.md>)

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

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

Recorded evaluation configuration: {"Model":"OPT-2.7B","Number of training samples":"1,000","Evaluation protocol":"LoRA"}. This record does not assert independent reproduction.

### DiZO

SST-2 Accuracy: 94.4. Result ID: 69c2b6d947f34ce924ac0a2c.

[Reporting paper](<https://www.sota2.com/research/paper/69c21aa70636e5bf4afc4a8a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7c3d1e209131cea8d1c7.md>)

Recorded evaluation configuration: {"Model":"OPT-2.7B","Number of training samples":"1,000","Evaluation protocol":"Zeroth-Order (ZO)"}. This record does not assert independent reproduction.

### CurvZO

SST-2 Accuracy: 94.1. Result ID: 69c2b6d947f34ce924ac0a2d.

[Reporting paper](<https://www.sota2.com/research/paper/69c21aa70636e5bf4afc4a8a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69c21aa70636e5bf4afc4a8a.md>)

Recorded evaluation configuration: {"Model":"OPT-2.7B","Number of training samples":"1,000","Evaluation protocol":"Zeroth-Order (ZO)"}. This record does not assert independent reproduction.

### FT

SST-2 Accuracy: 93.8. Result ID: 69c2b6d947f34ce924ac0a29.

[Reporting paper](<https://www.sota2.com/research/paper/69c21aa70636e5bf4afc4a8a.md>)

Recorded evaluation configuration: {"Model":"OPT-2.7B","Number of training samples":"1,000","Evaluation protocol":"Full Fine-Tuning"}. This record does not assert independent reproduction.

### CurvZO + LoRA

SST-2 Accuracy: 93.6. Result ID: 69c2b6d947f34ce924ac0a30.

[Reporting paper](<https://www.sota2.com/research/paper/69c21aa70636e5bf4afc4a8a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69c21aa70636e5bf4afc4a8a.md>)

Recorded evaluation configuration: {"Model":"OPT-2.7B","Number of training samples":"1,000","Evaluation protocol":"ZO + PEFT"}. This record does not assert independent reproduction.

### MeZO + LoRA

SST-2 Accuracy: 93. Result ID: 69c2b6d947f34ce924ac0a2e.

[Reporting paper](<https://www.sota2.com/research/paper/69c21aa70636e5bf4afc4a8a.md>)

Recorded evaluation configuration: {"Model":"OPT-2.7B","Number of training samples":"1,000","Evaluation protocol":"ZO + PEFT"}. This record does not assert independent reproduction.

### MeZO

SST-2 Accuracy: 92.1. Result ID: 69c2b6d947f34ce924ac0a2b.

[Reporting paper](<https://www.sota2.com/research/paper/69c21aa70636e5bf4afc4a8a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71d41e209131cea5338c.md>)

Recorded evaluation configuration: {"Model":"OPT-2.7B","Number of training samples":"1,000","Evaluation protocol":"Zeroth-Order (ZO)"}. This record does not assert independent reproduction.

### DiZO + LoRA

SST-2 Accuracy: 92. Result ID: 69c2b6d947f34ce924ac0a2f.

[Reporting paper](<https://www.sota2.com/research/paper/69c21aa70636e5bf4afc4a8a.md>)

Recorded evaluation configuration: {"Model":"OPT-2.7B","Number of training samples":"1,000","Evaluation protocol":"ZO + PEFT"}. This record does not assert independent reproduction.

### Zero-shot

SST-2 Accuracy: 56.3. Result ID: 69c2b6d947f34ce924ac0a28.

[Reporting paper](<https://www.sota2.com/research/paper/69c21aa70636e5bf4afc4a8a.md>)

Recorded evaluation configuration: {"Model":"OPT-2.7B","Number of training samples":"1,000","Evaluation protocol":"Zero-shot"}. This record does not assert independent reproduction.

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