# Natural Language Understanding on GLUE (test) (Subset: MNLI, SST-2, CoLA, QNLI, MRPC)

Source: [Natural Language Understanding on GLUE (test) (Subset: MNLI, SST-2, CoLA, QNLI, MRPC)](<https://www.sota2.com/research/sota/natural-language-understanding-on-glue-test-subset-mnli-sst-2-cola-qnli-mrpc>)

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

Data updated: 2026-04-01T08:45:59.815Z

Evaluation of general language understanding capabilities on a specific subset of the GLUE test set tasks, reporting scores for MNLI, SST-2, CoLA, QNLI, and MRPC.

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 | Natural Language Understanding |
| Dataset (including any stated split) | GLUE (test) |
| Metric | MNLI Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 6 of 6 |
| 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

- [MNLI Accuracy](<https://www.sota2.com/research/sota/natural-language-understanding-on-glue-test-subset-mnli-sst-2-cola-qnli-mrpc.md?metric=MNLI%20Accuracy>): Higher is better; unit: PERCENT.

- [SST-2 Accuracy](<https://www.sota2.com/research/sota/natural-language-understanding-on-glue-test-subset-mnli-sst-2-cola-qnli-mrpc.md?metric=SST-2%20Accuracy>): Higher is better; unit: PERCENT.

- [CoLA Accuracy](<https://www.sota2.com/research/sota/natural-language-understanding-on-glue-test-subset-mnli-sst-2-cola-qnli-mrpc.md?metric=CoLA%20Accuracy>): Higher is better; unit: PERCENT.

- [QNLI Accuracy](<https://www.sota2.com/research/sota/natural-language-understanding-on-glue-test-subset-mnli-sst-2-cola-qnli-mrpc.md?metric=QNLI%20Accuracy>): Higher is better; unit: PERCENT.

- [MRPC Accuracy](<https://www.sota2.com/research/sota/natural-language-understanding-on-glue-test-subset-mnli-sst-2-cola-qnli-mrpc.md?metric=MRPC%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | MNLI Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Full | 86.89 | Not recorded | 69cca6a20636e5bf4afcbc50 |
| rsLoRA | 85.54 | Not recorded | 69cca6a20636e5bf4afcbc50 |
| CG-LoRA (no shift) | 85.51 | Not recorded | 69cca6a20636e5bf4afcbc50 |
| CG-LoRA (shift) | 85.35 | Not recorded | 69cca6a20636e5bf4afcbc50 |
| LoRA-One | 85.03 | Not recorded | 69cca6a20636e5bf4afcbc50 |
| LoRA-GA | 83.02 | Not recorded | 69cca6a20636e5bf4afcbc50 |

### Full

MNLI Accuracy: 86.89. Result ID: 69ccdb3447f34ce924b6a103.

[Reporting paper](<https://www.sota2.com/research/paper/69cca6a20636e5bf4afcbc50.md>)

Recorded evaluation configuration: {"Backbone":"RoBERTa-base","Evaluation Protocol":"finetuned"}. This record does not assert independent reproduction.

### rsLoRA

MNLI Accuracy: 85.54. Result ID: 69ccdb3447f34ce924b6a104.

[Reporting paper](<https://www.sota2.com/research/paper/69cca6a20636e5bf4afcbc50.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71641e209131cea51208.md>)

Recorded evaluation configuration: {"Backbone":"RoBERTa-base","Evaluation Protocol":"finetuned","LoRA Rank":"8"}. This record does not assert independent reproduction.

### CG-LoRA (no shift)

MNLI Accuracy: 85.51. Result ID: 69ccdb3447f34ce924b6a107.

[Reporting paper](<https://www.sota2.com/research/paper/69cca6a20636e5bf4afcbc50.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69cca6a20636e5bf4afcbc50.md>)

Recorded evaluation configuration: {"Backbone":"RoBERTa-base","Evaluation Protocol":"finetuned","LoRA Rank":"8","Initialization":"shifted from W0 + ηB0A0"}. This record does not assert independent reproduction.

### CG-LoRA (shift)

MNLI Accuracy: 85.35. Result ID: 69ccdb3447f34ce924b6a108.

[Reporting paper](<https://www.sota2.com/research/paper/69cca6a20636e5bf4afcbc50.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69cca6a20636e5bf4afcbc50.md>)

Recorded evaluation configuration: {"Backbone":"RoBERTa-base","Evaluation Protocol":"finetuned","LoRA Rank":"8","Initialization":"starting from W0"}. This record does not assert independent reproduction.

### LoRA-One

MNLI Accuracy: 85.03. Result ID: 69ccdb3447f34ce924b6a106.

[Reporting paper](<https://www.sota2.com/research/paper/69cca6a20636e5bf4afcbc50.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa79941e209131cea7e64d.md>)

Recorded evaluation configuration: {"Backbone":"RoBERTa-base","Evaluation Protocol":"finetuned","LoRA Rank":"8"}. This record does not assert independent reproduction.

### LoRA-GA

MNLI Accuracy: 83.02. Result ID: 69ccdb3447f34ce924b6a105.

[Reporting paper](<https://www.sota2.com/research/paper/69cca6a20636e5bf4afcbc50.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa742a1e209131cea6025e.md>)

[Implementation](<https://www.sota2.com/github>)

Recorded evaluation configuration: {"Backbone":"RoBERTa-base","Evaluation Protocol":"finetuned","LoRA Rank":"8"}. This record does not assert independent reproduction.

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