# Natural Language Understanding on MRPC, QQP, STS-B, MNLI, QNLI, RTE, SNLI, Sci, SICK, and Twi

Source: [Natural Language Understanding on MRPC, QQP, STS-B, MNLI, QNLI, RTE, SNLI, Sci, SICK, and Twi](<https://www.sota2.com/research/sota/natural-language-understanding-on-mrpc-qqp-sts-b-mnli-qnli-rte-snli-sci-sick-and-twi>)

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

Data updated: 2026-06-05T07:36:41.804Z

Aggregate evaluation of model performance across eleven specific Natural Language Understanding tasks: MRPC, QQP, STS-B, MNLI (m/mm), QNLI, RTE, SNLI, Sci, SICK, and Twi.

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) | Ten Benchmark Datasets MRPC, QQP, STS-B, MNLI, QNLI, RTE, SNLI, Sci, SICK, Twi |
| Metric | MRPC Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 18 of 18 |
| 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

- [MRPC Accuracy](<https://www.sota2.com/research/sota/natural-language-understanding-on-mrpc-qqp-sts-b-mnli-qnli-rte-snli-sci-sick-and-twi.md?metric=MRPC%20Accuracy>): Higher is better; unit: PERCENT.

- [QQP Accuracy](<https://www.sota2.com/research/sota/natural-language-understanding-on-mrpc-qqp-sts-b-mnli-qnli-rte-snli-sci-sick-and-twi.md?metric=QQP%20Accuracy>): Higher is better; unit: PERCENT.

- [STS-B Score](<https://www.sota2.com/research/sota/natural-language-understanding-on-mrpc-qqp-sts-b-mnli-qnli-rte-snli-sci-sick-and-twi.md?metric=STS-B%20Score>): Higher is better; unit: PERCENT.

- [MNLI (matched) Accuracy](<https://www.sota2.com/research/sota/natural-language-understanding-on-mrpc-qqp-sts-b-mnli-qnli-rte-snli-sci-sick-and-twi.md?metric=MNLI%20(matched)%20Accuracy>): Higher is better; unit: PERCENT.

- [MNLI (mismatched) Accuracy](<https://www.sota2.com/research/sota/natural-language-understanding-on-mrpc-qqp-sts-b-mnli-qnli-rte-snli-sci-sick-and-twi.md?metric=MNLI%20(mismatched)%20Accuracy>): Higher is better; unit: PERCENT.

- [QNLI Accuracy](<https://www.sota2.com/research/sota/natural-language-understanding-on-mrpc-qqp-sts-b-mnli-qnli-rte-snli-sci-sick-and-twi.md?metric=QNLI%20Accuracy>): Higher is better; unit: PERCENT.

- [RTE Accuracy](<https://www.sota2.com/research/sota/natural-language-understanding-on-mrpc-qqp-sts-b-mnli-qnli-rte-snli-sci-sick-and-twi.md?metric=RTE%20Accuracy>): Higher is better; unit: PERCENT.

- [SNLI Accuracy](<https://www.sota2.com/research/sota/natural-language-understanding-on-mrpc-qqp-sts-b-mnli-qnli-rte-snli-sci-sick-and-twi.md?metric=SNLI%20Accuracy>): Higher is better; unit: PERCENT.

- [Sci Accuracy](<https://www.sota2.com/research/sota/natural-language-understanding-on-mrpc-qqp-sts-b-mnli-qnli-rte-snli-sci-sick-and-twi.md?metric=Sci%20Accuracy>): Higher is better; unit: PERCENT.

- [SICK Accuracy](<https://www.sota2.com/research/sota/natural-language-understanding-on-mrpc-qqp-sts-b-mnli-qnli-rte-snli-sci-sick-and-twi.md?metric=SICK%20Accuracy>): Higher is better; unit: PERCENT.

- [Twi Accuracy](<https://www.sota2.com/research/sota/natural-language-understanding-on-mrpc-qqp-sts-b-mnli-qnli-rte-snli-sci-sick-and-twi.md?metric=Twi%20Accuracy>): Higher is better; unit: PERCENT.

- [Average NLU Accuracy](<https://www.sota2.com/research/sota/natural-language-understanding-on-mrpc-qqp-sts-b-mnli-qnli-rte-snli-sci-sick-and-twi.md?metric=Average%20NLU%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | MRPC Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| RoBERTa-Large-MGRN | 90.2 | Not recorded | 6a22584686173ad9c146882a |
| BERT-Large-MGRN | 89.9 | Not recorded | 6a22584686173ad9c146882a |
| RoBERTa-Base-MGRN | 89.5 | Not recorded | 6a22584686173ad9c146882a |
| RoBERTa-Large | 89.4 | Not recorded | 6a22584686173ad9c146882a |
| BERT-Base-MGRN | 89.3 | Not recorded | 6a22584686173ad9c146882a |
| RoBERTa-Base | 89.3 | Not recorded | 6a22584686173ad9c146882a |
| SyntaxBERT | 89.2 | Not recorded | 6a22584686173ad9c146882a |
| MGRN | 89.1 | Not recorded | 6a22584686173ad9c146882a |
| BERT-Large | 88.9 | Not recorded | 6a22584686173ad9c146882a |
| UERBERT | 88.3 | Not recorded | 6a22584686173ad9c146882a |
| SemBERT | 88.2 | Not recorded | 6a22584686173ad9c146882a |
| BERT-Base | 87.2 | Not recorded | 6a22584686173ad9c146882a |
| BiLSTM+ELMo+Attnt | 84.6 | Not recorded | 6a22584686173ad9c146882a |
| CAFE | 82.4 | Not recorded | 6a22584686173ad9c146882a |
| OpenAI GPT | 82.3 | Not recorded | 6a22584686173ad9c146882a |
| Transformer | 81.7 | Not recorded | 6a22584686173ad9c146882a |
| ESIM | 80.3 | Not recorded | 6a22584686173ad9c146882a |
| BiMPM | 79.6 | Not recorded | 6a22584686173ad9c146882a |

### RoBERTa-Large-MGRN

MRPC Accuracy: 90.2. Result ID: 6a227c6ffbc373592c20214e.

[Reporting paper](<https://www.sota2.com/research/paper/6a22584686173ad9c146882a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a22584686173ad9c146882a.md>)

Recorded evaluation configuration: {"Pre-train":"true"}. This record does not assert independent reproduction.

### BERT-Large-MGRN

MRPC Accuracy: 89.9. Result ID: 6a227c6ffbc373592c20214a.

[Reporting paper](<https://www.sota2.com/research/paper/6a22584686173ad9c146882a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a22584686173ad9c146882a.md>)

Recorded evaluation configuration: {"Pre-train":"true"}. This record does not assert independent reproduction.

### RoBERTa-Base-MGRN

MRPC Accuracy: 89.5. Result ID: 6a227c6ffbc373592c20214c.

[Reporting paper](<https://www.sota2.com/research/paper/6a22584686173ad9c146882a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a22584686173ad9c146882a.md>)

Recorded evaluation configuration: {"Pre-train":"true"}. This record does not assert independent reproduction.

### RoBERTa-Large

MRPC Accuracy: 89.4. Result ID: 6a227c6ffbc373592c20214d.

[Reporting paper](<https://www.sota2.com/research/paper/6a22584686173ad9c146882a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66131e209131cea0e18b.md>)

[Implementation](<https://github.com/pytorch/fairseq>)

Recorded evaluation configuration: {"Pre-train":"true"}. This record does not assert independent reproduction.

### BERT-Base-MGRN

MRPC Accuracy: 89.3. Result ID: 6a227c6ffbc373592c202148.

[Reporting paper](<https://www.sota2.com/research/paper/6a22584686173ad9c146882a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a22584686173ad9c146882a.md>)

Recorded evaluation configuration: {"Pre-train":"true"}. This record does not assert independent reproduction.

### RoBERTa-Base

MRPC Accuracy: 89.3. Result ID: 6a227c6ffbc373592c20214b.

[Reporting paper](<https://www.sota2.com/research/paper/6a22584686173ad9c146882a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66131e209131cea0e18b.md>)

[Implementation](<https://github.com/pytorch/fairseq>)

Recorded evaluation configuration: {"Pre-train":"true"}. This record does not assert independent reproduction.

### SyntaxBERT

MRPC Accuracy: 89.2. Result ID: 6a227c6ffbc373592c202145.

[Reporting paper](<https://www.sota2.com/research/paper/6a22584686173ad9c146882a.md>)

Recorded evaluation configuration: {"Pre-train":"true"}. This record does not assert independent reproduction.

### MGRN

MRPC Accuracy: 89.1. Result ID: 6a227c6ffbc373592c202146.

[Reporting paper](<https://www.sota2.com/research/paper/6a22584686173ad9c146882a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a22584686173ad9c146882a.md>)

Recorded evaluation configuration: {"Pre-train":"true"}. This record does not assert independent reproduction.

### BERT-Large

MRPC Accuracy: 88.9. Result ID: 6a227c6ffbc373592c202149.

[Reporting paper](<https://www.sota2.com/research/paper/6a22584686173ad9c146882a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65c31e209131cea0c4ed.md>)

[Implementation](<https://github.com/google-research/bert>)

Recorded evaluation configuration: {"Pre-train":"true"}. This record does not assert independent reproduction.

### UERBERT

MRPC Accuracy: 88.3. Result ID: 6a227c6ffbc373592c202143.

[Reporting paper](<https://www.sota2.com/research/paper/6a22584686173ad9c146882a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa695a1e209131cea21bf9.md>)

Recorded evaluation configuration: {"Pre-train":"true"}. This record does not assert independent reproduction.

### SemBERT

MRPC Accuracy: 88.2. Result ID: 6a227c6ffbc373592c202144.

[Reporting paper](<https://www.sota2.com/research/paper/6a22584686173ad9c146882a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66fc1e209131cea13758.md>)

[Implementation](<https://github.com/cooelf/SemBERT>)

Recorded evaluation configuration: {"Pre-train":"true"}. This record does not assert independent reproduction.

### BERT-Base

MRPC Accuracy: 87.2. Result ID: 6a227c6ffbc373592c202147.

[Reporting paper](<https://www.sota2.com/research/paper/6a22584686173ad9c146882a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65c31e209131cea0c4ed.md>)

[Implementation](<https://github.com/google-research/bert>)

Recorded evaluation configuration: {"Pre-train":"true"}. This record does not assert independent reproduction.

### BiLSTM+ELMo+Attnt

MRPC Accuracy: 84.6. Result ID: 6a227c6ffbc373592c202141.

[Reporting paper](<https://www.sota2.com/research/paper/6a22584686173ad9c146882a.md>)

Recorded evaluation configuration: {"Pre-train":"true"}. This record does not assert independent reproduction.

### CAFE

MRPC Accuracy: 82.4. Result ID: 6a227c6ffbc373592c20213e.

[Reporting paper](<https://www.sota2.com/research/paper/6a22584686173ad9c146882a.md>)

Recorded evaluation configuration: {"Pre-train":"false"}. This record does not assert independent reproduction.

### OpenAI GPT

MRPC Accuracy: 82.3. Result ID: 6a227c6ffbc373592c202142.

[Reporting paper](<https://www.sota2.com/research/paper/6a22584686173ad9c146882a.md>)

Recorded evaluation configuration: {"Pre-train":"true"}. This record does not assert independent reproduction.

### Transformer

MRPC Accuracy: 81.7. Result ID: 6a227c6ffbc373592c202140.

[Reporting paper](<https://www.sota2.com/research/paper/6a22584686173ad9c146882a.md>)

Recorded evaluation configuration: {"Pre-train":"false"}. This record does not assert independent reproduction.

### ESIM

MRPC Accuracy: 80.3. Result ID: 6a227c6ffbc373592c20213f.

[Reporting paper](<https://www.sota2.com/research/paper/6a22584686173ad9c146882a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67231e209131cea1499e.md>)

[Implementation](<https://github.com/lukecq1231/nli>)

Recorded evaluation configuration: {"Pre-train":"false"}. This record does not assert independent reproduction.

### BiMPM

MRPC Accuracy: 79.6. Result ID: 6a227c6ffbc373592c20213d.

[Reporting paper](<https://www.sota2.com/research/paper/6a22584686173ad9c146882a.md>)

Recorded evaluation configuration: {"Pre-train":"false"}. This record does not assert independent reproduction.

Page 1 of 1. This is an index page, not the full collection.
