# Table Question Answering on ROBUT-WTQ Row Order Shuffling (test)

Source: [Table Question Answering on ROBUT-WTQ Row Order Shuffling (test)](<https://www.sota2.com/research/sota/table-question-answering-on-robut-wtq-row-order-shuffling-test>)

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

Data updated: 2026-02-26T05:34:23.922Z

Evaluation of model performance on the test split of the ROBUT-WTQ dataset, specifically testing robustness against row order shuffling perturbations for Table Question Answering.

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 | Table Question Answering |
| Dataset (including any stated split) | ROBUT-WTQ Row Order Shuffling (test) |
| Metric | Accuracy (Pre-perturbation) |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 10 of 10 |
| 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 (Pre-perturbation)](<https://www.sota2.com/research/sota/table-question-answering-on-robut-wtq-row-order-shuffling-test.md?metric=Accuracy%20(Pre-perturbation)>): Higher is better; unit: PERCENT.

- [Accuracy (Post-perturbation)](<https://www.sota2.com/research/sota/table-question-answering-on-robut-wtq-row-order-shuffling-test.md?metric=Accuracy%20(Post-perturbation)>): Higher is better; unit: PERCENT.

- [Robustness Accuracy (R-ACC)](<https://www.sota2.com/research/sota/table-question-answering-on-robut-wtq-row-order-shuffling-test.md?metric=Robustness%20Accuracy%20(R-ACC)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy (Pre-perturbation) | Result date | Report paper |
| --- | --- | --- | --- |
| TAPEX | 88.5 | Not recorded | 68fa6fdc1e209131cea47b48 |
| OmniTab | 87.6 | Not recorded | 68fa6fdc1e209131cea47b48 |
| TableFormer | 85.7 | Not recorded | 68fa6fdc1e209131cea47b48 |
| TAPAS | 84.8 | Not recorded | 68fa6fdc1e209131cea47b48 |
| GPT-3 | 78.2 | Not recorded | 68fa6fdc1e209131cea47b48 |
| OmniTab | 60.6 | Not recorded | 68fa6fdc1e209131cea47b48 |
| TAPEX | 56.9 | Not recorded | 68fa6fdc1e209131cea47b48 |
| TableFormer | 51 | Not recorded | 68fa6fdc1e209131cea47b48 |
| TAPAS | 48 | Not recorded | 68fa6fdc1e209131cea47b48 |
| GPT-3 | 42.9 | Not recorded | 68fa6fdc1e209131cea47b48 |

### TAPEX

Accuracy (Pre-perturbation): 88.5. Result ID: 6990ef833a6c31484904681d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fdc1e209131cea47b48.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6bfe1e209131cea31836.md>)

[Implementation](<https://github.com/microsoft/Table-Pretraining>)

Recorded evaluation configuration: {"Evaluation Protocol":"Fine-tuned"}. This record does not assert independent reproduction.

### OmniTab

Accuracy (Pre-perturbation): 87.6. Result ID: 6990ef833a6c31484904681e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fdc1e209131cea47b48.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6cf31e209131cea36c12.md>)

[Implementation](<https://github.com/jzbjyb/OmniTab>)

Recorded evaluation configuration: {"Evaluation Protocol":"Fine-tuned"}. This record does not assert independent reproduction.

### TableFormer

Accuracy (Pre-perturbation): 85.7. Result ID: 6990ef833a6c31484904681c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fdc1e209131cea47b48.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c7d1e209131cea3443e.md>)

[Implementation](<https://github.com/google-research/tapas/blob/master/TABLEFORMER.md>)

Recorded evaluation configuration: {"Evaluation Protocol":"Fine-tuned"}. This record does not assert independent reproduction.

### TAPAS

Accuracy (Pre-perturbation): 84.8. Result ID: 6990ef833a6c31484904681b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fdc1e209131cea47b48.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c521e209131cea333e0.md>)

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

Recorded evaluation configuration: {"Evaluation Protocol":"Fine-tuned"}. This record does not assert independent reproduction.

### GPT-3

Accuracy (Pre-perturbation): 78.2. Result ID: 6990ef833a6c31484904681f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fdc1e209131cea47b48.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa680c1e209131cea19d53.md>)

[Implementation](<https://github.com/openai/gpt-3/blob/master/overlap_frequency.md>)

Recorded evaluation configuration: {"Evaluation Protocol":"Few-shot","Sample Size":"200"}. This record does not assert independent reproduction.

### OmniTab

Accuracy (Pre-perturbation): 60.6. Result ID: 6990ef833a6c3148490467e7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fdc1e209131cea47b48.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6cf31e209131cea36c12.md>)

[Implementation](<https://github.com/jzbjyb/OmniTab>)

Recorded evaluation configuration: {"Evaluation Protocol":"Fine-tuned"}. This record does not assert independent reproduction.

### TAPEX

Accuracy (Pre-perturbation): 56.9. Result ID: 6990ef833a6c3148490467e6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fdc1e209131cea47b48.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6bfe1e209131cea31836.md>)

[Implementation](<https://github.com/microsoft/Table-Pretraining>)

Recorded evaluation configuration: {"Evaluation Protocol":"Fine-tuned"}. This record does not assert independent reproduction.

### TableFormer

Accuracy (Pre-perturbation): 51. Result ID: 6990ef833a6c3148490467e5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fdc1e209131cea47b48.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c7d1e209131cea3443e.md>)

[Implementation](<https://github.com/google-research/tapas/blob/master/TABLEFORMER.md>)

Recorded evaluation configuration: {"Evaluation Protocol":"Fine-tuned"}. This record does not assert independent reproduction.

### TAPAS

Accuracy (Pre-perturbation): 48. Result ID: 6990ef833a6c3148490467e4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fdc1e209131cea47b48.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c521e209131cea333e0.md>)

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

Recorded evaluation configuration: {"Evaluation Protocol":"Fine-tuned"}. This record does not assert independent reproduction.

### GPT-3

Accuracy (Pre-perturbation): 42.9. Result ID: 6990ef833a6c3148490467e8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fdc1e209131cea47b48.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa680c1e209131cea19d53.md>)

[Implementation](<https://github.com/openai/gpt-3/blob/master/overlap_frequency.md>)

Recorded evaluation configuration: {"Evaluation Protocol":"Few-shot"}. This record does not assert independent reproduction.

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