# Table Question Answering on ROBUT-WTQ Column Extension (test)

Source: [Table Question Answering on ROBUT-WTQ Column Extension (test)](<https://www.sota2.com/research/sota/table-question-answering-on-robut-wtq-column-extension-test>)

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

Data updated: 2026-02-26T05:34:23.952Z

Evaluation of model performance on the test split of the ROBUT-WTQ dataset, specifically testing robustness against column extension 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 Column Extension (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-column-extension-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-column-extension-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-column-extension-test.md?metric=Robustness%20Accuracy%20(R-ACC)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy (Pre-perturbation) | Result date | Report paper |
| --- | --- | --- | --- |
| TAPEX | 92 | Not recorded | 68fa6fdc1e209131cea47b48 |
| OmniTab | 91.2 | Not recorded | 68fa6fdc1e209131cea47b48 |
| TAPAS | 89.8 | Not recorded | 68fa6fdc1e209131cea47b48 |
| TableFormer | 86 | Not recorded | 68fa6fdc1e209131cea47b48 |
| GPT-3 | 80.2 | Not recorded | 68fa6fdc1e209131cea47b48 |
| OmniTab | 63.7 | Not recorded | 68fa6fdc1e209131cea47b48 |
| TAPEX | 61.2 | Not recorded | 68fa6fdc1e209131cea47b48 |
| TableFormer | 52.5 | Not recorded | 68fa6fdc1e209131cea47b48 |
| TAPAS | 50.9 | Not recorded | 68fa6fdc1e209131cea47b48 |
| GPT-3 | 47.9 | Not recorded | 68fa6fdc1e209131cea47b48 |

### TAPEX

Accuracy (Pre-perturbation): 92. Result ID: 6990ef833a6c314849046827.

[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): 91.2. Result ID: 6990ef833a6c314849046828.

[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.

### TAPAS

Accuracy (Pre-perturbation): 89.8. Result ID: 6990ef833a6c314849046825.

[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.

### TableFormer

Accuracy (Pre-perturbation): 86. Result ID: 6990ef833a6c314849046826.

[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.

### GPT-3

Accuracy (Pre-perturbation): 80.2. Result ID: 6990ef833a6c314849046829.

[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): 63.7. Result ID: 6990ef833a6c3148490467f1.

[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): 61.2. Result ID: 6990ef833a6c3148490467f0.

[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): 52.5. Result ID: 6990ef833a6c3148490467ef.

[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): 50.9. Result ID: 6990ef833a6c3148490467ee.

[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): 47.9. Result ID: 6990ef833a6c3148490467f2.

[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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