# Table-to-Text Generation on MLB

Source: [Table-to-Text Generation on MLB](<https://www.sota2.com/research/sota/table-to-text-generation-on-mlb>)

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

Data updated: 2026-04-30T07:32:39.818Z

Evaluation of Table-to-Text Generation performance on the MLB dataset, assessed using RG, CS, and CO DLD metrics.

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-to-Text Generation |
| Dataset (including any stated split) | MLB |
| Metric | ROUGE Score |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 7 of 7 |
| 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

- [ROUGE Score](<https://www.sota2.com/research/sota/table-to-text-generation-on-mlb.md?metric=ROUGE%20Score>): Higher is better; unit: PERCENT.

- [ROUGE Precision](<https://www.sota2.com/research/sota/table-to-text-generation-on-mlb.md?metric=ROUGE%20Precision>): Higher is better; unit: PERCENT.

- [CS Precision](<https://www.sota2.com/research/sota/table-to-text-generation-on-mlb.md?metric=CS%20Precision>): Higher is better; unit: PERCENT.

- [CS Recall](<https://www.sota2.com/research/sota/table-to-text-generation-on-mlb.md?metric=CS%20Recall>): Higher is better; unit: PERCENT.

- [CS F1 Score](<https://www.sota2.com/research/sota/table-to-text-generation-on-mlb.md?metric=CS%20F1%20Score>): Higher is better; unit: PERCENT.

- [CO DLD Score](<https://www.sota2.com/research/sota/table-to-text-generation-on-mlb.md?metric=CO%20DLD%20Score>): Higher is better; unit: PERCENT.

## Recorded results

| Method | ROUGE Score | Result date | Report paper |
| --- | --- | --- | --- |
| Chain-of-Thought | 84.67 | Not recorded | 69f2e23355a3c32af89fc7dd |
| Few-shot | 84.54 | Not recorded | 69f2e23355a3c32af89fc7dd |
| Zero-shot | 84.21 | Not recorded | 69f2e23355a3c32af89fc7dd |
| One-shot | 82.8 | Not recorded | 69f2e23355a3c32af89fc7dd |
| Chain-of-Table | 80.99 | Not recorded | 69f2e23355a3c32af89fc7dd |
| Tree-of-Thought | 80.38 | Not recorded | 69f2e23355a3c32af89fc7dd |
| Tree-of-Text | 80.11 | Not recorded | 69f2e23355a3c32af89fc7dd |

### Chain-of-Thought

ROUGE Score: 84.67. Result ID: 69f3056c47f34ce924d91de7.

[Reporting paper](<https://www.sota2.com/research/paper/69f2e23355a3c32af89fc7dd.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e571e209131cea3f27b.md>)

Recorded evaluation configuration: {"Time":"9.34","Cost":"1.73"}. This record does not assert independent reproduction.

### Few-shot

ROUGE Score: 84.54. Result ID: 69f3056c47f34ce924d91de6.

[Reporting paper](<https://www.sota2.com/research/paper/69f2e23355a3c32af89fc7dd.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: {"Time":"8.47","Cost":"4.85"}. This record does not assert independent reproduction.

### Zero-shot

ROUGE Score: 84.21. Result ID: 69f3056c47f34ce924d91de4.

[Reporting paper](<https://www.sota2.com/research/paper/69f2e23355a3c32af89fc7dd.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: {"Time":"12.13","Cost":"1.46"}. This record does not assert independent reproduction.

### One-shot

ROUGE Score: 82.8. Result ID: 69f3056c47f34ce924d91de5.

[Reporting paper](<https://www.sota2.com/research/paper/69f2e23355a3c32af89fc7dd.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: {"Time":"9.98","Cost":"3.05"}. This record does not assert independent reproduction.

### Chain-of-Table

ROUGE Score: 80.99. Result ID: 69f3056c47f34ce924d91de9.

[Reporting paper](<https://www.sota2.com/research/paper/69f2e23355a3c32af89fc7dd.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71d71e209131cea534db.md>)

Recorded evaluation configuration: {"Time":"55.60","Cost":"10.80"}. This record does not assert independent reproduction.

### Tree-of-Thought

ROUGE Score: 80.38. Result ID: 69f3056c47f34ce924d91de8.

[Reporting paper](<https://www.sota2.com/research/paper/69f2e23355a3c32af89fc7dd.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71551e209131cea50930.md>)

[Implementation](<https://github.com/princeton-nlp/tree-of-thought-llm>)

Recorded evaluation configuration: {"Time":"47.63","Cost":"7.25"}. This record does not assert independent reproduction.

### Tree-of-Text

ROUGE Score: 80.11. Result ID: 69f3056c47f34ce924d91dea.

[Reporting paper](<https://www.sota2.com/research/paper/69f2e23355a3c32af89fc7dd.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69f2e23355a3c32af89fc7dd.md>)

Recorded evaluation configuration: {"Time":"29.18","Cost":"6.77"}. This record does not assert independent reproduction.

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