# Parts mental model prediction on ParRoT

Source: [Parts mental model prediction on ParRoT](<https://www.sota2.com/research/sota/parts-mental-model-prediction-on-parrot>)

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

Data updated: 2026-02-26T05:29:00.989Z

Evaluation of model performance on predicting parts mental models using the ParRoT dataset, typically measured using accuracy.

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 | Parts mental model prediction |
| Dataset (including any stated split) | ParRoT |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 4 of 4 |
| 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](<https://www.sota2.com/research/sota/parts-mental-model-prediction-on-parrot.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [Improvement](<https://www.sota2.com/research/sota/parts-mental-model-prediction-on-parrot.md?metric=Improvement>): Higher is better; unit: SCALAR.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| ParRoT-Con (Macaw-11B) | 0.7928 | Not recorded | 68fa6fbc1e209131cea471b4 |
| ParRoT-Con (GPT-3) | 0.7026 | Not recorded | 68fa6fbc1e209131cea471b4 |
| Macaw-11B | 0.5945 | Not recorded | 68fa6fbc1e209131cea471b4 |
| GPT-3 (text-davinci-003) | 0.5383 | Not recorded | 68fa6fbc1e209131cea471b4 |

### ParRoT-Con (Macaw-11B)

Accuracy: 0.7928. Result ID: 6990fc9a3a6c31484904cf7d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fbc1e209131cea471b4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6fbc1e209131cea471b4.md>)

[Implementation](<https://github.com/allenai/everyday-things>)

Recorded evaluation configuration: {"# params":"11B","Constraint reasoning":"Yes"}. This record does not assert independent reproduction.

### ParRoT-Con (GPT-3)

Accuracy: 0.7026. Result ID: 6990fc9a3a6c31484904cf7b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fbc1e209131cea471b4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6fbc1e209131cea471b4.md>)

[Implementation](<https://github.com/allenai/everyday-things>)

Recorded evaluation configuration: {"# params":"175B","Constraint reasoning":"Yes"}. This record does not assert independent reproduction.

### Macaw-11B

Accuracy: 0.5945. Result ID: 6990fc9a3a6c31484904cf7c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fbc1e209131cea471b4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ab91e209131cea2a13d.md>)

Recorded evaluation configuration: {"# params":"11B","Constraint reasoning":"No"}. This record does not assert independent reproduction.

### GPT-3 (text-davinci-003)

Accuracy: 0.5383. Result ID: 6990fc9a3a6c31484904cf7a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fbc1e209131cea471b4.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: {"# params":"175B","Constraint reasoning":"No"}. This record does not assert independent reproduction.

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