# Response Selection on MWOZ 2.1

Source: [Response Selection on MWOZ 2.1](<https://www.sota2.com/research/sota/response-selection-on-mwoz-2-1>)

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

Data updated: 2026-02-27T08:21:54.020Z

Evaluation of model performance in selecting the appropriate response given a dialogue context from the MWOZ 2.1 dataset, measured using 1-to-100 and 3-to-100 accuracy 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 | Response Selection |
| Dataset (including any stated split) | MWOZ 2.1 |
| Metric | Accuracy (1/100) |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 17 of 17 |
| 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 (1/100)](<https://www.sota2.com/research/sota/response-selection-on-mwoz-2-1.md?metric=Accuracy%20(1%2F100)>): Higher is better; unit: PERCENT.

- [Accuracy (3/100)](<https://www.sota2.com/research/sota/response-selection-on-mwoz-2-1.md?metric=Accuracy%20(3%2F100)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy (1/100) | Result date | Report paper |
| --- | --- | --- | --- |
| FutureTOD | 68.5 | Not recorded | 68fa6fcd1e209131cea47827 |
| TOD-BERT | 65.8 | Not recorded | 68fa6fcd1e209131cea47827 |
| SimCSE | 64.2 | Not recorded | 68fa6fcd1e209131cea47827 |
| DSE | 63.3 | Not recorded | 68fa6fcd1e209131cea47827 |
| FutureTOD | 50 | Not recorded | 68fa6fcd1e209131cea47827 |
| BERT-mlm | 48.1 | Not recorded | 68fa6fcd1e209131cea47827 |
| BERT | 47.5 | Not recorded | 68fa6fcd1e209131cea47827 |
| SimCSE | 37.2 | Not recorded | 68fa6fcd1e209131cea47827 |
| FutureTOD | 35.8 | Not recorded | 68fa6fcd1e209131cea47827 |
| DialoGPT | 35.7 | Not recorded | 68fa6fcd1e209131cea47827 |
| DSE | 24.8 | Not recorded | 68fa6fcd1e209131cea47827 |
| BERT-mlm | 22.3 | Not recorded | 68fa6fcd1e209131cea47827 |
| BERT | 20.9 | Not recorded | 68fa6fcd1e209131cea47827 |
| SimCSE | 17.2 | Not recorded | 68fa6fcd1e209131cea47827 |
| BERT-mlm | 13 | Not recorded | 68fa6fcd1e209131cea47827 |
| DSE | 7.9 | Not recorded | 68fa6fcd1e209131cea47827 |
| BERT | 7.8 | Not recorded | 68fa6fcd1e209131cea47827 |

### FutureTOD

Accuracy (1/100): 68.5. Result ID: 69a1540d35dfcabb00e64d23.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fcd1e209131cea47827.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6fcd1e209131cea47827.md>)

[Implementation](<https://github.com/Zeng-WH/FutureTOD>)

Recorded evaluation configuration: {"Training data setting":"Full Data"}. This record does not assert independent reproduction.

### TOD-BERT

Accuracy (1/100): 65.8. Result ID: 69a1540d35dfcabb00e64d21.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fcd1e209131cea47827.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa686d1e209131cea1c191.md>)

Recorded evaluation configuration: {"Training data setting":"Full Data"}. This record does not assert independent reproduction.

### SimCSE

Accuracy (1/100): 64.2. Result ID: 69a1540d35dfcabb00e64d20.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fcd1e209131cea47827.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c9c1e209131cea34e2c.md>)

[Implementation](<https://github.com/princeton-nlp/SimCSE>)

Recorded evaluation configuration: {"Training data setting":"Full Data"}. This record does not assert independent reproduction.

### DSE

Accuracy (1/100): 63.3. Result ID: 69a1540d35dfcabb00e64d22.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fcd1e209131cea47827.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d121e209131cea376d3.md>)

Recorded evaluation configuration: {"Training data setting":"Full Data"}. This record does not assert independent reproduction.

### FutureTOD

Accuracy (1/100): 50. Result ID: 69a1540d35dfcabb00e64d1c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fcd1e209131cea47827.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6fcd1e209131cea47827.md>)

[Implementation](<https://github.com/Zeng-WH/FutureTOD>)

Recorded evaluation configuration: {"Training data setting":"10% Data"}. This record does not assert independent reproduction.

### BERT-mlm

Accuracy (1/100): 48.1. Result ID: 69a1540d35dfcabb00e64d1f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fcd1e209131cea47827.md>)

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

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

Recorded evaluation configuration: {"Training data setting":"Full Data"}. This record does not assert independent reproduction.

### BERT

Accuracy (1/100): 47.5. Result ID: 69a1540d35dfcabb00e64d1d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fcd1e209131cea47827.md>)

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

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

Recorded evaluation configuration: {"Training data setting":"Full Data"}. This record does not assert independent reproduction.

### SimCSE

Accuracy (1/100): 37.2. Result ID: 69a1540d35dfcabb00e64d1a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fcd1e209131cea47827.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c9c1e209131cea34e2c.md>)

[Implementation](<https://github.com/princeton-nlp/SimCSE>)

Recorded evaluation configuration: {"Training data setting":"10% Data"}. This record does not assert independent reproduction.

### FutureTOD

Accuracy (1/100): 35.8. Result ID: 69a1540d35dfcabb00e64d17.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fcd1e209131cea47827.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6fcd1e209131cea47827.md>)

[Implementation](<https://github.com/Zeng-WH/FutureTOD>)

Recorded evaluation configuration: {"Training data setting":"1% Data"}. This record does not assert independent reproduction.

### DialoGPT

Accuracy (1/100): 35.7. Result ID: 69a1540d35dfcabb00e64d1e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fcd1e209131cea47827.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67771e209131cea16854.md>)

Recorded evaluation configuration: {"Training data setting":"Full Data"}. This record does not assert independent reproduction.

### DSE

Accuracy (1/100): 24.8. Result ID: 69a1540d35dfcabb00e64d1b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fcd1e209131cea47827.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d121e209131cea376d3.md>)

Recorded evaluation configuration: {"Training data setting":"10% Data"}. This record does not assert independent reproduction.

### BERT-mlm

Accuracy (1/100): 22.3. Result ID: 69a1540d35dfcabb00e64d19.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fcd1e209131cea47827.md>)

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

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

Recorded evaluation configuration: {"Training data setting":"10% Data"}. This record does not assert independent reproduction.

### BERT

Accuracy (1/100): 20.9. Result ID: 69a1540d35dfcabb00e64d18.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fcd1e209131cea47827.md>)

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

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

Recorded evaluation configuration: {"Training data setting":"10% Data"}. This record does not assert independent reproduction.

### SimCSE

Accuracy (1/100): 17.2. Result ID: 69a1540d35dfcabb00e64d15.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fcd1e209131cea47827.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c9c1e209131cea34e2c.md>)

[Implementation](<https://github.com/princeton-nlp/SimCSE>)

Recorded evaluation configuration: {"Training data setting":"1% Data"}. This record does not assert independent reproduction.

### BERT-mlm

Accuracy (1/100): 13. Result ID: 69a1540d35dfcabb00e64d14.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fcd1e209131cea47827.md>)

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

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

Recorded evaluation configuration: {"Training data setting":"1% Data"}. This record does not assert independent reproduction.

### DSE

Accuracy (1/100): 7.9. Result ID: 69a1540d35dfcabb00e64d16.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fcd1e209131cea47827.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d121e209131cea376d3.md>)

Recorded evaluation configuration: {"Training data setting":"1% Data"}. This record does not assert independent reproduction.

### BERT

Accuracy (1/100): 7.8. Result ID: 69a1540d35dfcabb00e64d13.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fcd1e209131cea47827.md>)

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

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

Recorded evaluation configuration: {"Training data setting":"1% Data"}. This record does not assert independent reproduction.

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