# Multi-agent Question Answering on SocialIQA (first 300 questions)

Source: [Multi-agent Question Answering on SocialIQA (first 300 questions)](<https://www.sota2.com/research/sota/multi-agent-question-answering-on-socialiqa-first-300-questions>)

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

Data updated: 2026-05-26T10:59:10.076Z

Evaluation of model performance on the first 300 questions subset of the SocialIQA dataset for Multi-agent Question Answering, including accuracy and efficiency 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 | Multi-agent Question Answering |
| Dataset (including any stated split) | SocialIQA (first 300 questions) |
| Metric | Average Accuracy |
| 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

- [Average Accuracy](<https://www.sota2.com/research/sota/multi-agent-question-answering-on-socialiqa-first-300-questions.md?metric=Average%20Accuracy>): Higher is better; unit: PERCENT.

- [Majority Accuracy](<https://www.sota2.com/research/sota/multi-agent-question-answering-on-socialiqa-first-300-questions.md?metric=Majority%20Accuracy>): Higher is better; unit: PERCENT.

- [Token Count](<https://www.sota2.com/research/sota/multi-agent-question-answering-on-socialiqa-first-300-questions.md?metric=Token%20Count>): Higher is better; unit: SCALAR.

- [Inference Time](<https://www.sota2.com/research/sota/multi-agent-question-answering-on-socialiqa-first-300-questions.md?metric=Inference%20Time>): Lower is better; unit: TIME.

## Recorded results

| Method | Average Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| HyLaT | 82.56 | Not recorded | 6a152968dbd7150506f7e36a |
| LatentFullT | 80.78 | Not recorded | 6a152968dbd7150506f7e36a |
| TextFullT | 76.66 | Not recorded | 6a152968dbd7150506f7e36a |
| AutoForm | 59.89 | Not recorded | 6a152968dbd7150506f7e36a |
| NL | 58.22 | Not recorded | 6a152968dbd7150506f7e36a |
| SDE | 58.11 | Not recorded | 6a152968dbd7150506f7e36a |
| Cipher | 57.89 | Not recorded | 6a152968dbd7150506f7e36a |
| Single-Agent | 56 | Not recorded | 6a152968dbd7150506f7e36a |
| EcoLang | 55.78 | Not recorded | 6a152968dbd7150506f7e36a |
| LatentMAS-V | 42.78 | Not recorded | 6a152968dbd7150506f7e36a |

### HyLaT

Average Accuracy: 82.56. Result ID: 6a157cccfbc373592c0dbca4.

[Reporting paper](<https://www.sota2.com/research/paper/6a152968dbd7150506f7e36a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a152968dbd7150506f7e36a.md>)

Recorded evaluation configuration: {"Training Status":"Training-Based","Communication Protocol":"Latent-Space","Number of Agents":"3","Communication Turns":"2"}. This record does not assert independent reproduction.

### LatentFullT

Average Accuracy: 80.78. Result ID: 6a157cccfbc373592c0dbca3.

[Reporting paper](<https://www.sota2.com/research/paper/6a152968dbd7150506f7e36a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a152968dbd7150506f7e36a.md>)

Recorded evaluation configuration: {"Training Status":"Training-Based","Communication Protocol":"Latent-Space","Number of Agents":"3","Communication Turns":"2"}. This record does not assert independent reproduction.

### TextFullT

Average Accuracy: 76.66. Result ID: 6a157cccfbc373592c0dbca2.

[Reporting paper](<https://www.sota2.com/research/paper/6a152968dbd7150506f7e36a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a152968dbd7150506f7e36a.md>)

Recorded evaluation configuration: {"Training Status":"Training-Based","Communication Protocol":"Text-Based","Number of Agents":"3","Communication Turns":"2"}. This record does not assert independent reproduction.

### AutoForm

Average Accuracy: 59.89. Result ID: 6a157cccfbc373592c0dbc9d.

[Reporting paper](<https://www.sota2.com/research/paper/6a152968dbd7150506f7e36a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa73c21e209131cea5e4ab.md>)

Recorded evaluation configuration: {"Training Status":"Training-Free","Communication Protocol":"Text-Based","Number of Agents":"3","Communication Turns":"2"}. This record does not assert independent reproduction.

### NL

Average Accuracy: 58.22. Result ID: 6a157cccfbc373592c0dbc9c.

[Reporting paper](<https://www.sota2.com/research/paper/6a152968dbd7150506f7e36a.md>)

Recorded evaluation configuration: {"Training Status":"Training-Free","Communication Protocol":"Text-Based","Number of Agents":"3","Communication Turns":"2"}. This record does not assert independent reproduction.

### SDE

Average Accuracy: 58.11. Result ID: 6a157cccfbc373592c0dbc9f.

[Reporting paper](<https://www.sota2.com/research/paper/6a152968dbd7150506f7e36a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7b841e209131cea88d68.md>)

Recorded evaluation configuration: {"Training Status":"Training-Free","Communication Protocol":"Text-Based","Number of Agents":"3","Communication Turns":"2"}. This record does not assert independent reproduction.

### Cipher

Average Accuracy: 57.89. Result ID: 6a157cccfbc373592c0dbca0.

[Reporting paper](<https://www.sota2.com/research/paper/6a152968dbd7150506f7e36a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72591e209131cea55d77.md>)

Recorded evaluation configuration: {"Training Status":"Training-Free","Communication Protocol":"Latent-Space","Number of Agents":"3","Communication Turns":"2"}. This record does not assert independent reproduction.

### Single-Agent

Average Accuracy: 56. Result ID: 6a157cccfbc373592c0dbc9b.

[Reporting paper](<https://www.sota2.com/research/paper/6a152968dbd7150506f7e36a.md>)

Recorded evaluation configuration: {"Training Status":"Training-Free","Communication Protocol":"Single-Agent","Number of Agents":"1","Communication Turns":"0"}. This record does not assert independent reproduction.

### EcoLang

Average Accuracy: 55.78. Result ID: 6a157cccfbc373592c0dbc9e.

[Reporting paper](<https://www.sota2.com/research/paper/6a152968dbd7150506f7e36a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa78781e209131cea78867.md>)

Recorded evaluation configuration: {"Training Status":"Training-Free","Communication Protocol":"Text-Based","Number of Agents":"3","Communication Turns":"2"}. This record does not assert independent reproduction.

### LatentMAS-V

Average Accuracy: 42.78. Result ID: 6a157cccfbc373592c0dbca1.

[Reporting paper](<https://www.sota2.com/research/paper/6a152968dbd7150506f7e36a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/692689c6d6b0dd334293064c.md>)

[Implementation](<https://github.com/Gen-Verse/LatentMAS>)

Recorded evaluation configuration: {"Training Status":"Training-Free","Communication Protocol":"Latent-Space","Number of Agents":"3","Communication Turns":"2"}. This record does not assert independent reproduction.

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