Identifying Power Relations in Conversations using Multi-Agent Social Reasoning (2025.naacl-short)
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| Challenge: | Existing approaches to understanding power relationships in conversations are based on task-specific supervised learning. |
| Approach: | They propose a multi-agent social reasoning framework that leverages social science tools to generate and evaluate reasons from multiple perspectives and construct a factor graph for inference. |
| Outcome: | The proposed framework outperforms standard prompting baselines on power dynamics in conversations. |
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