Dialogue Summarization with Mixture of Experts based on Large Language Models (2024.acl-long)
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| Challenge: | Existing studies for dialogue summarization use one model at a time or treat it as a black box. |
| Approach: | They propose an LLM-based approach with role-oriented routing and fusion generation to utilize mixture of experts for dialogue summarization. |
| Outcome: | The proposed approach produces informative and accurate dialogue summarization on widely used datasets. |
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