Summary of Aptness: Incorporating Appraisal Theory and Emotion Support Strategies For Empathetic Response Generation, by Yuxuan Hu et al.
APTNESS: Incorporating Appraisal Theory and Emotion Support Strategies for Empathetic Response Generation
by Yuxuan Hu, Minghuan Tan, Chenwei Zhang, Zixuan Li, Xiaodan Liang, Min Yang, Chengming Li, Xiping Hu
First submitted to arxiv on: 23 Jul 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes an innovative framework to enhance the empathetic abilities of language models (LMs) by integrating retrieval augmentation and emotional support strategy integration. The framework starts with a comprehensive emotional palette for empathy, which is decomposed using appraisal theory to create a database of empathetic responses. This database serves as an external resource that enhances the LLM’s empathy by incorporating semantic retrieval mechanisms. The framework also emphasizes proper articulation of response strategies, aiming to enrich the model’s capabilities in both cognitive and affective empathy. Experimental results demonstrate the effectiveness of the framework in enhancing the empathy ability of LMs from both perspectives. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps computers understand and respond to people’s emotions better. It’s like teaching a computer to be more understanding and comforting when someone is upset or sad. The researchers developed a new way to train language models to do this by combining two techniques: one that helps the model understand emotions and another that provides comfort. They tested their approach on some big datasets and showed that it can improve the model’s ability to understand and respond to people’s emotions in a more nuanced and empathetic way. |
