Summary of Empo: Emotion Grounding For Empathetic Response Generation Through Preference Optimization, by Ondrej Sotolar et al.
EmPO: Emotion Grounding for Empathetic Response Generation through Preference Optimization
by Ondrej Sotolar, Vojtech Formanek, Alok Debnath, Allison Lahnala, Charles Welch, Lucie FLek
First submitted to arxiv on: 27 Jun 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 a novel approach to empathetic response generation in conversational agents, leveraging large language models (LLMs) and preference optimization algorithms. The authors construct theory-driven preference datasets based on emotion grounding to align LLMs with empathy-focused objectives. To evaluate the effectiveness of this approach, the authors employ the EmpatheticDialogues dataset, assessing empathy using diff-Epitome and BERTscore metrics, as well as human evaluation. Additionally, they measure diversity and emotional valence using feature-based methods. The results show that LLMs can be aligned for empathetic response generation while retaining their general performance, and that emotion grounding can guide preference dataset creation. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about making computers understand humans better. Right now, most chatbots are not very good at responding in a way that shows they care or understand how we feel. The researchers came up with a new method to teach computers to be more empathetic by using large language models and special datasets. They tested their approach on a big conversation dataset and found that it works! They also measured how well the computer responses captured different emotions and made sure they were diverse. Overall, this study shows that computers can be taught to have conversations that are not just informative but also show empathy. |
Keywords
» Artificial intelligence » Grounding » Optimization
