most citedSoulChat: Improving LLMs' Empathy, Listening, and Comfort Abilities through Fine-tuning with Multi-turn Empathy Conversations

4 citations · 4 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CL2023★ 4 cited

SoulChat: Improving LLMs' Empathy, Listening, and Comfort Abilities through Fine-tuning with Multi-turn Empathy Conversations

Yirong Chen, Xiaofen Xing, Jingkai Lin +4

Large language models (LLMs) have been widely applied in various fields due to their excellent capability for memorizing knowledge and chain of thought (CoT). When these language m…