2 citations · 4 across the 8 of their papers we have counts for
5 papers · 1 filter
E-ICL: Enhancing Fine-Grained Emotion Recognition through the Lens of Prototype Theory
Zhaochun Ren, Zhou Yang, Chenglong Ye +6
In-context learning (ICL) achieves remarkable performance in various domains such as knowledge acquisition, commonsense reasoning, and semantic understanding. However, its performa…
CTSM: Combining Trait and State Emotions for Empathetic Response Model
Wang Yufeng, Chen Chao, Yang Zhou +2
Empathetic response generation endeavors to empower dialogue systems to perceive speakers' emotions and generate empathetic responses accordingly. Psychological research demonstrat…
Exploiting Emotion-Semantic Correlations for Empathetic Response Generation
Zhou Yang, Zhaochun Ren, Yufeng Wang +7
Empathetic response generation aims to generate empathetic responses by understanding the speaker's emotional feelings from the language of dialogue. Recent methods capture emotion…
Enhancing Empathetic Response Generation by Augmenting LLMs with Small-scale Empathetic Models
Zhou Yang, Zhaochun Ren, Wang Yufeng +4
Empathetic response generation is increasingly significant in AI, necessitating nuanced emotional and cognitive understanding coupled with articulate response expression. Current l…
An Iterative Associative Memory Model for Empathetic Response Generation
Zhou Yang, Zhaochun Ren, Yufeng Wang +4
Empathetic response generation aims to comprehend the cognitive and emotional states in dialogue utterances and generate proper responses. Psychological theories posit that compreh…