1 citations · 1 across the 4 of their papers we have counts for
4 papers
Fine-Grained Emotion Recognition via In-Context Learning
Zhaochun Ren, Zhou Yang, Chenglong Ye +4
Fine-grained emotion recognition aims to identify the emotional type in queries through reasoning and decision-making processes, playing a crucial role in various systems. Recent m…
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…
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…