Search Results for author:
Found 7 papers, 3 papers with code
Large Language Models are Capable of Offering Cognitive Reappraisal, if Guided
Large language models (LLMs) have offered new opportunities for emotional support, and recent work has shown that they can produce empathic responses to people in distress.
Large Language Models Produce Responses Perceived to be Empathic
Large Language Models (LLMs) have demonstrated surprising performance on many tasks, including writing supportive messages that display empathy.
Chain of Empathy: Enhancing Empathetic Response of Large Language Models Based on Psychotherapy Models
We present a novel method, the Chain of Empathy (CoE) prompting, that utilizes insights from psychotherapy to induce Large Language Models (LLMs) to reason about human emotional states.
Developing Social Robots with Empathetic Non-Verbal Cues Using Large Language Models
We propose augmenting the empathetic capacities of social robots by integrating non-verbal cues.
A Portrait of Emotion: Empowering Self-Expression through AI-Generated Art
We investigated the potential and limitations of generative artificial intelligence (AI) in reflecting the authors' cognitive processes through creative expression.
When Crowd Meets Persona: Creating a Large-Scale Open-Domain Persona Dialogue Corpus
Building a natural language dataset requires caution since word semantics is vulnerable to subtle text change or the definition of the annotated concept.
A Computational Approach to Measure Empathy and Theory-of-Mind from Written Texts
Sentences that successfully take the perspective of others (the highest ToM level) were the most difficult to predict.
