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Found 5 papers, 5 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.
Evaluating Subjective Cognitive Appraisals of Emotions from Large Language Models
The emotions we experience involve complex processes; besides physiological aspects, research in psychology has studied cognitive appraisals where people assess their situations subjectively, according to their own values (Scherer, 2005).
Unsupervised Extractive Summarization of Emotion Triggers
Second, we develop new unsupervised learning models that can jointly detect emotions and summarize their triggers.
Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts
This paper takes a novel angle, namely, emotion detection and trigger summarization, aiming to both detect perceived emotions in text, and summarize events and their appraisals that trigger each emotion.
