Empathetic Response Generation
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Benchmarks
EmpatheticDialogues
Most implemented
CAiRE: An Empathetic Neural Chatbot
TOOL-ED: Enhancing Empathetic Response Generation with the Tool Calling Capability of LLM
Empathy Level Alignment via Reinforcement Learning for Empathetic Response Generation
APTNESS: Incorporating Appraisal Theory and Emotion Support Strategies for Empathetic Response Generation
EmPO: Emotion Grounding for Empathetic Response Generation through Preference Optimization
Towards Enhancing Health Coaching Dialogue in Low-Resource Settings
Papers
From Triggers to Emotions: A CPM-Grounded Appraisal Multi-Agent for Dynamic Emotional Evolution in Persona-Based Dialogue
Large Language Models (LLMs) have substantially advanced persona-based dialogue agents for emotion-sensitive role simulation in healthcare, education, counseling, customer service, and interactive storytelling. However, …
Empathetic Response GenerationA Multi-Agent Framework with Structured Reasoning and Reflective Refinement for Multimodal Empathetic Response Generation
Multimodal empathetic response generation (MERG) aims to generate emotionally engaging and empathetic responses based on users' multimodal contexts. Existing approaches usually rely on an implicit one-pass generation par…
Empathetic Response GenerationRE-LLM: Refining Empathetic Speech-LLM Responses by Integrating Emotion Nuance
With generative AI advancing, empathy in human-AI interaction is essential. While prior work focuses on emotional reflection, emotional exploration, key to deeper engagement, remains overlooked. Existing LLMs rely on tex…
Empathetic Response GenerationSpeech Emotion RecognitionES4R: Speech Encoding Based on Prepositive Affective Modeling for Empathetic Response Generation
Empathetic speech dialogue requires not only understanding linguistic content but also perceiving rich paralinguistic information such as prosody, tone, and emotional intensity for affective understandings. Existing spee…
Empathetic Response GenerationSpeech SynthesisA Unified Spoken Language Model with Injected Emotional-Attribution Thinking for Human-like Interaction
This paper presents a unified spoken language model for emotional intelligence, enhanced by a novel data construction strategy termed Injected Emotional-Attribution Thinking (IEAT). IEAT incorporates user emotional state…
Empathetic Response GenerationEmotional IntelligenceTrajectory ModelingFollowing the TRACE: A Structured Path to Empathetic Response Generation with Multi-Agent Models
Empathetic response generation is a crucial task for creating more human-like and supportive conversational agents. However, existing methods face a core trade-off between the analytical depth of specialized models and t…
Empathetic Response Generation