Papers Empathetic Response Generation
“Empathetic Response Generation” 태그가 달린 논문 53편 · 필터 해제
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 GenerationE3RG: Building Explicit Emotion-driven Empathetic Response Generation System with Multimodal Large Language Model
Multimodal Empathetic Response Generation (MERG) is crucial for building emotionally intelligent human-computer interactions. Although large language models (LLMs) have improved text-based ERG, challenges remain in handl…
Empathetic Response GenerationPsyche-R1: Towards Reliable Psychological LLMs through Unified Empathy, Expertise, and Reasoning
Amidst a shortage of qualified mental health professionals, the integration of large language models (LLMs) into psychological applications offers a promising way to alleviate the growing burden of mental health disorder…
Empathetic Response GenerationTOOL-ED: Enhancing Empathetic Response Generation with the Tool Calling Capability of LLM
Empathetic conversation is a crucial characteristic in daily conversations between individuals. Nowadays, Large Language models (LLMs) have shown outstanding performance in generating empathetic responses. Knowledge base…
Empathetic Response GenerationResponse GenerationStrategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks
Given the advancements in conversational artificial intelligence, the evaluation and assessment of Large Language Models (LLMs) play a crucial role in ensuring optimal performance across various conversational tasks. In …
Empathetic Response GenerationResponse GenerationReflectDiffu:Reflect between Emotion-intent Contagion and Mimicry for Empathetic Response Generation via a RL-Diffusion Framework
Empathetic response generation necessitates the integration of emotional and intentional dynamics to foster meaningful interactions. Existing research either neglects the intricate interplay between emotion and intent, l…
Decision MakingDialogue GenerationEmotion RecognitionEmpathetic Response Generation+3Cause-Aware Empathetic Response Generation via Chain-of-Thought Fine-Tuning
Empathetic response generation endows agents with the capability to comprehend dialogue contexts and react to expressed emotions. Previous works predominantly focus on leveraging the speaker's emotional labels, but ignor…
DiversityEmpathetic Response GenerationResponse GenerationEmpathy Level Alignment via Reinforcement Learning for Empathetic Response Generation
Empathetic response generation, aiming to understand the user's situation and feelings and respond empathically, is crucial in building human-like dialogue systems. Traditional approaches typically employ maximum likelih…
Empathetic Response Generationreinforcement-learningReinforcement LearningResponse Generation+1StyEmp: Stylizing Empathetic Response Generation via Multi-Grained Prefix Encoder and Personality Reinforcement
Recent approaches for empathetic response generation mainly focus on emotional resonance and user understanding, without considering the system's personality. Consistent personality is evident in real human expression an…
Contrastive LearningEmpathetic Response GenerationResponse GenerationAPTNESS: Incorporating Appraisal Theory and Emotion Support Strategies for Empathetic Response Generation
Empathetic response generation is designed to comprehend the emotions of others and select the most appropriate strategies to assist them in resolving emotional challenges. Empathy can be categorized into cognitive empat…
Empathetic Response GenerationResponse GenerationRetrievalSemantic RetrievalEmPO: Emotion Grounding for Empathetic Response Generation through Preference Optimization
Empathetic response generation is a desirable aspect of conversational agents, crucial for facilitating engaging and emotionally intelligent multi-turn conversations between humans and machines. Leveraging large language…
DiversityEmpathetic Response GenerationMMLUResponse GenerationTowards Enhancing Health Coaching Dialogue in Low-Resource Settings
Health coaching helps patients identify and accomplish lifestyle-related goals, effectively improving the control of chronic diseases and mitigating mental health conditions. However, health coaching is cost-prohibitive …
Empathetic Response GenerationResponse GenerationDynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation
Emotional Support Conversation (ESC) systems are pivotal in providing empathetic interactions, aiding users through negative emotional states by understanding and addressing their unique experiences. In this paper, we ta…
DecoderEmpathetic Response GenerationIn-Context LearningResponse Generation+1CTSM: Combining Trait and State Emotions for Empathetic Response Model
Empathetic response generation endeavors to empower dialogue systems to perceive speakers' emotions and generate empathetic responses accordingly. Psychological research demonstrates that emotion, as an essential factor …
Contrastive LearningDecoderEmpathetic Response GenerationResponse GenerationAn Iterative Associative Memory Model for Empathetic Response Generation
Empathetic response generation aims to comprehend the cognitive and emotional states in dialogue utterances and generate proper responses. Psychological theories posit that comprehending emotional and cognitive states ne…
Empathetic Response GenerationResponse Generation