Papers Emotional Intelligence
“Emotional Intelligence” 태그가 달린 논문 122편 · 필터 해제
ProFocus: Interpreting Affective Experience in Artistic Images with Progressive Visual Focusing
Interpreting the emotional responses triggered by images is central to achieving emotional intelligence. Compared with natural images, visual art is intentionally created to elicit emotional responses from its viewers th…
Representation LearningEmotional IntelligenceEmotion RecognitionOneEmo: A Unified Multimodal Reasoning Model for Emotion Perception, Understanding, and Interaction
Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in emotional intelligence. However, prevailing research predominantly focuses on task-specific specialization, often neglecting inter-tas…
Reinforcement LearningEmotional IntelligenceMultimodal ReasoningMulti-Task LearningMVEI & EmObserver: Empowering MLLM-Oriented Visual Emotional Intelligence via Emotion Statement Judgement
Affective Image Content Analysis (AICA) aims to recognize and understand emotions elicited by visual content, representing an indispensable step toward Artificial General Intelligence (AGI). However, despite the rapid pr…
Emotional IntelligenceEmotion InterpretationPersonalized Emotional Intelligence in Generative AI through Symbolic Affective Reasoning
Emotional intelligence enables humans to recognize emotions, infer their causes, reason about interventions, and modify their environment to achieve desired affective states. Despite recent advances in artificial intelli…
Emotional IntelligencePTEI: Integrating Personality Traits to Enhance Emotional Intelligence in Large Language Models
Despite advances in Emotional Intelligence (EI), Large Language Models (LLMs) still significantly underperform humans in complex emotional reasoning. This gap originates partly from the limited incorporation of individua…
Emotional IntelligenceContrastive LearningSpeechEQ: Benchmarking Emotional Intelligence Quotient in Socially Aware Voice Conversational Models
As multimodal conversational systems increasingly engage in spoken interaction, their ability to navigate paralinguistic social cues has become a critical bottleneck for natural human-AI communication. However, existing …
Speech Emotion RecognitionEmotional IntelligenceReal-Time Voice AI Hears but Does Not Listen
Speech conveys information through both words and vocal delivery. We evaluate four leading production realtime voice systems-OpenAI's GPT Realtime 2, Google's Gemini 3.1 Flash Live, and Alibaba's Qwen3.5 Omni Plus and Om…
Emotional IntelligenceEIBench: A Simulator-Based Benchmark and Turn-Credit RL for Emotion Management
Emotional intelligence (EI) in Large Language Models (LLMs) is often evaluated through static understanding tasks or single-response dialogue generation. However, emotion management is interactive: a good model should no…
Emotional IntelligenceDialogue GenerationEmotional intelligence in large language models is fragmented across perception, cognition, and interaction
As large language models (LLMs) are increasingly integrated into emotionally sensitive domains, the structural integrity of their emotional intelligence (EI) becomes a critical frontier for safety and alignment. Current …
Emotional IntelligenceEmotion RecognitionAttuneBench: A Conversation-Based Benchmark for LLM Emotional Intelligence
Emotional intelligence (EI), the ability to perceive, understand, and respond appropriately to others' emotional states, is central to human communication, and increasingly important to assess as LLMs assume conversation…
Emotional IntelligenceEmotion RecognitionEmoMAS: Emotion-Aware Multi-Agent System for High-Stakes Edge-Deployable Negotiation with Bayesian Orchestration
Large language models (LLMs) has been widely used for automated negotiation, but their high computational cost and privacy risks limit deployment in privacy-sensitive, on-device settings such as mobile assistants or resc…
Reinforcement LearningEmotional IntelligenceEmoLLM: Appraisal-Grounded Cognitive-Emotional Co-Reasoning in Large Language Models
Large language models (LLMs) demonstrate strong cognitive intelligence (IQ), yet many real-world interactions also require emotional intelligence (EQ) to produce responses that are both factually reliable and emotionally…
Reinforcement LearningEmotional IntelligenceNano-EmoX: Unifying Multimodal Emotional Intelligence from Perception to Empathy
The development of affective multimodal language models (MLMs) has long been constrained by a gap between low-level perception and high-level interaction, leading to fragmented affective capabilities and limited generali…
Emotional IntelligenceEMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language Models
Multimodal Large Language Models (MLLMs) have shown remarkable progress in visual reasoning and understanding tasks but still struggle to capture the complexity and subjectivity of human emotions. Existing approaches bas…
Emotional IntelligenceReinforcement LearningVisual ReasoningYour Robot Will Feel You Now: Empathy in Robots and Embodied Agents
The fields of human-robot interaction (HRI) and embodied conversational agents (ECAs) have long studied how empathy could be implemented in machines. One of the major drivers has been the goal of giving multimodal social…
Emotional IntelligenceSynthesizing the Virtual Advocate: A Multi-Persona Speech Generation Framework for Diverse Linguistic Jurisdictions in Indic Languages
Legal advocacy requires a unique combination of authoritative tone, rhythmic pausing for emphasis, and emotional intelligence. This study investigates the performance of the Gemini 2.5 Flash TTS and Gemini 2.5 Pro TTS mo…
Emotional IntelligencePERM: Psychology-grounded Empathetic Reward Modeling for Large Language Models
Large Language Models (LLMs) are increasingly deployed in human-centric applications, yet they often fail to provide substantive emotional support. While Reinforcement Learning (RL) has been utilized to enhance empathy o…
Reinforcement LearningEmotional IntelligenceAn Ubuntu-Guided Large Language Model Framework for Cognitive Behavioral Mental Health Dialogue
South Africa's escalating mental health crisis, compounded by limited access to culturally responsive care, calls for innovative and contextually grounded interventions. While large language models show considerable prom…
Emotional IntelligenceThe ICASSP 2026 HumDial Challenge: Benchmarking Human-like Spoken Dialogue Systems in the LLM Era
Driven by the rapid advancement of Large Language Models (LLMs), particularly Audio-LLMs and Omni-models, spoken dialogue systems have evolved significantly, progressively narrowing the gap between human-machine and huma…
Emotional IntelligenceA 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 Modeling