SOTAVerified

Emotional Intelligence

Emotional Intelligence (EI) is a measure of "The ability to monitor one’s own and others’ feelings, to discriminate among them, and to use this information to guide one’s thinking and action." (Salovey and Mayer, 1990). EI is further broken down into four branches: perceiving, using, understanding and managing emotions (Mayer & Salovey, 1997). Of particular relevance to language models that operate exclusively in the text modality is emotional understanding (EU). This is defined as the ability to interpret and analyse the language of emotions, to comprehend complex emotional states, and understand how these emotions can influence behaviour and decision-making.

Papers

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Showing 1–50 of 77 papers

TitleStatusHype
RLVER: Reinforcement Learning with Verifiable Emotion Rewards for Empathetic AgentsCode3
Language Model Council: Democratically Benchmarking Foundation Models on Highly Subjective TasksCode3
Scaling Language Models: Methods, Analysis & Insights from Training GopherCode2
EmoBench: Evaluating the Emotional Intelligence of Large Language ModelsCode2
EQ-Bench: An Emotional Intelligence Benchmark for Large Language ModelsCode2
EmoLLM: Multimodal Emotional Understanding Meets Large Language ModelsCode1
Real-Time Emotion Classification Using EEG Data Stream in E-Learning ContextsCode1
SAGE: Steering and Refining Dialog Generation with State-Action AugmentationCode1
REALTALK: A 21-Day Real-World Dataset for Long-Term ConversationCode1
NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional StimuliCode1
Controllability Analysis of Functional Brain Networks—0
CuentosIE: can a chatbot about "tales with a message" help to teach emotional intelligence?—0
Ego Defensive Styles as Predictors of Emotional Intelligence and the Effects of Demographic Characteristics on Defensive Styles and Emotional Intelligence—0
EmoAssist: Emotional Assistant for Visual Impairment Community—0
EmoBench-M: Benchmarking Emotional Intelligence for Multimodal Large Language Models—0
Emotional Intelligence of Large Language Models—0
Emotional Intelligence Through Artificial Intelligence : NLP and Deep Learning in the Analysis of Healthcare Texts—0
Emotion-Aware Interaction Design in Intelligent User Interface Using Multi-Modal Deep Learning—0
Large Language Models Understand and Can be Enhanced by Emotional Stimuli—0
EmotionQueen: A Benchmark for Evaluating Empathy of Large Language Models—0
Affective Video Content Analysis: Decade Review and New Perspectives—0
Emotion Recognition from Multiple Modalities: Fundamentals and Methodologies—0
EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses—0
Empathy Through Multimodality in Conversational Interfaces—0
Empirical Interpretation of Speech Emotion Perception with Attention Based Model for Speech Emotion Recognition—0
Empirical Interpretation of the Relationship Between Speech Acoustic Context and Emotion Recognition—0
Enhancing AI-Driven Psychological Consultation: Layered Prompts with Large Language Models—0
Enhancing Human-Like Responses in Large Language Models—0
Enhancing Emotional Generation Capability of Large Language Models via Emotional Chain-of-Thought—0
Exponential Shift: Humans Adapt to AI Economies—0
Fuzzy Approach for Audio-Video Emotion Recognition in Computer Games for Children—0
Generative AI and Its Impact on Personalized Intelligent Tutoring Systems—0
Generative Technology for Human Emotion Recognition: A Scope Review—0
HICEM: A High-Coverage Emotion Model for Artificial Emotional Intelligence—0
Human-In-The-Loop Machine Learning for Safe and Ethical Autonomous Vehicles: Principles, Challenges, and Opportunities—0
Identity-free Artificial Emotional Intelligence via Micro-Gesture Understanding—0
Investigating Audio, Video, and Text Fusion Methods for End-to-End Automatic Personality Prediction—0
Deep Multi-Facial patches Aggregation Network for Expression Classification from Face Images—0
Investigating Audio, Visual, and Text Fusion Methods for End-to-End Automatic Personality Prediction—0
AER-LLM: Ambiguity-aware Emotion Recognition Leveraging Large Language Models—0
Affective Image Content Analysis: Two Decades Review and New Perspectives—0
An Appraisal-Based Chain-Of-Emotion Architecture for Affective Language Model Game Agents—0
Appraisal-Guided Proximal Policy Optimization: Modeling Psychological Disorders in Dynamic Grid World—0
A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio—0
A Survey on Human-Centric LLMs—0
Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation—0
Challenges of Artificial Intelligence -- From Machine Learning and Computer Vision to Emotional Intelligence—0
Continuing Pre-trained Model with Multiple Training Strategies for Emotional Classification—0
Reevaluating Data Partitioning for Emotion Detection in EmoWOZ—0
Research on emotionally intelligent dialogue generation based on automatic dialogue system—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OpenAI gpt-4-0613EQ-Bench Score62.52—Unverified
2migtissera/SynthIA-70B-v1.5EQ-Bench Score54.83—Unverified
3OpenAI gpt-4-0314EQ-Bench Score53.39—Unverified
4Qwen/Qwen-72B-ChatEQ-Bench Score52.44—Unverified
5Anthropic Claude2EQ-Bench Score52.14—Unverified
6meta-llama/Llama-2-70b-chat-hfEQ-Bench Score51.56—Unverified
701-ai/Yi-34B-ChatEQ-Bench Score51.03—Unverified
8OpenAI gpt-3.5-0613EQ-Bench Score49.17—Unverified
9OpenAI gpt-3.5-turbo-0301EQ-Bench Score47.61—Unverified
10Open-Orca/Mistral-7B-OpenOrcaEQ-Bench Score44.4—Unverified