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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 of 77 papers

TitleStatusHype
Language Model Council: Democratically Benchmarking Foundation Models on Highly Subjective TasksCode3
RLVER: Reinforcement Learning with Verifiable Emotion Rewards for Empathetic AgentsCode3
EQ-Bench: An Emotional Intelligence Benchmark for Large Language ModelsCode2
EmoBench: Evaluating the Emotional Intelligence of Large Language ModelsCode2
Scaling Language Models: Methods, Analysis & Insights from Training GopherCode2
NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional StimuliCode1
REALTALK: A 21-Day Real-World Dataset for Long-Term ConversationCode1
Real-Time Emotion Classification Using EEG Data Stream in E-Learning ContextsCode1
SAGE: Steering and Refining Dialog Generation with State-Action AugmentationCode1
EmoLLM: Multimodal Emotional Understanding Meets Large Language ModelsCode1
Investigating Emotion-Color Association in Deep Neural NetworksCode0
Sloth: scaling laws for LLM skills to predict multi-benchmark performance across familiesCode0
From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed DialoguesCode0
Empathic Grounding: Explorations using Multimodal Interaction and Large Language Models with Conversational AgentsCode0
Emotion Twenty Questions Dialog System for Lexical Emotional IntelligenceCode0
Divergences between Language Models and Human BrainsCode0
Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General IntelligenceCode0
Are there intelligent Turing machines?Code0
EmoMeta: A Multimodal Dataset for Fine-grained Emotion Classification in Chinese MetaphorsCode0
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
Learning Transferable Features for Speech Emotion Recognition—0
Lie-Sensor: A Live Emotion Verifier or a Licensor for Chat Applications using Emotional Intelligence—0
LLaVA-Docent: Instruction Tuning with Multimodal Large Language Model to Support Art Appreciation Education—0
Machine Learning Algorithms for Depression Detection and Their Comparison—0
MMTF-DES: A Fusion of Multimodal Transformer Models for Desire, Emotion, and Sentiment Analysis of Social Media Data—0
Modelling Emotions in Face-to-Face Setting: The Interplay of Eye-Tracking, Personality, and Temporal Dynamics—0
MRAC Track 1: 2nd Workshop on Multimodal, Generative and Responsible Affective Computing—0
Multimodal Emotion Recognition using Transfer Learning from Speaker Recognition and BERT-based models—0
occ2vec: A principal approach to representing occupations using natural language processing—0
Future Trends for Human-AI Collaboration: A Comprehensive Taxonomy of AI/AGI Using Multiple Intelligences and Learning Styles—0
Real Time Emotion Analysis Using Deep Learning for Education, Entertainment, and Beyond—0
Reevaluating Data Partitioning for Emotion Detection in EmoWOZ—0
Show:102550
← PrevPage 1 of 2Next →

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