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 51–75 of 77 papers

TitleStatusHype
Research on emotionally intelligent dialogue generation based on automatic dialogue system—0
StressPrompt: Does Stress Impact Large Language Models and Human Performance Similarly?—0
Synthesizing Affective Neurophysiological Signals Using Generative Models: A Review Paper—0
The Effect of Implicit Attitude on Self-Concept, Emotional Intelligence, Personality Characteristics and Ego Defense Styles—0
The neural signature of inner peace: morphometric differences between high and low accepters—0
The Nexus between Job Burnout and Emotional Intelligence on Turnover Intention in Oil and Gas Companies in the UAE—0
The SPACE THEA Project—0
Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotion—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
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
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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