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

Showing 7677 of 77 papers

TitleStatusHype
Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General IntelligenceCode0
EmoMeta: A Multimodal Dataset for Fine-grained Emotion Classification in Chinese MetaphorsCode0
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Benchmark Results

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