Cover Image

EmoBench: Evaluating the Emotional Intelligence of Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sabour, Sahand, Liu, Siyang, Zhang, Zheyuan, Liu, June M., Zhou, Jinfeng, Sunaryo, Alvionna S., Li, Juanzi, Lee, Tatia M. C., Mihalcea, Rada, Huang, Minlie
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Free Lunch for User Experience: Crowdsourcing Agents for Scalable User Studies
by: Liu, Siyang, et al.
Published: (2025)

EmoBench-M: Benchmarking Emotional Intelligence for Multimodal Large Language Models
by: Hu, He, et al.
Published: (2025)

Enhanced Large Language Models for Effective Screening of Depression and Anxiety
by: Liu, June M., et al.
Published: (2025)

EmoBench-UA: A Benchmark Dataset for Emotion Detection in Ukrainian
by: Dementieva, Daryna, et al.
Published: (2025)

Human Decision-making is Susceptible to AI-driven Manipulation
by: Sabour, Sahand, et al.
Published: (2025)

PatientHub: A Unified Framework for Patient Simulation
by: Sabour, Sahand, et al.
Published: (2026)

The Generation Gap: Exploring Age Bias in the Value Systems of Large Language Models
by: Liu, Siyang, et al.
Published: (2024)

Patient-Centered RAG for Oncology Visit Aid Following the Ottawa Decision Guide
by: Liu, Siyang, et al.
Published: (2025)

COKE: A Cognitive Knowledge Graph for Machine Theory of Mind
by: Wu, Jincenzi, et al.
Published: (2023)

The Age of Curiosity Meets the Age of AI: Benchmarking Child Safety in Large Language Models
by: Arif, Samee, et al.
Published: (2026)

Towards Region-aware Bias Evaluation Metrics
by: Borah, Angana, et al.
Published: (2024)

Eeyore: Realistic Depression Simulation via Supervised and Preference Optimization
by: Liu, Siyang, et al.
Published: (2025)

Towards Implicit Bias Detection and Mitigation in Multi-Agent LLM Interactions
by: Borah, Angana, et al.
Published: (2024)

Rethinking Table Instruction Tuning
by: Deng, Naihao, et al.
Published: (2025)

Are Human Interactions Replicable by Generative Agents? A Case Study on Pronoun Usage in Hierarchical Interactions
by: Deng, Naihao, et al.
Published: (2025)

Whose wife is it anyway? Assessing bias against same-gender relationships in machine translation
by: Stewart, Ian, et al.
Published: (2024)

Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense
by: Shen, Siqi, et al.
Published: (2024)

Uplifting Lower-Income Data: Strategies for Socioeconomic Perspective Shifts in Large Multi-modal Models
by: Nwatu, Joan, et al.
Published: (2024)

VERVE: Template-based ReflectiVE Rewriting for MotiVational IntErviewing
by: Min, Do June, et al.
Published: (2023)

Dynamic Reward Adjustment in Multi-Reward Reinforcement Learning for Counselor Reflection Generation
by: Min, Do June, et al.
Published: (2024)

MultiEmo-Bench: Multi-label Visual Emotion Analysis for Multi-modal Large Language Models
by: Chen, Tianwei, et al.
Published: (2026)

CandorMD: An AI-Assisted Audio Simulation and Feedback System for Training Clinicians for Medical Error Disclosure
by: Lin, Inna Wanyin, et al.
Published: (2026)

SafetyBench: Evaluating the Safety of Large Language Models
by: Zhang, Zhexin, et al.
Published: (2023)

Emo-bias: A Large Scale Evaluation of Social Bias on Speech Emotion Recognition
by: Lin, Yi-Cheng, et al.
Published: (2024)

ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model
by: Liu, Zhiwei, et al.
Published: (2024)

MemEmo: Evaluating Emotion in Memory Systems of Agents
by: Liu, Peng, et al.
Published: (2026)

WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models
by: Tu, Shangqing, et al.
Published: (2023)

EQ-Bench: An Emotional Intelligence Benchmark for Large Language Models
by: Paech, Samuel J.
Published: (2023)

EmoDebt: Bayesian-Optimized Emotional Intelligence for Strategic Agent-to-Agent Debt Recovery
by: Long, Yunbo, et al.
Published: (2025)

SocialHarmBench: Revealing LLM Vulnerabilities to Socially Harmful Requests
by: Pandey, Punya Syon, et al.
Published: (2025)

EmoLLM: Multimodal Emotional Understanding Meets Large Language Models
by: Yang, Qu, et al.
Published: (2024)

SocialEval: Evaluating Social Intelligence of Large Language Models
by: Zhou, Jinfeng, et al.
Published: (2025)

Towards Algorithmic Fidelity: Mental Health Representation across Demographics in Synthetic vs. Human-generated Data
by: Mori, Shinka, et al.
Published: (2024)

Not There Yet: Evaluating Vision Language Models in Simulating the Visual Perception of People with Low Vision
by: Natalie, Rosiana, et al.
Published: (2025)

Democratic or Authoritarian? Probing a New Dimension of Political Biases in Large Language Models
by: Piedrahita, David Guzman, et al.
Published: (2025)

Mind the (Belief) Gap: Group Identity in the World of LLMs
by: Borah, Angana, et al.
Published: (2025)

MAiDE-up: Multilingual Deception Detection of GPT-generated Hotel Reviews
by: Ignat, Oana, et al.
Published: (2024)

The Curious Case of Curiosity across Human Cultures and LLMs
by: Borah, Angana, et al.
Published: (2025)

MTMCS-Bench: Evaluating Contextual Safety of Multimodal Large Language Models in Multi-Turn Dialogues
by: Liu, Zheyuan, et al.
Published: (2026)

EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis
by: Liu, Zhiwei, et al.
Published: (2024)