Cover Image

FEEL: A Framework for Evaluating Emotional Support Capability with Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Huaiwen, Chen, Yu, Wang, Ming, Feng, Shi
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models
by: Gu, Yiyang, et al.
Published: (2026)

ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models
by: Zhao, Haiquan, et al.
Published: (2024)

Detecting Emotional Dynamic Trajectories: An Evaluation Framework for Emotional Support in Language Models
by: Tan, Zhouxing, et al.
Published: (2025)

Evaluating the Capabilities of Large Language Models for Multi-label Emotion Understanding
by: Belay, Tadesse Destaw, et al.
Published: (2024)

Evaluating Accounting Reasoning Capabilities of Large Language Models
by: Zhou, Jie, et al.
Published: (2026)

Evaluating the Generation Capabilities of Large Chinese Language Models
by: Zeng, Hui, et al.
Published: (2023)

Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation
by: Kang, Dongjin, et al.
Published: (2024)

T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step
by: Chen, Zehui, et al.
Published: (2023)

Enhancing Emotional Generation Capability of Large Language Models via Emotional Chain-of-Thought
by: Li, Zaijing, et al.
Published: (2024)

NewsBench: A Systematic Evaluation Framework for Assessing Editorial Capabilities of Large Language Models in Chinese Journalism
by: Li, Miao, et al.
Published: (2024)

ZPD Detector: Data Selection via Capability-Difficulty Alignment for Large Language Models
by: Yang, Bo, et al.
Published: (2026)

TReB: A Comprehensive Benchmark for Evaluating Table Reasoning Capabilities of Large Language Models
by: Li, Ce, et al.
Published: (2025)

RoCar: A Relationship Network-based Evaluation Method for Large Language Models
by: Wang, Ming, et al.
Published: (2023)

Improving Natural Language Capability of Code Large Language Model
by: Li, Wei, et al.
Published: (2024)

HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models
by: Que, Haoran, et al.
Published: (2024)

ClinDEF: A Dynamic Evaluation Framework for Large Language Models in Clinical Reasoning
by: Tang, Yuqi, et al.
Published: (2025)

CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios
by: Huang, Shiting, et al.
Published: (2025)

CDT: A Comprehensive Capability Framework for Large Language Models Across Cognition, Domain, and Task
by: Mo, Haosi, et al.
Published: (2025)

LangGPT: Rethinking Structured Reusable Prompt Design Framework for LLMs from the Programming Language
by: Wang, Ming, et al.
Published: (2024)

RAD-Bench: Evaluating Large Language Models Capabilities in Retrieval Augmented Dialogues
by: Kuo, Tzu-Lin, et al.
Published: (2024)

Steering Conversational Large Language Models for Long Emotional Support Conversations
by: Madani, Navid, et al.
Published: (2024)

Chain of Strategy Optimization Makes Large Language Models Better Emotional Supporter
by: Zhao, Weixiang, et al.
Published: (2025)

A Benchmark Dataset and Evaluation Framework for Vietnamese Large Language Models in Customer Support
by: Nguyen, Long S. T., et al.
Published: (2025)

UNO Arena for Evaluating Sequential Decision-Making Capability of Large Language Models
by: Qin, Zhanyue, et al.
Published: (2024)

EmotionQueen: A Benchmark for Evaluating Empathy of Large Language Models
by: Chen, Yuyan, et al.
Published: (2024)

Mixture-of-Agents Enhances Large Language Model Capabilities
by: Wang, Junlin, et al.
Published: (2024)

A Survey on Multi-Turn Interaction Capabilities of Large Language Models
by: Zhang, Chen, et al.
Published: (2025)

CityBench: Evaluating the Capabilities of Large Language Models for Urban Tasks
by: Feng, Jie, et al.
Published: (2024)

BattleAgentBench: A Benchmark for Evaluating Cooperation and Competition Capabilities of Language Models in Multi-Agent Systems
by: Wang, Wei, et al.
Published: (2024)

Mind's Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language Models
by: Liu, Weize, et al.
Published: (2023)

Synergizing LLMs with Global Label Propagation for Multimodal Fake News Detection
by: Hu, Shuguo, et al.
Published: (2025)

Proverbs Run in Pairs: Evaluating Proverb Translation Capability of Large Language Model
by: Wang, Minghan, et al.
Published: (2025)

Mixed Chain-of-Psychotherapies for Emotional Support Chatbot
by: Chen, Siyuan, et al.
Published: (2024)

MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models
by: Kwan, Wai-Chung, et al.
Published: (2024)

Language-Specific Representation of Emotion-Concept Knowledge Causally Supports Emotion Inference
by: Li, Ming, et al.
Published: (2023)

Evaluating Consistency and Reasoning Capabilities of Large Language Models
by: Saxena, Yash, et al.
Published: (2024)

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models
by: Xing, Bohao, et al.
Published: (2025)

RECKON: Large-scale Reference-based Efficient Knowledge Evaluation for Large Language Model
by: Zhang, Lin, et al.
Published: (2025)

Modeling Multiple Support Strategies within a Single Turn for Emotional Support Conversations
by: Zhu, Jie, et al.
Published: (2026)

Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models
by: Zeng, Bo, et al.
Published: (2025)