Cover Image

Emotional Supporters often Use Multiple Strategies in a Single Turn

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bai, Xin, Chen, Guanyi, He, Tingting, Zhou, Chenlian, Liu, Yu
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

When Seekers Are Hard to Help: Evaluating Emotional Support Dialogue Systems in Worst-Case Interactions
by: Yang, Jiajie, et al.
Published: (2026)

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

How Much Do LLMs Know About Chinese Zero Pronouns?
by: Li, Yifei, et al.
Published: (2026)

Mitigating Strategy Preference Bias in Emotional Support Conversation via Uncertainty Estimations
by: Zhou, Yougen, et al.
Published: (2025)

Do Large Language Models Judge Error Severity Like Humans?
by: Sun, Diege, et al.
Published: (2025)

On the Robustness of Knowledge Editing for Detoxification
by: Dong, Ming, et al.
Published: (2026)

How Do People Quantify Naturally: Evidence from Mandarin Picture Description
by: Zhang, Yayun, et al.
Published: (2026)

CCNU at SemEval-2025 Task 3: Leveraging Internal and External Knowledge of Large Language Models for Multilingual Hallucination Annotation
by: Liu, Xu, et al.
Published: (2025)

Auditing Support Strategies in LLMs through Grounded Multi-Turn Social Simulation
by: Star, Michelle, et al.
Published: (2026)

DecoupledESC: Enhancing Emotional Support Generation via Strategy-Response Decoupled Preference Optimization
by: Zhang, Chao, et al.
Published: (2025)

Computational Modelling of Plurality and Definiteness in Chinese Noun Phrases
by: Liu, Yuqi, et al.
Published: (2024)

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

Learning an Efficient Multi-Turn Dialogue Evaluator from Multiple LLM Judges
by: Tang, Yuqi, et al.
Published: (2025)

Can Language Models Follow Multiple Turns of Entangled Instructions?
by: Han, Chi, et al.
Published: (2025)

EmoDynamiX: Emotional Support Dialogue Strategy Prediction by Modelling MiXed Emotions and Discourse Dynamics
by: Wan, Chenwei, et al.
Published: (2024)

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

SocialSim: Towards Socialized Simulation of Emotional Support Conversation
by: Chen, Zhuang, et al.
Published: (2025)

Tailored Emotional LLM-Supporter: Enhancing Cultural Sensitivity
by: Liu, Chen Cecilia, et al.
Published: (2025)

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

Intrinsic Task-based Evaluation for Referring Expression Generation
by: Chen, Guanyi, et al.
Published: (2024)

FEEL: A Framework for Evaluating Emotional Support Capability with Large Language Models
by: Zhang, Huaiwen, et al.
Published: (2024)

How often are errors in natural language reasoning due to paraphrastic variability?
by: Srikanth, Neha, et al.
Published: (2024)

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

ESCoT: Towards Interpretable Emotional Support Dialogue Systems
by: Zhang, Tenggan, et al.
Published: (2024)

Breaking Contextual Inertia: Reinforcement Learning with Single-Turn Anchors for Stable Multi-Turn Interaction
by: Chen, Xingwu, et al.
Published: (2026)

An Effective, Robust and Fairness-aware Hate Speech Detection Framework
by: Mou, Guanyi, et al.
Published: (2024)

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

Note2Chat: Improving LLMs for Multi-Turn Clinical History Taking Using Medical Notes
by: Zhou, Yang, et al.
Published: (2026)

How often do Answers Change? Estimating Recency Requirements in Question Answering
by: Piryani, Bhawna, et al.
Published: (2026)

APTNESS: Incorporating Appraisal Theory and Emotion Support Strategies for Empathetic Response Generation
by: Hu, Yuxuan, et al.
Published: (2024)

Rethinking Stateful Tool Use in Multi-Turn Dialogues: Benchmarks and Challenges
by: Wang, Hongru, et al.
Published: (2025)

JAL-Turn: Joint Acoustic-Linguistic Modeling for Real-Time and Robust Turn-Taking Detection in Full-Duplex Spoken Dialogue Systems
by: Yang, Guangzhao, et al.
Published: (2026)

CauESC: A Causal Aware Model for Emotional Support Conversation
by: Chen, Wei, et al.
Published: (2024)

Emotional Support with LLM-based Empathetic Dialogue Generation
by: Wang, Shiquan, et al.
Published: (2025)

ACT-MNMT Auto-Constriction Turning for Multilingual Neural Machine Translation
by: Dai, Shaojie, et al.
Published: (2024)

SweetieChat: A Strategy-Enhanced Role-playing Framework for Diverse Scenarios Handling Emotional Support Agent
by: Ye, Jing, et al.
Published: (2024)

CARE: Cognitive-reasoning Augmented Reinforcement for Emotional Support Conversation
by: Zhu, Jie, et al.
Published: (2025)

Adaptive Stopping for Multi-Turn LLM Reasoning
by: Zhou, Xiaofan, et al.
Published: (2026)

User-Aware Active Knowledge Acquisition for Emotional Support Dialogue
by: Xu, Mufan, et al.
Published: (2026)

Beyond Single-Turn: A Survey on Multi-Turn Interactions with Large Language Models
by: Li, Yubo, et al.
Published: (2025)