activity
20232025
most citedRevisiting Disentanglement and Fusion on Modality and Context in Conversational Multimodal Emotion Recognition

17 citations · 55 across the 22 of their papers we have counts for

collaborators

19 papers

cs.MM2025

Towards Multimodal Empathetic Response Generation: A Rich Text-Speech-Vision Avatar-based Benchmark

Han Zhang, Zixiang Meng, Meng Luo +4

Empathetic Response Generation (ERG) is one of the key tasks of the affective computing area, which aims to produce emotionally nuanced and compassionate responses to user's querie…

cs.MM20242 cited

EmpathyEar: An Open-source Avatar Multimodal Empathetic Chatbot

Hao Fei, Han Zhang, Bin Wang +3

This paper introduces EmpathyEar, a pioneering open-source, avatar-based multimodal empathetic chatbot, to fill the gap in traditional text-only empathetic response generation (ERG…

cs.CL20242 cited

Planning Like Human: A Dual-process Framework for Dialogue Planning

Tao He, Lizi Liao, Yixin Cao +4

In proactive dialogue, the challenge lies not just in generating responses but in steering conversations toward predetermined goals, a task where Large Language Models (LLMs) typic…

cs.CL2024

Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding

Zhihan Zhang, Yixin Cao, Chenchen Ye +3

The digital landscape is rapidly evolving with an ever-increasing volume of online news, emphasizing the need for swift and precise analysis of complex events. We refer to the comp…

cs.IR20243 cited

Towards Human-centered Proactive Conversational Agents

Yang Deng, Lizi Liao, Zhonghua Zheng +2

Recent research on proactive conversational agents (PCAs) mainly focuses on improving the system's capabilities in anticipating and planning action sequences to accomplish tasks an…

cs.CL202413 cited

Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers

Libo Qin, Qiguang Chen, Yuhang Zhou +6

Multilingual Large Language Models are capable of using powerful Large Language Models to handle and respond to queries in multiple languages, which achieves remarkable success in…