3 citations · 6 across the 8 of their papers we have counts for
8 papers
GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring
Xinyi Duan, Yuanrong Tang, Jiangtao Gong
The performance of language models is commonly limited by insufficient knowledge and constrained reasoning. Prior approaches such as Retrieval-Augmented Generation (RAG) and Chain-…
Human Tool: An MCP-Style Framework for Human-Agent Collaboration
Yuanrong Tang, Huiling Peng, Bingxi Zhao +5
Human-AI collaboration faces growing challenges as AI systems increasingly outperform humans on complex tasks, while humans remain responsible for orchestration, validation, and de…
Evaluating Text-based Conversational Agents for Mental Health: A Systematic Review of Metrics, Methods and Usage Contexts
Jiangtao Gong, Xiao Wen, Fengyi Tao +3
Text-based conversational agents (CAs) are increasingly used in mental health, yet evaluation practices remain fragmented. We conducted a PRISMA-guided systematic review (May-June…
CoIRL-AD: Collaborative-Competitive Imitation-Reinforcement Learning in Latent World Models for Autonomous Driving
Xiaoji Zheng, Ziyuan Yang, Yanhao Chen +5
End-to-end autonomous driving models trained with imitation learning (IL) often generalize poorly, particularly in long-tail scenarios where expert demonstrations are sparse. Reinf…
CA+: Cognition Augmented Counselor Agent Framework for Long-term Dynamic Client Engagement
Yuanrong Tang, Yu Kang, Yifan Wang +3
Current AI counseling systems struggle with maintaining effective long-term client engagement. Through formative research with counselors and a systematic literature review, we ide…
COLP: Scaffolding Children's Online Long-term Collaborative Learning
Siyu Zha, Yuanrong Tang, Jiangtao Gong +1
Online collaborative learning and working are important for everyone including children. However, children still face a lot of difficulties communicating and working together while…
An LLM-based Simulation Framework for Embodied Conversational Agents in Psychological Counseling
Lixiu Wu, Yuanrong Tang, Qisen Pan +6
Due to privacy concerns, open dialogue datasets for mental health are primarily generated through human or AI synthesis methods. However, the inherent implicit nature of psychologi…
Large Language Models Powered Context-aware Motion Prediction in Autonomous Driving
Xiaoji Zheng, Lixiu Wu, Zhijie Yan +5
Motion prediction is among the most fundamental tasks in autonomous driving. Traditional methods of motion forecasting primarily encode vector information of maps and historical tr…