most citedImproving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning

4 citations · 5 across the 2 of their papers we have counts for

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cs.CL2024

Integrative Decoding: Improve Factuality via Implicit Self-consistency

Yi Cheng, Xiao Liang, Yeyun Gong +11

Self-consistency-based approaches, which involve repeatedly sampling multiple outputs and selecting the most consistent one as the final response, prove to be remarkably effective…

cs.CL2024

AutoPal: Autonomous Adaptation to Users for Personal AI Companionship

Yi Cheng, Wenge Liu, Kaishuai Xu +6

Previous research has demonstrated the potential of AI agents to act as companions that can provide constant emotional support for humans. In this paper, we emphasize the necessity…

cs.CL2023

COOPER: Coordinating Specialized Agents towards a Complex Dialogue Goal

Yi Cheng, Wenge Liu, Jian Wang +5

In recent years, there has been a growing interest in exploring dialogues with more complex goals, such as negotiation, persuasion, and emotional support, which go beyond tradition…

cs.CL20224 cited

Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning

Yi Cheng, Wenge Liu, Wenjie Li +5

Providing Emotional Support (ES) to soothe people in emotional distress is an essential capability in social interactions. Most existing researches on building ES conversation syst…

cs.CL20221 cited

"My nose is running.""Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics

Wenge Liu, Yi Cheng, Hao Wang +6

With the rise of telemedicine, the task of developing Dialogue Systems for Medical Diagnosis (DSMD) has received much attention in recent years. Different from early researches tha…