6 citations · 9 across the 7 of their papers we have counts for
7 papers
Cognitive World Model for Progressive BDI/E Trajectory Evaluation of Conversational Agents
Minghui Ma, Bin Guo, Hao Wang +4
As LLM-based conversational agents advance toward increasingly open-ended and interaction-intensive scenarios, task completion alone provides an incomplete assessment of their effe…
The Future of Cognitive Strategy-enhanced Persuasive Dialogue Agents: New Perspectives and Trends
Mengqi Chen, Bin Guo, Hao Wang +6
Persuasion, as one of the crucial abilities in human communication, has garnered extensive attention from researchers within the field of intelligent dialogue systems. We humans te…
AdaMEC: Towards a Context-Adaptive and Dynamically-Combinable DNN Deployment Framework for Mobile Edge Computing
Bowen Pang, Sicong Liu, Hongli Wang +6
With the rapid development of deep learning, recent research on intelligent and interactive mobile applications (e.g., health monitoring, speech recognition) has attracted extensiv…
Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review
Hao Wang, Bin Guo, Yating Zeng +5
The intelligent dialogue system, aiming at communicating with humans harmoniously with natural language, is brilliant for promoting the advancement of human-machine interaction in…
Towards information-rich, logical text generation with knowledge-enhanced neural models
Hao Wang, Bin Guo, Wei Wu +1
Text generation system has made massive promising progress contributed by deep learning techniques and has been widely applied in our life. However, existing end-to-end neural mode…
Conditional Text Generation for Harmonious Human-Machine Interaction
Bin Guo, Hao Wang, Yasan Ding +4
In recent years, with the development of deep learning, text generation technology has undergone great changes and provided many kinds of services for human beings, such as restaur…