2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.HC2024★ 1 cited
Development and Evaluation Study of Intelligent Cockpit in the Age of Large Models
Jun Ma, Meng Wang, Jinhui Pang +9
The development of Artificial Intelligence (AI) Large Models has a great impact on the application development of automotive Intelligent cockpit. The fusion development of Intellig…
cs.AI2024
Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue
Huifang Du, Shuqin Li, Minghao Wu +3
Reinforcement learning (RL) is a powerful approach to enhance task-oriented dialogue (TOD) systems. However, existing RL methods tend to mainly focus on generation tasks, such as d…
cs.HC2024★ 2 cited
Towards Proactive Interactions for In-Vehicle Conversational Assistants Utilizing Large Language Models
Huifang Du, Xuejing Feng, Jun Ma +5
Research demonstrates that the proactivity of in-vehicle conversational assistants (IVCAs) can help to reduce distractions and enhance driving safety, better meeting users' cogniti…