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