4 papers
Visualizing Dialogues: Enhancing Image Selection through Dialogue Understanding with Large Language Models
Chang-Sheng Kao, Yun-Nung Chen
Recent advancements in dialogue systems have highlighted the significance of integrating multimodal responses, which enable conveying ideas through diverse modalities rather than s…
DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging
Tzu-Han Lin, Chen-An Li, Hung-yi Lee +1
Reinforcement learning from human feedback (RLHF) is a popular strategy for aligning large language models (LLMs) with desired behaviors. Reward modeling is a crucial step in RLHF.…
Injecting Salesperson's Dialogue Strategies in Large Language Models with Chain-of-Thought Reasoning
Wen-Yu Chang, Yun-Nung Chen
Recent research in dialogue systems and corpora has focused on two main categories: task-oriented (TOD) and open-domain (chit-chat) dialogues. TOD systems help users accomplish spe…
SalesBot 2.0: A Human-Like Intent-Guided Chit-Chat Dataset
Wen-Yu Chang, Yun-Nung Chen
In recent research on dialogue systems and corpora, there has been a significant focus on two distinct categories: task-oriented (TOD) and open-domain (chit-chat) dialogues. TOD sy…