Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs.
Hongru WangRui WangFei MiYang DengZezhong WangBin LiangRuifeng XuKam-Fai WongPublished in: EMNLP (Findings) (2023)
Keyphrases
- interactive question answering
- natural language
- depth information
- dialogue system
- mixed initiative
- answer questions
- human machine
- depth map
- high quality
- subject matter
- follow up questions
- spoken dialogue
- dialogue management
- question answer
- conversational agent
- open questions
- machine learning
- visual cues
- d objects
- case study
- computer vision
- information retrieval