32 citations · 101 across the 16 of their papers we have counts for
6 papers · 1 filter
Improving Conversational Recommendation Systems' Quality with Context-Aware Item Meta Information
Bowen Yang, Cong Han, Yu Li +2
Conversational recommendation systems (CRS) engage with users by inferring user preferences from dialog history, providing accurate recommendations, and generating appropriate resp…
Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation
Yu Li, Baolin Peng, Yelong Shen +4
Knowledge-grounded dialogue systems are challenging to build due to the lack of training data and heterogeneous knowledge sources. Existing systems perform poorly on unseen topics…
The R-U-A-Robot Dataset: Helping Avoid Chatbot Deception by Detecting User Questions About Human or Non-Human Identity
David Gros, Yu Li, Zhou Yu
Humans are increasingly interacting with machines through language, sometimes in contexts where the user may not know they are talking to a machine (like over the phone or a text c…
Towards Emotional Support Dialog Systems
Siyang Liu, Chujie Zheng, Orianna Demasi +5
Emotional support is a crucial ability for many conversation scenarios, including social interactions, mental health support, and customer service chats. Following reasonable proce…
LEGOEval: An Open-Source Toolkit for Dialogue System Evaluation via Crowdsourcing
Yu Li, Josh Arnold, Feifan Yan +2
We present LEGOEval, an open-source toolkit that enables researchers to easily evaluate dialogue systems in a few lines of code using the online crowdsource platform, Amazon Mechan…
DEUX: An Attribute-Guided Framework for Sociable Recommendation Dialog Systems
Yu Li, Shirley Anugrah Hayati, Weiyan Shi +1
It is important for sociable recommendation dialog systems to perform as both on-task content and social content to engage users and gain their favor. In addition to understand the…