2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 2 cited
Multimodal Multi-loss Fusion Network for Sentiment Analysis
Zehui Wu, Ziwei Gong, Jaywon Koo +1
This paper investigates the optimal selection and fusion of feature encoders across multiple modalities and combines these in one neural network to improve sentiment detection. We…
cs.CL2022★ 1 cited
DialGuide: Aligning Dialogue Model Behavior with Developer Guidelines
Prakhar Gupta, Yang Liu, Di Jin +6
Dialogue models are able to generate coherent and fluent responses, but they can still be challenging to control and may produce non-engaging, unsafe results. This unpredictability…
cs.CL2022
Understanding How People Rate Their Conversations
Alexandros Papangelis, Nicole Chartier, Pankaj Rajan +2
User ratings play a significant role in spoken dialogue systems. Typically, such ratings tend to be averaged across all users and then utilized as feedback to improve the system or…