22 citations · 43 across the 4 of their papers we have counts for
4 papers
Leveraging Large Language Models in Conversational Recommender Systems
Luke Friedman, Sameer Ahuja, David Allen +10
A Conversational Recommender System (CRS) offers increased transparency and control to users by enabling them to engage with the system through a real-time multi-turn dialogue. Rec…
Parsing Birdsong with Deep Audio Embeddings
Irina Tolkova, Brian Chu, Marcel Hedman +2
Monitoring of bird populations has played a vital role in conservation efforts and in understanding biodiversity loss. The automation of this process has been facilitated by both s…
Identifying Decision Points for Safe and Interpretable Reinforcement Learning in Hypotension Treatment
Kristine Zhang, Yuanheng Wang, Jianzhun Du +4
Many batch RL health applications first discretize time into fixed intervals. However, this discretization both loses resolution and forces a policy computation at each (potentiall…
Visualizing Residual Networks
Brian Chu, Daylen Yang, Ravi Tadinada
Residual networks are the current state of the art on ImageNet. Similar work in the direction of utilizing shortcut connections has been done extremely recently with derivatives of…