2 papers
cs.IR2026
Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity
Anjun Hu, Hanting Xie, Saranya Govindan +2
Multi-agent collaborative filtering (CF) systems coordinate autonomous LLM-powered user and item agents through natural-language interaction to refine preferences and generate reco…
cs.LG2023
Inherently Interpretable Time Series Classification via Multiple Instance Learning
Joseph Early, Gavin KC Cheung, Kurt Cutajar +3
Conventional Time Series Classification (TSC) methods are often black boxes that obscure inherent interpretation of their decision-making processes. In this work, we leverage Multi…