ARGOS: Who, Where, and When in Agentic Multi-Camera Person Search
The episode discusses the ARGOS paper, which addresses information asymmetry in multi-camera person search. It introduces an agentic system that uses domain-specific tools and a four-module LLM backbone to make informed decisions about what information to seek next, moving beyond simple inference.