ORCA

Researchers introduced ORCA, a two-stage framework using supervised contrastive learning and autoencoders for interpretable anomaly detection at collider experiments, achieving significant sensitivity…

A developer proposes ORCA, a cognitive grammar for LLM agents that defines reusable reasoning patterns called COGITs and SYLLOGs, aiming to make agent behavior more traceable, testable, and portable b…

LLM agents can benefit from a preflight admission system called SYLLOG that evaluates candidate actions before execution, making consequences explicit and routing actions to proceed, clarify, revise, …