arXiv cs.CL
· Papers
RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems
arXiv:2607.29241v1 Announce Type: cross Abstract: Optimizing modern recommender models still depends heavily on engineers manually iterating over architectural, objective, and training-strategy changes. While LLM-based agents can automate this trial-and-error process, allowing the LLM to both select modification direct