ARMOR

Researchers propose ARMOR (Anchor Rollout and Mixed Optimization for RL) to address reinforcement learning's over-optimization problem, which causes models to exploit training shortcuts and sacrifice …

ARMOR, a new method for retrieval-augmented generation in telecom question answering, prioritizes retriever-side tuning over generator adaptation, showing significant performance gains on benchmarks. …