EP334: Fixing AI Hallucinations With Process Rewards

Title: SEVA: Self-Evolving Verification Agent with Process Reward for Fact AttributionSource: http://arxiv.org/abs/2606.29713v1Summary:This paper is foundational for Agentic AI as it introduces a novel Verify-Reflect-Probe-Refine self-evolution loop that enables agents to iteratively self-correct and improve. Furthermore, it addresses a key training bottleneck for multi-component agents by proposing a granular process reward mechanism that prevents reinforcement learning gradient collapse.