two-stage-training

Proposes AgentKGV, an agentic LLM-RAG framework with two-stage training (distillation SFT and trajectory-level GRPO) for verifying facts in knowledge graphs, achieving significant improvements on the T-REx benchmark while reducing retrieval calls.