Outcome-Anchored Credit Reallocation for Agentic Knowledge Graph Question Answering.

arXiv:2610.25384v1 Announce Type: new Abstract: Agentic knowledge graph question answering (KGQA) requires large language models (LLMs) to solve complex questions through multi-turn interactions with a knowledge graph (KG). Outcome-supervised reinforcement lea