Tianxing Wu

Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph

Debate-on-Graph (DoG) is proposed, a new framework that enables LLMs and UKGs to collaborate adaptively for reliable reasoning and introduces a Multi-Agent Debate mechanism, which yields reliable answers through adaptive adversarial debates, aiming to fully exploit the knowledge in UKGs while preserving the reliability of retrieved evidence.