Preprint
Jul 2026
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.
Peiji Yu, Xin Chen, Tianxing Wu
· 0 citations