AI RESEARCH

Reviewing the Reviewer: Graph-Enhanced LLMs for E-commerce Appeal Adjudication

arXiv CS.CL

ArXi:2603.19267v1 Announce Type: new Hierarchical review workflows, where a second-tier reviewer (Checker) corrects first-tier (Maker) decisions, generate valuable correction signals that encode why initial judgments failed. However, learning from these signals is hindered by information asymmetry: corrections often depend on verification actions unavailable to Makers or automated systems. We address this challenge by