Rethinking Structured Generation: Can Graph-Based Reasoning Resolve Ambiguity?

Researchers propose reformulating structured generation as an ambiguity-aware inference problem, using a multi-valid learning framework that preserves ambiguity during optimization and performs selection via graph-based reasoning over semantic alignment and relational consistency.