Joint Consistency: A Unified Test-Time Aggregation Framework via Energy Minimization
A research paper introduces Joint Consistency, a test-time aggregation framework formulated as a constrained Ising-type energy minimization problem. It integrates independent evaluation signals as external fields and pairwise comparisons as interactions, subsuming existing voting and weighted aggregation methods. The interaction matrix leverages LLM-as-a-judge comparisons with theoretical interpretation under answer-level homogeneity assumptions. An efficient approximation strategy enables practical large-scale test-time aggregation. The paper is published on arXiv under ID 2605.06219.
Key facts
- Joint Consistency is a test-time aggregation framework.
- It is formulated as a constrained Ising-type energy minimization problem.
- Independent evaluation signals act as external fields.
- Pairwise comparisons act as interactions.
- It subsumes existing voting and weighted aggregation methods.
- The interaction matrix uses LLM-as-a-judge comparisons.
- It has theoretical interpretation under answer-level homogeneity assumptions.
- An efficient approximation strategy is developed for large-scale aggregation.
Entities
Institutions
- arXiv