Pairwise Reference Alignment as a Model-Level Ordinal Observable 事件

Pairwise Reference Alignment as a Model-Level Ordinal Observable arXiv:2605.30758v1 Announce Type: new Abstract: Pairwise preference data is widely used in language-model evaluation and alignment, often for model ranking, reward modeling, or preference optimization. This note formulates a more basic measurement question: given a reference distribution of pairwise preferences, what model-level quantity is estimated when we test whether a model ranks preferred responses above rejected responses?