AI RESEARCH
Relational Linear Properties in Language Models: An Empirical Investigation
arXiv CS.LG
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ArXi:2605.22532v1 Announce Type: new Linear properties are ubiquitous in the representations of language models; however, testing them experimentally remains a challenging task. This work focuses on relational linearity: the hypothesis that, for a fixed relation (e.g., "plays"), the unembedding of an object (e.g., "trumpet") can be predicted from the embedding of its subject (e.g.,"Miles Davis") by a linear map. We present an experimental method to test the formulation of relational linearity by Marconato. Specifically, we.