Projecting LLM hidden states onto F2 algebra with 42 pairs yields 93% zero-shot accuracy on logical relations and identifies prompt-preventable late-layer collapse.
Language models as knowledge bases? In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp.\ 2463--2473, 2019
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Controlling Logical Collapse in LLMs via Algebraic Ontology Projection over F2
Projecting LLM hidden states onto F2 algebra with 42 pairs yields 93% zero-shot accuracy on logical relations and identifies prompt-preventable late-layer collapse.