AIBullisharXiv – CS AI · Mar 37/103
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Bilinear representation mitigates reversal curse and enables consistent model editing
Researchers have identified that the 'reversal curse' in language models - their inability to infer 'B is A' from 'A is B' - can be overcome through bilinear representation structures. Training models on synthetic relational knowledge graphs creates internal geometries that enable consistent model editing and logical inference of reverse facts.