Fisher-information-guided margin refinement reorganizes the Voronoi tessellation of an LLM's latent space to raise median token margins by 28% with no benchmark degradation, though gains concentrate on high-frequency structural tokens.
However, damage escalates super-linearly withλ_MRP, making the method destructive aboveλ_MRP≈0.3
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Geometric Properties of the Voronoi Tessellation in Latent Semantic Manifolds of Large Language Models
Fisher-information-guided margin refinement reorganizes the Voronoi tessellation of an LLM's latent space to raise median token margins by 28% with no benchmark degradation, though gains concentrate on high-frequency structural tokens.