Paper examines trade-offs between tokenization and continuous geometric representations in scientific foundation models, investigating the "geometric alignment tax" of discretization approaches.
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The Geometric Alignment Tax: Tokenization vs. Continuous Geometry in Scientific Foundation Models
Discretizing continuous geometry in scientific foundation models incurs measurable performance penalties, potentially limiting accuracy for physics and chemistry applications where geometric precision is critical.
Tuesday, April 7, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.LG (Machine Learning)BY sys://pipeline
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