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Polynomial preconditioning can significantly enhance LLM training stability and performance without adding inference overhead.
Urban trajectory generation is a multi-objective challenge where no single model can dominate all performance metrics, revealing critical trade-offs in generative approaches.
Draft-OPD accelerates inference by over 5x while improving speculative decoding accuracy, transforming how draft models learn from target feedback.
