Reverse-Process Synthetic Data Generation for Math Reasoning
Training LLMs on mathematical reasoning by inverting easy-to-solve problems: generate derivatives, reverse them into integration exercises with full step-by-step solutions.
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Training LLMs on mathematical reasoning by inverting easy-to-solve problems: generate derivatives, reverse them into integration exercises with full step-by-step solutions.
A functorial framework that lifts algebraic structures into the encrypted domain, enabling secure computation that preserves mathematical properties.
A mathematical framework that treats language models as algebraic objects with compositional structure.
A C++ library for composable hash functions using algebraic structure over XOR, with template metaprogramming.
An R package that treats MLEs as algebraic objects. They carry Fisher information, compose through independent likelihoods, and propagate uncertainty correctly.
An R package that treats probability distributions as algebraic objects. They compose through standard operations. The algebra preserves distributional structure.
The same GCD algorithm works for integers and polynomials because both are Euclidean domains. One structure, many types, same algorithms.
Integers modulo N form a ring, an algebraic structure that determines which algorithms apply. Understanding this structure unlocks algorithms from cryptography to competitive programming.