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This repository contains a pipeline for synthetic differential-equation data generation , and steering-vector training (MoSE) to improve language models on ODE solving.


Repository structure

Directory Purpose
common Shared parsing, prompts, and symbolic comparison used by both generation and steering
generation Equation generator (SymPy → LaTeX), dataset creation with validation, and model prediction/evaluation
steering MoSE (Multi-Steering Experts): per–equation-type steering vectors trained with custom policy gradient or TRL GRPO

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This is repository for paper "Improving Differential Equation Solving in Compact Language Models via Activation Steering and Reinforcement Learning"

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