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# QuestA: Expanding Reasoning Capacity in LLMs via Question Augmentation
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## Highlights
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QuestA introduces **question augmentation** to significantly improve reasoning tasks in large language models (LLMs). By incorporating partial solutions during reinforcement learning (RL) training, QuestA enhances problem-solving capacity and accelerates learning on challenging tasks. Key improvements with **QuestA**:
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# QuestA: Expanding Reasoning Capacity in LLMs via Question Augmentation
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<p align="center">
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| <a href="https://www.arxiv.org/abs/2507.13266"><b>Paper</b></a> | <a href="https://github.com/foreverlasting1202/QuestA/"><b>Documentation</b></a> | <a
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href="https://mercurial-kidney-02d.notion.site/QuestA-Expanding-Reasoning-Capacity-in-LLMs-via-Question-Augmentation-216b21d08abb81a1bcecfe79e7d1e88a"><b>Blog</b></a> | <a
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href="https://huggingface.co/foreverlasting1202/QuestA-Nemotron-1.5B"><b>🤗Models</b></a> | <a
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href="https://huggingface.co/datasets/foreverlasting1202/QuestA"><b>🤗Datas</b></a> | <a
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</p>
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## Highlights
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QuestA introduces **question augmentation** to significantly improve reasoning tasks in large language models (LLMs). By incorporating partial solutions during reinforcement learning (RL) training, QuestA enhances problem-solving capacity and accelerates learning on challenging tasks. Key improvements with **QuestA**:
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