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This repository hosts the **CoRe** benchmark, designed to evaluate the reasoning capabilities of large language models on **program analysis tasks** including data dependency, control dependency, and information flow. Each task instance is represented as a structured JSON object with detailed metadata for evaluation and reproduction.
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For scripts, evaluation tools, and detailed instructions on running inference over CoRe, please check out our companion GitHub repository:
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🔗 Website: [https://corebench.github.io/](https://corebench.github.io/)
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🔗 Source code: [https://github.com/CoReBench/CoRe](https://github.com/CoReBench/CoRe)
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This includes:
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- Raw annotation data that could be used to generate various static analysis tasks
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# CoRe: Benchmarking LLMs’ Code Reasoning Capabilities through Static Analysis Tasks
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This repository hosts the **CoRe** benchmark, designed to evaluate the reasoning capabilities of large language models on **program analysis tasks** including data dependency, control dependency, and information flow. Each task instance is represented as a structured JSON object with detailed metadata for evaluation and reproduction.
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For scripts, evaluation tools, and detailed instructions on running inference over CoRe, please check out our companion GitHub repository:
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🔗 Website: [https://corebench.github.io/](https://corebench.github.io/)
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🔗 Source code: [https://github.com/CoReBench/CoRe](https://github.com/CoReBench/CoRe)
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🔗 Paper: (https://arxiv.org/abs/2507.05269)[https://arxiv.org/abs/2507.05269]
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This includes:
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- Raw annotation data that could be used to generate various static analysis tasks
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