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The benchmark constructed in paper [S1-Bench: A Simple Benchmark for Evaluating System 1 Thinking Capability of Large Reasoning Models](https://huggingface.co/papers/2504.10368).
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S1-Bench is a novel benchmark designed to evaluate Large Reasoning Models' performance on simple tasks that favor intuitive *system 1* thinking rather than deliberative *system 2* reasoning.
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S1-Bench comprises 422 question-answer pairs across four major categories and 28 subcategories, balanced with 220 English and 202 Chinese questions.
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The benchmark constructed in paper [S1-Bench: A Simple Benchmark for Evaluating System 1 Thinking Capability of Large Reasoning Models](https://huggingface.co/papers/2504.10368).
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S1-Bench is a novel benchmark designed to evaluate Large Reasoning Models' performance on simple tasks that favor intuitive *system 1* thinking rather than deliberative *system 2* reasoning.
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S1-Bench comprises 422 question-answer pairs across four major categories and 28 subcategories, balanced with 220 English and 202 Chinese questions.
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If you find our work useful, please consider citing our paper:
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```
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@misc{zhang2025s1benchsimplebenchmarkevaluating,
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title={S1-Bench: A Simple Benchmark for Evaluating System 1 Thinking Capability of Large Reasoning Models},
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author={Wenyuan Zhang and Shuaiyi Nie and Xinghua Zhang and Zefeng Zhang and Tingwen Liu},
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year={2025},
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eprint={2504.10368},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2504.10368},
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}
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```
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