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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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+ ```