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shanchen/aime_2024_multilingual

When Models Reason in Your Language: Controlling Thinking Trace Language Comes at the Cost of Accuracy https://arxiv.org/abs/2505.22888 Jirui Qi, Shan Chen, Zidi Xiong, Raquel Fernández, Danielle S. Bitterman, Arianna Bisazza Recent Large Reasoning Models (LRMs) with thinking traces have shown strong performance on English reasoning tasks. However, their ability to think in other languages is less studied. This capability is as important as answer accuracy for real world applications because… See the full description on the dataset page: https://huggingface.co/datasets/shanchen/aime_2024_multilingual.

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