When Models Reason in Your Language: Controlling Thinking Language Comes at the Cost of Accuracy (2025.findings-emnlp)
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| Challenge: | Recent Large Reasoning Models (LRMs) with thinking traces have shown strong performance on English reasoning tasks. |
| Approach: | They evaluate two leading LRMs with thinking traces on established benchmark XReasoning and propose directions for future research. |
| Outcome: | The proposed models often revert to English or produce fragmented reasoning in other languages, revealing a substantial gap in the capability of thinking in non-English languages. |
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