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Paper

Code-Switching Reveals Language Anchoring in Multilingual LLMs

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AI summary

arXiv:2606. 19668v1 Announce Type: new Abstract: Multilingual Large Language Models (MLLMs) are increasingly expected to handle Code-Switched (CS) inputs, yet mixing languages frequently degrades performance relative to source- or target-language monolingual counterparts.