CyrillicQA: the influence of phonetically encoded secret language on LLM performance
Read the original at arxiv.org→arXiv:2608.21462v1 Announce Type: new Abstract: Due to the selection of their training data, large language models (LLMs) perform best on standard-language inputs from languages using the Latin alphabet with large...
Original headline: "CyrillicQA: The Influence of Phonetically Encoded Secret Language on LLM Performance"
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- Aug 25, 04:00 UTC arXiv cs.CL lead source CyrillicQA: The Influence of Phonetically Encoded Secret Language on LLM Performance