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Fully Automated Identification of Lexical Alignment and Preference-Stage Shifts in Large Language Models

Thomas Stephan Juzek, Xiaoyang Ming, Jose A. Hernandez
Jun 3, 2026 at 04:00
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arXiv:2606.03165v1 Announce Type: cross Abstract: The language used by digital chat assistants such as ChatGPT can diverge from human expectations (misalignment). Research, mostly on Scientific English, has described both what divergences occur and, to some extent, why, linking them to the training stage of human preference learning. Yet,...

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