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Technical University of Munich 2 Munich Center for Machine Learning
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LLMs can flip their answers up to 97.3% of the time when faced with counterarguments, revealing a critical instability that accuracy metrics overlook.
Despite advancements in OCR, current models fail to generalize beyond a small set of scripts, often hallucinating characters or producing noise when faced with unfamiliar writing systems.