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Domain-specific visual tasks get a 13.51% performance boost in LVLMs thanks to a new codebook-anchored adaptation method that decouples vision encoder tuning from the language model.
LLM benchmark accuracy jumps 10% when evaluated on a cleaned-up version of Humanity's Last Exam, highlighting the significant impact of dataset noise on performance metrics.
