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Calibration rankings of LLMs can flip dramatically when accounting for accuracy, challenging long-held beliefs about model performance.
The current RL checkpoint outperforms larger LLMs in redesigning training environments, revealing that iterative learning enhances diagnostic capabilities.
The field of video understanding is rapidly shifting from isolated pipelines to unified models capable of adapting to diverse downstream tasks, demanding a re-evaluation of current approaches.