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University of Science and Technology of China
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Shifting from token-level to step-level optimization could redefine how we train LLMs for complex, multi-turn interactions.
Table reasoning gets a reliability boost: TableMind++ uses uncertainty estimates to prune flawed plans and refine actions, outperforming prior models by synthesizing robust reasoning paths.
