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A structured evidence-state approach can boost omni-modal QA accuracy by over 30%, transforming how agents gather and validate information across diverse sources.
Exact sampling in large-vocabulary decoding can be sped up by 19% simply by fusing it into the LM-head matmul, turning a bandwidth bottleneck into a lightweight epilogue.
