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University of Sydney
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A single adaptive framework can boost the efficiency of zeroth-order optimization by up to 3x without increasing memory usage.
Multi-agent systems get a 6.3% accuracy boost on math problems thanks to a new "rectify-or-reject" pruning method that dynamically filters out bad information at test time.
