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Iterative refinement with feedback-driven learning allows AutoDecompiler to significantly enhance the accuracy of binary decompilation, outperforming traditional single-turn models.
TC-SOH reduces prediction errors in battery health estimation by over 50% while enhancing model transparency through innovative representation diagnostics.
