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Sun Yat-sen University
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TC-SOH reduces prediction errors in battery health estimation by over 50% while enhancing model transparency through innovative representation diagnostics.
LLMs can now generate more complete and up-to-date code documentation 3x faster while using 85% fewer tokens, thanks to a novel knowledge graph representation of code repositories.
Stop 3D models from hallucinating structural outliers: Dehallu3D leverages cyclic view consistency to generate more faithful 3D meshes from single images.