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A new completeness estimation approach is introduced that quantifies the degree of sentiment-relevant information preserved in incomplete data to guide the reconstruction of missing semantics and enables more accurate semantic reconstruction, leading to more precise sentiment prediction.
Achieve over an order of magnitude speedup in 3D Gaussian Splatting by adaptively scaling Gaussians based on their color contribution, without sacrificing visual fidelity.
Ditching the standard autoregressive approach lets molecular LLMs generate more chemically valid and structurally coherent molecules.
