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Imperfect diffusion models can now achieve exact target distribution sampling at inference time by correcting inherent path and endpoint errors.
EvoMaster achieves unprecedented performance in autonomous scientific discovery, outperforming traditional frameworks by up to 316%.
LLM training is bottlenecked by ad-hoc data preparation and static dataset usage, motivating a shift towards automated, dynamic data management systems.
MLIPs get a boost: Mixture-of-Experts architectures unlock state-of-the-art accuracy and chemically interpretable insights in interatomic modeling.