LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...

Without a clear view of where sensitive data lives, who can access it and how it moves, blind spots can quickly turn into ...

Abstract: Full-waveform inversion (FWI) strongly depends on an accurate starting model to succeed. This is particularly true in the elastic regime: The cycle-skipping phenomenon is more severe in ...

European households have become more sensitive to the financial consequences of the Iran war, ECB researchers found. March data showed that consumers revised inflation expectations upwards by 2.5 ...

hThe Norwegian Arthroplasty Register, Department of Orthopaedics, Haukeland University Hospital, Bergen, Norway iDepartment of Orthopaedics, University of Bergen, Norway qKaiser Permanente National ...

As you can see, several stragglers made it aboard the Extrapolation Chamber. A few relievers who operated as openers snuck on, such as Drew Pomeranz and Brant Hurter. We have recent retirees, ...

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Scaling generative AI models is bottlenecked by the scarcity of high-quality training data. The ease of synthesizing from a generative model suggests using (unverified) synthetic data to augment a ...

New approach methodologies (NAMs) are rapidly being developed to help improve the speed of risk assessment and reduce the use of animals. In vitro to in vivo extrapolation (IVIVE) is necessary to ...

All required and optional dependencies can be found in pyproject.toml. To help run calculations, analysis, and the application, we provide the ml_peg command line ...