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Continuous glucose monitors (CGMs) record glucose many times per hour and can be used to forecast short‑term glucose trends. This paper test
This paper studies reinforcement learning (RL) when an agent is allowed to look ahead and see which states would result from any short seque
This paper studies a theoretical version of learning called "language generation in the limit." Imagine you see more and more positive examp
Language models that act as judges now decide what training data to keep, score generated answers, and rank systems on leaderboards. These j
The paper asks a simple but important question: when a language model gives a probability for an event, do its probabilities hang together i
This paper describes a focused post‑training process that made language models much stronger at competitive programming. Competitive program
This paper asks a simple question: when does adding synthetic examples from a generative model actually improve a classifier? The authors de
This paper introduces Facet‑0, a robotic foundation model that predicts and values the contact consequences of its actions. The goal is to g
This paper introduces VBVR-Pro, a testbed that trains and measures “native visual reasoning.” That means the system uses images and videos t
Researchers report a new, slightly better upper bound on the matrix multiplication exponent ω: they show ω < 2.371177, improving the previou