Scaling Capability in Token Space: An Analysis of Large Vision Language Model

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Model-free Change-Point Detection Using AUC of a Classifier

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BitNet: 1-bit Pre-training for Large Language Models

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On Model Identification and Out-of-Sample Prediction of PCR with Applications to Synthetic Controls

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On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension

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Determine the Number of States in Hidden Markov Models via Marginal Likelihood

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Scaling Capability in Token Space: An Analysis of Large Vision Language Model

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Model-free Change-Point Detection Using AUC of a Classifier

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BitNet: 1-bit Pre-training for Large Language Models

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On Model Identification and Out-of-Sample Prediction of PCR with Applications to Synthetic Controls

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On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension

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Determine the Number of States in Hidden Markov Models via Marginal Likelihood

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Using Splitter Ordering Heuristics to Improve Bisimulation in Probabilistic Model Checking

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A Fully Abstract Model of PCF Based on Extended Addressing Machines

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Parameterized Model-checking of Discrete-Timed Networks and Symmetric-Broadcast Systems

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Advanced Model Consistency Restoration with Higher-Order Short-Cut Rules

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A Formal Model for Polarization under Confirmation Bias in Social Networks

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Quantum Control in the Unitary Sphere: Lambda-S1 and its Categorical Model

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Trakhtenbrot's Theorem in Coq: Finite Model Theory through the Constructive Lens

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Satisfiability and Model Checking for the Logic of Sub-Intervals under the Homogeneity Assumption

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