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arXiv:2602.14770v2 Announce Type: replace Abstract: Prior work has explored multi-turn interaction and feedback for LLM writing, but evaluations still largely center on prompts and localized...
arXiv:2602.15019v2 Announce Type: replace Abstract: Bio-pharmaceutical innovation has shifted: many new drug assets now originate outside the United States and are disclosed primarily via regional,...
arXiv:2207.10216v3 Announce Type: replace-cross Abstract: To address feasibility issues in model predictive control (MPC), most implementations relax state constraints by using slack variables and adding...
arXiv:2406.06707v2 Announce Type: replace-cross Abstract: This paper proposes a sparse regression strategy for discovery of ordinary differential equations from incomplete and noisy data. Inference is...
arXiv:2501.11816v3 Announce Type: replace-cross Abstract: Modular and networked quantum architectures can scale beyond the qubit count of a single device, but executing a circuit across...
arXiv:2502.07397v2 Announce Type: replace-cross Abstract: Linear bandits have long been a central topic in online learning, with applications ranging from recommendation systems to adaptive clinical...
arXiv:2503.15130v2 Announce Type: replace-cross Abstract: In both neuroscience and artificial intelligence, popular functional frameworks and neural network formulations operate by making use of extrinsic error...
arXiv:2505.05736v2 Announce Type: replace-cross Abstract: The scarcity of high-quality multimodal biomedical data limits the ability to effectively fine-tune pretrained Large Language Models (LLMs) for specialized...
arXiv:2505.11914v2 Announce Type: replace-cross Abstract: This paper proposes a novel proximal difference-of-convex (DC) algorithm enhanced with extrapolation and aggressive non-monotone line search for solving non-convex...
arXiv:2505.12933v3 Announce Type: replace-cross Abstract: In this article we describe the formalisation of the Bruhat-Tits tree - an important tool in modern number theory -...
arXiv:2506.04891v3 Announce Type: replace-cross Abstract: Hardware-efficient circuits employed in Quantum Machine Learning are typically composed of alternating layers of uniformly applied gates. High-speed numerical simulators...
arXiv:2507.16641v3 Announce Type: replace-cross Abstract: A reinforcement learning (RL) framework is introduced for the efficient synthesis of quantum circuits that generate specified target quantum states...
arXiv:2507.22535v4 Announce Type: replace-cross Abstract: We show new constructions for pseudorandom quantum states (PRS) and pseudorandom function-like quantum state (PRFS) generators satisfying scalability, which means...
arXiv:2508.11060v2 Announce Type: replace-cross Abstract: We propose a Buckley James (BJ) Boost Q learning framework for estimating optimal dynamic treatment regimes from right censored survival...
arXiv:2509.02594v2 Announce Type: replace-cross Abstract: Evaluating large language models (LLMs) on their ability to generate high-quality, accurate, situationally aware answers to clinical questions requires going...
arXiv:2509.08535v2 Announce Type: replace-cross Abstract: The substantial data volumes encountered in modern particle physics and other domains of fundamental physics research allow (and require) the...
arXiv:2509.14461v3 Announce Type: replace-cross Abstract: We initiate the study of quantum agnostic learning of phase states with respect to a function class $\mathsf{C}\subseteq \{c:\{0,1\}^n\rightarrow \{0,1\}\}$:...
arXiv:2510.00759v5 Announce Type: replace-cross Abstract: We prove that $\mathrm{H}\mathbb{N}(3,n)=\mathrm{U}$ for some fixed $n$. The core result is a uniform primitive recursive compiler from sentence codes...
arXiv:2510.02595v3 Announce Type: replace-cross Abstract: Lubrication theory makes use of the assumptions of a long and thin fluid domain and a small scaled Reynolds number...
arXiv:2510.17886v2 Announce Type: replace-cross Abstract: We consider tensor factorizations based on sparse measurements of the components of relatively high rank tensors. The measurements are designed...
arXiv:2511.14624v2 Announce Type: replace-cross Abstract: Robophysics investigates the physical principles that govern living-like robots operating in complex, realworld environments. Despite remarkable technological advances, robots continue...
arXiv:2512.07329v3 Announce Type: replace-cross Abstract: Transition state or minimum energy path finding methods constitute a routine component of the computational chemistry toolkit. Standard analysis involves...
arXiv:2601.16427v2 Announce Type: replace-cross Abstract: Exact recovery in stochastic block models (SBMs) is well understood in undirected settings, but remains considerably less developed for directed...
arXiv:2602.10452v2 Announce Type: replace-cross Abstract: This paper studies distributed online convex optimization with time-varying coupled constraints, motivated by distributed online control in network systems. Most...