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arXiv:2603.04512v2 Announce Type: replace Abstract: We investigate preservation results for the independent fusion of one-variable first-order modal logics. We show that, without equality, Kripke completeness...
arXiv:2603.04672v2 Announce Type: replace Abstract: Physics-informed neural networks (PINNs) are a versatile tool in the burgeoning field of scientific machine learning for solving partial differential...
arXiv:2603.04756v2 Announce Type: replace Abstract: MOOSEnger is a tool-enabled AI agent tailored to the Multiphysics Object-Oriented Simulation Environment (MOOSE). MOOSE cases are specified in HIT...
arXiv:2603.04873v2 Announce Type: replace Abstract: Accurate time series forecasting underpins decision-making across domains, yet conventional ML development suffers from data scarcity in new deployments, poor...
arXiv:2603.04897v2 Announce Type: replace Abstract: Qualitative analysis of open-ended interviews plays a central role in ethnographic and economic research by uncovering individuals' values, motivations, and...
arXiv:2603.04992v2 Announce Type: replace Abstract: The safety evaluation of large language models (LLMs) remains largely centered on English, leaving non-English languages and culturally grounded risks...
arXiv:2603.05035v2 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly served on shared accelerators where an adversary with read access to device memory can...
arXiv:2603.05078v2 Announce Type: replace Abstract: Reconstructing dynamic 4D scenes remains challenging due to the presence of moving objects that corrupt camera pose estimation. Existing optimization...
arXiv:2603.05097v2 Announce Type: replace Abstract: Recent advances in geometric foundation models have emerged as a promising alternative for addressing the challenge of dense reconstruction in...
arXiv:2603.05272v2 Announce Type: replace Abstract: We present the Multilingual Cloud Corpus, the first national-scale, parallel, multimodal linguistic dataset of Bangladesh's ethnic and indigenous languages. Despite...
arXiv:2603.05355v2 Announce Type: replace Abstract: The deployment of humanoid robots for dexterous manipulation in unstructured environments remains challenging due to perceptual limitations that constrain the...
arXiv:2603.05404v2 Announce Type: replace Abstract: ROScopter is a lean multirotor autopilot built for researchers. ROScopter seeks to accelerate simulation and hardware testing of research code...
arXiv:2603.05497v2 Announce Type: replace Abstract: Traditional safety-critical control methods, such as control barrier functions, suffer from semantic blindness, exhibiting the same behavior around obstacles regardless...
arXiv:2603.05504v2 Announce Type: replace Abstract: Scaling imitation learning is fundamentally constrained by the efficiency of data collection. While handheld interfaces have emerged as a scalable...
arXiv:2404.00806v5 Announce Type: replace-cross Abstract: We conduct experiments with algorithmic pricing agents based on Large Language Models (LLMs). In oligopoly settings, LLM-based pricing agents quickly...
arXiv:2404.15158v4 Announce Type: replace-cross Abstract: We study the monotonicity of information costs: more informative experiments must be more costly. As criteria for informativeness, we consider...
arXiv:2405.16861v3 Announce Type: replace-cross Abstract: Recent remarkable advancements in geometric deep generative models, coupled with accumulated structural data, enable structure-based drug design (SBDD) using only...
arXiv:2409.08119v3 Announce Type: replace-cross Abstract: Farkas established that a system of linear inequalities has a solution if and only if we cannot obtain a contradiction...
arXiv:2411.00911v2 Announce Type: replace-cross Abstract: Seismic exploration remains the most critical method for characterizing subsurface structures in geophysics. However, complex surface conditions often cause a...
arXiv:2501.10672v3 Announce Type: replace-cross Abstract: We explore connections between homotopy type theory and information theory through homotopy cardinality. We define probability types and random variable...
arXiv:2501.14273v2 Announce Type: replace-cross Abstract: While LLM-based TTS models exhibit zero-shot emotion and speaker cloning, their cloning fidelity and pronunciation clarity degrade on unseen domains....
arXiv:2503.16264v2 Announce Type: replace-cross Abstract: Image and video quality metrics, such as SSIM, LPIPS, and VMAF, aim to predict perceived visual quality and are often...
arXiv:2505.02614v2 Announce Type: replace-cross Abstract: This paper focuses on applying entropic mirror descent to solve linear systems, where the main challenge for the convergence analysis...
arXiv:2505.15283v2 Announce Type: replace-cross Abstract: This article studies a general divide-and-conquer algorithm for approximating continuous one-dimensional probability distributions with finite mean. The article presents a...