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arXiv:2506.02491v3 Announce Type: replace Abstract: Recently, Ko\c{c} proposed a neat and efficient algorithm for computing \[ x = a^{-1} \pmod {p^k} \] for a prime...
arXiv:2506.02520v3 Announce Type: replace Abstract: We study Nash equilibrium problems with mixed-integer variables in which each player solves a mixed-integer optimization problem parameterized by the...
arXiv:2506.03410v2 Announce Type: replace Abstract: We consider model reduction of large-scale multi-input, multi-output (MIMO) systems using tangential interpolation in the frequency domain. Our scheme is...
arXiv:2506.05339v3 Announce Type: replace Abstract: Language models serve as proxies for human preference judgements in alignment and evaluation, yet they exhibit systematic miscalibration, prioritizing superficial...
arXiv:2506.05634v2 Announce Type: replace Abstract: Quality-Diversity (QD) algorithms have shown remarkable success in discovering diverse, high-performing solutions, but rely heavily on hand-crafted behavioral descriptors that...
arXiv:2506.05937v2 Announce Type: replace Abstract: Reliability of deep learning models is critical for deployment in high-stakes applications, where out-of-distribution or adversarial inputs may lead to...
arXiv:2506.08321v2 Announce Type: replace Abstract: This paper considers the development of an AI-based provably-correct mathematical proof tutor. While Large Language Models (LLMs) allow seamless communication...
arXiv:2506.08380v2 Announce Type: replace Abstract: This paper introduces two variational inference approaches for infinite-dimensional inverse problems, developed through gradient descent with a constant learning rate....
arXiv:2506.08584v3 Announce Type: replace Abstract: Medical question answering (QA) benchmarks often focus on multiple-choice or fact-based tasks, leaving open-ended answers to real patient questions underexplored....
arXiv:2506.09669v4 Announce Type: replace Abstract: It is important for Large Language Models (LLMs) to be aware of the boundary of their knowledge, distinguishing queries they...
arXiv:2506.13107v3 Announce Type: replace Abstract: Causal forests estimate how treatment effects vary across individuals, guiding personalized interventions in areas like marketing, operations, and public policy....
arXiv:2506.13150v4 Announce Type: replace Abstract: We propose a new Bayesian approach to generalize the federated Alternating Direction Method of Multipliers (ADMM). We show that the...
arXiv:2506.14543v2 Announce Type: replace Abstract: In this paper we consider the numerical approximation of a semilinear reaction-diffusion model problem (PDEs) by means of reduced order...
arXiv:2506.15963v2 Announce Type: replace Abstract: Sparse autoencoders (SAEs) have recently emerged as a powerful tool for interpreting the features learned by large language models (LLMs)....
arXiv:2506.17896v2 Announce Type: replace Abstract: Egocentric vision is essential for both human and machine visual understanding, particularly in capturing the detailed hand-object interactions needed for...
arXiv:2506.18243v2 Announce Type: replace Abstract: Spanning 7-24 GHz, frequency range 3 (FR3), is a key enabler for next-generation wireless networks by bridging the coverage of...
arXiv:2506.18703v3 Announce Type: replace Abstract: Neural sequence-to-sequence systems deliver state-of-the-art performance for automatic speech recognition. When using appropriate modeling units, e.g., byte-pair encoding, these systems...
arXiv:2506.19796v2 Announce Type: replace Abstract: In this paper, we develop algorithms for computing the recurrence coefficients corresponding to multiple orthogonal polynomials on the step-line. We...
arXiv:2506.22576v4 Announce Type: replace Abstract: This paper introduces a new method for solving the planar heat equation based on the Lightning Method. The lightning method...
arXiv:2507.02751v3 Announce Type: replace Abstract: The growing demand for oriented object detection (OOD) across various domains has driven significant research in this area. However, the...
arXiv:2507.05695v3 Announce Type: replace Abstract: Diffusion policies are a powerful paradigm for robot learning, but their training is often inefficient. A key reason is that...
arXiv:2507.06625v3 Announce Type: replace Abstract: Model Predictive Control (MPC) enables reliable trajectory optimization under dynamics constraints, but often depends on accurate dynamics models and carefully...
arXiv:2507.07847v2 Announce Type: replace Abstract: Retrieval-Augmented Generation (RAG) has emerged as a crucial framework in natural language processing (NLP), improving factual consistency and reducing hallucinations...
arXiv:2507.08492v3 Announce Type: replace Abstract: Document image dewarping remains a challenging task in the deep learning era. While existing methods have improved by leveraging text...