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arXiv:2507.20997v3 Announce Type: replace Abstract: In real-world machine learning deployments, models must be continually updated, composed, and when required, selectively undone. However, existing approaches to...
arXiv:2507.23465v3 Announce Type: replace Abstract: As large language models (LLMs) are increasingly deployed in enterprise settings, controlling model behavior based on user roles becomes an...
arXiv:2507.23641v2 Announce Type: replace Abstract: In this paper we introduce a rank $2$ lattice over a polynomial ring arising from the public key of the...
arXiv:2508.00017v3 Announce Type: replace Abstract: We present Generative Logic (GL), a deterministic architecture that starts from user-supplied axiomatic definitions, written in a minimalist Mathematical Programming...
arXiv:2508.02066v2 Announce Type: replace Abstract: Large Language Models (LLMs) have shown impressive performance across various domains, but their ability to perform molecular reasoning remains underexplored....
arXiv:2508.02943v2 Announce Type: replace Abstract: With the ubiquitous deployment of web services, ensuring data confidentiality has become a challenging imperative. Fully Homomorphic Encryption (FHE) presents...
arXiv:2508.03111v3 Announce Type: replace Abstract: Graph Edit Distance (GED) is defined as the minimum cost transformation of one graph into another and is a widely...
arXiv:2508.05612v5 Announce Type: replace Abstract: Reinforcement learning (RL) has emerged as an effective post-training paradigm for enhancing the reasoning capabilities of multimodal large language model...
arXiv:2508.06199v4 Announce Type: replace Abstract: Pretrained neural networks have attracted significant interest in chemistry and small molecule drug design. Embeddings from these models are widely...
arXiv:2508.07087v2 Announce Type: replace Abstract: We introduce SQL-Exchange, a framework for mapping SQL queries across different database schemas by preserving the source query structure while...
arXiv:2508.08134v4 Announce Type: replace Abstract: While recent flow-based image editing models demonstrate general-purpose capabilities across diverse tasks, they often struggle to specialize in challenging scenarios...
arXiv:2508.08540v3 Announce Type: replace Abstract: Most parallel neural network training methods assume homogeneous computing resources. For example, synchronous data-parallel SGD suffers from significant synchronization overhead...
arXiv:2508.10139v3 Announce Type: replace Abstract: Employing isomorphisms between their ambient rings, we propose new definitions of equivalence and isometry for skew polycyclic codes that will...
arXiv:2508.11449v2 Announce Type: replace Abstract: We introduce Craig interpolation and related notions such as uniform interpolation, Beth definability, and theory decomposition in classical propositional logic....
arXiv:2508.11915v2 Announce Type: replace Abstract: Game-theoretic interactions between agents with Large Language Models (LLMs) have revealed many emergent capabilities, yet the linguistic diversity of these...
arXiv:2508.12713v2 Announce Type: replace Abstract: Communication barriers pose significant challenges for individuals with hearing and speech impairments, often limiting their ability to effectively interact in...
arXiv:2508.12904v2 Announce Type: replace Abstract: We devise and analyse a novel $\boldsymbol{H}(\textbf{curl})$-reconstruction operator for piecewise polynomial fields on shape-regular simplicial meshes. The (non-polynomial) reconstruction is...
arXiv:2508.14734v3 Announce Type: replace Abstract: In many real-world scenarios, acquiring all features of a data instance can be expensive or impractical due to monetary cost,...
arXiv:2508.15228v2 Announce Type: replace Abstract: 3D content inherently encompasses multi-modal characteristics and can be projected into different modalities (e.g., RGB images, RGBD, and point clouds)....
arXiv:2508.15483v3 Announce Type: replace Abstract: Political language is deeply intertwined with social identities. While social identities are often shaped by specific cultural contexts and expressed...
arXiv:2508.19073v3 Announce Type: replace Abstract: GPUs running deep learning (DL) workloads are frequently underutilized. Collocating multiple DL training tasks on the same GPU can improve...
arXiv:2509.00168v2 Announce Type: replace Abstract: Convolution algebras on maps from structures such as monoids, groups or categories into semirings, rings or fields abound in mathematics...
arXiv:2509.00497v2 Announce Type: replace Abstract: The trajectory data of traffic participants (TPs) is a fundamental resource for evaluating traffic conditions and optimizing policies, especially at...
arXiv:2509.01531v3 Announce Type: replace Abstract: The Zarantonello fixed-point iteration is an established linearization scheme for quasilinear PDEs with strongly monotone and Lipschitz continuous nonlinearity in...