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arXiv:2508.15308v4 Announce Type: replace Abstract: Sequential recommendation aims to predict a user's next action in large-scale recommender systems. While traditional methods often suffer from insufficient...
arXiv:2508.16822v2 Announce Type: replace Abstract: Representing vector fields by potentials can be a challenging task in domains with cavities or tunnels, due to the presence...
arXiv:2508.17276v2 Announce Type: replace Abstract: This paper proposes a model order reduction method for a class of parametric dynamical systems. Using a temporal Fourier transform,...
arXiv:2508.19819v2 Announce Type: replace Abstract: Gradient inversion attacks are often presented as a serious privacy threat in federated learning, with recent work reporting increasingly strong...
arXiv:2508.19945v3 Announce Type: replace Abstract: We present an inverse dynamic game-based algorithm to learn parametric constraints from a given dataset of local Nash equilibrium interactions...
arXiv:2508.20033v2 Announce Type: replace Abstract: The ability to research and synthesize knowledge is central to human expertise and progress. A new class of AI systems--designed...
arXiv:2509.00036v2 Announce Type: replace Abstract: Diffusion models deliver state-of-the-art generative performance across diverse modalities but remain computationally expensive due to their inherently iterative sampling process....
arXiv:2509.00462v3 Announce Type: replace Abstract: As artificial intelligence (AI) tools become widely adopted, large language models (LLMs) are increasingly involved on both sides of decision-making...
arXiv:2509.00560v2 Announce Type: replace Abstract: Recent success of graph neural networks (GNNs) in modeling complex graph-structured data has fueled interest in deploying them on resource-constrained...
arXiv:2509.01082v2 Announce Type: replace Abstract: Probabilistic programming offers a powerful framework for modeling uncertainty, yet statistical model discovery in this domain entails navigating an immense...
arXiv:2509.02986v3 Announce Type: replace Abstract: In recent years, wheeled bipedal robots have garnered significant attention due to their exceptional mobility on flat terrain. However, while...
arXiv:2509.03417v2 Announce Type: replace Abstract: Kolmogorov-Arnold Networks (KANs) are a recently introduced neural architecture that replace fixed nonlinearities with trainable activation functions, offering enhanced flexibility...
arXiv:2509.05009v3 Announce Type: replace Abstract: We first extend the results of Chatterjee,Kumar,Shi,Volk(Computational Complexity 2022) by showing that the degree $d$ elementary symmetric polynomials in $n$...
arXiv:2509.05614v2 Announce Type: replace Abstract: Pruning is a typical acceleration technique for compute-bound models by removing computation on unimportant values. Recently, it has been applied...
arXiv:2509.07177v2 Announce Type: replace Abstract: Large language models have demonstrated impressive capabilities across various domains. However, their general-purpose nature often limits their effectiveness in specialized...
arXiv:2509.07286v2 Announce Type: replace Abstract: Given a stream $x_1,x_2,\dots,x_n$ of items from a Universe $U$ of size poly$(n)$, and a parameter $\epsilon>0$, an item $i\in...
arXiv:2509.07820v2 Announce Type: replace Abstract: Large reasoning language models are typically run with fixed inference budgets, which can waste computation or terminate reasoning prematurely. We...
arXiv:2509.08444v2 Announce Type: replace Abstract: Expressive glyph visualizations provide a powerful and versatile means to represent complex multivariate data through compact visual encodings, but creating...
arXiv:2509.08790v2 Announce Type: replace Abstract: We introduce discontinuous spectral-element methods of arbitrary order that are well balanced, conservative of mass, and conservative or dissipative of...
arXiv:2509.10625v2 Announce Type: replace Abstract: Do large language models (LLMs) anticipate when they will answer correctly? To study this, we extract activations after a question...
arXiv:2509.10652v2 Announce Type: replace Abstract: Generative AI is reshaping product design practices through "vibe coding", where product team members express intent in natural language and...
arXiv:2509.10776v2 Announce Type: replace Abstract: Social media feeds use predictive models to maximize engagement, often misaligning how people consume content with how they wish to....
arXiv:2509.10782v4 Announce Type: replace Abstract: Generative artificial intelligence (GenAI) is rapidly entering K-12 classrooms worldwide, initiating urgent debates about its potential to either reduce or...
arXiv:2509.11125v2 Announce Type: replace Abstract: Deploying visual reinforcement learning (RL) policies in real-world manipulation is often hindered by camera viewpoint changes. A policy trained from...