Latest AI/ML News
9894 articles · arXiv cs.LG
arXiv:2610.08533v1 Announce Type: cross Abstract: Geometric alignment scores based on Gram determinants provide a compact way to model higher-order co…
arXiv:2610.08502v1 Announce Type: cross Abstract: Proactive power management systems reduce processor dynamic power through runtime power prediction a…
arXiv:2610.08495v1 Announce Type: cross Abstract: Machine learning can accelerate molecular discovery by designing molecules and planning experiments.…
arXiv:2610.08463v1 Announce Type: cross Abstract: Long-context inference and Retrieval-Augmented Generation (RAG) handle evidence selection at vastly…
arXiv:2610.08452v1 Announce Type: cross Abstract: Retrieval-augmented generation (RAG) is a widely used approach for grounding large language models (…
arXiv:2610.08413v1 Announce Type: cross Abstract: Large language models routinely answer questions that cannot be answered from the information given,…
arXiv:2610.08345v1 Announce Type: cross Abstract: Using a replica-symmetric high-dimensional characterization, we develop an inferential framework for…
arXiv:2610.08341v1 Announce Type: cross Abstract: Recent training-free pruning approaches for Multimodal Large Language Models (MLLMs) effectively cut…
arXiv:2610.08337v1 Announce Type: cross Abstract: Public redispatch records provide empirical data for grid congestion forecasting, but delayed report…
arXiv:2610.08314v1 Announce Type: cross Abstract: Linear regression and kernel smoothing offer tractable explanations of in-context learning: in both,…
arXiv:2610.08312v1 Announce Type: cross Abstract: Continual learning (CL) is essential for Large Language Models (LLMs) to sequentially adapt to evolv…
arXiv:2610.08292v1 Announce Type: cross Abstract: Many two-sample tests for populations of persistence diagrams assess global differences without iden…
arXiv:2610.08277v1 Announce Type: cross Abstract: Deciding whether two samples come from the same distribution is a classical problem in statistics, a…
arXiv:2610.08268v1 Announce Type: cross Abstract: Pervasive intelligent applications are increasingly deployed on mobile and Internet of Things (IoT)…
arXiv:2610.08246v1 Announce Type: cross Abstract: Frontier large language models (LLMs) can generate heuristic functions that guide search to achieve…
arXiv:2610.08227v1 Announce Type: cross Abstract: Machine learning classifiers for remote sensing imagery are typically evaluated as though every pixe…
arXiv:2610.08210v1 Announce Type: cross Abstract: For a given data distribution $(X_t)_{t \in \mathbb{N}} \sim Q$ i.i.d., we investigate the hypothesi…
arXiv:2610.08183v1 Announce Type: cross Abstract: Multi-task manipulation policies differ in architecture, scale, and pretrained priors all at once, s…
arXiv:2610.08176v1 Announce Type: cross Abstract: Decentralized learning is highly sensitive to communication topology under non-IID data. Adaptive pe…
arXiv:2610.08173v1 Announce Type: cross Abstract: Automated Program Repair (APR) with language models is usually evaluated by whether a generated patc…