Latest AI/ML News

9894 articles · arXiv cs.LG

arXiv cs.LGOct 1, 2026

arXiv:2609.38616v1 Announce Type: cross Abstract: While Vision-Language-Action (VLA) models enable flexible action generation, their generalization ac…

arXiv cs.LGOct 1, 2026

arXiv:2609.38609v1 Announce Type: cross Abstract: This note is a technical companion to a previously published preprint describing an Attention Residu…

arXiv cs.LGOct 1, 2026

arXiv:2609.38604v1 Announce Type: cross Abstract: Modern LLM agents increasingly tackle complex tasks through interactive, long-horizon exchanges with…

arXiv cs.LGOct 1, 2026

arXiv:2609.38577v1 Announce Type: cross Abstract: While modern language models demonstrate impressive generative capabilities, they often struggle wit…

arXiv cs.LGOct 1, 2026

arXiv:2609.38561v1 Announce Type: cross Abstract: Zeroth-order optimization methods are essential for solving black-box problems where gradient inform…

arXiv cs.LGOct 1, 2026

arXiv:2609.38552v1 Announce Type: cross Abstract: Public institutions increasingly procure AI systems whose design they cannot inspect or change. In h…

arXiv cs.LGOct 1, 2026

arXiv:2609.38545v1 Announce Type: cross Abstract: Machine-learning signals built from financial text treat what institutions say, and what the media r…

arXiv cs.LGOct 1, 2026

arXiv:2609.38543v1 Announce Type: cross Abstract: Constantly evolving real-world knowledge necessitates models to be updated continuously. Especially…

arXiv cs.LGOct 1, 2026

arXiv:2609.38530v1 Announce Type: cross Abstract: Language models increasingly use architectures that vary attention span and positional encoding acro…

arXiv cs.LGOct 1, 2026

arXiv:2609.38524v1 Announce Type: cross Abstract: We consider estimating the one-step-ahead conditional distribution of a multivariate stochastic proc…

arXiv cs.LGOct 1, 2026

arXiv:2609.38519v1 Announce Type: cross Abstract: Egocentric gaze prediction enables many downstream applications but remains challenging, as human ga…

arXiv cs.LGOct 1, 2026

arXiv:2609.38516v1 Announce Type: cross Abstract: Large language models (LLMs) can now improve themselves by revising the instructions they follow, an…

arXiv cs.LGOct 1, 2026

arXiv:2609.38485v1 Announce Type: cross Abstract: Unified multimodal models (UMMs) train image understanding and autoregressive image generation on sh…

arXiv cs.LGOct 1, 2026

arXiv:2609.38477v1 Announce Type: cross Abstract: Large language models (LLMs) incur substantial storage, memory-bandwidth and energy costs, motivatin…

arXiv cs.LGOct 1, 2026

arXiv:2609.38473v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) is now the standard way to ground Large Language Models (LLMs)…

arXiv cs.LGOct 1, 2026

arXiv:2609.38472v1 Announce Type: cross Abstract: Behavior cloning provides an offline route to autonomous-driving policy learning, but mean-squared-e…

arXiv cs.LGOct 1, 2026

arXiv:2609.38438v1 Announce Type: cross Abstract: Machine learning surrogate models offer a promising path toward accelerating plasma turbulence simul…

arXiv cs.LGOct 1, 2026

arXiv:2609.38403v1 Announce Type: cross Abstract: Whether quantum computation can reduce the amount of data sampled from an unknown probability distri…

arXiv cs.LGOct 1, 2026

arXiv:2609.38402v1 Announce Type: cross Abstract: We introduce C2C (From Codebase to Culprit), a framework for precise bug localization that progressi…

arXiv cs.LGOct 1, 2026

arXiv:2609.38400v1 Announce Type: cross Abstract: Co-speech gestures for robots must adapt not only to speech and embodiment, but also to the workspac…

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