Latest AI/ML News
8160 articles · arXiv cs.AI
arXiv:2610.04758v1 Announce Type: cross Abstract: Machine-learning classification is now used across medicine, the social sciences, economics, educati…
arXiv:2610.04753v2 Announce Type: cross Abstract: Autoregressive generation in Large Language Models (LLMs) is constrained by the memory and computati…
arXiv:2610.04741v1 Announce Type: cross Abstract: Force-aware manipulation typically relies on specialized force or tactile sensors. We show that forc…
arXiv:2610.04721v1 Announce Type: cross Abstract: Structural diagrams are widely used to represent complex systems and relational information across s…
arXiv:2610.04716v1 Announce Type: cross Abstract: Logging code supports debugging, monitoring, and software maintenance, but excessive logging can add…
arXiv:2610.04710v1 Announce Type: cross Abstract: Methods for assessing language-model agents include rule checkers over logs, analyses of skill cover…
arXiv:2610.04706v1 Announce Type: cross Abstract: People write and sketch while speaking to explain, organize, and develop content together. Inspired…
arXiv:2610.04705v1 Announce Type: cross Abstract: Automated neurodevelopmental assessment increasingly combines computer vision, speech, eye tracking,…
arXiv:2610.04676v1 Announce Type: cross Abstract: Large Language Models (LLMs) can adopt distinct personas to tune their semantics, expertise, and per…
arXiv:2610.04658v1 Announce Type: cross Abstract: Large language model (LLM) agents increasingly reuse prior experience, but most approaches assume th…
arXiv:2610.04651v1 Announce Type: cross Abstract: Neural audio codecs compress waveforms into compact discrete tokens that underpin speech language mo…
arXiv:2610.04638v1 Announce Type: cross Abstract: Actor-critic methods reuse past experience to improve sample efficiency. However, historical data ar…
arXiv:2610.04605v1 Announce Type: cross Abstract: Many visual explanation methods in computer vision highlight pixel importance but struggle to link t…
arXiv:2610.04588v1 Announce Type: cross Abstract: Molecular property prediction is central to computational drug discovery, where graph neural network…
arXiv:2610.04575v1 Announce Type: cross Abstract: Activation probes can predict safety-relevant properties of language models with high area under the…
arXiv:2610.04572v1 Announce Type: cross Abstract: Precise constraint satisfaction is a prerequisite to deploying learned models in many areas, motivat…
arXiv:2610.04559v1 Announce Type: cross Abstract: External causal reports can improve structure learning from limited observations, but their reliabil…
arXiv:2610.04553v1 Announce Type: cross Abstract: The long observational record of He I 10830 {\AA} offers a means to investigate solar morphology bef…
arXiv:2610.04533v1 Announce Type: cross Abstract: Weight decay is widely used as a regularization technique in neural network training, yet its role i…
arXiv:2610.04528v1 Announce Type: cross Abstract: In August and September 2026, independent researchers publicly documented an unusual incident: thous…