arXiv:2610.15322v2 Announce Type: replace-cross
Abstract: Enabling the reuse and composition of knowledge and capabilities distributed across foundation models is an important step toward building…
arXiv:2505.12010v5 Announce Type: replace-cross
Abstract: In federated learning (FL), a center trains a shared model from updates that clients compute on their private data. Collecting and training…
arXiv:2606.22278v2 Announce Type: replace-cross
Abstract: Ensuring safety of learning-enabled robotic manipulation across diverse embodiments and tasks still requires significant manual engineering….
arXiv:2610.16622v1 Announce Type: cross
Abstract: With the advancement in language modeling, research on adversarial images has recently shifted from image classifiers to vision-language models…
arXiv:2609.06079v4 Announce Type: replace
Abstract: Vision-Language-Action (VLA) policies leverage pretrained vision-language models (VLMs) to guide action generation for robot control. VLMs provide…
arXiv:2610.18166v1 Announce Type: cross
Abstract: Randomly initialised neural networks of width $m$ converge to Gaussian processes as $m to infty$, with two types of quantitative bounds…
arXiv:2610.15957v1 Announce Type: cross
Abstract: Transformer models trained on symbolic music have become remarkably capable. However, it is yet unclear how they represent music structure, and…
arXiv:2610.14571v1 Announce Type: cross
Abstract: Large Language Model (LLM) inference is driving a growing share of datacenter carbon emissions. Although carbon-aware scheduling can reduce these…
arXiv:2510.05023v2 Announce Type: replace
Abstract: Langevin-based Thompson Sampling (TS) methods for multi-armed bandits use likelihood gradients to approximate posterior samples when exact…
arXiv:2412.13844v2 Announce Type: replace-cross
Abstract: Retrieval models for recommendation need to account for outcomes such as watch time while searching large item corpora efficiently. We…