arXiv:2508.11584v2 Announce Type: replace-cross Abstract: Deploying multiple machine learning models on resource-constrained robotic platforms for different perception tasks often results…
arXiv:2508.11836v1 Announce Type: new Abstract: World models are defined as a compressed spatial and temporal learned representation of an environment.…
arXiv:2508.11379v1 Announce Type: cross Abstract: We introduce G-CUT3R, a novel feed-forward approach for guided 3D scene reconstruction that enhances the…
arXiv:2508.11383v1 Announce Type: cross Abstract: Large Language Models (LLMs) are highly sensitive to subtle, non-semantic variations in prompt phrasing and…
arXiv:2508.10557v2 Announce Type: replace-cross Abstract: Post-Training Quantization (PTQ) and Quantization-Aware Training (QAT) represent two mainstream model quantization approaches. However, PTQ…
arXiv:2508.10976v1 Announce Type: new Abstract: ASPIC+ is one of the main general frameworks for rule-based argumentation for AI. Although first-order…
arXiv:2508.09991v2 Announce Type: replace-cross Abstract: Automating data extraction from clinical documents offers significant potential to improve efficiency in healthcare settings,…
