arXiv:2604.00225v1 Announce Type: cross
Abstract: Establishing a precise connection between imaged intensity and the incident wavefront is essential for emerging applications in adaptive optics, holography, computational microscopy, and non-line-of-si…
arXiv:2604.00715v1 Announce Type: new
Abstract: Retrieval-augmented generation (RAG) improves language model (LM) performance by providing relevant context at test time for knowledge-intensive situations. However, the relationship between parametric k…
arXiv:2510.05097v2 Announce Type: replace-cross
Abstract: Treating human motion and camera trajectory generation separately overlooks a core principle of cinematography: the tight interplay between actor performance and camera work in the screen space…
arXiv:2603.17205v2 Announce Type: replace-cross
Abstract: Domain-specific finetuning is essential for dense retrievers, yet not all training pairs contribute equally to the learning process. We introduce OPERA, a data pruning framework that exploits t…
arXiv:2604.00704v1 Announce Type: cross
Abstract: Large-scale web applications are widely deployed with complex third-party components, inheriting security risks arising from component vulnerabilities. Security assessment is therefore required to dete…
arXiv:2508.11216v2 Announce Type: replace-cross
Abstract: Blood flow imaging provides important information for hemodynamic behavior within the vascular system and plays an essential role in medical diagnosis and treatment planning. However, obtaining…
arXiv:2604.00175v1 Announce Type: cross
Abstract: Postural stability during movement is fundamental to independent living, fall prevention, and overall health, particularly among older adults who experience age-related declines in balance, muscle stre…
arXiv:2603.11558v3 Announce Type: replace-cross
Abstract: Vision-Language-Action (VLA) systems have shown strong potential for language-driven robotic manipulation. However, scaling them to long-horizon tasks remains challenging. Existing pipelines ty…
arXiv:2604.00698v1 Announce Type: cross
Abstract: Group Relative Policy Optimization (GRPO) is widely used for reinforcement learning with verifiable rewards, but it often suffers from advantage collapse: when all rollouts in a group receive the same …
arXiv:2505.04959v2 Announce Type: replace-cross
Abstract: This study presents an unsupervised, motion-resolved reconstruction framework for high-resolution, free-breathing pulmonary magnetic resonance imaging (MRI), utilizing a three-dimensional Gauss…