What Drives Compositional Generalization in Visual Generative Models?
arXiv:2510.03075v2 Announce Type: replace-cross Abstract: Compositional generalization, the ability to generate novel combinations of known concepts, is a key ingredient…
arXiv:2510.03075v2 Announce Type: replace-cross Abstract: Compositional generalization, the ability to generate novel combinations of known concepts, is a key ingredient…
arXiv:2510.04484v1 Announce Type: cross Abstract: The ability to control LLMs’ emulated emotional states and personality traits is essential for enabling…
arXiv:2510.04477v1 Announce Type: cross Abstract: Bridging clinical diagnostic reasoning with AI remains a central challenge in medical imaging. We introduce…
arXiv:2510.02610v2 Announce Type: replace-cross Abstract: Existing feature filters rely on statistical pair-wise dependence metrics to model feature-target relationships, but this…
arXiv:2510.02418v1 Announce Type: new Abstract: LLM web agents now browse and take actions on the open web, yet current agent…
arXiv:2510.02120v2 Announce Type: replace-cross Abstract: Accounting for inter-individual variability in brain function is key to precision medicine. Here, by considering…
arXiv:2510.02945v1 Announce Type: cross Abstract: Continual reinforcement learning (continual RL) seeks to formalize the notions of lifelong learning and endless…
arXiv:2510.02922v1 Announce Type: cross Abstract: Reliable risk assessment for carotid atheromatous disease remains a major clinical challenge, as it requires…
arXiv:2510.01812v2 Announce Type: replace-cross Abstract: Singing voice generation progresses rapidly, yet evaluating singing quality remains a critical challenge. Human subjective…
arXiv:2510.01253v1 Announce Type: new Abstract: Large language models (LLMs) demonstrate strong mathematical reasoning, but reliance on closed-source APIs for OR…