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arXiv:2510.22293v3 Announce Type: replace Abstract: Background and Aims: Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) affects 30-40% of U.S. adults and is the most common chronic...
arXiv:2510.22500v2 Announce Type: replace Abstract: As artificial intelligence (AI) systems approach and surpass expert human performance across a broad range of tasks, obtaining high-quality human...
arXiv:2510.22620v2 Announce Type: replace Abstract: AI agents powered by large language models (LLMs) are being deployed at scale, yet we lack a systematic understanding of...
arXiv:2510.24332v2 Announce Type: replace Abstract: Purpose: Surgical scene understanding is key to advancing computer-aided and intelligent surgical systems. Current approaches predominantly rely on visual data...
arXiv:2510.24527v2 Announce Type: replace Abstract: We derive parameter-robust quasi-optimal error estimates for mixed finite element methods for the nonlinear Darcy--Forchheimer equations with mixed boundary conditions....
arXiv:2510.24694v2 Announce Type: replace Abstract: LLM-based search agents are increasingly trained on entity-centric synthetic data to solve complex, knowledge-intensive tasks. However, prevailing training methods like...
arXiv:2510.25664v3 Announce Type: replace Abstract: Narayanan showed the existence of the principal partition sequence of a submodular function, a structure with numerous applications in areas...
arXiv:2510.26069v3 Announce Type: replace Abstract: Text prompt is the most common way for human-generative AI (GenAI) communication. Though convenient, it is challenging to convey fine-grained...
arXiv:2510.26784v2 Announce Type: replace Abstract: We investigate the mechanisms underlying a range of list-processing tasks in LLMs, and we find that LLMs have learned to...
arXiv:2510.27219v2 Announce Type: replace Abstract: Hyperspectral imaging (HSI) is a critical technique for fine-grained land-use and land-cover (LULC) mapping. However, the inherent heterogeneity of HSI...
arXiv:2511.02565v2 Announce Type: replace Abstract: Subject-agnostic brain decoding, which aims to reconstruct continuous visual experiences from fMRI without subject-specific training, holds great potential for clinical...
arXiv:2511.03475v3 Announce Type: replace Abstract: AI applications increasingly depend on long-context inference, where LLMs consume substantial context to support stronger reasoning. Common examples include retrieval-augmented...
arXiv:2511.05722v2 Announce Type: replace Abstract: Large language models (LLMs) such as GPT-5 and Gemini 3 have pushed the frontier of automated reasoning and code generation....
arXiv:2511.05926v3 Announce Type: replace Abstract: State-space models (SSMs) have recently emerged as efficient alternatives to computationally intensive architectures such as Transformers for sequence modeling. However,...
arXiv:2511.08261v2 Announce Type: replace Abstract: Passive acoustic monitoring enables large-scale biodiversity assessment, but reliable classification of bioacoustic sounds requires not only high accuracy but also...
arXiv:2511.11851v2 Announce Type: replace Abstract: The rapid proliferation of pretrained models and open repositories has made model merging a convenient yet risky practice, allowing free-riders...
arXiv:2511.12370v3 Announce Type: replace Abstract: Online Scene Change Detection (SCD) is an extremely challenging problem that requires an agent to detect relevant changes on the...
arXiv:2511.16030v2 Announce Type: replace Abstract: 3D Gaussian Splatting (3DGS) has recently emerged as an efficient, high-fidelity representation for real-time scene reconstruction and rendering. However, extending...
arXiv:2511.16156v2 Announce Type: replace Abstract: Diffusion Transformers (DiTs) have shown exceptional performance in image generation, yet their large parameter counts incur high computational costs, impeding...
arXiv:2511.17844v3 Announce Type: replace Abstract: Fine-tuning large-scale text-to-video diffusion models to add new generative controls, such as those over physical camera parameters (e.g., shutter speed...
arXiv:2511.18719v3 Announce Type: replace Abstract: Reinforcement learning (RL) has become a powerful tool for post-training visual generative models, with Group Relative Policy Optimization (GRPO) increasingly...
arXiv:2511.19884v2 Announce Type: replace Abstract: This work addresses electric vehicle (EV) charging station placement through a bi-level optimization model, where the upper-level planner maximizes net...
arXiv:2511.23055v2 Announce Type: replace Abstract: Theory of Mind (ToM) refers to the ability to infer others' mental states, such as beliefs, desires, and intentions. Current...
arXiv:2512.00711v2 Announce Type: replace Abstract: Semantic communication can significantly improve bandwidth utilization in wireless systems by exploiting the meaning behind raw data. However, the advancements...