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arXiv:2509.03531v2 Announce Type: replace Abstract: Large language models are now routinely used in high-stakes applications where hallucinations can cause serious harm, such as medical consultations...
arXiv:2509.04661v2 Announce Type: replace Abstract: Understanding how animals learn is a central challenge in neuroscience, with growing relevance to the development of animal- or human-aligned...
arXiv:2509.06505v2 Announce Type: replace Abstract: The generative adversarial network (GAN) aims to approximate an unknown distribution via a parameterized neural network (NN). While GANs have...
arXiv:2509.06690v2 Announce Type: replace Abstract: Bioprinting is a rapidly advancing field that offers a transformative approach to fabricating tissue and organ models through the precise...
arXiv:2509.10555v2 Announce Type: replace Abstract: Vision-language pre-training (VLP) offers unique advantages for surgery by aligning language with surgical videos, enabling workflow understanding and transfer across...
arXiv:2509.11059v3 Announce Type: replace Abstract: Sedentary behavior is a critical health risk for older adults. Although digital interventions are widely available, they primarily rely on...
arXiv:2509.11298v2 Announce Type: replace Abstract: The preference optimization literature contains many proposed objectives, often presented as distinct improvements. We introduce Opal, a canonicalization algorithm that...
arXiv:2509.13646v3 Announce Type: replace Abstract: Humans think visually-we remember in images, dream in pictures, and use visual metaphors to communicate. Yet, most creative writing tools...
arXiv:2509.15013v2 Announce Type: replace Abstract: In this paper, we continue the study of Maximally Recoverable (MR) Grid Codes initiated by Gopalan et al. [SODA 2017]....
arXiv:2509.15434v3 Announce Type: replace Abstract: Social media platforms are increasingly adopting features that display crowdsourced context alongside posts, a technique pioneered by X's Community Notes....
arXiv:2509.15602v4 Announce Type: replace Abstract: Multimodal large language models (MLLMs) excel at general video understanding but struggle with fast, high-frequency sports like tennis, where rally...
arXiv:2509.16295v4 Announce Type: replace Abstract: Open digital public infrastructure needs community management to ensure accountability, sustainability, and robustness. Yet open-source projects often rely on centralized...
arXiv:2509.18001v4 Announce Type: replace Abstract: Sharpness-aware minimization (SAM) has emerged as a highly effective technique to improve model generalization, but its underlying principles are not...
arXiv:2509.19391v3 Announce Type: replace Abstract: Low-Rank Adaptation (LoRA) is widely used to efficiently adapt Transformers by adding trainable low-rank matrices to attention projections. While effective,...
arXiv:2509.20900v3 Announce Type: replace Abstract: Long document summarization remains a significant challenge for current large language models (LLMs), as existing approaches commonly struggle with information...
arXiv:2509.21004v2 Announce Type: replace Abstract: Flight trajectory prediction for multiple aircraft is essential and provides critical insights into how aircraft navigate within current air traffic...
arXiv:2509.21293v2 Announce Type: replace Abstract: Recourse provides individuals who received undesirable labels (e.g., denied a loan) from algorithmic decision-making systems with a minimum-cost improvement suggestion...
arXiv:2509.21681v3 Announce Type: replace Abstract: Most of the literature of computational geometry concerns geometric properties of sets of static points. M.J. Atallah introduced dynamic computational...
arXiv:2509.21818v2 Announce Type: replace Abstract: Sharpness-Aware Minimization (SAM) is widely used to seek flatter minima -- often linked to better generalization. In its standard implementation,...
arXiv:2509.21950v2 Announce Type: replace Abstract: Recently, Multimodal Large Language Models (MLLMs) have achieved exceptional performance across diverse tasks, continually surpassing previous expectations regarding their capabilities....
arXiv:2509.22352v2 Announce Type: replace Abstract: Survival analysis is a cornerstone of clinical research by modeling time-to-event outcomes such as metastasis, disease relapse, or patient death....
arXiv:2509.22650v2 Announce Type: replace Abstract: Most existing approaches to referring segmentation achieve strong performance only through fine-tuning or by composing multiple pre-trained models, often at...
arXiv:2509.24073v4 Announce Type: replace Abstract: Conversational agents have been studied as tools to scaffold planning and self-reflection for productivity and well-being. While prior work has...
arXiv:2509.24494v3 Announce Type: replace Abstract: Group Relative Policy Optimization (GRPO) trains Chain-of-Thought reasoning with verifiable rewards, but estimating thought-level advantages without value functions often suffers...