Stay updated with the latest research and technology news
arXiv:2601.20043v1 Announce Type: new Abstract: Standard Bayesian Optimization (BO) assumes uniform smoothness across the search space an assumption violated in multi-regime problems such as molecular...
arXiv:2601.20046v1 Announce Type: new Abstract: Metastatic castration-resistant prostate cancer (mCRPC) is a highly aggressive disease with poor prognosis and heterogeneous treatment response. In this work,...
arXiv:2601.20048v1 Announce Type: new Abstract: Today, E-commerce sellers face several key challenges, including difficulties in discovering and effectively utilizing available programs and tools, and struggling...
arXiv:2601.20050v1 Announce Type: new Abstract: In this paper we introduce a mixed virtual element method to approximate the solution for the two dimensional generalized Oseen...
arXiv:2601.20051v1 Announce Type: new Abstract: The rise of chronic diseases related to diet, such as obesity and diabetes, emphasizes the need for accurate monitoring of...
arXiv:2601.20054v1 Announce Type: new Abstract: Multi-vehicle autonomous driving couples strategic interaction with hybrid (discrete-continuous) maneuver planning under shared safety constraints. We introduce IBR-GCS, an Iterative...
arXiv:2601.20055v1 Announce Type: new Abstract: Despite the syntactic fluency of Large Language Models (LLMs), ensuring their logical correctness in high-stakes domains remains a fundamental challenge....
arXiv:2601.20060v1 Announce Type: new Abstract: Let $P$ be a generic set of $n$ points in the plane, and let $P=R\cup B$ be a coloring of...
arXiv:2601.20061v1 Announce Type: new Abstract: Hyperdimensional Computing (HDC) represents data using extremely high-dimensional, low-precision vectors, termed hypervectors (HVs), and performs learning and inference through lightweight,...
arXiv:2601.20064v1 Announce Type: new Abstract: Open-vocabulary semantic segmentation aims to assign labels to every pixel in an image based on text labels. Existing approaches typically...
arXiv:2601.20067v1 Announce Type: new Abstract: Priority encoders are typically considered expensive hardware components in terms of complexity, especially at high bit precisions or input lengths...
arXiv:2601.20069v1 Announce Type: new Abstract: Training a single network with multiple objectives often leads to conflicting gradients that degrade shared representations, forcing them into a...
arXiv:2601.20071v1 Announce Type: new Abstract: Gradient-regularized value learning methods improve sample efficiency by leveraging learned models of transition dynamics and rewards to estimate return gradients....
arXiv:2601.20072v1 Announce Type: new Abstract: We address the challenge of training Vision Transformers (ViTs) when labeled data is scarce but unlabeled data is abundant. We...
arXiv:2601.20075v1 Announce Type: new Abstract: Contrastive Language-Image Pre-training (CLIP) has become a cornerstone in vision-language representation learning, powering diverse downstream tasks and serving as the...
arXiv:2601.20079v1 Announce Type: new Abstract: Heat-pipe microreactors (HPMRs) are compact and transportable nuclear power systems exhibiting inherent safety, well-suited for deployment in remote regions where...
arXiv:2601.20080v1 Announce Type: new Abstract: Finding a particular object in a display is important for viewers in many visualizations, for example, when reacting to brushing...
arXiv:2601.20084v1 Announce Type: new Abstract: Interpretability in black-box dense retrievers remains a central challenge in Retrieval-Augmented Generation (RAG). Understanding how queries and documents semantically interact...
arXiv:2601.20085v1 Announce Type: new Abstract: Programming instructors have diverse philosophies about integrating generative AI into their classes. Some encourage students to use AI, while others...
arXiv:2601.20086v1 Announce Type: new Abstract: A core assumption of Explainable AI (XAI) is that explanations are useful to users -- that is, users will do...
arXiv:2601.20090v1 Announce Type: new Abstract: Large language model (LLM)-powered agents can translate high-level user intents into plans and actions in an environment. Yet after observing...
arXiv:2601.20099v1 Announce Type: new Abstract: Humans and large language models (LLMs) now co-produce and co-consume the web's shared knowledge archives. Such human-AI collective knowledge ecosystems...
arXiv:2601.20100v1 Announce Type: new Abstract: Generative AI chatbots have proven surprisingly effective at persuading people to change their beliefs and attitudes in lab settings. However,...
arXiv:2601.20102v1 Announce Type: new Abstract: Engineering sustainable and equitable healthcare requires medical language models that do not change clinically correct diagnoses when presented with non-decisive...