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arXiv:2602.15323v1 Announce Type: new Abstract: Language models now routinely produce text that is difficult to distinguish from human writing, raising the need for robust tools...
arXiv:2602.15325v1 Announce Type: new Abstract: Foundation models for agriculture are increasingly trained on massive spatiotemporal data (e.g., multi-spectral remote sensing, soil grids, and field-level management...
arXiv:2602.15327v1 Announce Type: new Abstract: For deploying foundation models, practitioners increasingly need prescriptive scaling laws: given a pre training compute budget, what downstream accuracy is...
arXiv:2602.15329v1 Announce Type: new Abstract: Online video understanding requires models to perform continuous perception and long-range reasoning within potentially infinite visual streams. Its fundamental challenge...
arXiv:2602.15330v1 Announce Type: new Abstract: The long-tail distribution, where a few head labels dominate while rare tail labels abound, poses a persistent challenge for large-scale...
arXiv:2602.15332v1 Announce Type: new Abstract: Understanding how language models carry out long-horizon reasoning remains an open challenge. Existing interpretability methods often highlight tokens or spans...
arXiv:2602.15333v1 Announce Type: new Abstract: Decentralized air traffic management requires coordination among self-interested stakeholders operating under shared safety and capacity constraints, where conventional centralized or...
arXiv:2602.15335v1 Announce Type: new Abstract: This paper develops a tractable analytical channel model for first-hitting-time molecular communication systems under time-varying drift. While existing studies of...
arXiv:2602.15336v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly used by undergraduate students as on-demand tutors, yet their reliability on circuit- and diagram-based...
arXiv:2602.15337v1 Announce Type: new Abstract: Asynchronous Federated Learning (AFL) has emerged as a significant research area in recent years. By not waiting for slower clients...
arXiv:2602.15338v1 Announce Type: new Abstract: Large language model (LLM) alignment relies on complex reward signals that often obscure the specific behaviors being incentivized, creating critical...
arXiv:2602.15341v1 Announce Type: new Abstract: We study monotonicity testing of real-valued functions on directed acyclic graphs (DAGs) with $n$ vertices. For every constant $\delta>0$, we...
arXiv:2602.15342v1 Announce Type: new Abstract: Code smell is a great challenge in software refactoring, which indicates latent design or implementation flaws that may degrade the...
arXiv:2602.15344v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly augmented with long-term memory systems to overcome finite context windows and enable persistent reasoning...
arXiv:2602.15346v1 Announce Type: new Abstract: Multimodal Fusion Learning (MFL), leveraging disparate data from various imaging modalities (e.g., MRI, CT, SPECT), has shown great potential for...
arXiv:2602.15349v1 Announce Type: new Abstract: Dog emotion recognition plays a crucial role in enhancing human-animal interactions, veterinary care, and the development of automated systems for...
arXiv:2602.15350v1 Announce Type: new Abstract: Public Safety Power Shutoffs (PSPS) force rapid topology changes that can render standard operating points infeasible, requiring operators to quickly...
arXiv:2602.15351v1 Announce Type: new Abstract: Imitation learning frameworks that learn robot control policies from demonstrators' motions via hand-mounted demonstration interfaces have attracted increasing attention. However,...
arXiv:2602.15353v1 Announce Type: new Abstract: Large pretrained language models and neural reasoning systems have advanced many natural language tasks, yet they remain challenged by knowledge-intensive...
arXiv:2602.15354v1 Announce Type: new Abstract: This paper presents a performance comparison of different estimation and prediction techniques applied to the problem of tracking multiple robots....
arXiv:2602.15355v1 Announce Type: new Abstract: The emergence of 3D Gaussian Splatting has fundamentally redefined the capabilities of photorealistic neural rendering by enabling high-throughput synthesis of...
arXiv:2602.15357v1 Announce Type: new Abstract: Magnetic actuation enables surgical robots to navigate complex anatomical pathways while reducing tissue trauma and improving surgical precision. However, clinical...
arXiv:2602.15359v1 Announce Type: new Abstract: Implicit feedback, such as user clicks, serves as the primary data source for modern recommender systems. However, click interactions inherently...
arXiv:2602.15360v1 Announce Type: new Abstract: Graph streams are rapidly evolving sequences of edges that convey continuously changing relationships among entities, playing a crucial role in...