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arXiv:2603.04657v1 Announce Type: new Abstract: Discussions of AI in education focus predominantly on student-facing tools -- chatbots, tutors, and problem generators -- while the potential...
arXiv:2603.04659v1 Announce Type: new Abstract: This paper presents a novel approach to multi-robot collision avoidance that integrates global path planning with local navigation strategies, utilizing...
arXiv:2603.04661v1 Announce Type: new Abstract: The work focuses on Lagrange stability of the origin for the three-state Moore-Greitzer compressor model in closed loop with a...
arXiv:2603.04662v1 Announce Type: new Abstract: This paper examines how logical vulnerabilities in 5G Standalone networks affect UAV command and control communication. The study looks at...
arXiv:2603.04663v1 Announce Type: new Abstract: Standard Retrieval-Augmented Generation (RAG) architectures fail in high-stakes financial domains due to two fundamental limitations: the inherent arithmetic incompetence of...
arXiv:2603.04665v1 Announce Type: new Abstract: We study the existence of plane substructures in drawings of the $d$-dimensional hypercube graph $Q_d$. We construct drawings of $Q_d$...
arXiv:2603.04668v1 Announce Type: new Abstract: Python bindings are a critical bridge between high-performance C++ libraries and the flexibility of Python, enabling rapid prototyping, reproducible experiments,...
arXiv:2603.04670v1 Announce Type: new Abstract: This project investigates the capabilities of large language models (LLMs) to determine the difficulty of data visualization literacy test items....
arXiv:2603.04672v1 Announce Type: new Abstract: Physics-informed neural networks (PINNs) are a versatile tool in the burgeoning field of scientific machine learning for solving partial differential...
arXiv:2603.04673v1 Announce Type: new Abstract: Deep learning (DL) methods are currently being explored to restore images from sparse-view-, limited-data-, and undersampled-based acquisitions in medical applications....
arXiv:2603.04676v1 Announce Type: new Abstract: Multi-image reasoning remains a significant challenge for vision-language models (VLMs). We investigate a previously overlooked phenomenon: during chain-of-thought (CoT) generation,...
arXiv:2603.04678v1 Announce Type: new Abstract: Large language models are known to often exhibit inconsistent knowledge. This is particularly problematic in multilingual scenarios, where models are...
arXiv:2603.04683v1 Announce Type: new Abstract: Accurate estimation of forest biomass is crucial for monitoring carbon sequestration and informing climate change mitigation strategies. Existing methods often...
arXiv:2603.04689v1 Announce Type: new Abstract: Fair top-$k$ selection, which ensures appropriate proportional representation of members from minority or historically disadvantaged groups among the top-$k$ selected...
arXiv:2603.04691v1 Announce Type: new Abstract: Stopwords are words that are not very informative to the content or the meaning of a language text. Most stopwords...
arXiv:2603.04692v1 Announce Type: new Abstract: Predictive modeling in engineering applications has long been dominated by bespoke models and small, siloed tabular datasets, limiting the applicability...
arXiv:2603.04695v1 Announce Type: new Abstract: In many applications of social navigation, existing works have shown that predicting and reasoning about human intentions can help robotic...
arXiv:2603.04696v1 Announce Type: new Abstract: Robust invisible watermarking systems aim to embed imperceptible payloads that remain decodable after common post-processing such as JPEG compression, cropping,...
arXiv:2603.04698v1 Announce Type: new Abstract: This paper evaluates data augmentation and feature enhancement techniques for hate speech detection, comparing traditional classifiers, e.g., Delta Term Frequency-Inverse...
arXiv:2603.04701v1 Announce Type: new Abstract: Social media platforms typically obtain user consent through Terms of Service (ToS) presented at account creation, rather than through dedicated...
arXiv:2603.04703v1 Announce Type: new Abstract: We study matrix completion via deep matrix factorization (a.k.a. deep linear neural networks) as a simplified testbed to examine how...
arXiv:2603.04705v1 Announce Type: new Abstract: To assist humans in open-world environments, robots must interpret ambiguous instructions to locate desired objects. Foundation model-based approaches excel at...
arXiv:2603.04707v1 Announce Type: new Abstract: Online marketplaces, while revolutionizing global commerce, have inadvertently facilitated the proliferation of illicit activities, including drug trafficking, counterfeit sales, and...
arXiv:2603.04710v1 Announce Type: new Abstract: Recent advances in automatic speech recognition (ASR) and speech enhancement have led to a widespread assumption that improving perceptual audio...