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arXiv:2603.03654v1 Announce Type: new Abstract: Construction aggregates, including sand and gravel, crushed stone and riprap, are the core building blocks of the construction industry. State-of-the-practice...
arXiv:2603.03655v1 Announce Type: new Abstract: Tool-augmented large language model (LLM) agents promise to unify scientific reasoning with computation, yet their deployment in high-stakes domains like...
arXiv:2603.03657v1 Announce Type: new Abstract: Multimodal generative models have made significant strides in image editing, demonstrating impressive performance on a variety of static tasks. However,...
arXiv:2603.03659v1 Announce Type: new Abstract: Popular social media platforms TikTok, Facebook and Instagram allow third-parties to run targeted advertising campaigns on sensitive attributes in-platform. These...
arXiv:2603.03662v1 Announce Type: new Abstract: Graph Neural Networks (GNNs) have emerged as a powerful framework for processing graph-structured data. However, conventional GNNs and their variants...
arXiv:2603.03664v1 Announce Type: new Abstract: Learning-to-communicate (LTC) in partially observable environments has received increasing attention in deep multi-agent reinforcement learning, where the control and communication...
arXiv:2603.03665v1 Announce Type: new Abstract: The proliferation of facial recognition (FR) systems has raised privacy concerns in the digital realm, as malicious uses of FR...
arXiv:2603.03667v1 Announce Type: new Abstract: The disaggregation of the Radio Access Network (RAN) introduces unprecedented flexibility but significant operational complexity, necessitating automated management frameworks. However,...
arXiv:2603.03668v1 Announce Type: new Abstract: Solving constraints involving inductive (aka recursive) definitions is challenging. State-of-the-art SMT/CHC solvers and first-order logic provers provide only limited support...
arXiv:2603.03672v1 Announce Type: new Abstract: The Shapley value provides a principled foundation for data valuation, but exact computation is #P-hard due to the exponential coalition...
arXiv:2603.03673v1 Announce Type: new Abstract: Stein's identity is a fundamental tool in machine learning with applications in generative models, stochastic optimization, and other problems involving...
arXiv:2603.03675v1 Announce Type: new Abstract: Most learners worldwide are multilingual, yet implementing multilingual education remains challenging in practice. EdTech offers an opportunity to bridge this...
arXiv:2603.03677v1 Announce Type: new Abstract: Large language models (LLMs) have advanced medical dialogue systems, yet psychiatric consultation poses substantially higher demands due to subjective ambiguity...
arXiv:2603.03678v1 Announce Type: new Abstract: Satellite communication networks operate under stringent computational constraints and are susceptible to sophisticated cyberattacks. This paper introduces a novel defense...
arXiv:2603.03680v1 Announce Type: new Abstract: Large Language Model (LLM) agents have demonstrated remarkable proficiency in learned tasks, yet they often struggle to adapt to non-stationary...
arXiv:2603.03681v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) have shown strong performance in vision-language tasks, but their inference efficiency is severely limited by...
arXiv:2603.03683v1 Announce Type: new Abstract: Leveraging Large Language Models (LLMs) for code generation has increasingly emerged as a common practice in the domain of software...
arXiv:2603.03686v1 Announce Type: new Abstract: Automated design of chemical formulations is a cornerstone of materials science, yet it requires navigating a high-dimensional combinatorial space involving...
arXiv:2603.03687v1 Announce Type: new Abstract: Counterspeech offers a non-repressive approach to moderate hate speech in online communities. Research has examined how counterspeech chatbots restrain hate...
arXiv:2603.03692v1 Announce Type: new Abstract: Classifier-Free Guidance (CFG) has established the foundation for guidance mechanisms in diffusion models, showing that well-designed guidance proxies significantly improve...
arXiv:2603.03695v1 Announce Type: new Abstract: Reliable localization is essential for sustainable forest management, as it allows robots or sensor systems to revisit and monitor the...
arXiv:2603.03701v1 Announce Type: new Abstract: In the vision of smart cities, technologies are being developed to enhance the efficiency of urban services and improve residents'...
arXiv:2603.03704v1 Announce Type: new Abstract: Robot planning in partially observable environments, where not all objects are known or visible, is a challenging problem, as it...
arXiv:2603.03705v1 Announce Type: new Abstract: In this paper, we introduce GraphLake, a purpose-built graph compute engine for Lakehouse. GraphLake is built on top of the...