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arXiv:2603.03875v1 Announce Type: new Abstract: Empirical research in reverse engineering and software protection is crucial for evaluating the efficacy of methods designed to protect software...
arXiv:2603.03878v1 Announce Type: new Abstract: The exponential growth of AI has created unprecedented demand for computational resources, pushing chip designs to the limit while simultaneously...
arXiv:2603.03879v1 Announce Type: new Abstract: Estimating the 6D pose of objects from a single RGB image is a critical task for robotics and extended reality...
arXiv:2603.03880v1 Announce Type: new Abstract: Software-hardware co-design is essential for optimizing in-memory computing (IMC) hardware accelerators for neural networks. However, most existing optimization frameworks target...
arXiv:2603.03881v1 Announce Type: new Abstract: As LLM-driven agents begin to autonomously navigate the web, their ability to interpret and respond to manipulative interface design becomes...
arXiv:2603.03882v1 Announce Type: new Abstract: Lip synchronization aims to generate realistic talking videos that match given audio, which is essential for high-quality video dubbing. However,...
arXiv:2603.03884v1 Announce Type: new Abstract: Topic localization aims to identify spans of text that express a given topic defined by a name and description. To...
arXiv:2603.03892v1 Announce Type: new Abstract: In this paper, we present a network structure for classifying metadata of cuneiform tablets. The problem is of practical importance,...
arXiv:2603.03897v1 Announce Type: new Abstract: Foundation models have demonstrated impressive capabilities across diverse domains, while imitation learning provides principled methods for robot skill adaptation from...
arXiv:2603.03899v1 Announce Type: new Abstract: For an offline-first collaborative application to operate in true peer-to-peer fashion, its collaborative features must function even in environments where...
arXiv:2603.03902v1 Announce Type: new Abstract: Time series forecasting, which predicts future values from past observations, plays a central role in many domains and has driven...
arXiv:2603.03903v1 Announce Type: new Abstract: Building reliable classifiers is a fundamental challenge for deploying machine learning in real-world applications. A reliable system should not only...
arXiv:2603.03906v1 Announce Type: new Abstract: Synthetic data is increasingly used to support research without exposing sensitive user content. Social media data is one of the...
arXiv:2603.03907v1 Announce Type: new Abstract: Image aesthetic assessment (IAA) has extensive applications in content creation, album management, and recommendation systems, etc. In such applications, it...
arXiv:2603.03909v1 Announce Type: new Abstract: Pangenomics uses graph-based models to represent and study the genetic variation between individuals of the same species or between different...
arXiv:2603.03911v1 Announce Type: new Abstract: Web security demands rapid response capabilities to evolving cyber threats. Agentic Artificial Intelligence (AI) promises automation, but the need for...
arXiv:2603.03915v1 Announce Type: new Abstract: Large language models (LLMs) have demonstrated significant potential in developing Role-Playing Agents (RPAs). However, current research primarily evaluates RPAs using...
arXiv:2603.03919v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) enhances the capabilities of large language models (LLMs) by incorporating external knowledge, but its reliance on potentially...
arXiv:2603.03920v1 Announce Type: new Abstract: Model Merging (MM) has emerged as a scalable paradigm for multi-task learning (MTL), enabling multiple task-specific models to be integrated...
arXiv:2603.03922v1 Announce Type: new Abstract: Inverse problems are the task of calibrating models to match data. They play a pivotal role in diverse engineering applications...
arXiv:2603.03929v1 Announce Type: new Abstract: This paper develops a harmonic-domain framework for systems with variable fundamental frequency. A variable-frequency sliding Fourier decomposition is introduced in...
arXiv:2603.03930v1 Announce Type: new Abstract: Transformer-based encoder-decoder networks have recently achieved impressive results in handwritten text recognition, partly thanks to their auto-regressive decoder which implicitly...
arXiv:2603.03932v1 Announce Type: new Abstract: Offline Reinforcement Learning (RL) is a promising approach for next-generation wireless networks, where online exploration is unsafe and large amounts...
arXiv:2603.03933v1 Announce Type: new Abstract: We propose an implicit-explicit trust region method for computing second-order stationary points of a class of Landau-type free energy functionals,...