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arXiv:2602.13234v1 Announce Type: new Abstract: LLM-based role-playing has rapidly improved in fidelity, yet stronger adherence to persona constraints commonly increases vulnerability to jailbreak attacks, especially...
arXiv:2602.13235v1 Announce Type: new Abstract: Visual Retrieval-Augmented Generation (VRAG) enhances Vision-Language Models (VLMs) by incorporating external visual documents to address a given query. Existing VRAG...
arXiv:2602.13237v1 Announce Type: new Abstract: Automated reasoning is critical in domains such as law and governance, where verifying claims against facts in documents requires both...
arXiv:2602.13238v1 Announce Type: new Abstract: Stacked intelligent metasurfaces (SIMs) have recently emerged as a powerful wave-domain technology that enables multi-stage manipulation of electromagnetic signals through...
arXiv:2602.13239v1 Announce Type: new Abstract: Timely and spatially resolved disaster impact assessment is essential for effective emergency response. However, automated methods typically struggle with temporal...
arXiv:2602.13240v1 Announce Type: new Abstract: Code Large Language Models are frequently trained on massive datasets containing restrictively licensed source code. This creates urgent data governance...
arXiv:2602.13241v1 Announce Type: new Abstract: Emergency call-takers form the first operational link in public safety response, handling over 240 million calls annually while facing a...
arXiv:2602.13242v1 Announce Type: new Abstract: As artificial intelligence (AI) becomes increasingly integrated into daily life, higher education must move beyond code-centric instruction to foster holistic...
arXiv:2602.13243v1 Announce Type: new Abstract: Designing high-quality, standards-aligned instructional materials for K--12 science is time-consuming and expertise-intensive. This study examines what human experts notice when...
arXiv:2602.13244v1 Announce Type: new Abstract: Artificial intelligence (AI) and Machine Learning (ML) have moved from research and pilot projects into everyday business operations, with generative...
arXiv:2602.13245v1 Announce Type: new Abstract: Wireless communication is evolving into an agent era, where numerous intelligent agents equipped with perception, reasoning, and interaction capabilities will...
arXiv:2602.13246v1 Announce Type: new Abstract: This paper presents the outputs of the exploratory phase of a global audit of Large Language Models (LLMs) project. In...
arXiv:2602.13248v1 Announce Type: new Abstract: Natural language explanations play a critical role in establishing trust and acceptance of automated vehicles (AVs), yet existing approaches lack...
arXiv:2602.13252v1 Announce Type: new Abstract: Robotic middleware serves as the foundational infrastructure, enabling complex robotic systems to operate in a coordinated and modular manner. In...
arXiv:2602.13253v1 Announce Type: new Abstract: Large language models (LLMs) have been shown to exhibit biases against LGBTQ+ populations. While safety training may lessen explicit expressions...
arXiv:2602.13255v1 Announce Type: new Abstract: Large language models are increasingly deployed in multi-agent systems, yet we lack benchmarks that test whether they can coordinate under...
arXiv:2602.13258v1 Announce Type: new Abstract: Large language model (LLM) agents have emerged as powerful tools for complex tasks, yet their ability to adapt to individual...
arXiv:2602.13259v1 Announce Type: new Abstract: Speech emotion recognition (SER) is essential for humanoid robot tasks such as social robotic interactions and robotic psychological diagnosis, where...
arXiv:2602.13261v1 Announce Type: new Abstract: Unlike traditional artificial neural networks (ANNs), biological neuronal networks solve complex cognitive tasks with sparse neuronal activity, recurrent connections, and...
arXiv:2602.13262v1 Announce Type: new Abstract: Frontier language models improve with additional test-time computation, but serial reasoning or uncoordinated parallel sampling can be compute-inefficient under fixed...
arXiv:2602.13263v1 Announce Type: new Abstract: Automatic speech recognition (ASR) systems often degrade on accented speech because acoustic-phonetic and prosodic shifts induce a mismatch to training...
arXiv:2602.13264v1 Announce Type: new Abstract: In the critical task of making generative models trustworthy and robust, methods for Uncertainty Quantification (UQ) have begun to show...
arXiv:2602.13266v1 Announce Type: new Abstract: Large Language Models (LLMs) have changed the way natural language processing works, but it is still hard to store and...
arXiv:2602.13267v1 Announce Type: new Abstract: Localization is a fundamental capability in unmanned aerial vehicle (UAV) systems. Map-free LiDAR relocalization offers an effective solution for achieving...