📰 AI News

arXiv:2603.26610v1 Announce Type: cross Abstract: Mobile devices continuously interact with cellular base stations, generating massive volumes of signaling reco

arXiv:2603.26632v1 Announce Type: cross Abstract: Malware continues to be a predominant operational risk for organizations, especially when obfuscation techniqu

arXiv:2603.26639v1 Announce Type: cross Abstract: Empowered by large-scale training, vision-language models (VLMs) achieve strong image and video understanding,

arXiv:2603.26648v1 Announce Type: cross Abstract: Recent advances in large language models have improved the capabilities of coding agents, yet systematic evalu

arXiv:2603.26653v1 Announce Type: cross Abstract: We introduce PerceptionComp, a manually annotated benchmark for complex, long-horizon, perception-centric vide

arXiv:2603.26660v1 Announce Type: cross Abstract: Lack of accessible and dexterous robot hardware has been a significant bottleneck to achieving human-level dex

arXiv:2305.09840v4 Announce Type: replace Abstract: Balancing exploration and exploitation has been an important problem in both game tree search and automated

arXiv:2405.18248v3 Announce Type: replace Abstract: Despite being successful in board games and reinforcement learning (RL), Monte Carlo Tree Search (MCTS) comb

arXiv:2410.19733v2 Announce Type: replace Abstract: Global aging calls for scalable and engaging cognitive interventions. Computerized cognitive training (CCT)

arXiv:2411.12964v2 Announce Type: replace Abstract: The rapid adoption of electric vehicles (EVs) in modern transport systems has made energy-aware routing a cr

arXiv:2501.05765v4 Announce Type: replace Abstract: Ensuring ethical behavior in Artificial Intelligence (AI) systems amidst their increasing ubiquity and influ

arXiv:2508.00500v3 Announce Type: replace Abstract: Large Language Model (LLM) agents increasingly operate across domains such as robotics, virtual assistants,

arXiv:2509.24207v2 Announce Type: replace Abstract: Online alignment (e.g., GRPO) is generally more performant than offline alignment (e.g., DPO) -- but why? Dr

arXiv:2510.08222v2 Announce Type: replace Abstract: Due to their inherent complexity, reasoning tasks have long been regarded as rigorous benchmarks for assessi

arXiv:2511.04235v4 Announce Type: replace Abstract: Constructing a consistent shared spatial memory is a critical challenge in multi-agent systems, where partia

arXiv:2511.19669v2 Announce Type: replace Abstract: Conventional AI-driven AMS design automation algorithms remain constrained by their reliance on high-quality

arXiv:2601.05529v4 Announce Type: replace Abstract: High success rates on navigation-related tasks do not necessarily translate into reliable decision making by

arXiv:2601.08323v3 Announce Type: replace Abstract: Equipping agents with memory is essential for solving real-world long-horizon problems. However, most existi

arXiv:2603.11601v2 Announce Type: replace Abstract: Vision-Language Models (VLMs) excel at describing visual scenes, yet struggle to translate perception into p

arXiv:2603.15636v2 Announce Type: replace Abstract: As AI-driven document understanding and processing tools become increasingly prevalent in real-world applica

arXiv:2603.17233v2 Announce Type: replace Abstract: Auto-formalization (AF) translates natural-language reasoning problems into solver-executable programs, enab

arXiv:2603.18349v2 Announce Type: replace Abstract: We present an NLP-based study of political propaganda on Moltbook, a Reddit-style platform for AI agents. To

arXiv:2603.20833v2 Announce Type: replace Abstract: As AI agent ecosystems grow, agents need mechanisms to monitor relevant knowledge in real time. Semantic pub

arXiv:2402.07153v3 Announce Type: replace-cross Abstract: This paper provides rigorous error bounds for physics-informed neural networks approximating the semil