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arXiv:2602.13204v1 Announce Type: new Abstract: Because wireless communication is dynamic and has inherent defects, routing algorithms are crucial in the quickly evolving field of mobile...
arXiv:2602.13205v1 Announce Type: new Abstract: Ultra-dense IoT networks require an effective non-orthogonal multiple access (NOMA) scheme, yet they experience intense interference because of fixed code...
arXiv:2602.13206v1 Announce Type: new Abstract: The collaboration of large artificial intelligence (AI) models in mobile edge networks has emerged as a promising paradigm to meet...
arXiv:2602.13207v1 Announce Type: new Abstract: Artificial intelligence (AI) and reinforcement learning (RL) have shown significant promise in wireless systems, enabling dynamic spectrum allocation, traffic management,...
arXiv:2602.13210v1 Announce Type: new Abstract: Enhancing future wireless networks presents a significant challenge for networking systems due to diverse user demands and the emergence of...
arXiv:2602.13211v1 Announce Type: new Abstract: Compared with IP multicast, Overlay Multicast (OM) offers better compatibility and flexible deployment in heterogeneous, cross-domain networks. However, traditional OM...
arXiv:2602.13212v1 Announce Type: new Abstract: We study language-in-the-loop control for multi-drone systems that execute evolving, high-level missions while retaining formal robustness guarantees at the physical...
arXiv:2602.13213v1 Announce Type: new Abstract: Commercial insurance underwriting is a labor-intensive process that requires manual review of extensive documentation to assess risk and determine policy...
arXiv:2602.13214v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly deployed in interactive environments requiring strategic decision-making, yet systematic evaluation of these capabilities remains...
arXiv:2602.13215v1 Announce Type: new Abstract: Transformers allocate uniform computation to every position, regardless of difficulty. State Space Models (SSMs) offer efficient alternatives but struggle with...
arXiv:2602.13216v1 Announce Type: new Abstract: Cloud-based machine learning is increasingly explored as a preprocessing strategy for next-generation visual neuroprostheses, where advanced scene understanding may exceed...
arXiv:2602.13217v1 Announce Type: new Abstract: The main issue with most evaluation schemes today is their "static" nature: the same problems are reused repeatedly, allowing for...
arXiv:2602.13218v1 Announce Type: new Abstract: Scaling verifiable training signals remains a key bottleneck for Reinforcement Learning from Verifiable Rewards (RLVR). Logical reasoning is a natural...
arXiv:2602.13222v1 Announce Type: new Abstract: This paper introduces the Quest Graph, a formal framework for analyzing the capabilities of agentic systems with finite context. We...
arXiv:2602.13224v1 Announce Type: new Abstract: The term "hallucination" in large language models conflates distinct phenomena with different geometric signatures in embedding space. We propose a...
arXiv:2602.13226v1 Announce Type: new Abstract: Detecting text generated by large language models (LLMs) is crucial but challenging. Existing detectors depend on impractical assumptions, such as...
arXiv:2602.13227v1 Announce Type: new Abstract: 6G networks are expected to be AI-native, intent-driven, and economically programmable, requiring fundamentally new approaches to network slice orchestration. Existing...
arXiv:2602.13229v1 Announce Type: new Abstract: In disaster scenarios or remote areas, first responders often lose network connectivity when providing first aid. In such situations, server-based...
arXiv:2602.13230v1 Announce Type: new Abstract: Despite recent advances in artificial intelligence, many systems exhibit stagnation in long-horizon adaptability despite continued performance optimization. This work argues...
arXiv:2602.13231v1 Announce Type: new Abstract: As 5G networks continue to evolve to deliver high speed, low latency, and reliable communications, ensuring uninterrupted service has become...
arXiv:2602.13232v1 Announce Type: new Abstract: We present PlotChain, a deterministic, generator-based benchmark for evaluating multimodal large language models (MLLMs) on engineering plot reading-recovering quantitative values...
arXiv:2602.13233v1 Announce Type: new Abstract: The navigation of indoor spaces poses difficult challenges for individuals with visual impairments, as it requires processing of sensory information,...
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...