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arXiv:2510.12414v2 Announce Type: replace Abstract: Steganographic schemes dedicated to generated images modify the seed vector in the latent space to embed a message. Whereas most...
arXiv:2510.12603v2 Announce Type: replace Abstract: Multimodal reasoning aims to enhance the capabilities of MLLMs by incorporating intermediate reasoning steps before reaching the final answer. It...
arXiv:2510.12605v2 Announce Type: replace Abstract: Underwater Salient Object Detection (USOD) faces significant challenges, including underwater image quality degradation and domain gaps. Existing methods tend to...
arXiv:2510.13907v2 Announce Type: replace Abstract: Large language models (LLMs) are highly sensitive to prompts, but most automatic prompt optimization (APO) methods assume access to ground-truth...
arXiv:2510.14398v3 Announce Type: replace Abstract: Large language models (LLMs) trained for general \textit{next-token prediction} often fail to generate responses that reflect how specific individuals communicate....
arXiv:2510.18439v2 Announce Type: replace Abstract: Hallucination, where models generate fluent text unsupported by visual evidence, remains a major flaw in vision-language models and is particularly...
arXiv:2510.18714v2 Announce Type: replace Abstract: This paper addresses metric 3D reconstruction of indoor scenes by exploiting their inherent geometric regularities with compact representations. Using planar...
arXiv:2510.20518v2 Announce Type: replace Abstract: AI-based sensing at wireless edge devices has the potential to significantly enhance Artificial Intelligence (AI) applications, particularly for vision and...
arXiv:2510.20707v2 Announce Type: replace Abstract: Recent large vision-language models (LVLMs) demonstrate remarkable capabilities in processing extended multi-modal sequences, yet the resulting key-value (KV) cache expansion...
arXiv:2510.22848v2 Announce Type: replace Abstract: Self-induced stochastic resonance (SISR) is the emergence of coherent oscillations in slow-fast excitable systems driven solely by noise, without external...
arXiv:2510.23530v2 Announce Type: replace Abstract: Audio autoencoders learn useful, compressed audio representations, but their non-linear latent spaces prevent intuitive algebraic manipulation such as mixing or...
arXiv:2510.24810v2 Announce Type: replace Abstract: Fact-checking on major platforms, such as X, Meta, and TikTok, is shifting from expert-driven verification to a community-based setup, where...
arXiv:2510.26844v2 Announce Type: replace Abstract: Existing semantic communication schemes primarily focus on single-hop scenarios, overlooking the challenges of multi-hop wireless image transmission. As semantic communication...
arXiv:2510.26905v2 Announce Type: replace Abstract: Cyber-physical systems increasingly rely on Foundational Models such as Large Language Models (LLMs) and Vision-Language Models (VLMs) to increase autonomy...
arXiv:2511.03001v2 Announce Type: replace Abstract: Despite recent progress in using Large Language Models (LLMs) for automatically generating 3D scenes, generated scenes often lack realistic spatial...
arXiv:2511.04715v2 Announce Type: replace Abstract: Identifying how training samples influence/impact Large Language Model (LLM) decision-making is essential for effectively interpreting model decisions and auditing large-scale...
arXiv:2511.05035v2 Announce Type: replace Abstract: Modular composition is the problem of computing the coefficient vector of the polynomial $f(g(x)) \bmod h(x)$, given as input the...
arXiv:2511.05097v2 Announce Type: replace Abstract: Tracking vulnerabilities inherited from third-party open-source software is a well-known challenge, often addressed by tracing the threads of dependency information....
arXiv:2511.05878v2 Announce Type: replace Abstract: Log-based anomaly detection is critical for ensuring the stability and reliability of web systems. One of the key problems in...
arXiv:2511.06563v2 Announce Type: replace Abstract: Adopting artificial intelligence (AI) in radio access networks (RANs) presents several challenges, including limited availability of link-level measurements (e.g., CQI...
arXiv:2511.06893v2 Announce Type: replace Abstract: Time-Series (TS) exhibits pronounced non-stationarity. Consequently, most forecasting methods display compromised robustness to concept drift, despite the prevalent application of...
arXiv:2511.07776v2 Announce Type: replace Abstract: Dynamic behaviors are becoming prevalent in tensor applications, like machine learning, where many widely used models contain data-dependent tensor shapes...
arXiv:2511.08825v2 Announce Type: replace Abstract: The value function of a POMDP exhibits the piecewise-linear-convex (PWLC) property and can be represented as a finite set of...
arXiv:2511.09014v2 Announce Type: replace Abstract: As a generalization of Hermite interpolation problem, Birkhoff interpolation is an important subject in numerical approximation. This paper generalizes the...