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arXiv:2602.14371v1 Announce Type: new Abstract: The standard definitions of degrees of freedom (DOF) and diversity both normalize by $\log\rho$. When this ruler is wrong, both...
arXiv:2602.14372v1 Announce Type: new Abstract: Bitcoin's design promises resilience through decentralization, yet physical infrastructure creates hidden dependencies. We present the first longitudinal study of Bitcoin's...
arXiv:2602.14374v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) is a widely used framework for reducing hallucinations in large language models (LLMs) on domain-specific tasks by...
arXiv:2602.14375v1 Announce Type: new Abstract: This paper proposes a multi-class online fuzzy classifier for dynamic environments. A fuzzy classifier comprises a set of fuzzy if-then...
arXiv:2602.14376v1 Announce Type: new Abstract: Visual Deformation Measurement (VDM) aims to recover dense deformation fields by tracking surface motion from camera observations. Traditional image-based methods...
arXiv:2602.14381v1 Announce Type: new Abstract: We describe an adaptation of VACE (Video All-in-one Creation and Editing) for real-time autoregressive video generation. VACE provides unified video...
arXiv:2602.14382v1 Announce Type: new Abstract: This paper proposes a prescribed performance function aware hybrid gain finite time sliding mode control framework for a class of...
arXiv:2602.14385v1 Announce Type: new Abstract: We study the impact that string reversal can have on several repetitiveness measures. First, we exhibit an infinite family of...
arXiv:2602.14386v1 Announce Type: new Abstract: Existing policy-gradient methods for auto-regressive language models typically select subsequent tokens one at a time as actions in the policy....
arXiv:2602.14390v1 Announce Type: new Abstract: In this paper, a method for predicting the resources required for an intelligent vehicle client using a three-layer vehicular computing...
arXiv:2602.14391v1 Announce Type: new Abstract: Federated learning (FL) has become a promising answer to facilitating privacy-preserving collaborative learning in distributed IoT devices. However, device heterogeneity...
arXiv:2602.14392v1 Announce Type: new Abstract: Positivity preservation of key physical quantities in the context of fluid flows, such as density and internal energy, is an...
arXiv:2602.14393v1 Announce Type: new Abstract: Neural network (NN) accelerators with multi-chip-module (MCM) architectures enable integration of massive computation capability; however, they face challenges of computing...
arXiv:2602.14397v1 Announce Type: new Abstract: Secure Multi-party Computation (MPC) enables untrusted parties to jointly compute a function without revealing their inputs. Its application to machine...
arXiv:2602.14399v1 Announce Type: new Abstract: Multi-turn jailbreak attacks are effective against text-only large language models (LLMs) by gradually introducing malicious content across turns. When extended...
arXiv:2602.14401v1 Announce Type: new Abstract: Vision-Language Navigation VLN requires large-scale trajectory instruction data from private indoor environments, raising significant privacy concerns. Federated Learning FL mitigates...
arXiv:2602.14404v1 Announce Type: new Abstract: Recent years have witnessed meteoric progress in reasoning models: neural networks that generate intermediate reasoning traces (RTs) before producing a...
arXiv:2602.14405v1 Announce Type: new Abstract: We propose and analyze a fully discrete parametric finite element method with minimal deformation rate (MDR) for simulating the mean...
arXiv:2602.14406v1 Announce Type: new Abstract: Argument mining and stance detection are central to understanding how opinions are formed and contested in online discourse. However, most...
arXiv:2602.14407v1 Announce Type: new Abstract: Recent advancements in the conversational and social capabilities of generative AI (GenAI) have sparked interest in its role as an...
arXiv:2602.14408v1 Announce Type: new Abstract: Multimodal methods are widely used in rice deterioration detection, which exhibit limited capability in representing and extracting fine-grained abnormal features....
arXiv:2602.14409v1 Announce Type: new Abstract: Spatial perception aims to estimate camera motion and scene structure from visual observations, a problem traditionally addressed through geometric modeling...
arXiv:2602.14413v1 Announce Type: new Abstract: Extended Reality (XR) systems deployed in industrial and operational settings rely on Visual--Inertial Odometry (VIO) for continuous six-degree-of-freedom pose tracking,...
arXiv:2602.14419v1 Announce Type: new Abstract: This paper reformulates Transformer/Attention mechanisms in Large Language Models (LLMs) through measure theory and frequency analysis, theoretically demonstrating that hallucination...