Stay updated with the latest research and technology news
arXiv:2603.01152v1 Announce Type: new Abstract: Deep-research agents are capable of executing multi-step web exploration, targeted retrieval, and sophisticated question answering. Despite their powerful capabilities, deep-research...
arXiv:2603.01153v1 Announce Type: new Abstract: Robotic ultrasound (US) has recently attracted increasing attention as a means to overcome the limitations of conventional US examinations, such...
arXiv:2603.01154v1 Announce Type: new Abstract: Static Application Security Testing (SAST) tools often suffer from high false positive rates, leading to alert fatigue that consumes valuable...
arXiv:2603.01158v1 Announce Type: new Abstract: Recently, 3D Gaussian Splatting (3DGS) has emerged as a mainstream rendering technique due to its photorealistic quality and low latency....
arXiv:2603.01160v1 Announce Type: new Abstract: Conversational AI (ConvAI) agents increasingly maintain structured memory to support long-term, task-oriented interactions. In-context memory approaches append the growing history...
arXiv:2603.01161v1 Announce Type: new Abstract: Change detection (CD) in remote sensing aims to identify semantic differences between satellite images captured at different times. While deep...
arXiv:2603.01162v1 Announce Type: new Abstract: Group relative policy optimization (GRPO), a core methodological component of DeepSeekMath and DeepSeek-R1, has emerged as a cornerstone for scaling...
arXiv:2603.01163v1 Announce Type: new Abstract: Face retouching requires removing subtle imperfections while preserving unique facial identity features, in order to enhance overall aesthetic appeal. However,...
arXiv:2603.01164v1 Announce Type: new Abstract: Image-driven video editing aims to propagate edit contents from the modified first frame to the rest frames. The existing methods...
arXiv:2603.01165v1 Announce Type: new Abstract: Recently, multi-layer perceptrons (MLPs) widely used in modern AI applications suffer from limited real-time performance due to intensive memory access...
arXiv:2603.01167v1 Announce Type: new Abstract: With the rapid development of Large Language Models (LLMs), a large number of benchmarks have been proposed. However, most benchmarks...
arXiv:2603.01168v1 Announce Type: new Abstract: Reliable decision-making in complex multi-agent systems requires calibrated predictions and interpretable uncertainty. We introduce SphUnc, a unified framework combining hyperspherical...
arXiv:2603.01169v1 Announce Type: new Abstract: The exponential growth of video content necessitates effective video summarization to efficiently extract key information from long videos. However, current...
arXiv:2603.01170v1 Announce Type: new Abstract: This work presents ATLAS, an LLM-driven framework that bridges standardized threat modeling and property-based formal verification for System-on-Chip (SoC) security....
arXiv:2603.01171v1 Announce Type: new Abstract: Determining a winner among a set of items using active pairwise comparisons under a limited budget is a challenging problem...
arXiv:2603.01173v1 Announce Type: new Abstract: An Adaptive Cruise Control (ACC) system automatically adjusts the host vehicle's speed to maintain a safe following distance from a...
arXiv:2603.01174v1 Announce Type: new Abstract: Accurate classification of hyperspectral imagery (HSI) is often frustrated by the tension between high-dimensional spectral data and the extreme scarcity...
arXiv:2603.01175v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) relies on large-scale Approximate Nearest Neighbor Search (ANNS) to retrieve semantically relevant context for large language models....
arXiv:2603.01176v1 Announce Type: new Abstract: We present an optimal-control-based particle filtering method for state estimation in hybrid systems that undergo intermittent contact with their environments....
arXiv:2603.01178v1 Announce Type: new Abstract: Collaborative Simultaneous Localization and Mapping (C-SLAM) is a fundamental capability for multi-robot teams as it enables downstream tasks like planning...
arXiv:2603.01179v1 Announce Type: new Abstract: The rapid proliferation of autonomous AI agents is driving a shift toward Machine-to-Machine (M2M) commerce, where software agents are expected...
arXiv:2603.01184v1 Announce Type: new Abstract: Representation learning from complex data typically involves models with a large number of parameters, which in turn require large amounts...
arXiv:2603.01185v1 Announce Type: new Abstract: Fine-tuning large language models (LLMs) on custom datasets has become a standard approach for adapting these models to specific domains...
arXiv:2603.01187v1 Announce Type: new Abstract: Hate speech remains a pressing challenge on social media, where platform moderation often fails to protect targeted users. Personal moderation...