AI Agents & Automation

arXiv:2603.28963v1 Announce Type: cross Abstract: Multi-agent traffic simulation is central to developing and testing autonomous driving systems. Recent data-dr

arXiv:2603.28998v1 Announce Type: cross Abstract: As Large Language Models (LLMs) and multi-agent AI systems are demonstrating increasing potential in cybersecu

arXiv:2603.29289v1 Announce Type: cross Abstract: The fast pace of modern AI is rapidly transforming traditional industrial systems into vast, intelligent and p

arXiv:2603.29315v1 Announce Type: cross Abstract: Robotic reproduction of oil paintings using soft brushes and pigments requires force-sensitive control of defo

arXiv:2603.29326v1 Announce Type: cross Abstract: Real-time, deep learning-based vocal denoising has seen significant progress over the past few years, demonstr

arXiv:2603.29332v1 Announce Type: cross Abstract: The embodied learning of human motor control requires whole-body neuro-actuated musculoskeletal dynamics, whil

arXiv:2603.29356v1 Announce Type: cross Abstract: The rapid progress of generative adversarial networks (GANs) and diffusion models has enabled the creation of

arXiv:2603.29375v1 Announce Type: cross Abstract: Spacecraft anomaly detection is critical for mission safety, yet deploying sophisticated models on-board prese

arXiv:2603.29407v1 Announce Type: cross Abstract: Accurate forecasting of three-dimensional (3D) cloud fields is important for atmospheric analysis and short-ra

arXiv:2603.29419v1 Announce Type: cross Abstract: Understanding object affordances is essential for enabling robots to perform purposeful and fine-grained inter

arXiv:2603.29501v1 Announce Type: cross Abstract: Many reinforcement learning algorithms rely on target networks - lagged copies of the online network - to stab

arXiv:2603.29520v1 Announce Type: cross Abstract: Encrypted traffic classification is a critical task for network security. While deep learning has advanced thi

arXiv:2603.29535v1 Announce Type: cross Abstract: Generative Artificial Intelligence (GenAI) features such as image editing, object removal, and prompt-guided i

arXiv:2603.29537v1 Announce Type: cross Abstract: Network traffic classification using self-supervised pre-training models based on Masked Autoencoders (MAE) ha

arXiv:2603.29543v1 Announce Type: cross Abstract: Efficiently planning container loads onto trains is a computationally challenging combinatorial optimization p

arXiv:2603.29572v1 Announce Type: cross Abstract: 4D generation, or dynamic 3D content generation, integrates spatial, temporal, and view dimensions to model re

arXiv:2603.29585v1 Announce Type: cross Abstract: The ability to transform a flat sheet into a complex three-dimensional structure is a fundamental test of phys

arXiv:2603.29590v1 Announce Type: cross Abstract: Method illustration figures (MIFs) play a crucial role in conveying the core ideas of scientific papers, yet t

arXiv:2603.29602v1 Announce Type: cross Abstract: Existing multi-turn image editing paradigms are often confined to isolated single-step execution. Due to a lac

arXiv:2603.29632v1 Announce Type: cross Abstract: As AI agents evolve, the community is rapidly shifting from single Large Language Models (LLMs) to Multi-Agent

arXiv:2603.29651v1 Announce Type: cross Abstract: Semantic interaction (SI) enables analysts to incorporate their cognitive processes into AI models through dir

arXiv:2603.29656v1 Announce Type: cross Abstract: Autonomous 6G network management requires agents that can execute tools, observe the resulting state changes,

arXiv:2603.29694v1 Announce Type: cross Abstract: Skin cancer, particularly melanoma, remains a major cause of morbidity and mortality, making early detection c

arXiv:2603.29865v1 Announce Type: cross Abstract: Wildfires cause major losses worldwide, and the frequency of fire-weather conditions is likely to increase in

arXiv:2603.29893v1 Announce Type: cross Abstract: Healthcare conversational AI agents shouldn't be optimized only for clean benchmark accuracy in production-fir

arXiv:2603.29913v1 Announce Type: cross Abstract: The currently dominant AI/ML workloads, such as Large Language Models (LLMs), rely on the efficient execution

arXiv:2603.29999v1 Announce Type: cross Abstract: Aggregate programming is a field-based coordination paradigm with over a decade of exploration and successful

arXiv:2603.30014v1 Announce Type: cross Abstract: The Production and Distributed Analysis (PanDA) system, originally developed for the ATLAS experiment at the C

arXiv:2603.30016v1 Announce Type: cross Abstract: AI agents, predominantly powered by large language models (LLMs), are vulnerable to indirect prompt injection,

arXiv:2406.03091v2 Announce Type: replace Abstract: Partial-order plans in AI planning facilitate execution flexibility due to their less-constrained nature. Ma

arXiv:2410.08875v2 Announce Type: replace Abstract: Designing a network (e.g., a telecommunication or transport network) is mainly done offline, in a planning p

arXiv:2508.08115v3 Announce Type: replace Abstract: Complex medical reasoning has historically required frontier language models to achieve clinically-acceptabl

arXiv:2509.18527v5 Announce Type: replace Abstract: Multimedia decision support requires more than recognition; it requires explicit state estimates that can be

arXiv:2510.09858v4 Announce Type: replace Abstract: This is a skeptical overview of the literature on AI consciousness. We will soon create AI systems that are

arXiv:2511.22302v2 Announce Type: replace Abstract: Numerical simulations have revolutionized the industrial design process by reducing prototyping costs, desig

arXiv:2603.06679v2 Announce Type: replace Abstract: Video world models have shown immense promise for interactive simulation and entertainment, but current syst

arXiv:2603.17445v3 Announce Type: replace Abstract: When a multi-agent system produces an incorrect or harmful answer, who is accountable if execution logs and

arXiv:2309.02022v2 Announce Type: replace-cross Abstract: The Internet of Things is transforming various fields, with sensors increasingly embedded in wearables

arXiv:2506.00241v2 Announce Type: replace-cross Abstract: Serious Illness Conversations (SICs), discussions about values and care preferences for patients with

arXiv:2506.06837v4 Announce Type: replace-cross Abstract: The challenge of finding compromises between agent proposals is fundamental to AI subfields such as ar

arXiv:2506.09082v4 Announce Type: replace-cross Abstract: The rise of vision foundation models (VFMs) calls for systematic evaluation. A common approach pairs V

arXiv:2507.10610v2 Announce Type: replace-cross Abstract: Graphical user interface (GUI) agents built on multimodal large language models (MLLMs) have recently

arXiv:2508.00017v4 Announce Type: replace-cross Abstract: We present Generative Logic (GL), a deterministic architecture that starts from user-supplied axiomati

arXiv:2509.05841v2 Announce Type: replace-cross Abstract: We give an overview on the emerging applications of GenAI in the financial industry, especially within

arXiv:2509.24956v2 Announce Type: replace-cross Abstract: Generative robot policies such as Flow Matching offer flexible, multi-modal policy learning but are sa

arXiv:2510.09734v2 Announce Type: replace-cross Abstract: Weather forecasting is a fundamental task in spatiotemporal data analysis, with broad applications acr

arXiv:2510.16187v2 Announce Type: replace-cross Abstract: Real-world multi-agent systems may require ad hoc teaming, where an agent must coordinate with other p

arXiv:2510.23364v2 Announce Type: replace-cross Abstract: Flood hazard mapping is essential for disaster prevention but remains challenging in data-scarce regio