AI Agents & Automation

arXiv:2603.29353v1 Announce Type: new Abstract: We introduce Nomad, a system for autonomous data exploration and insight discovery. Given a corpus of documents,

arXiv:2603.29399v1 Announce Type: new Abstract: Constructing Extract-Load-Transform (ELT) pipelines is a labor-intensive data engineering task and a high-impact

arXiv:2603.29640v1 Announce Type: new Abstract: Can AI accelerate the development of AI itself? While recent agentic systems have shown strong performance on we

arXiv:2603.29643v1 Announce Type: new Abstract: Blood donation centers face challenges in matching supply with demand while managing donor availability. Althoug

arXiv:2603.29678v1 Announce Type: new Abstract: Agent traces carry increasing analytical value in the era of context learning and harness-driven agentic cogniti

arXiv:2603.29693v1 Announce Type: new Abstract: A robust decision-making process must take into account uncertainty, especially when the choice involves inheren

arXiv:2603.29709v1 Announce Type: new Abstract: Medical coding translates free-text clinical documentation into standardized codes drawn from classification sys

arXiv:2603.29723v1 Announce Type: new Abstract: Retrosynthetic planning is a fundamental task in organic chemistry, yet remains challenging due to its combinato

arXiv:2603.29755v1 Announce Type: new Abstract: Modern manufacturing environments demand real-time, trustworthy, and interpretable root-cause insights to sustai

arXiv:2603.29761v1 Announce Type: new Abstract: A human-like chess engine should mimic the style, errors, and consistency of a strong human player rather than m

arXiv:2603.29828v1 Announce Type: new Abstract: Scientific discovery increasingly depends on high-throughput characterization, yet automation is hindered by pro

arXiv:2603.29868v1 Announce Type: new Abstract: The reliability of autonomous systems depends on their robustness, i.e., their ability to meet their objectives

arXiv:2603.29950v1 Announce Type: new Abstract: Effective collaboration requires teams to manage complex cognitive and emotional states through Socially Shared

arXiv:2603.29993v1 Announce Type: new Abstract: Myopic Optimization with Non-myopic Approval (MONA) mitigates multi-step reward hacking by restricting the agent

arXiv:2603.28774v1 Announce Type: cross Abstract: This demo introduces Focus360, a system designed to enhance user engagement in 360{\deg} VR videos by guiding

arXiv:2603.28796v1 Announce Type: cross Abstract: Boolean satisfiability (SAT) problem, the first problem proven to be NP-complete, has become a fundamental cha

arXiv:2603.28803v1 Announce Type: cross Abstract: Double-Deck Multi-Agent Pickup and Delivery (DD-MAPD) models the multi-robot shelf rearrangement problem in au

arXiv:2603.28813v1 Announce Type: cross Abstract: In multi-agent debate (MAD) systems, performance gains are often reported; however, because the debate protoco

arXiv:2603.28815v1 Announce Type: cross Abstract: This technical report presents SkillTester, a tool for evaluating the utility and security of agent skills. It

arXiv:2603.28825v1 Announce Type: cross Abstract: Artificial intelligence (AI) is widely promoted as a promising technological response to healthcare capacity a

arXiv:2603.28838v1 Announce Type: cross Abstract: Intrusion Detection System (IDS) is often calibrated to known attacks and generalizes poorly to unknown threat

arXiv:2603.28887v1 Announce Type: cross Abstract: Data-driven autonomous driving simulation has long been constrained by its heavy reliance on pre-recorded driv

arXiv:2603.28900v1 Announce Type: cross Abstract: We address robust separation assurance for small Unmanned Aircraft Systems (sUAS) under GPS degradation and sp

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