AI Agents & Automation

arXiv:2603.27929v1 Announce Type: cross Abstract: Reconstructing continuous physical fields from sparse, irregular observations is a central challenge in scient

arXiv:2603.28032v1 Announce Type: cross Abstract: The convergence of low-altitude economies, embodied intelligence, and air-ground cooperative systems creates g

arXiv:2603.28196v1 Announce Type: cross Abstract: As AI becomes embedded in customer-facing systems, ethical scrutiny has largely focused on models, data, and g

arXiv:2603.28217v1 Announce Type: cross Abstract: Decarbonization in buildings calls for advanced control strategies that coordinate on-site renewables, grid el

arXiv:2603.28306v1 Announce Type: cross Abstract: Self++ is a design blueprint for human-AI symbiosis in extended reality (XR) that preserves human authorship w

arXiv:2603.28376v1 Announce Type: cross Abstract: Deep research agents autonomously conduct open-ended investigations, integrating complex information retrieval

arXiv:2603.28421v1 Announce Type: cross Abstract: Generating and preserving metrologically useful quantum states is a central challenge in quantum-enhanced atom

arXiv:2603.28429v1 Announce Type: cross Abstract: The demand for high-speed, low-latency, and energy-efficient object detection in autonomous systems -- such as

arXiv:2603.28474v1 Announce Type: cross Abstract: The connoisseurship of antique Chinese porcelain demands extensive historical expertise, material understandin

arXiv:2603.28498v1 Announce Type: cross Abstract: Accurate MRI-to-CT synthesis could enable MR-only pelvic workflows by providing CT-like images with bone detai

arXiv:2603.28522v1 Announce Type: cross Abstract: We present LAD, a real-time language--action planner with an interruptible architecture that produces a motion

arXiv:2603.28532v1 Announce Type: cross Abstract: Low left ventricular ejection fraction (LEF) frequently remains undetected until progression to symptomatic he

arXiv:2603.28583v1 Announce Type: cross Abstract: Despite the success of Vision-Language Models (VLMs), misleading charts remain a significant challenge due to

arXiv:2603.28625v1 Announce Type: cross Abstract: Pure Pursuit (PP) is a widely used path-tracking algorithm in autonomous vehicles due to its simplicity and re

arXiv:2603.28731v1 Announce Type: cross Abstract: Modern distributed systems integrate heterogeneous services, REST APIs with different schema versions, GraphQL

arXiv:2603.28735v1 Announce Type: cross Abstract: AI-augmented ecosystems (interconnected systems where multiple AI components interact through shared data and

arXiv:2504.06188v2 Announce Type: replace Abstract: AI agents can extend their capabilities at inference time by loading reusable skills into context, yet equip

arXiv:2507.17988v2 Announce Type: replace Abstract: Qualitative timeline-based planning models domains as sets of independent, but interacting, components whose

arXiv:2509.00761v3 Announce Type: replace Abstract: We present L-MARS (Legal Multi-Agent Workflow with Orchestrated Reasoning and Agentic Search), a multi-agent

arXiv:2510.08847v2 Announce Type: replace Abstract: We introduce the Agent GPA (Goal-Plan-Action) framework, driven by the fundamental insight that critical age

arXiv:2510.14035v2 Announce Type: replace Abstract: We introduce an uncertainty-aware graph representation framework for learning to guide planning in Partially

arXiv:2511.14043v3 Announce Type: replace Abstract: AI Scientific Assistant Core (AISAC) is a transparent, modular multi-agent runtime developed at Argonne Nati

arXiv:2512.08492v3 Announce Type: replace Abstract: Recent advances in Large Language Models have revolutionized function-level code generation; however, reposi

arXiv:2512.21782v2 Announce Type: replace Abstract: There has been unprecedented interest in developing agents that expand the boundary of scientific discovery,

arXiv:2603.04528v2 Announce Type: replace Abstract: Mathematical concepts emerge through an interplay of processes, including experimentation, efforts at proof,

arXiv:2603.06082v3 Announce Type: replace Abstract: Recent advances in deep learning inspired neural network-based approaches to computational materials discove

arXiv:2603.11382v4 Announce Type: replace Abstract: How can we determine whether an AI system preserves itself as a deeply held objective or merely as an instru

arXiv:2310.16472v4 Announce Type: replace-cross Abstract: We investigate semiring provenance--a successful framework originally defined in the relational databa

arXiv:2404.15390v3 Announce Type: replace-cross Abstract: Optimal computations under uncertainty require an adequate probabilistic representation about beliefs.

arXiv:2409.03166v3 Announce Type: replace-cross Abstract: Interactive robot learning is a challenging problem as the robot is present with human users who expec

arXiv:2410.09134v2 Announce Type: replace-cross Abstract: The need for autonomous and adaptive defense mechanisms has become paramount in the rapidly evolving l

arXiv:2410.21086v3 Announce Type: replace-cross Abstract: Road safety remains a critical challenge worldwide, with approximately 1.35 million fatalities annuall

arXiv:2501.08096v4 Announce Type: replace-cross Abstract: Reinforcement Learning (RL) has shown excellent performance in solving decision-making and control pro

arXiv:2505.04880v2 Announce Type: replace-cross Abstract: Understanding the high-level conceptual structure of quantum algorithms from their low-level circuit r

arXiv:2510.05145v2 Announce Type: replace-cross Abstract: Deep research agents, which synthesize information across diverse sources, are significantly constrain

arXiv:2510.06961v4 Announce Type: replace-cross Abstract: We present the Open ASR Leaderboard, a reproducible benchmarking platform with community contributions

arXiv:2510.09328v2 Announce Type: replace-cross Abstract: We study the problem of constructing Steiner Minimal Trees (SMTs) in hyperbolic space. Exact SMT compu

arXiv:2510.13044v2 Announce Type: replace-cross Abstract: Human motion is inherently diverse and semantically rich, while also shaped by the surrounding scene.

arXiv:2510.14884v2 Announce Type: replace-cross Abstract: In high-stakes AI applications, even a single action can cause irreparable damage. However, nearly all

arXiv:2510.16082v3 Announce Type: replace-cross Abstract: Interpreting gene clusters from RNA-seq remains challenging, especially in antimicrobial resistance st

arXiv:2510.16518v2 Announce Type: replace-cross Abstract: Advances in open-vocabulary semantic mapping and object navigation have enabled robots to perform an i

arXiv:2511.07014v2 Announce Type: replace-cross Abstract: Probabilistic forecasting is crucial in multivariate financial time-series for constructing efficient

arXiv:2511.07732v2 Announce Type: replace-cross Abstract: Can we turn a video prediction model into a robot policy? Videos, including those of humans or teleope

arXiv:2512.17396v2 Announce Type: replace-cross Abstract: In this work, we introduce RadImageNet-VQA, a large-scale dataset designed to advance radiologic visua

arXiv:2512.22065v2 Announce Type: replace-cross Abstract: Real-time, streaming interactive avatars represent a critical yet challenging goal in digital human re

arXiv:2601.00809v2 Announce Type: replace-cross Abstract: Agentic workflows driven by large language models (LLMs) are increasingly applied to Building Informat

arXiv:2601.04497v2 Announce Type: replace-cross Abstract: Modern forest monitoring workflows increasingly benefit from the growing availability of high-resoluti

arXiv:2601.11065v2 Announce Type: replace-cross Abstract: Fairness in automated decision-making has become a critical concern, particularly in high-pressure hea