AI Agents & Automation

arXiv:2604.03715v1 Announce Type: cross Abstract: The Augmented Human vision broadly seeks to improve or expand baseline human functioning through the restorati

arXiv:2604.03759v1 Announce Type: cross Abstract: Enabling robots to learn long-horizon manipulation tasks from a handful of demonstrations remains a central ch

arXiv:2604.03883v1 Announce Type: cross Abstract: Effective ride-hailing dispatch requires anticipating demand patterns that vary substantially across time-of-d

arXiv:2604.03897v1 Announce Type: cross Abstract: We present a telecom-native auction mechanism for allocating bandwidth and time slots across heterogeneous-del

arXiv:2604.03905v1 Announce Type: cross Abstract: Heterogeneity is a defining feature of deployed multi-robot teams: platforms often differ in sensing modalitie

arXiv:2604.03955v1 Announce Type: cross Abstract: When autonomous agents observe different domains of a shared environment, each signal they exchange mixes rele

arXiv:2604.03968v1 Announce Type: cross Abstract: AI control protocols use monitors to detect attacks by untrusted AI agents, but standard single-score monitors

arXiv:2604.04078v1 Announce Type: cross Abstract: Cardiac magnetic resonance (CMR) is a cornerstone for diagnosing cardiovascular disease. However, it remains u

arXiv:2604.04138v1 Announce Type: cross Abstract: Dexterous manipulation requires planning a grasp configuration suited to the object and task, which is then ex

arXiv:2604.04194v1 Announce Type: cross Abstract: Automated decision-making is becoming key for automated characterization including electron and scanning probe

arXiv:2604.04196v1 Announce Type: cross Abstract: Evolutionary Robotics and Robot Learning are two fields in robotics that aim to automatically optimize robot d

arXiv:2604.04202v1 Announce Type: cross Abstract: AI agents deployed as persistent assistants must maintain correct beliefs as their information environment evo

arXiv:2604.04211v1 Announce Type: cross Abstract: Blockchain forensics inherently involves dynamic and iterative investigations, while many existing approaches

arXiv:2604.04225v1 Announce Type: cross Abstract: Learning robot control policies from demonstrations is a powerful paradigm, yet real-world data is often subop

arXiv:2604.04226v1 Announce Type: cross Abstract: Agentic Web, as a new paradigm that redefines the internet through autonomous, goal-driven interactions, plays

arXiv:2604.04262v1 Announce Type: cross Abstract: Autonomous underwater vehicles (AUVs) and sensor nodes increasingly support decentralized sensing and coordina

arXiv:2604.04265v1 Announce Type: cross Abstract: The AI-based sensing and autonomous monitoring have become the main components of wildfire early detection, bu

arXiv:2604.04374v1 Announce Type: cross Abstract: The rapid advancement of robotics, spanning expanded capabilities, more intuitive interaction, and more integr

arXiv:2604.04470v1 Announce Type: cross Abstract: Microcalcification (MC) analysis is clinically important in screening mammography because clustered puncta can

arXiv:2604.04485v1 Announce Type: cross Abstract: ECG biometrics has been studied mainly on small cohorts and short inter-session intervals, leaving open how id

arXiv:2604.04490v1 Announce Type: cross Abstract: This paper presents RAVEN, a computationally efficient deep learning architecture for FMCW radar perception. T

arXiv:2604.04552v1 Announce Type: cross Abstract: Ensemble methods are widely used to improve predictive performance, but their effectiveness often comes at the

arXiv:2604.04563v1 Announce Type: cross Abstract: Recent advances in vision--language pretraining have enabled strong medical foundation models, yet most analyz

arXiv:2604.04604v1 Announce Type: cross Abstract: AI agents - i.e. AI systems that autonomously plan, invoke external tools, and execute multi-step action chain

arXiv:2604.04634v1 Announce Type: cross Abstract: The rapid advancement of video generation models has enabled the creation of highly realistic synthetic media,

arXiv:2604.04664v1 Announce Type: cross Abstract: The integration of large language models (LLMs) with embodied agents has improved high-level reasoning capabil

arXiv:2604.04692v1 Announce Type: cross Abstract: Automated fact-checking is a crucial task not only in journalism but also across web platforms, where it suppo

arXiv:2604.04757v1 Announce Type: cross Abstract: AI agents are increasingly deployed to interact with other agents on behalf of users and organizations. We ask

arXiv:2604.04759v1 Announce Type: cross Abstract: OpenClaw, the most widely deployed personal AI agent in early 2026, operates with full local system access and

arXiv:2604.04786v1 Announce Type: cross Abstract: This paper presents a quantum search approach to combinatorial constraint satisfaction problems, demonstrated

arXiv:2604.04875v1 Announce Type: cross Abstract: Video mashup creation represents a complex video editing paradigm that recomposes existing footage to craft en

arXiv:2604.04901v1 Announce Type: cross Abstract: Coworking AI agents operating within local file systems are rapidly emerging as a paradigm in human-AI interac

arXiv:2604.04906v1 Announce Type: cross Abstract: Artificial intelligence (AI) changes social learning when aggregated outputs become training data for future p

arXiv:2604.04914v1 Announce Type: cross Abstract: Deep reinforcement learning (DRL) has shown remarkable performance on complex control problems in systems and

arXiv:2311.00855v3 Announce Type: replace Abstract: Human immunodeficiency virus (HIV) is a major public health concern in the United States (U.S.), with about

arXiv:2508.02900v2 Announce Type: replace Abstract: There is a broad consensus that the inability to form long-term plans is one of the key limitations of curre

arXiv:2510.23883v3 Announce Type: replace Abstract: Agentic AI systems powered by large language models (LLMs) and endowed with planning, tool use, memory, and

arXiv:2511.16383v2 Announce Type: replace Abstract: Recently, using Large Language Models (LLMs) to generate optimization models from natural language descripti

arXiv:2512.10821v2 Announce Type: replace Abstract: From content moderation to content curation, applications requiring vision classifiers for visual concepts a

arXiv:2512.13168v4 Announce Type: replace Abstract: We introduce FinWorkBench (a.k.a. Finch), a benchmark for evaluating agents on real-world, enterprise-grade

arXiv:2601.05656v3 Announce Type: replace Abstract: High-fidelity agent initialization is crucial for credible Agent-Based Modeling across diverse domains. A ro

arXiv:2602.11298v3 Announce Type: replace Abstract: We introduce Voxtral Realtime, a natively streaming automatic speech recognition model that matches offline

arXiv:2603.00495v2 Announce Type: replace Abstract: We introduce AI Runtime Infrastructure, a distinct execution-time layer that operates above the model and be

arXiv:2603.14869v2 Announce Type: replace Abstract: Reliable photovoltaic (PV) power generation requires timely detection of module defects that may reduce ener

arXiv:2603.18104v2 Announce Type: replace Abstract: Prevailing AI training infrastructure assumes reverse-mode automatic differentiation over IEEE-754 arithmeti

arXiv:2604.01487v2 Announce Type: replace Abstract: With the rise of personalized, persistent LLM agent frameworks such as OpenClaw, human-centered agentic soci

arXiv:2006.04363v2 Announce Type: replace-cross Abstract: Dyna-style reinforcement learning (RL) agents improve sample efficiency over model-free RL agents by u

arXiv:2407.14565v2 Announce Type: replace-cross Abstract: App markets have evolved into highly competitive and dynamic environments for developers. While the tr