AI Agents & Automation

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

arXiv:2411.18235v3 Announce Type: replace-cross Abstract: We study the problem of learning verifiably Lyapunov-stable neural controllers that provably satisfy t

arXiv:2501.07813v2 Announce Type: replace-cross Abstract: Retrieval-augmented generation (RAG) agents are increasingly deployed to answer questions over local k

arXiv:2501.11782v2 Announce Type: replace-cross Abstract: As modern video games become increasingly complex, traditional manual testing methods are proving cost

arXiv:2504.18594v3 Announce Type: replace-cross Abstract: Compared to untargeted attacks, targeted transfer-based attack is still suffering from much lower Atta

arXiv:2505.05375v3 Announce Type: replace-cross Abstract: Recently, spiking neural networks (SNNs), deployed on neuromorphic chips, provide highly efficient sol

arXiv:2505.08548v3 Announce Type: replace-cross Abstract: Achieving generalization in robotic manipulation remains a critical challenge, particularly for unseen

arXiv:2505.15925v4 Announce Type: replace-cross Abstract: While autonomous driving (AD) stacks struggle with decision making under partial observability and rea

arXiv:2505.17087v2 Announce Type: replace-cross Abstract: This chapter explores the evolution, classification, and health implications of food processing, while

arXiv:2508.13998v2 Announce Type: replace-cross Abstract: Generalization in embodied AI is hindered by the "seeing-to-doing gap," which stems from data scarcity

arXiv:2509.11481v2 Announce Type: replace-cross Abstract: Humans are remarkably data-efficient when adapting to new unseen conditions, like driving a new car. I

arXiv:2509.12626v3 Announce Type: replace-cross Abstract: Aligning agentic AI with user intent is critical for delegating complex, socially embedded tasks, yet

arXiv:2509.22258v5 Announce Type: replace-cross Abstract: Recent advances in vision-language models (VLMs) have achieved remarkable performance on standard medi

arXiv:2510.09228v2 Announce Type: replace-cross Abstract: Adverse weather conditions such as haze, rain, and snow significantly degrade the quality of images an

arXiv:2510.16066v4 Announce Type: replace-cross Abstract: Despite accounting for 96.1% of all businesses in Malaysia, access to financing remains one of the mos

arXiv:2510.20728v3 Announce Type: replace-cross Abstract: Exact scientific discovery requires more than heuristic search: candidate constructions must be turned

arXiv:2512.03666v2 Announce Type: replace-cross Abstract: A core capability towards general embodied intelligence lies in localizing task-relevant objects from

arXiv:2512.03795v2 Announce Type: replace-cross Abstract: Autonomous Driving (AD) vehicles still struggle to exhibit human-like behavior in highly dynamic and i

arXiv:2512.18470v5 Announce Type: replace-cross Abstract: Existing benchmarks for AI coding agents focus on isolated, single-issue tasks such as fixing a bug or

arXiv:2601.08565v2 Announce Type: replace-cross Abstract: Video is a powerful medium for communication and storytelling, yet reauthoring existing footage remain

arXiv:2602.13458v2 Announce Type: replace-cross Abstract: Large-scale communities of AI agents are becoming increasingly prevalent, creating new environments fo

arXiv:2603.02050v3 Announce Type: replace-cross Abstract: Human collaborators coordinate dynamically through process visibility and workspace awareness, yet AI

arXiv:2603.03684v3 Announce Type: replace-cross Abstract: Recent developments show that AI can prove research-level theorems in mathematics, both formally and i

arXiv:2603.06977v2 Announce Type: replace-cross Abstract: Multi-agent reinforcement learning (MARL) is increasingly used to design learning-enabled agents that

arXiv:2603.09030v3 Announce Type: replace-cross Abstract: Action-conditioned video models offer a promising path to building general-purpose robot simulators th

arXiv:2603.12230v2 Announce Type: replace-cross Abstract: This article, a lightly adapted version of Perplexity's response to NIST/CAISI Request for Information

arXiv:2603.13343v2 Announce Type: replace-cross Abstract: Predictive maintenance for connected vehicles offers the potential to reduce unexpected breakdowns and

arXiv:2603.13842v2 Announce Type: replace-cross Abstract: End-to-end autonomous driving is typically built upon imitation learning (IL), yet its performance is

arXiv:2604.01676v2 Announce Type: replace-cross Abstract: GUI Process Automation (GPA) is a lightweight but general vision-based Robotic Process Automation (RPA

Microsoft ships Agent Framework 1.0 but Azure's agent stack still spans too many surfaces while Google and AWS offer cleaner developer paths.

AI anxiety isn’t mainly about smarter models — it’s about your old skill stack being optimized for a world that no longer exists. “Super-agency” is the upgrade: