AI Agents & Automation

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

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