Autonomous agents, tool use, and agentic systems
FALLS CHURCH, Virginia. BAE Systems and Scale AI have signed a strategic relationship agreement to speed the development and fielding of ...
Al agents are running on infrastructure built for humans. Every state check runs 9 shell commands. Every cold start re-discovers context ...
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![[2603.19896] Utility-Guided Agent Orchestration for Efficient LLM Tool Use](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
Abstract page for arXiv paper 2603.19896: Utility-Guided Agent Orchestration for Efficient LLM Tool Use
Abstract page for arXiv paper 2603.19782: Embodied Science: Closing the Discovery Loop with Agentic Embodied AI
Abstract page for arXiv paper 2603.19639: HyEvo: Self-Evolving Hybrid Agentic Workflows for Efficient Reasoning
Bonfy.AI CEO Gidi Cohen on why AI agent security starts at the data layer, and what CISOs must do before agents expose sensitive data.
I've been working on CodexLib (codexlib.io) — think of it as the Library of Alexandria, but for AI. The core idea: AI agents waste massiv...
Shoot me a DM if interested! submitted by /u/discobee123 [link] [comments]
Discover how to secure agentic AI and protect against threats with new capabilities across Microsoft Agent 365, Microsoft Entra, Microsof...
3 points | 0 comments | by enzovn
Abstract page for arXiv paper 2601.18157: Agentic Very Long Video Understanding
Abstract page for arXiv paper 2512.21039: Agentic Multi-Persona Framework for Evidence-Aware Fake News Detection
Abstract page for arXiv paper 2512.03194: GRAND: Guidance, Rebalancing, and Assignment for Networked Dispatch in Multi-Agent Path Finding
Abstract page for arXiv paper 2510.17276: Breaking and Fixing Defenses Against Control-Flow Hijacking in Multi-Agent Systems
Abstract page for arXiv paper 2508.20315: Multi-Agent Reinforcement Learning in Intelligent Transportation Systems: A Comprehensive Survey
Abstract page for arXiv paper 2512.15163: MCP-SafetyBench: A Benchmark for Safety Evaluation of Large Language Models with Real-World MCP...
Abstract page for arXiv paper 2511.03153: RefAgent: A Multi-agent LLM-based Framework for Automatic Software Refactoring
Abstract page for arXiv paper 2510.20333: GhostEI-Bench: Do Mobile Agents Resilience to Environmental Injection in Dynamic On-Device Envi...
Abstract page for arXiv paper 2505.19255: VTool-R1: VLMs Learn to Think with Images via Reinforcement Learning on Multimodal Tool Use
Abstract page for arXiv paper 2512.07081: ClinNoteAgents: An LLM Multi-Agent System for Predicting and Interpreting Heart Failure 30-Day ...
Abstract page for arXiv paper 2505.04997: Foam-Agent: Towards Automated Intelligent CFD Workflows
Abstract page for arXiv paper 2603.05471: Leveraging LLM Parametric Knowledge for Fact Checking without Retrieval
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