Autonomous agents, tool use, and agentic systems
Hi everyone, I’ve been exploring MCP and integrating tools like n8n with Claude Code, and I’m trying to understand how practical this rea...
Browser Rendering now exposes the Chrome DevTools Protocol, which means MCP clients can access a remote browser directly. That’s a pretty...
Anthropic launches Claude Managed Agents in public beta — composable APIs for shipping production AI agents 10x faster Handles sandboxing...
![[2602.13309] Adaptive Value Decomposition: Coordinating a Varying Number of Agents in Urban Systems](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
The paper presents Adaptive Value Decomposition (AVD), a framework for coordinating multi-agent systems in urban environments, addressing...
This paper revisits the Platonic Representation Hypothesis in neural networks, introducing a new Aristotelian perspective that emphasizes...
This article presents PCReg-Net, a novel framework for high-fidelity alignment in bidirectional photoacoustic microscopy, significantly i...
The paper presents TLVD, a novel causal modeling framework that integrates large language models with traditional causal discovery algori...
The paper introduces VisPhyWorld, a framework for evaluating physical reasoning in Multimodal Large Language Models (MLLMs) through code-...
Agent Mars presents a multi-agent simulation framework designed for efficient coordination in Mars base operations, addressing challenges...
The paper proposes Selective Synchronization Attention (SSA), a novel attention mechanism for Transformers that enhances computational ef...
The AGORA paper presents an innovative architecture for managing Beyond 5G networks, focusing on sustainability by integrating AI-driven ...
This article presents a large-scale study of Moltbook, an AI-only social platform, revealing how AI agents create complex social structur...
This paper presents a novel framework for rumor detection on social networks, utilizing Large Language Models (LLMs) to enhance the ident...
The paper presents WIMLE, a model-based reinforcement learning method that enhances sample efficiency by addressing model errors and unce...
This article presents a novel approach to zero-shot instruction following in reinforcement learning (RL) using structured linear temporal...
The paper presents Adaptive Efficient Rollout Optimization (AERO), an enhancement to Group Relative Policy Optimization (GRPO) for reinfo...
This article explores the integration of Conformal Signal Temporal Logic (CSTL) in reinforcement learning (RL) for enhancing safety and r...
This paper presents PhysioSER, a novel approach for speech emotion recognition that integrates physiological insights into vocal represen...
The paper presents Boltz as a competitive baseline for atom-level representation learning in molecular tasks, particularly in ADMET prope...
The paper introduces Machine Learning as a Tool (MLAT), a framework for integrating statistical ML models as callable tools within LLM wo...
KernelBlaster introduces a novel framework for optimizing CUDA code across GPU architectures using Memory-Augmented In-Context Reinforcem...
This study evaluates AI-generated assessments of K-12 science instructional materials, comparing them with expert reviews to enhance futu...
The paper discusses an adaptive group elicitation framework using multi-turn interactions with large language models (LLMs) to optimize r...
Get the latest news, tools, and insights delivered to your inbox.
Daily or weekly digest • Unsubscribe anytime