Autonomous agents, tool use, and agentic systems
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...
Every agent I build forgets everything between sessions. I got tired of it and built brainctl. pip install brainctl, then: from agentmemo...
![[2602.13363] Assessing Spear-Phishing Website Generation in Large Language Model Coding Agents](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
This article evaluates the capabilities of large language models (LLMs) in generating spear-phishing websites, highlighting the potential...
The paper presents a theoretical framework for meta-learning, introducing the concept of algorithm-implicit learning through a new model ...
The paper presents 'Inner Loop Inference,' a method for enhancing pretrained Transformers by iteratively refining outputs during inferenc...
This paper presents a formal framework for explaining the decisions made by finite automata (FA), focusing on minimal input character set...
CellMaster introduces an AI-driven approach for zero-shot cell-type annotation in single-cell RNA sequencing, improving accuracy signific...
The paper presents FOREST, a diffusion-based world model for robotic stow operations, enhancing the prediction of post-stow configuration...
This article presents the Concepts' Information Bottleneck Models, which enhance the interpretability of predictions in machine learning ...
The paper presents MedScope, a clinical video reasoning model that enhances decision-making in medical contexts by integrating tool use a...
The HiST-VLA model enhances autonomous driving by integrating vision, language, and action through improved spatio-temporal reasoning and...
This paper presents a novel decoupled continuous-time reinforcement learning algorithm using Hamiltonian flow, addressing challenges in s...
The paper discusses replicable online learning algorithms in constrained multi-armed bandit (MAB) problems, demonstrating that replicabil...
The paper presents RNM-TD3, a novel approach to reinforcement learning that employs N:M structured sparsity, enhancing performance while ...
The paper introduces a novel framework for multi-agent reinforcement learning (MARL) that allows agents to create other agents, termed fl...
The paper presents Sim2Radar, a framework that generates synthetic radar data from RGB images, addressing the challenges of limited radar...
The paper presents the Agentic Spatio-Temporal Grounder (ASTG), a novel framework for Spatio-Temporal Video Grounding (STVG) that enhance...
This paper presents algorithms for the constrained multi-armed bandit (MAB) problem, addressing both stochastic and adversarial constrain...
PeroMAS introduces a multi-agent system for discovering perovskite materials, enhancing efficiency in photovoltaic research through a com...
The paper introduces Visual Para-Thinker, a novel framework for parallel reasoning in visual comprehension, addressing limitations in exi...
This paper introduces Covariance-Aware Transformers, a novel approach for solving quadratic programming (QP) problems, enhancing decision...
The paper presents Adaptive Value Decomposition (AVD), a framework for coordinating multi-agent systems in urban environments, addressing...
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