Autonomous agents, tool use, and agentic systems
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...
Hey everyone, I’m building a project for my university Machine Learning course called "Social network analysis using iterated game theory...
![[2602.14968] PhyScensis: Physics-Augmented LLM Agents for Complex Physical Scene Arrangement](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
The paper introduces PhyScensis, a framework that uses physics-augmented LLM agents to generate complex 3D physical scenes for robotic ma...
AnchorWeave introduces a novel framework for video generation that enhances spatial consistency over long durations by utilizing multiple...
The paper proposes BFS-PO, a new reinforcement learning algorithm that enhances the performance of Large Reasoning Models by reducing com...
The paper presents a Bayesian flow network, specifically the ChemBFN model, which effectively generates out-of-distribution chemical samp...
This article presents a novel numerical framework for exploring shape functionals using neural networks, focusing on Blaschke–Santaló dia...
CT-Bench introduces a benchmark dataset for multimodal lesion understanding in CT scans, featuring 20,335 lesions and a visual question a...
This paper explores the impact of central fixation bias on evaluating human-like scanpaths in vision models, proposing a new metric to im...
The paper presents algorithms for online posterior sampling in contextual bandits using a diffusion model prior, enhancing the efficiency...
This article explores how cybercriminals are discussing and utilizing artificial intelligence (AI) to enhance their operations, revealing...
This article presents DABench, a benchmark for evaluating AI-based data assimilation methods in global weather forecasting, demonstrating...
This paper explores hallucinations in small-sized language models (LLMs) through a geometric lens, demonstrating that genuine responses c...
GraphFM introduces a scalable graph transformer that learns transferable representations across diverse domains, enhancing generalization...
This study investigates how community discussions influence humor generation in large language models (LLMs), demonstrating that feedback...
The paper discusses optimal design strategies for eliciting human preferences, focusing on efficient methods for gathering high-quality f...
This paper explores the efficiency of offline policy selection (OPS) in reinforcement learning, connecting it to off-policy evaluation (O...
ManeuverNet introduces a Soft Actor-Critic framework for enhancing the maneuverability of double-Ackermann-steering robots, addressing li...
This paper presents Pep, a novel approach for cold-start personalization that utilizes structured world models to improve user preference...
This article presents a novel Distributed Quantum Gaussian Process (DQGP) method for multi-agent systems, enhancing modeling capabilities...
ThermEval introduces a benchmark for evaluating vision-language models on thermal imagery, highlighting their limitations in temperature-...
The paper presents ST-EVO, a novel framework for generative spatio-temporal evolution of multi-agent communication topologies, enhancing ...
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