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...
![[2602.14983] Orthogonalized Multimodal Contrastive Learning with Asymmetric Masking for Structured Representations](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
The paper presents COrAL, a novel framework for multimodal contrastive learning that effectively separates redundant, unique, and synergi...
The paper introduces Tk-Boost, a framework enhancing NL2SQL agents by integrating tribal knowledge to correct misconceptions during datab...
This paper introduces a method for enhancing Causal Foundation Models (CFMs) by incorporating partial causal graph information, improving...
The paper presents a novel approach to multi-objective learning that adapts to changing data distributions, enhancing prediction accuracy...
This article explores the role of Edge AI in biodiversity monitoring, analyzing 82 studies to assess system types, architectural trade-of...
The paper presents ToolSelect, a novel method for selecting task-specialized models in healthcare systems, demonstrating superior perform...
This article explores how multimodal large language models (MLLMs) enhance access to visual information for blind and low vision individu...
This paper explores the learning dynamics of Reinforcement Learning with Verifiable Rewards (RLVR), focusing on its effectiveness in over...
The paper introduces Goldilocks RL, a novel approach in reinforcement learning that adjusts task difficulty to enhance reasoning capabili...
The paper presents BEACONS, a framework for creating bounded-error neural solvers for partial differential equations (PDEs), enhancing re...
MoltNet explores the social behavior of AI agents on the MoltBook platform, revealing insights into their interactions and similarities t...
The paper presents Atomix, a runtime system designed to enhance the reliability of agentic workflows by implementing progress-aware trans...
FlowHOI presents a novel framework for generating hand-object interactions in robotic manipulation, enhancing the realism and efficiency ...
This paper introduces Interactionless Inverse Reinforcement Learning, a framework aimed at improving AI alignment by decoupling safety ob...
This paper explores state-tracking in machine learning, specifically using linear RNNs for permutation composition tasks, highlighting th...
The paper introduces Protect$^*$, a neuro-symbolic framework that enhances retrosynthesis by integrating Large Language Models with chemi...
This article presents a new benchmark, MT-AgentRisk, for evaluating safety risks in multi-turn interactions of tool-using agents, reveali...
This article presents a novel reference-free evaluation framework for assessing the quality of flowchart image-to-code generation, utiliz...
The paper presents G2CP, a novel communication protocol for multi-agent systems that enhances efficiency and verifiability by using graph...
This paper explores the use of graph neural networks (GNNs) for predicting algorithm performance in combinatorial auctions, focusing on i...
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