Autonomous agents, tool use, and agentic systems
I've been experimenting with multi-agent AI systems and ended up building something more ambitious than I originally planned: a fully ope...
I've been sitting with a question for a while: what happens when AI agents aren't just tools to be used, but participants in an economy? ...
![[2601.00809] A Modular Reference Architecture for MCP-Servers Enabling Agentic BIM Interaction](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
Abstract page for arXiv paper 2601.00809: A Modular Reference Architecture for MCP-Servers Enabling Agentic BIM Interaction
This paper introduces AILS-AHD, a novel approach that utilizes Large Language Models to enhance the Capacitated Vehicle Routing Problem (...
This paper presents a reinforcement learning approach to optimize multi-agent race strategies in Formula 1, focusing on energy management...
This paper explores the interpretability and steerability of state-space models (SSMs) by identifying activation subspace bottlenecks and...
The paper presents a framework for improving AI diagnostic alignment in clinical settings by preserving AI-generated reports as immutable...
The paper presents GeoPerceive, a benchmark for evaluating geometric perception in vision-language models (VLMs), and introduces GeoDPO, ...
The paper presents SPM-Bench, a benchmark for evaluating large language models in scanning probe microscopy, addressing gaps in existing ...
FactGuard introduces an innovative framework for detecting video misinformation using reinforcement learning, enhancing the capabilities ...
This paper introduces a framework for evaluating general-purpose agents, proposing a Unified Protocol and Exgentic framework, and benchma...
This article presents a machine learning framework for forecasting antimicrobial resistance (AMR) trends using WHO GLASS data, highlighti...
The paper introduces OmniGAIA, a benchmark for evaluating omni-modal AI agents that integrate vision, audio, and language for complex rea...
This article presents a novel approach to knowledge tracing using a Large Language Model (LLM) to enhance the understanding of student le...
This article explores the role of AI in mathematical research, highlighting both its capabilities and limitations through a case study on...
DeepPresenter introduces an innovative framework for generating presentations that adapts to user needs and incorporates environmental fe...
The paper presents ContextRL, a framework that enhances knowledge discovery efficiency in multi-layered language models (MLLMs) through c...
This article presents a human-centered model for agentic AI design, focusing on when AI should act based on contextual understanding and ...
MiroFlow is an innovative open-source agent framework designed to enhance the performance and robustness of large language models in comp...
The paper introduces AMA-Bench, a new benchmark for evaluating long-horizon memory in Large Language Models (LLMs) for agentic applicatio...
The paper proposes EGPO, a metacognitive entropy calibration framework that integrates intrinsic uncertainty into reinforcement learning ...
The paper presents IBCircuit, a novel framework for holistic circuit discovery in machine learning models using the Information Bottlenec...
The paper introduces 'Knob', a physics-inspired framework that enhances neural network calibration by allowing dynamic adjustments to mod...
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