Autonomous agents, tool use, and agentic systems
![[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
Abstract page for arXiv paper 2511.11483: ImAgent: A Unified Multimodal Agent Framework for Test-Time Scalable Image Generation
Abstract page for arXiv paper 2410.09134: Multi-Agent Actor-Critics in Autonomous Cyber Defense
This article presents a novel method for solving stiff dark matter equations using Jacobian Normalization within Physics-Informed Neural ...
The paper presents a method for reducing model disagreement in machine learning by using an anchoring technique, demonstrating its effect...
The paper introduces ParamMem, a parametric memory module designed to enhance language agents by enabling diverse reflective outputs, imp...
This article introduces 'Inferential Mechanics,' a framework combining causal theories with machine learning in chemical biology, address...
This paper investigates Takeuchi's Information Criterion (TIC) as a measure for generalization in deep neural networks (DNNs) near the ne...
This paper presents a generalized neural memory system that allows for flexible updates based on natural language instructions, addressin...
This article presents a novel retraining strategy for Reduced Order Models (ROMs) that enhances real-time adaptation for unsteady flows u...
The paper presents SmartChunk Retrieval, a query-aware framework that enhances retrieval-augmented generation (RAG) by adapting chunk siz...
The paper presents MetaOthello, a study exploring how transformers manage multiple world models through a controlled suite of Othello var...
This article presents a comparative analysis of neural retriever-reranker pipelines for retrieval-augmented generation (RAG) in e-commerc...
This article presents a novel framework for recommending quotations that are both unexpected and rational, enhancing the writing experien...
This article discusses a Retrieval-Augmented Generation (RAG) assistant designed for Anatomical Pathology laboratories, enhancing access ...
The paper presents Taxoria, a novel pipeline that enhances existing taxonomies using Large Language Models (LLMs), addressing issues of l...
This paper explores contextual online Reinforcement Learning with Human Feedback (RLHF) using a Generalized Bilinear Preference Model to ...
This survey reviews Neural Routing Solvers (NRSs) that utilize deep learning for vehicle routing problems, highlighting their heuristic n...
This article presents a multi-agent LLM framework for financial trading, emphasizing fine-grained task decomposition to enhance decision-...
The paper presents GRAVE2, GRAVER, and GRAVER2, enhanced algorithms for Generalized Rapid Action Value Estimation, addressing memory cons...
This paper explores the relationship between KM belief update and AGM belief revision, demonstrating that AGM can be viewed as a specific...
The paper presents EMPO², a novel hybrid RL framework that enhances exploration in memory-augmented LLM agents, achieving significant per...
The CXReasonAgent integrates large language models with diagnostic tools for improved reasoning in chest X-ray interpretations, addressin...
Get the latest news, tools, and insights delivered to your inbox.
Daily or weekly digest • Unsubscribe anytime