主题图谱 / artificial intelligence

artificial intelligence

GeneTech 知识引擎共收录 7921 篇相关科研实体，横跨 30 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

年度产出趋势

相关主题

代表性文献（按质量分排序，前 60 条）

• Affordance-Compiled Intelligence: Observable-Only Cognitive Impedance Matching for No-Meta LLM-Integrated Systems
  2026 · AI Agent 生态 · Affordance-Compiled Intelligence develops Cognitive Impedance Matching Theory (CIMT), an observable-only and no-meta protected compiler theory for LLM-integrated systems. The paper studies how a fixed model-policy can ex…
• A Survey of Large Language Models
  2026 · AI Agent 生态 · Abstract The rapid evolution of large language models (LLMs) has driven a transformative shift in artificial intelligence (AI), reshaping both research paradigms and practical applications. Distinguished from their prede…
• AI Agents vs. Agentic AI: A Conceptual taxonomy, applications and challenges
  2025 · AI Agent 生态 · Information fusion, in the context of the Generative AI era, must distinguish AI Agents from Agentic AI. This review critically distinguishes between AI Agents and Agentic AI, offering a structured, conceptual taxonomy, …
• Agentic AI: Autonomous Intelligence for Complex Goals—A Comprehensive Survey
  2025 · AI Agent 生态 · Agentic AI, an emerging paradigm in artificial intelligence, refers to autonomous systems designed to pursue complex goals with minimal human intervention. Unlike traditional AI, which depends on structured instructions …
• AI Agents and Agentic AI–navigating a plethora of concepts for future manufacturing
  2025 · AI Agent 生态 · AI agents are autonomous systems designed to perceive, reason, and act within dynamic environments. With the rapid advancements in generative AI (GenAI), large language models (LLMs) and multimodal large language models …
• AI Agents in Clinical Medicine: A Systematic Review
  2025 · AI Agent 生态 · Background: AI agents built on large language models (LLMs) can plan tasks, use external tools, and coordinate with other agents. Unlike standard LLMs, agents can execute multi-step processes, access real-time clinical i…
• Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
  2025 · AI Agent 生态 · Large Language Models (LLMs) have demonstrated remarkable prowess in generating contextually coherent responses, yet their fixed context windows pose fundamental challenges for maintaining consistency over prolonged mult…
• ChatExosome: An Artificial Intelligence (AI) Agent Based on Deep Learning of Exosomes Spectroscopy for Hepatocellular Carcinoma (HCC) Diagnosis
  2025 · AI Agent 生态 · Large language models (LLMs) hold significant promise in the field of medical diagnosis. There are still many challenges in the direct diagnosis of hepatocellular carcinoma (HCC). α-Fetoprotein (AFP) is a commonly used t…
• The rise and potential of large language model based agents: a survey
  2025 · AI Agent 生态 · For a long time, humanity has pursued artificial intelligence (AI) equivalent to or surpassing the human level, with AI agents considered a promising vehicle for this pursuit. AI agents are artificial entities that sense…
• Towards user-centered interactive medical image segmentation in VR with an assistive AI agent.
  2025 · AI Agent 生态 · Crucial in disease analysis and surgical planning, manual segmentation of volumetric medical scans (e.g. MRI, CT) is laborious, error-prone, and challenging to master, while fully automatic algorithms can benefit from us…
• OccuTriage: An AI Agent Orchestration Framework for Occupational Health Triage Prediction
  2025 · AI Agent 生态 · Occupational Health (OH) triage is a systematic process for evaluating and prioritising workplace health concerns to determine appropriate care and interventions.This research addresses critical triage challenges through…
• Toward Robust Security Orchestration and Automated Response in Security Operations Centers with a Hyper-Automation Approach Using Agentic Artificial Intelligence
  2025 · AI Agent 生态 · The evolving landscape of cybersecurity threats demands the modernization of Security Operations Centers (SOCs) to enhance threat detection, response, and mitigation. Security Orchestration, Automation, and Response (SOA…
• Agentic Workflows for Improving Large Language Model Reasoning in Robotic Object-Centered Planning
  2025 · AI Agent 生态 · Large Language Models (LLMs) provide cognitive capabilities that enable robots to interpret and reason about their workspace, especially when paired with semantically rich representations like semantic maps. However, the…
• RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation
  2025 · AI Agent 生态 · Retrieval-augmented generation (RAG) has emerged as a pivotal technology in natural language processing, owing to its efficacy in generating factual content.However, its informative inputs and complex paradigms often lea…
• Toward LLM-agent-based modeling of transportation systems: A conceptual framework
  2025 · AI Agent 生态 · In transportation system demand modeling and simulation, agent-based models and microsimulations are current state-of-the-art approaches. However, existing agent-based models still have some limitations on behavioral rea…
• From LLM to Agent: A large-language-model-driven machine learning framework for catalyst design of MgH2 dehydrogenation
  2025 · AI Agent 生态 · • AI framework automates MgH 2 catalyst data extraction from literature. • LLM to Agent approach accelerates MgH 2 catalyst discovery and design. • Machine learning predicts MgH 2 dehydrogenation with high accuracy. • Ca…
• The Rise of Agentic AI: A Review of Definitions, Frameworks, Architectures, Applications, Evaluation Metrics, and Challenges
  2025 · AI Agent 生态 · Agentic AI systems are a recently emerged and important approach that goes beyond traditional AI, generative AI, and autonomous systems by focusing on autonomy, adaptability, and goal-driven reasoning. This study provide…
• HEAL-KGGen: A Hierarchical Multi-Agent LLM Framework with Knowledge Graph Enhancement for Genetic Biomarker-Based Medical Diagnosis
  2025 · AI Agent 生态 · ABSTRACT The discovery and validation of genetic biomarkers across diverse diseases demand intelligent systems capable of integrating complex multi-omics data with clinical relevance. We introduce HEAL-KGGen, an end-to-e…
• Multi-Model Dialectical Evaluation of LLM Reasoning Chains: A Structured Framework with Dual Scoring Agents
  2025 · AI Agent 生态 · (1) Background and objectives: Large language models (LLMs) such as GPT, Mistral, and LLaMA exhibit strong capabilities in text generation, yet assessing the quality of their reasoning—particularly in open-ended and argu…
• Evaluating Faithfulness in Agentic RAG Systems for e-Governance Applications Using LLM-Based Judging Frameworks
  2025 · AI Agent 生态 · As Large Language Models (LLMs) are core components in Retrieval-Augmented Generation (RAG) systems for knowledge-intensive tasks, concerns regarding hallucinations, redundancy, and unverifiable outputs have intensified,…
• Generative AI Agents With Large Language Model for Satellite Networks via a Mixture of Experts Transmission
  2024 · AI Agent 生态 · In response to the needs of 6G global communications, satellite communication networks have emerged as a key solution. However, the large-scale development of satellite communication networks is constrained by complex sy…
• Large‐Language‐Model‐Based AI Agent for Organic Semiconductor Device Research
  2024 · AI Agent 生态 · Large language models (LLMs) have attracted widespread attention recently, however, their application in specialized scientific fields still requires deep adaptation. Here, an artificial intelligence (AI) agent for organ…
• The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey
  2024 · AI Agent 生态 · This survey paper examines the recent advancements in AI agent implementations, with a focus on their ability to achieve complex goals that require enhanced reasoning, planning, and tool execution capabilities. The prima…
• Dynamic Multi-Agent Orchestration and Retrieval for Multi-Source Question-Answer Systems using Large Language Models
  2024 · AI Agent 生态 · We propose a methodology that combines several advanced techniques in Large Language Model (LLM) retrieval to support the development of robust, multi-source questionanswer systems. This methodology is designed to integr…
• Agent4EDU: Advancing AI for Education with Agentic Workflows
  2024 · AI Agent 生态 · The vigorous development of artificial intelligence (AI) represented by large language models (LLMs) has rapidly promoted the updating and development of educational technology. Agentic workflows (AWs) built based on LLM…
• ChainStream: A Stream-based LLM Agent Framework for Continuous Context Sensing and Sharing
  2024 · AI Agent 生态 · This paper introduces ChainStream, an LLM-based framework for building and serving context-aware AI agents. Driven by the goal to enable context awareness of LLM agents and flexible information sharing between them, we a…
• SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models
  2024 · AI Agent 生态 · In this work, we introduce SMART-LLM, an innovative framework designed for embodied multi-robot task planning. SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models (LLMs), harnesses the power of L…
• Application of LLM Agents in Recruitment: A Novel Framework for Resume Screening
  2024 · AI Agent 生态 · The automation of resume screening is a crucial aspect of the recruitment process in organizations. Automated resume screening systems often encompass a range of natural language processing (NLP) tasks. This paper introd…
• KG4Diagnosis: A Hierarchical Multi-Agent LLM Framework with Knowledge Graph Enhancement for Medical Diagnosis
  2024 · AI Agent 生态 · Integrating Large Language Models (LLMs) in healthcare diagnosis demands systematic frameworks that can handle complex medical scenarios while maintaining specialized expertise. We present KG4Diagnosis, a novel hierarchi…
• SurrealDriver: Designing LLM-powered Generative Driver Agent Framework based on Human Drivers’ Driving-thinking Data
  2024 · AI Agent 生态 · Leveraging advanced reasoning capabilities and extensive world knowledge of large language models (LLMs) to construct generative agents for solving complex real-world problems is a major trend. However, LLMs inherently l…
• AGILE: A Novel Reinforcement Learning Framework of LLM Agents
  2024 · AI Agent 生态 · We introduce a novel reinforcement learning framework of LLM agents named AGILE (AGent that Interacts and Learns from Environments) designed to perform complex conversational tasks with users, leveraging LLMs, memory, to…
• FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
  2024 · AI Agent 生态 · Recent advancements in Large Language Models (LLMs) have exhibited notable efficacy in question-answering (QA) tasks across diverse domains. Their prowess in integrating extensive web knowledge has fueled interest in dev…
• AI Agentic workflows and Enterprise APIs: Adapting API architectures for the age of AI agents
  2025 · AI Agent 生态 · The rapid advancement of Generative AI has catalyzed the emergence of autonomous AI agents, presenting unprecedented challenges for enterprise computing infrastructures. Current enterprise API architectures are predomina…
• Mobility AI Agents and Networks
  2024 · AI Agent 生态 · Intelligent vehicles and smart mobility systems are at the forefront of transportation evolution, yet effective management of these new mobility technologies and services are non-trivial. This perspective presents an Int…
• A survey on large language model based autonomous agents
  2024 · AI Agent 生态 · Abstract Autonomous agents have long been a research focus in academic and industry communities. Previous research often focuses on training agents with limited knowledge within isolated environments, which diverges sign…
• MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution
  2024 · AI Agent 生态 · In software development, resolving the emergent issues within GitHub repositories is a complex challenge that involves not only the incorporation of new code but also the maintenance of existing code. Large Language Mode…
• Why Johnny Can’t Prompt: How Non-AI Experts Try (and Fail) to Design LLM Prompts
  2023 · AI Agent 生态 · Pre-trained large language models (“LLMs”) like GPT-3 can engage in fluent, multi-turn instruction-taking out-of-the-box, making them attractive materials for designing natural language interactions. Using natural langua…
• Feedback-Based Self-Learning in Large-Scale Conversational AI Agents
  2020 · AI Agent 生态 · Today, most of the large-scale conversational AI agents such as Alexa, Siri, or Google Assistant are built using manually annotated data to train the different components of the system including Automatic Speech Recognit…
• FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models
  2024 · AI Agent 生态 · As financial institutions and professionals increasingly incorporate Large Language Models (LLMs) into their workflows, substantial barriers, including proprietary data and specialized knowledge, persist between the fina…
• ChatMOF: an artificial intelligence system for predicting and generating metal-organic frameworks using large language models
  2024 · AI Agent 生态 · ChatMOF is an artificial intelligence (AI) system that is built to predict and generate metal-organic frameworks (MOFs). By leveraging a large-scale language model (GPT-4, GPT-3.5-turbo, and GPT-3.5-turbo-16k), ChatMOF e…
• Generative artificial intelligence (AI) powered conversational educational agents: The inevitable paradigm shift
  2023 · AI Agent 生态 · Generative AI, specifically ChatGPT, represents a significant technological advancement in natural language processing (NLP) large language models (LLM) with far-reaching implications in many dimensions of our lives, inc…
• AgentsBench: A Multi-Agent LLM Simulation Framework for Legal Judgment Prediction
  2025 · AI Agent 生态 · The justice system has increasingly applied AI techniques for legal judgment to enhance efficiency. However, most AI techniques focus on decision-making outcomes, failing to capture the deliberative nature of the real-wo…
• EvalAI: Towards Better Evaluation Systems for AI Agents
  2019 · AI Agent 生态 · We introduce EvalAI, an open source platform for evaluating and comparing machine learning (ML) and artificial intelligence algorithms (AI) at scale. EvalAI is built to provide a scalable solution to the research communi…
• AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
  2018 · AI Agent 生态 · Although geospatial question answering systems have received increasing attention in recent years, existing prototype systems struggle to properly answer qualitative spatial questions. In this work, we propose a unique f…
• Self-Triggered Consensus for Multi-Agent Systems With Zeno-Free Triggers
  2015 · AI Agent 生态 · In this technical note, a self-triggered consensus algorithm for multi-agent systems has been proposed. Each agent receives the state information of its neighbors and computes the average state of its neighborhood. Based…
• Secondary control of microgrids based on distributed cooperative control of multi‐agent systems
  2013 · AI Agent 生态 · This study proposes a secondary voltage and frequency control scheme based on the distributed cooperative control of multi‐agent systems. The proposed secondary control is implemented through a communication network with…
• Simulating Autonomous Agents in Augmented Reality
  2008 · AI Agent 生态 · In many critical applications such as airport operations (for capacity planning), military simulations (for tactical training and planning), and medical simulations (for the planning of medical treatment and surgical ope…
• An evolutionary autonomous agents approach to image feature extraction
  1997 · AI Agent 生态 · This paper presents a new approach to image feature extraction which utilizes evolutionary autonomous agents. Image features are often mathematically defined in terms of the gray-level intensity at image pixels. The opti…
• Aethon: A Reference-Based Replication Primitive for Constant-Time Instantiation of Stateful AI Agents
  2026 · AI Agent 生态 · The transition from stateless model inference to stateful agentic execution is reshaping the systems assumptions underlying modern AI infrastructure. While large language models have made persistent, tool-using, and coll…
• Reward Modeling for Multi-Agent Orchestration
  2026 · AI Agent 生态 · Multi-Agent Systems (MAS) built on Large Language Models (LLMs) require effective orchestration to coordinate specialized agents, yet training such orchestrators is hindered by limited supervision and high computational …
• SPEAR: An Engineering Case Study of Multi-Agent Coordination for Smart Contract Auditing
  2026 · AI Agent 生态 · We present SPEAR, a multi-agent coordination framework for smart contract auditing that applies established MAS patterns in a realistic security analysis workflow. SPEAR models auditing as a coordinated mission carried o…
• AEVAL: From Anecdotal to Deterministic Testing for Agentic Skill Workflows
  2026 · AI Agent 生态 · Modern agentic systems increasingly rely on skills: installable packages of natural language and code that teach an LLM agent to perform a domain task. As skill repositories grow, developers need automated quality signal…
• Learning to Compose for Cross-domain Agentic Workflow Generation
  2026 · AI Agent 生态 · Automatically generating agentic workflows -- executable operator graphs or codes that orchestrate reasoning, verification, and repair -- has become a practical way to solve complex tasks beyond what single-pass LLM gene…
• LLMoxie: Exploring Agentic AI for Scientific Software Development
  2026 · AI Agent 生态 · In this paper, we describe LLMoxie, an institutional AI platform whose three-tiered architecture supports multi-cloud and on-premise inference, a LiteLLM/MLflow control plane for authentication, budgeting, PII masking, a…
• LLM-as-a-Verifier: A General-Purpose Verification Framework
  2026 · AI Agent 生态 · Scaling pre-training, post-training, and test-time compute have become the central paradigms for improving the capabilities of LLMs. In this work, we identify verification, the ability to determine the correctness of a s…
• Exploring utilization of generative AI for research and education in data-driven materials science
  2025 · AI Agent 生态 · Generative AI has recently had a profound impact on various fields, including daily life, research, and education. To explore its efficient utilization in data-driven materials science, we organized a hackathon -- AIMHac…
• Multi-Agent Risks from Advanced AI
  2025 · AI Agent 生态 · The rapid development of advanced AI agents and the imminent deployment of many instances of these agents will give rise to multi-agent systems of unprecedented complexity. These systems pose novel and under-explored ris…
• Orchestration Framework for Financial Agents: From Algorithmic Trading to Agentic Trading
  2025 · AI Agent 生态 · The financial market is a mission-critical playground for AI agents due to its temporal dynamics and low signal-to-noise ratio. Building an effective algorithmic trading system may require a professional team to develop …
• Lang-PINN: From Language to Physics-Informed Neural Networks via a Multi-Agent Framework
  2025 · AI Agent 生态 · Physics-informed neural networks (PINNs) provide a powerful approach for solving partial differential equations (PDEs), but constructing a usable PINN remains labor-intensive and error-prone. Scientists must interpret pr…
• MAEBE: Multi-Agent Emergent Behavior Framework
  2025 · AI Agent 生态 · Traditional AI safety evaluations on isolated LLMs are insufficient as multi-agent AI ensembles become prevalent, introducing novel emergent risks. This paper introduces the Multi-Agent Emergent Behavior Evaluation (MAEB…

以 API 获取该主题全量数据

# 主题词表（含本主题的站点分布与年度分布）
curl http://data.swarmlabs.tools/api/topics.json

# 主题共现知识图谱
curl http://data.swarmlabs.tools/api/graph.json

需要按主题批量拉取、导出 BibTeX 或接入 AI Agent？查看 数据下载与格式 或 MCP 接入。