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代表性文献（按质量分排序，前 60 条）

• Benefits of co-learning with an AI agent
  2026 · AI Agent 生态 · The advent of effective machine learning techniques raises the question of how such procedures might benefit human learning. In this paper we study how humans solve a type of classification puzzle—the Game of Hidden Rule…
• MacAma: Multi-AI Agent as a Co-Scientist for Automated Meta-Analysis.
  2026 · AI Agent 生态 · Meta-analysis is fundamental to evidence-based medicine, yet traditional workflows remain labor-intensive and susceptible to bias. Although LLM-based research agents offer opportunities for workflow automation, they ofte…
• AutoMetaCoder: An AI Agent for Meta-analysis Coding
  2026 · AI Agent 生态 · Coding in Meta-analysis is a critical component in cumulative scientific research. However, it is labor-intensive and susceptible to human error. With recent advances in large language models (LLMs), this preprint introd…
• Multi Hop AI Agent Suite - Architecture
  2026 · AI Agent 生态 · Abstract Deploying AI agents in enterprise settings demands more than just intelligence it requires predictability, transparency, and tight control over how these agents interact with critical systems. Current approaches…
• Local LLM-Based Teacher–Student Knowledge Distillation and AI Agent-Centric Approach
  2026 · AI Agent 生态 · Recent cyber incidents have become increasingly sophisticated through 'Living-off-the-Land (LotL)' techniques that exploit legitimate behavior and multi-stage attacks. This demands advanced reasoning capabilities to disc…
• Full-Body AI Agent: A Perspective on Multi-Scale Collaborative AI for Systemic Biology and Precision Medicine.
  2026 · AI Agent 生态 · Artificial intelligence (AI) is increasingly applied to biomedical research, but most current systems remain limited to specific tasks, data types, or biological scales. This makes it difficult to connect molecular alter…
• MedClarify: An information-seeking AI agent for medical diagnosis with case-specific follow-up questions
  2026 · AI Agent 生态 · Abstract Large language models (LLMs) are increasingly used for diagnostic tasks in medicine. In clinical practice, the correct diagnosis can rarely be immediately inferred from the initial patient presentation alone. Ra…
• GenAITEd Ghana as a Context-Aware and Curriculum-Aligned Conversational AI Agent for Teacher Education
  2026 · AI Agent 生态 · Abstract Global frameworks increasingly call for Responsible Artificial Intelligence (AI) in education, yet they provide limited guidance on how ethical, culturally responsive, and curriculum-aligned AI can be operationa…
• LLM-Based Multi-Agent Orchestration: A Survey of Frameworks, Communication Protocols, and Emerging Patterns
  2026 · AI Agent 生态 · The proliferation of large language model (LLM) agents has enabled increasingly complex 2 multi-step automation; however, composing multiple agents into coherent systems intro3 duces significant orchestration challenges …
• MIN-Trust: A Minimum Necessary Information Trust Orchestration Framework for Multi-Agent Collaboration
  2026 · AI Agent 生态 · Large language model (LLM)-based multi-agent systems have demonstrated remarkable capabilities in collaborative task solving. Although the mechanisms that facilitate seamless cooperation, such as shared contexts, role as…
• Not Just One Agent: Multi-Agent Systems for Medicine from Answer Generation to Accountable Workflow Orchestration
  2026 · AI Agent 生态 · Large language models (LLMs) have advanced medical reasoning, but static question-answering performance remains insufficient for clinical workflows that require evolving patient-state tracking, evidence integration, role…
• GPCR-Nexus: Multi-Agent Orchestration for Knowledge Retrieval
  2026 · AI Agent 生态 · Abstract We present GPCR-Nexus, an AI-driven platform for integrated exploration of G protein–coupled receptor (GPCR) biology that unifies structured databases with unstructured scientific literature. The system combines…
• From Prompt to Production: A Case Study of Human-AI Collaborative Software Development Using Claude Code Multi-Agent Orchestration
  2026 · AI Agent 生态 · Abstract The emergence of advanced AI coding assistants with multi-agent orchestration capabilities has fundamentally transformed the software development landscape. However, the practical methodology for effective human…
• Not Just One Agent: LLM-Based Multi-Agent Systems for Medicine from Answer Generation to Accountable Workflow Orchestration
  2026 · AI Agent 生态 · Large language models (LLMs) have advanced medical reasoning, but static question-answering performance remains insufficient for clinical workflows that require evolving patient-state tracking, evidence integration, role…
• An LLM-Agent-Based Framework for Calculating Node Carbon Intensity in Regional Power Systems
  2026 · AI Agent 生态 · Abstract Regional carbon-aware operation requires nodal carbon intensity (NCI) signals that remain valid under heterogeneous operational inputs, topology changes, and network congestion; however, existing workflows for c…
• Evaluating routing stability and coordination in swarm-based multi-agent task-oriented dialogue systems.
  2026 · AI Agent 生态 · Conversational systems are becoming a primary interface for services and enterprise automation, and rapid market growth is pushing deployments into safety- and cost-sensitive settings. Reliability remains a bottleneck wh…
• The next paradigm in bioinformatics: a review of multi-agent systems and foundational models for end-to-end scientific discovery.
  2026 · AI Agent 生态 · Bioinformatics is entering a new phase characterized by the integration of universal biological models and multi-agent systems to enable end-to-end scientific discoveries. This review argues that the next paradigm shift …
• Automating SWMM-based stormwater modelling and analysis through a tool-augmented single-agent system.
  2026 · AI Agent 生态 · Urban stormwater modelling plays a critical role in assessing interventions for flood risk and water quality management in response to ageing infrastructure and future uncertainties. However, modelling workflows in pract…
• Adaptive Digital Marketing: A Systematic Review of Bio-Inspired Reinforcement Learning, Multi-Agent Systems, and Agentic AI for Intelligent Optimisation.
  2026 · AI Agent 生态 · Background: Digital marketing increasingly functions as a complex adaptive system characterised by non-stationary environments, strategic interaction, and multi-agent competition. Programmatic advertising exemplifies thi…
• AI agents in drug discovery: A review of evolution, applications, and future directions.
  2026 · AI Agent 生态 · Artificial intelligence (AI) agents represent a paradigm shift in pharmaceutical research, moving the field from narrow drug-protein affinity modeling toward systems-biology-level evaluation in which autonomous, multi-do…
• A Review of Multi-Agent AI Systems for Biological and Clinical Data Analysis.
  2026 · AI Agent 生态 · This review evaluates the emerging paradigm of multi-agent systems (MASs) for biomedical and clinical data analysis, focusing on their ability to overcome the reasoning and reliability limitations of standalone large lan…
• GeneGenie: enhancing biomedical question-answering with agentic graphs.
  2026 · AI Agent 生态 · Large language models (LLMs) have revolutionized biomedical research, yet they remain prone to hallucinations and struggle with the precise, multi-hop reasoning required for biomedical analysis. To bridge this gap betwee…
• 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…
• 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…
• Frontier Topics Mining Method via AI-Agent
  2025 · AI Agent 生态 · How to quickly identify high-quality frontier topics from massive scientific research data to assist researchers in accurately carrying out scientific research work is of great importance. Traditional analysis methods ha…
• gffutilsAI: an AI-agent for interactive genomic feature exploration in GFF files
  2025 · AI Agent 生态 · A bstract The General Feature Format (GFF) is widely used to represent genomic annotations, but its hierarchical, multi-attribute structure makes manual querying and analysis challenging. Existing libraries such as gffut…
• 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…
• LongevityLLM: A Function-Driven AI Agent for End-to-End Protein and Aging Research
  2025 · AI Agent 生态 · Recent advances in large language models (LLMs) have unlocked new possibilities for scientific discovery, yet most remain limited to text summarization or hallucination-prone dialogue. Here, we present LongevityLLM—a fun…
• An AI-Agent Approach to Constructing Input-Output Production Networks
  2025 · AI Agent 生态 · Understanding production interdependencies is essential for economic modeling, yet existing approaches to constructing large-scale input-output networks are resource-intensive and demand specialized expertise. This study…
• A Bilingual On-Premises AI Agent for Clinical Drafting: Implementation Report of Seamless Electronic Health Records Integration in the Y-KNOT Project.
  2025 · AI Agent 生态 · Large language models (LLMs) have shown promise in reducing clinical documentation burden, yet their real-world implementation remains rare. Especially in South Korea, hospitals face several unique challenges, such as st…
• TrustOrch: A Dynamic Trust-Aware Orchestration Framework for Adversarially Robust Multi-Agent Collaboration
  2025 · AI Agent 生态 · Multi-agent systems (MAS) have emerged as a critical paradigm for distributed problem-solving in complex environments. However, their deployment in mission-critical applications faces significant challenges regarding tru…
• StableOx-Cat agent: an AI agent for exploring stable metal oxide electrocatalysts
  2026 · AI Agent 生态 · We introduce StableOx-Cat, an artificial intelligence (AI)-agent framework that enables systematic and reliable exploration of stable metal oxide (MO) electrocatalysts via a unified natural-language interface. StableOx-C…
• From single-agent to multi-agent: a comprehensive review of LLM-based legal agents
  2026 · AI Agent 生态 · With the growing application of artificial intelligence (AI) in the legal domain, large language model (LLM)-based legal agents have achieved remarkable progress. This survey provides a comprehensive review of the applic…
• Accelerating multimetallic catalyst discovery with robotics and agentic AI
  2026 · AI Agent 生态 · The design space of catalyst materials spans composition, processing, atomistic structure, and microstructure. As materials become more complex, the dimensionality of this parameter space for catalyst design grows combin…
• AI as a catalyst for transforming scientific research: a perspective
  2026 · AI Agent 生态 · Artificial intelligence (AI) is revolutionizing how we conduct, scale, and reimagine scientific research. Unlike prior technologies that amplified human capability within existing paradigms, AI is redefining the very ste…
• Development of AI-eChemist Laboratory
  2026 · AI Agent 生态 · The development of a self-driving laboratory (SDL) is driving electrocatalysis research from traditional trial-and-error approaches toward automation, high throughput, and intelligence. As an autonomous experimental syst…
• Towards AI-Enabled Training Needs Analysis Using Dual AI-Agent Collaboration
  2026 · AI Agent 生态 · A comprehensive Training Needs Analysis (TNA) is essential for effective HR development and organisational growth. However, traditional approaches often fall short due to limitations in scale, labour intensity, resource …
• DigMethpy: an AI-empowered digital catalysis platform for methane pyrolysis molten catalyst design
  2026 · AI Agent 生态 · Methane pyrolysis via molten catalysts offers a transformative route for coke-free hydrogen production and high-value carbon capture. However, the development of molten catalysts is hindered by a vast compositional space…
• Robust global optimization of atomic structures via a learning loss-informed on-the-fly firefly algorithm
  2026 · AI Agent 生态 · In computational materials science, global optimization is pivotal for bridging theory and experiment but can fail when the theoretical treatment defining the potential energy surface does not accurately predict stabilit…
• From large language models to AI agents in energy materials research: enabling discovery, design, and automation
  2026 · AI Agent 生态 · Fragmented knowledge and slow experimental iteration constrain the discovery of energy materials. We trace the evolution of artificial intelligence (AI) in materials science, from large language models as knowledge assis…
• AI agents for solid electrolytes: opportunities, challenges, and future directions
  2026 · AI Agent 生态 · Artificial intelligence (AI) and autonomous agents are transforming the discovery and optimization of solid electrolytes, a class of materials crucial to the safety and performance of next-generation batteries. This revi…
• Agentic Agent, Better Agent: Evidence from Agentic AI in Telemarketing
  2026 · AI Agent 生态 · Large language models are increasingly being deployed as agentic AI systems that autonomously manage customer interactions, yet their effectiveness in persuasion-intensive telemarketing settings remains largely unknown. …
• Agent Name Service (ANS): A Universal Directory for Secure AI Agent Discovery and Interoperability
  2026 · AI Agent 生态 · The proliferation of AI agents requires robust mechanisms for secure discovery. This paper introduces the Agent Name Service (ANS), a novel architecture based on DNS addressing the lack of a public agent discovery framew…
• Cloud synthesis: a global closed-loop feedback powered by autonomous AI-driven catalyst design agent
  2026 · AI Agent 生态 · The Digital Catalysis Platform (DigCat) pioneers a revolutionary framework for cloud-based synthesis and global closed-loop feedback, redefining catalyst research through advanced automation and collaboration. By integra…
• Knowledge-extractor: a self-evolving scientific framework for hydrogen energy research driven by AI agents
  2026 · AI Agent 生态 · The rapid evolution of Artificial intelligence (AI) from passive “knowledge co-pilots” to autonomous “research partners” is initiating a paradigm shift in scientific discovery, a frontier now termed Agentic Science. Howe…
• MARL-IoTP: Heterogeneous Multi-Agent Learning for Perception-Aware Edge Orchestration
  2026 · AI Agent 生态 · The deployment of perception-intensive applications on IoT devices imposes substantial computational demands at the network edge. A key challenge lies in the interdependence between perception model selection at IoT devi…
• Deep Reinforcement Learning for Operational Coastal Emergency Response With AI Agent Orchestration and Human Oversight
  2026 · AI Agent 生态 · Despite urgent needs for adaptive coastal risk management, operational systems still rely heavily on static triggers and fragmented information that overlook interactions between evolving hazards and response actions. Bu…
• Transforming Public Administration Workflows with Multi-Agent AI: A Human-in-the-Loop Knowledge Orchestration Framework
  2026 · AI Agent 生态 · Public administrations face increasing pressure to manage large volumes of institutional knowledge while ensuring transparency, accountability, and timely responses to citizen and council inquiries. This paper presents C…
• Beyond Agent Design: A Systematic Framework for MCP Server Runtime Orchestration
  2026 · AI Agent 生态 · The Model Context Protocol (MCP) has rapidly emerged as a standard interface for connecting AI agents to external tools, databases, and services. While considerable research has addressed agent design, prompt engineering…
• Autonomous Security Orchestration for Cloud-Native Environments Using Multi-Agent Systems
  2026 · AI Agent 生态 · With cloud-native settings becoming more complicated due to microservices and using multiple clouds, organizations now need security solutions that can work smartly, independently and grow as needed. This paper introduce…
• RepoAI: Automated Code Refactoring through Multi-Agent LLM Orchestration and Retrieval-Augmented Generation
  2026 · AI Agent 生态 · While Large Language Models have demonstrated strong code generation ca-pabilities, existing approaches operate at single-file level without repository-wide context or systematic validation. This paper presents RepoAI, a…
• 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 …
• 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…
• 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…
• 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…
• Dynamic Agent Orchestration: Empowering Enterprise Automation with LLMs
  2025 · AI Agent 生态 · In today’s digital era, enterprises face mounting pressure to adopt automation solutions that are both agile and intelligent. Dynamic agent orchestration offers a transformative strategy by leveraging advanced Large Lang…
• Centralised Orchestration and Strategic Alignment in AI-Agent-Enabled Supply Chains
  2025 · AI Agent 生态 · AI-agent-based supply chains promise faster, more resilient, and sustainable operations, but outcomes depend on how autonomous agents are aligned with the business strategy of the company. In this research, centralised o…

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