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computer and information sciences

GeneTech 知识引擎共收录 19395 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。

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代表性文献（按质量分排序，前 60 条）

• 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…
• 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…
• An energy-efficient scheduling approach for wind-solar-hydrogen systems based on distributed reinforcement learning
  2026 · AI Agent 生态 · This paper presents a comprehensive energy dispatch strategy based on distributed reinforcement learning to optimize the operation of integrated wind-solar-hydrogen systems. The proposed approach effectively reduces coal…
• 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…
• 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…
• 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…
• 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 …
• 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…
• 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…
• GNN-Based Multi-Agent DRL for Energy-Efficient Multi-Domain 6G Resource Orchestration
  2026 · AI Agent 生态 · The rapid evolution towards 6G networks introduces new challenges in orchestrating services across distributed domains while ensuring sustainability goals, such as energy efficiency. Traditional scaling strategies focus …
• 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…
• 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…
• 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…
• Intelligent Service Chain Orchestration and Resource Allocation in End-Edge Collaborative IIoT Using Multi-Agent Proximal Policy Optimization.
  2026 · AI Agent 生态 · The massive heterogeneous data streams and stringent low-latency requirements in the Industrial Internet of Things (IIoT) pose new challenges for edge network resource management. This paper addresses the joint optimizat…
• 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…
• 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…
• 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…
• Hierarchical Bayesian optimization of an aircraft-based multi-agent system-of-systems
  2026 · AI Agent 生态 · Abstract Developing innovative system architectures increasingly relies on advanced modeling and optimization techniques to frame the architecting process and define the corresponding computational problems. In the conte…
• OpenEvoShield: Dual Non-Stationary Continual Defense for Open-World Multi-Agent System Attacks
  2026 · AI Agent 生态 · LLM-based multi-agent systems (LLM-MAS) are increasingly deployed in safety-critical applications, where adversaries inject malicious instructions through inter-agent communication to propagate harmful behaviors. Unlike …
• Cross-Agent Memory Architecture with Contextual Coherence and Factually Grounded Multi-Agent System
  2026 · AI Agent 生态 · Abstract The growth of Large Language Models (LLMs) as universal reasoning tool has led to the creation of intelligentagent systems. However, ensuring smooth communication between multiple agents, maintaining contextual …
• MedSegAgent: A Universal and Scalable Multi-Agent System for Instructive Medical Image Segmentation.
  2026 · AI Agent 生态 · Medical image segmentation is vital for clinical diagnosis and treatment; however, current solutions face three major limitations: (1) the lack of a universal framework capable of handling diverse modalities and anatomic…
• SmartCIF: a context-aware multi-agent system for automated preprocessing and curation of MOF CIFs.
  2026 · AI Agent 生态 · Computational screening of metal-organic frameworks (MOFs) relies on crystallographic inputs that are commonly treated as "computation-ready". In practice, however, conventional CIF preprocessing often applies fixed-para…
• ToolsGenie 2.0: A Scalable and Extensible Multi-Agent System for Bioinformatics Automation
  2026 · AI Agent 生态 · Abstract The rapid expansion of biomedical data necessitates efficient bioinformatics tools, yet conventional workflows rely heavily on manual dependencies, hindering scalability and broader adoption. Building on the fou…
• IAMAgent: Toward an Interactive and Adaptive Multi-Agent System for Image Restoration.
  2026 · AI Agent 生态 · Existing image restoration and enhancement (IRE) methods suffer from three fundamental limitations: 1) they present a high technical barrier, requiring expert knowledge and lacking intuitive natural language control; 2) …
• False data injection attack resilient distributed exponential sliding mode consensus protocol for discrete multi-agent system.
  2026 · AI Agent 生态 · This paper proposes a False Data Injection (FDI) attack resilient Distributed Exponential Sliding Mode Consensus (DESMC) protocol for Discrete Multi-Agent Systems (DMASs). By explicitly modeling FDI attacks on communicat…
• EPANET-Agentic: A multi-agent system for natural language-controlled simulations of water distribution networks.
  2026 · AI Agent 生态 · Water distribution networks (WDNs), a critical part of urban infrastructure, normally require numerous model simulations for effective planning and management. However, traditional WDN modelling requires complex workflow…
• EvoMDT: a self-evolving multi-agent system for structured clinical decision-making in multi-cancer.
  2026 · AI Agent 生态 · Multidisciplinary tumor boards (MDTs) are central to cancer care but remain constrained by scarce experts and variable decision quality. EvoMDT employs a self-evolution loop that updates prompts, consensus weights, and r…
• SCALE: Scalable Cross-Attention Learning with Extrapolation for Agentic Workflow Scheduling
  2026 · AI Agent 生态 · Agentic Large Language Model (LLM) systems decompose complex tasks into workflow Directed Acyclic Graphs (DAGs) whose primitives must be scheduled on heterogeneous clusters. Existing deep reinforcement learning (DRL) sch…
• AVIATOR: Towards AI-Agentic Vulnerability Injection Workflow for High-Fidelity, Large-Scale Code Security Dataset
  2026 · AI Agent 生态 · The increasing complexity of software systems and the sophistication of cyber-attacks have underscored the critical need for reliable automated software vulnerability detection. Data-driven approaches using deep learning…
• Agentic AI Workflow for End-to-End Prompt-Based Contextual Virtual Staging
  2026 · AI Agent 生态 · Virtual staging has revolutionized the real estate industry by automating the redesign of interior images based on user instructions. This paper introduces an innovative Agentic AI Workflow for end-to-end, prompt-based c…
• LLM-as-Scheduler: Agentic Workflow Dynamic Scheduling
  2026 · AI Agent 生态 · As large language models (LLMs) become more capable, many applications are shifting from a single LLM call to multi-agent systems.Manually designed or automatically optimized workflows often include multiple verification…
• Do We Always Need Query-Level Workflows? Rethinking Agentic Workflow Generation for Multi-Agent Systems
  2026 · AI Agent 生态 · Multi-Agent Systems (MAS) built on large language models typically solve complex tasks by coordinating multiple agents through workflows.Existing approaches generates workflows either at task level or query level, but th…
• UniFlow - Web-Based Research and Academic Workflow Automation Using Agentic AI
  2026 · AI Agent 生态 · For university students, manually organizing academic reports in compliance with institution norms remains a time-consuming and mistake-prone task that often diverts attention from the quality of the content. Further adm…
• CyVerACT: An Agentic Cypher Translation Workflow over Knowledge Graphs
  2026 · AI Agent 生态 · Question Answering (QA) over Knowledge Graphs (KGs) has greatly benefited from the rapid growth of Large Language Models (LLMs), which enable the translation of natural language questions into Cypher queries. Most existi…
• FusionFlow: Enabling Deep Structural Exploration for Automated Agentic Workflow Generation
  2026 · AI Agent 生态 · Agentic workflows are commonly used to guide large language models in solving complex reasoning tasks.However, existing automated workflow generation methods primarily rely on stepwise local refinement or tree-based sear…
• Transformer-based multi-agent traffic simulation for autonomous vehicle testing in shared urban road segments.
  2026 · AI Agent 生态 · Microscopic traffic simulation plays a crucial role in the development and testing of autonomous driving systems. However, accurately reproducing traffic participant behavior in shared urban road segments remains challen…
• Competing with AI Scientists: Agent-Driven Approach to Astrophysics Research
  2026 · AI Agent 生态 · Abstract We present an agent-driven approach to the construction of parameter inference pipelines for scientific data analysis. Our method leverages a multi-agent system, Cmbagent 1 (the analysis system of the AI scienti…
• CausLab: LLM-driven Multi-agent Bayesian Framework for Causal Discovery and Inference
  2026 · AI Agent 生态 · Randomized controlled trials (RCTs), known as A/B tests in industry, reliably estimate treatment effects. However, uncovering causal mechanisms underlying observed lifts and transferring those insights to guide future pr…
• FTDI: A Budget-Aware Self-Healing Framework for Resilient LLM Multi-Agent Code Generation
  2026 · AI Agent 生态 · LLM-driven multi-agent systems remain vulnerable in executable-feedback code generation. Minor perturbations propagate through long interaction chains and amplify in feedback loops, while existing robustness defenses oft…
• FraudDebate-Agent: A Multi-Agent LLM Framework with an Evidence-Based Debate Mechanism for Financial Statement Fraud Detection
  2026 · AI Agent 生态 · Financial statement fraud inflicts large and recurring losses on capital markets, yet the dominant detection paradigm still relies on single, black-box classifiers (e.g., RUSBoost) trained on structured accounting ratios…
• A Knowledge Graph-Enhanced Dual-Agent LLM Framework for Synthetic Aviation Safety Report Generation under Class Imbalance
  2026 · AI Agent 生态 · Aviation safety reports constitute a rich database from which advanced language technologies extract actionable operational intelligence. Aviation safety analytics has grown substantially as machine learning (ML) models …
• Data-Driven Meets Knowledge-Driven: An LLM‐Agent Framework for Quality Control in Metal Additive Manufacturing
  2026 · AI Agent 生态 · Quality prediction in metal additive manufacturing (AM) has conventionally relied on data-driven models that map process parameters to defect classes or quality metrics. However, these models often fail to generalize acr…
• AutoCoSim: An LLM-RAG-based Multi-agent Framework for Automating Building Energy and CFD Co-simulation
  2026 · AI Agent 生态 · Achieving carbon neutrality in the built environment requires advanced heating, ventilation, and air conditioning (HVAC) control strategies that optimize both energy efficiency and occupant thermal comfort. Co-simulation…
• VTR-LLM: Multi-Agent LLM Framework for Automated Debugging of FPGA CAD Flows
  2026 · AI Agent 生态 · Modern FPGA computer-aided design (CAD) flows have grown increasingly complex, integrating numerous stages, configuration parameters, timing constraints, and physical implementation specifications. As designs scale, fail…
• An LLM-Driven Multi-Agent Simulation Framework for Coupled Epidemic–Economic Dynamics
  2026 · AI Agent 生态 · Traditional Agent-based Models (ABMs) often struggle to capture the nuance of adaptive human decision-making during complex crises due to their reliance on static, predefined rules. Large Language Models (LLMs) offer a t…
• COLLAB-LLM: A Communication-Centric Role-Based Framework for Scalable Multi-Agent LLM Collaboration
  2026 · AI Agent 生态 · Large Language Models (LLMs) are increasingly deployed in multi-agent systems; however, existing frameworks continue to suffer from communication ambiguity, coordination failures, and poor scalability as task complexity …
• A heterogeneous multi-agent reinforcement learning framework with LLM-guided preference-score rewards for data center cooling optimization
  2026 · AI Agent 生态 · Data center cooling is a major source of non-IT energy consumption, and optimal cooling control must reduce power consumption while maintaining safe rack inlet air temperatures. To address insufficient state representati…
• MACV: A Specialized Multi-Agent and Consensus Framework for Reliable LLM Outputs
  2026 · AI Agent 生态 · Large language models (LLMs) write smoothly but still sometimes make believable yet incorrect or unsupported claims so called hallucinations. To address this, we propose MACV (Multi-Agent Cross-Verification), a modular s…
• ResStock-LLM: A Multi-Agent Framework for Climate-Adaptive Residential Retrofit Decisions
  2026 · AI Agent 生态 · Residential building retrofits are essential for improving energy efficiency and reducing greenhouse gas emissions, yet identifying effective retrofit actions for building stocks remains challenging. Current methods ofte…
• Agri-LAPP: An LLM-Based Agent Framework for Adaptive Path Planning in Precision Agriculture
  2026 · AI Agent 生态 · Precision agriculture increasingly relies on autonomous unmanned ground vehicles (UGVs) to handle complex tasks. Path planning is the key to empowering intelligent automation, directly improving efficiency and reducing e…
• 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…
• 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…
• Large Model-Driven Multi-Agent Task Orchestration and Collaboration System for Complex Tasks
  2025 · AI Agent 生态 · With the rapid development of artificial intelligence technology, traditional multi-agent task orchestration methods face many challenges when dealing with complex tasks, such as poor generalization ability, insufficient…
• GRAPHAM: A Graph-Powered Hierarchical Autonomous Multi-Agent System for Next-Generation Recommendations
  2025 · AI Agent 生态 · Abstract Traditional recommender systems frequently en counter issues such as popularity bias, cold-start problems, and a lack of transparency. This paper presents GRAPHAM, a novel agentic framework that addresses these …
• Assisting Multi-Agent System Design with MOISE+ and MARL: The MAMAD Method
  2025 · AI Agent 生态 · Abstract Traditional Agent-Oriented Software Engineering (AOSE) methods rely on explicit and expert-driven design for MAS, but often lack automation. In contrast, Multi-Agent Reinforcement Learning (MARL) and related fie…
• Development of a Dynamic Path Planning System for Autonomous Mobile Robots Using a Multi-Agent System Approach.
  2025 · AI Agent 生态 · Autonomous Mobile Robots (AMRs) are increasingly important in Industry 4.0 intralogistics but creating path planning systems that adapt to dynamic and uncertain Flexible Manufacturing Systems (FMS), especially managing c…

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