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GeneTech 知识引擎共收录 16994 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）

• 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…
• 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…
• 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…
• 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 …
• 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…
• 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…
• 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) …
• 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…
• 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…
• CA2-MARL: A Multi-Agent Fairness-Aware Order Dispatching System with LLM-Guided Policy and Competitive Attention
  2026 · AI Agent 生态 · Abstract In recent years, the proliferation of ride-hailing platforms such as Uber and Didi Chuxing has profoundly transformed urban mobility. While efficiency remains a core operational metric for these platforms, an ex…
• When collaboration fails: persuasion driven adversarial influence in multi agent large language model debate.
  2026 · AI Agent 生态 · Recent developments have made Large Language Model (LLM) multi-agent systems a promising paradigm for enhancing reasoning via collaborative debate and collective deliberation. Prior work has demonstrated that coordinated…
• 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…
• AI agents can coordinate via majority-following beyond human scale.
  2026 · AI Agent 生态 · Large language models (LLMs) are increasingly deployed in collaborative tasks forming "AI agent societies" where agents interact and influence one another. Whether such groups can spontaneously coordinate without externa…
• 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…
• DELPHAI, AI Agent for Predicting Drug Response and Resistance
  2025 · AI Agent 生态 · Abstract Patient-derived organoids preserve critical tumor features and drug sensitivity patterns that mirror patient clinical responses, enabling single-cell RNA sequencing analysis of drug responses. Analyzing these pe…
• 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…
• 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…
• A multi-agent system based on HNC for domain-specific machine translation.
  2025 · AI Agent 生态 · Due to the lack of domain classification theory for domain-specific machine translation, the quality of translation in this area is low. We propose a domain classification system based on HNC and design a new method that…
• Embodied AI Agent for Co-creation Ecosystem: Elevating Human-AI Co-creation through Emotion Recognition and Dynamic Personality Adaptation
  2025 · AI Agent 生态 · Embodied AI agents have the potential to revolutionize human-computer interactions by enabling experiences that are both highly creative and deeply empathetic. While platforms like Gennie2, World Labs, and MineDojo prima…
• Embodied AI Agent for Co-creation Ecosystem: Elevating Human-AI Co-creation through Emotion Recognition and Dynamic Personality Adaptation
  2025 · AI Agent 生态 · Embodied AI agents have the potential to revolutionize human-computer interactions by enabling experiences that are both highly creative and deeply empathetic. While platforms like Gennie2, World Labs, and MineDojo prima…
• 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. …
• 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…
• 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…
• 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 …
• 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…
• 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…
• 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…
• AgRefactor: Refactoring for HLS Compatibility with a Self-Evolving Agentic Workflow
  2026 · AI Agent 生态 · High-Level Synthesis (HLS) provides a fast path from concepts to silicon, but practical HLS design flows begin with a tedious step: refactoring software into HLS-compatible programs. Converting real-world software remain…
• Before You Build a Multi-Agent System: An Escalation Framework for LLM Adaptation
  2026 · AI Agent 生态 · Multi-agent systems (MAS) have become a popular framework for deploying large language models (LLMs), yet their operational complexity—increased latency, compounding errors, and difficult-to-optimize orchestration—is oft…
• 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 …
• 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…
• 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…
• 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…
• 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…
• Multi Hop AI Agent Suite -Architecture
  2026 · AI Agent 生态 · 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 to AI ag…
• Spice Wizard: A Unified AI Agent for Netlist Generation
  2026 · AI Agent 生态 · This paper introduces the Netlist Agent, an automated framework for generating and verifying LTspice netlists for Analog Devices (ADI) integrated circuits. Addressing the syntax and connectivity hallucinations common in …
• 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…
• MALPRE: Malware Protocol Reverse Engineering through Code Slicing and Agentic Workflow
  2025 · AI Agent 生态 · Clarifying malware communication protocols is critical for enhancing system security. Existing protocol reverse engineering (PRE) methods lack effective strategies, failing to recover protocol structures or infer precise…
• Empowering x-ray science with LLMs and agentic workflow
  2025 · AI Agent 生态 · Foundation models (e.g., LLMs, VLMs) are revolutionizi X-ray science by enabling intuitive human–computer interfaces, fuzzy logic-based automation, and powerful data insights. Deploying them effectively, however, require…
• AgentDrug: Utilizing Large Language Models in an Agentic Workflow for Zero-Shot Molecular Optimization
  2025 · AI Agent 生态 · Molecular optimization-modifying a given molecule to improve desired properties-is a fundamental task in drug discovery.While LLMs hold the potential to solve this task using natural language to drive the optimization, s…
• (Invited Paper) AnaFlow: Agentic LLM-based Workflow for Reasoning-Driven Explainable and Sample-Efficient Analog Circuit Sizing
  2025 · AI Agent 生态 · Analog/mixed-signal circuits are key for interfacing electronics with the physical world. Their design, however, remains a largely handcrafted process, resulting in long and error-prone design cycles. While the recent ri…
• XPF: Agentic AI System for Business Workflow Automation
  2025 · AI Agent 生态 · In this paper, we propose a novel agentic AI system called XPF, which enables users to create "agents" using just natural language, where each agent is capable of executing complex, real-world business workflows in an ac…
• 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…
• CCoRe: Cooperative-Competitive Reasoning LLM-based Multi-Agent Framework
  2025 · AI Agent 生态 · Abstract Large Language Model-based Multi-Agent systems (LLM-MAS) emerged as a promising approach for solving complex tasks and queries that go beyond Single-Agent systems’ abilities. Cooperative-Competitive Reasoning LL…
• LLM-Based Multi-Agent Framework for Troubleshooting Distributed Systems
  2025 · AI Agent 生态 · Effectively configuring distributed systems, particularly those orchestrated by Kubernetes, remains challenging due to inherent complexity. This paper introduces KubeLLM, an LLM-based multi-agent framework designed to au…
• Multi-Agent LLM Framework for Stock Recommendation via Financial Feature Summarization
  2025 · AI Agent 生态 · Escalating data complexity and volume in financial markets make stock investment choices very difficult for investors at every experience level. Multiple associated factors, such as economic signals, global events, corpo…

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