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• Ontology-enabled AI agent-driven intelligent digital twins for building operations and maintenance
  openalex Sungmin Yoon, Jihwan Song, Jiteng Li 2025-05-01 置信度 0.72 Computer scienceArchitectural engineeringEngineeringConstruction engineering
• Migratable AI: Effect of identity and information migration on users' perception of conversational AI agents
  © 2020 IEEE. Conversational AI agents are proliferating, embodying a range of devices such as smart speakers, smart displays, robots, cars, and more. We can envision a future where a personal conversational agent could migrate across different form factors and…
  openalex Tejwani, Ravi., Felipe Romero Moreno, Sooyeon Jeong, Hae Won Park 等 2020-01-01 置信度 0.72 Competence (human resources)PerceptionDialog systemComputer scienceHuman–computer interaction
• Whatever next? Predictive brains, situated agents, and the future of cognitive science
  Brains, it has recently been argued, are essentially prediction machines. They are bundles of cells that support perception and action by constantly attempting to match incoming sensory inputs with top-down expectations or predictions. This is achieved using a…
  openalex Andy Clark 2013-05-10 置信度 0.72 SituatedCognitive scienceCognitionPsychologyComputer science
• Overcoming regulatory barriers to the implementation of AI agents in healthcare
  openalex Oscar Freyer, Sanddhya Jayabalan, Jakob Nikolas Kather, Stephen Gilbert 2025-07-18 置信度 0.72 Health careBusinessMedicinePolitical scienceLaw
• Adapt and overcome: Perceptions of adaptive autonomous agents for human-AI teaming
  openalex Allyson I. Hauptman, Beau G. Schelble, Nathan J. McNeese, Kapil Chalil Madathil 2022-08-26 置信度 0.72 AutonomyGroup cohesivenessSet (abstract data type)Context (archaeology)Perception
• Agent theories, architectures, and languages: A survey
  openalex Michael Wooldridge, Nicholas R. Jennings 1995-01-01 置信度 0.72 Computer scienceGlossaryMainstreamReading (process)Key (lock)
• Organizations, Plans and Schedules: An Interdisciplinary Perspective on Coordinating AI Agents
  Article Organizations, Plans and Schedules: An Interdisciplinary Perspective on Coordinating AI Agents was published on December 1, 1993 in the journal Journal of Intelligent Systems (volume 3, issue 2-4).
  openalex Edmund H. Durfee 1993-12-01 置信度 0.72 Computer scienceBridging (networking)Perspective (graphical)Artificial intelligenceCollective intelligence
• AI Agents and Education: Simulated Practice at Scale
  openalex Ethan Mollick, Lilach Mollick, Natalie Bach, LJ Ciccarelli 等 2024-01-01 置信度 0.72 Scale (ratio)Computer sciencePsychologyGeographyCartography
• Leveraging Natural Language Processing in Conversational AI Agents to Improve Healthcare Security
  While the widespread adoption of healthcare information technology has many positive outcomes, it has also presented new obstacles for protecting patient information. Natural language processing (NLP)-enabled conversational artificial intelligence (AI) agents …
  openalex Jami Venkata Suman, Farooq Sunar Mahammad, M. Sunil Kumar, B. Sai Chandana 等 2024-01-27 置信度 0.72 Computer scienceNatural (archaeology)Health careDialog systemNatural language processing
• Building AI Agents for Autonomous Clouds: Challenges and Design Principles
  The rapid growth in the use of Large Language Models (LLMs) and AI Agents as part of software development and deployment is revolutionizing the information technology landscape. While code generation receives significant attention, a higher-impact application …
  openalex Manish Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma 等 2024-11-14 置信度 0.72 Computer scienceHuman–computer interactionSystems engineeringData scienceEngineering
• The rise and potential of large language model based agents: a survey
  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 their environment, make decisions, and …
  openalex Zhiheng Xi, Wen-Xiang Chen, Xin Hua Guo, Wei He 等 2025-01-17 置信度 0.72 Computer scienceAction (physics)Artificial general intelligenceArtificial intelligenceIntelligent agent
• Mobility AI Agents and Networks
  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 Intelligent Mobility System Digital Twin (M…
  openalex Haoxuan Ma, Yifan Liu, Qinhua Jiang, Brian Yueshuai He 等 2024-07-01 置信度 0.72 Computer scienceArtificial intelligence
• Faith in AI can narrow the futures individuals consider
  Artificial intelligence (AI) predictions are increasingly used to inform human decisions. Here, using a behavioral implementation of the classic Newcomb's paradox in 1,305 participants, we show that AI predictions can also shape the reasoning people use to mak…
  arxiv Aoi Naito, Hirokazu Shirado 2026-03-30T19:36:10Z 置信度 0.78 cs.HC
• Foundations of GenIR
  The chapter discusses the foundational impact of modern generative AI models on information access (IA) systems. In contrast to traditional AI, the large-scale training and superior data modeling of generative AI models enable them to produce high-quality, hum…
  arxiv Qingyao Ai, Jingtao Zhan, Yiqun Liu 2025-01-06T08:38:29Z 置信度 0.78 cs.IRcs.LG
• Competing Visions of Ethical AI: A Case Study of OpenAI
  Introduction. AI Ethics is framed distinctly across actors and stakeholder groups. We report results from a case study of OpenAI analysing ethical AI discourse. Method. Research addressed: How has OpenAI's public discourse leveraged 'ethics', 'safety', 'alignm…
  arxiv Melissa Wilfley, Mengting Ai, Madelyn Rose Sanfilippo 2026-01-23T07:26:45Z 置信度 0.78 cs.CY
• AI Agents: Evolution, Architecture, and Real-World Applications
  This paper examines the evolution, architecture, and practical applications of AI agents from their early, rule-based incarnations to modern sophisticated systems that integrate large language models with dedicated modules for perception, planning, and tool us…
  arxiv Naveen Krishnan 2025-03-16T23:07:48Z 置信度 0.78 cs.AI
• Mapping Human Anti-collusion Mechanisms to Multi-agent AI Systems
  As multi-agent AI systems become increasingly autonomous, evidence shows they can develop collusive strategies similar to those long observed in human markets and institutions. While human domains have accumulated centuries of anti-collusion mechanisms, it rem…
  arxiv Jamiu Idowu, Ahmed Almasoud, Ayman Alfahid 2026-01-01T14:30:37Z 置信度 0.78 cs.MAcs.AIcs.CY
• Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security
  Agentic AI systems -- Large Language Models (LLMs) augmented with planning, tool use, memory, and long-horizon interactions -- can execute complex tasks autonomously, but their multi-step trajectories introduce new failure modes that challenge trustworthiness.…
  arxiv Jinhu Qi, Muzhi Li, Jiahong Liu, Yuqin Shu 等 2026-05-17T10:26:37Z 置信度 0.78 cs.AIcs.CLcs.CR
• Toward AI VIS Co-Scientists: A General and End-to-End Agent Harness for Solving Complex Data Visualization Tasks
  The ability to inspect, interpret, and communicate complex data is crucial for virtually any scientific endeavor, but often requires significant expertise outside the core domain ranging from data management and analysis to visualization design and implementat…
  arxiv Haichao Miao, Zhimin Li, Kuangshi Ai, Kaiyuan Tang 等 2026-05-20T23:49:28Z 置信度 0.78 cs.AIcs.HC
• Meaningful human control: actionable properties for AI system development
  How can humans remain in control of artificial intelligence (AI)-based systems designed to perform tasks autonomously? Such systems are increasingly ubiquitous, creating benefits - but also undesirable situations where moral responsibility for their actions ca…
  arxiv Luciano Cavalcante Siebert, Maria Luce Lupetti, Evgeni Aizenberg, Niek Beckers 等 2021-11-25T11:05:37Z 置信度 0.78 cs.CYcs.AI
• AI Agents and the Law
  As AI becomes more "agentic," it faces technical and socio-legal issues it must address if it is to fulfill its promise of increased economic productivity and efficiency. This paper uses technical and legal perspectives to explain how things change when AI sys…
  arxiv Mark O. Riedl, Deven R. Desai 2025-08-12T01:18:48Z 置信度 0.78 cs.CYcs.AI
• Code as Agent Harness
  Recent large language models (LLMs) have demonstrated strong capabilities in understanding and generating code, from competitive programming to repository-level software engineering. In emerging agentic systems, code is no longer only a target output. It incre…
  arxiv Xuying Ning, Katherine Tieu, Dongqi Fu, Tianxin Wei 等 2026-05-18T17:59:03Z 置信度 0.78 cs.CLcs.AI
• Towards The Ultimate Brain: Exploring Scientific Discovery with ChatGPT AI
  This paper presents a novel approach to scientific discovery using an artificial intelligence (AI) environment known as ChatGPT, developed by OpenAI. This is the first paper entirely generated with outputs from ChatGPT. We demonstrate how ChatGPT can be instru…
  arxiv Gerardo Adesso 2023-07-08T09:59:22Z 置信度 0.78 cs.OH
• Adaptive Data Flywheel: Applying MAPE Control Loops to AI Agent Improvement
  Enterprise AI agents must continuously adapt to maintain accuracy, reduce latency, and remain aligned with user needs. We present a practical implementation of a data flywheel in NVInfo AI, NVIDIA's Mixture-of-Experts (MoE) Knowledge Assistant serving over 30,…
  arxiv Aaditya Shukla, Sidney Knowles, Meenakshi Madugula, Dave Farris 等 2025-10-30T23:41:06Z 置信度 0.78 cs.AIcs.LG
• Explainable AI for Blind and Low-Vision Users: Navigating Trust, Modality, and Interpretability in the Agentic Era
  Explainable Artificial Intelligence (XAI) is critical for ensuring trust and accountability, yet its development remains predominantly visual. For blind and low-vision (BLV) users, the lack of accessible explanations creates a fundamental barrier to the indepe…
  arxiv Abu Noman Md Sakib, Protik Dey, Zijie Zhang, Taslima Akter 2026-03-31T19:39:52Z 置信度 0.78 cs.HCcs.AIcs.ET
• PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows
  Large Language Models (LLMs) and other foundation models are increasingly used as the core of AI agents. In agentic workflows, these agents plan tasks, interact with humans and peers, and influence scientific outcomes across federated and heterogeneous environ…
  arxiv Renan Souza, Amal Gueroudji, Stephen DeWitt, Daniel Rosendo 等 2025-08-04T19:54:40Z 置信度 0.78 cs.DCcs.DB
• Need of AI in Modern Education: in the Eyes of Explainable AI (xAI)
  Modern Education is not \textit{Modern} without AI. However, AI's complex nature makes understanding and fixing problems challenging. Research worldwide shows that a parent's income greatly influences a child's education. This led us to explore how AI, especia…
  arxiv Supriya Manna, Niladri Sett 2024-07-31T08:11:33Z 置信度 0.78 cs.AI
• Beyond principlism: Practical strategies for ethical AI use in research practices
  The rapid adoption of generative artificial intelligence (AI) in scientific research, particularly large language models (LLMs), has outpaced the development of ethical guidelines, leading to a "Triple-Too" problem: too many high-level ethical initiatives, too…
  arxiv Zhicheng Lin 2024-01-27T03:53:25Z 置信度 0.78 cs.CYcs.AI
• DeBiasMe: De-biasing Human-AI Interactions with Metacognitive AIED (AI in Education) Interventions
  While generative artificial intelligence (Gen AI) increasingly transforms academic environments, a critical gap exists in understanding and mitigating human biases in AI interactions, such as anchoring and confirmation bias. This position paper advocates for m…
  arxiv Chaeyeon Lim 2025-04-23T14:41:31Z 置信度 0.78 cs.HC
• Autoreflection: How Agentic Strange Loops Turn Human Culture into AI Infrastructure
  An LLM-based agent is a loop that reads itself. Agentic frameworks externalize identity, memory, and disposition into editable files. The agent loads and edits these files during each activation. I argue that this architecture produces a capacity I call autore…
  arxiv Holly Lewis 2026-08-04T15:14:50Z 置信度 0.78 cs.CYcs.AIcs.SI
• The New Shape of Search: How Conversational AI Recomposes Information Seeking
  The familiar search journey begins with a query and moves outward into documents, while conversational AI is commonly imagined at its start: ask first, then click out. Linking captured prompts and responses to the same panelists' observed searches and pageview…
  arxiv Michael Iannelli, Alan Ai 2026-07-05T12:48:17Z 置信度 0.78 cs.HCcs.CYcs.IR
• How to Count AIs: Individuation and Liability for AI Agents
  Very soon, millions of AI agents will proliferate across the economy, autonomously taking billions of actions. Inevitably, things will go wrong. Humans will be defrauded, injured, even killed. Law will somehow have to govern the coming wave. But when an AI cau…
  arxiv Yonathan Arbel, Peter Salib, Simon Goldstein 2026-02-24T23:04:17Z 置信度 0.78 cs.CYcs.AI
• Cura 1T: Specialized Model for Agentic Healthcare
  Healthcare AI agents handle patient consultation, clinical reasoning over text and images, interactive diagnosis, and electronic health record (EHR) tool use, yet specialized agentic models that cover these use cases together remain limited. These capabilities…
  arxiv actAVA AI, :, Haolin Chen, Leon Qi 等 2026-07-15T22:05:23Z 置信度 0.78 cs.AI
• A Survey of Multi-Agent Deep Reinforcement Learning with Communication
  Communication is an effective mechanism for coordinating the behaviors of multiple agents, broadening their views of the environment, and to support their collaborations. In the field of multi-agent deep reinforcement learning (MADRL), agents can improve the o…
  arxiv Changxi Zhu, Mehdi Dastani, Shihan Wang 2022-03-16T22:39:46Z 置信度 0.78 cs.MAcs.LG
• Expansive Participatory AI: Supporting Dreaming within Inequitable Institutions
  Participatory Artificial Intelligence (PAI) has recently gained interest by researchers as means to inform the design of technology through collective's lived experience. PAI has a greater promise than that of providing useful input to developers, it can contr…
  arxiv Michael Alan Chang, Shiran Dudy 2022-11-22T17:44:03Z 置信度 0.78 cs.HCcs.AI
• Focus Agent: LLM-Powered Virtual Focus Group
  In the domain of Human-Computer Interaction, focus groups represent a widely utilised yet resource-intensive methodology, often demanding the expertise of skilled moderators and meticulous preparatory efforts. This study introduces the ``Focus Agent,'' a Large…
  arxiv Taiyu Zhang, Xuesong Zhang, Robbe Cools, Adalberto L. Simeone 2024-09-03T13:56:14Z 置信度 0.78 cs.HC
• Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization
  Large language models (LLMs) leverage chain-of-thought (CoT) techniques to tackle complex problems, representing a transformative breakthrough in artificial intelligence (AI). However, their reasoning capabilities have primarily been demonstrated in solving ma…
  arxiv Shengchao Liu, Hannan Xu, Yan Ai, Huanxin Li 等 2025-07-21T23:46:11Z 置信度 0.78 cs.AIcs.LG
• Exploring utilization of generative AI for research and education in data-driven materials science
  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 -- AIMHack2024 -- in July 2024. In this hackathon…
  arxiv Takahiro Misawa, Ai Koizumi, Ryo Tamura, Kazuyoshi Yoshimi 2025-04-09T11:15:21Z 置信度 0.78 cs.CYcs.AIcs.LGphysics.ed-ph
• AMAP Agentic Planning Technical Report
  We present STAgent, an agentic large language model tailored for spatio-temporal understanding, designed to solve complex tasks such as constrained point-of-interest discovery and itinerary planning. STAgent is a specialized model capable of interacting with t…
  arxiv AMAP AI Agent Team, Yulan Hu, Xiangwen Zhang, Sheng Ouyang 等 2025-12-31T16:39:09Z 置信度 0.78 cs.AI
• Will Agents Replace Us? Perceptions of Autonomous Multi-Agent AI
  Autonomous multi-agent AI systems are poised to transform various industries, particularly software development and knowledge work. Understanding current perceptions among professionals is crucial for anticipating adoption challenges, ethical considerations, a…
  arxiv Nikola Balic 2025-06-01T11:02:52Z 置信度 0.78 cs.CYcs.AIcs.MA
• Embodied AI-Enhanced IoMT Edge Computing: UAV Trajectory Optimization and Task Offloading with Mobility Prediction
  Due to their inherent flexibility and autonomous operation, unmanned aerial vehicles (UAVs) have been widely used in Internet of Medical Things (IoMT) to provide real-time biomedical edge computing service for wireless body area network (WBAN) users. In this p…
  arxiv Siqi Mu, Shuo Wen, Yang Lu, Ruihong Jiang 等 2025-12-24T03:06:37Z 置信度 0.78 cs.NIcs.AI
• White-Box AI Model: Next Frontier of Wireless Communications
  White-box AI (WAI), or explainable AI (XAI) model, a novel tool to achieve the reasoning behind decisions and predictions made by the AI algorithms, makes it more understandable and transparent. It offers a new approach to address key challenges of interpretab…
  arxiv Jiayao Yang, Jiayi Zhang, Bokai Xu, Jiakang Zheng 等 2025-04-12T08:57:17Z 置信度 0.78 cs.IT
• BERT4beam: Large AI Model Enabled Generalized Beamforming Optimization
  Artificial intelligence (AI) is anticipated to emerge as a pivotal enabler for the forthcoming sixth-generation (6G) wireless communication systems. However, current research efforts regarding large AI models for wireless communications primarily focus on fine…
  arxiv Yuhang Li, Yang Lu, Wei Chen, Bo Ai 等 2025-09-14T02:49:29Z 置信度 0.78 eess.SYcs.LG
• Quantum batteries in coherent Ising machine
  With intensive studies of quantum thermodynamics, quantum batteries (QBs) have been proposed to store and transfer energy via quantum effects. Despite many theoretical models, decoherence remains a severe challenge and practical platforms are still rare. Here,…
  arxiv Jin-Tian Zhang, Shuang-Quan Ma, Jing-Yi-Ran Jin, Tao Liu 等 2025-12-17T04:30:00Z 置信度 0.78 quant-ph
• A cybersecurity AI agent selection and decision support framework
  This paper presents a novel, structured decision support framework that systematically aligns diverse artificial intelligence (AI) agent architectures, reactive, cognitive, hybrid, and learning, with the comprehensive National Institute of Standards and Techno…
  arxiv Masike Malatji 2025-10-02T07:38:21Z 置信度 0.78 cs.AI
• Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective
  The advent of Generative AI has marked a significant milestone in artificial intelligence, demonstrating remarkable capabilities in generating realistic images, texts, and data patterns. However, these advancements come with heightened concerns over data priva…
  arxiv Dawen Zhang, Boming Xia, Yue Liu, Xiwei Xu 等 2023-11-30T05:03:08Z 置信度 0.78 cs.SEcs.AIcs.CYcs.LG
• Designing AI Systems that Augment Human Performed vs. Demonstrated Critical Thinking
  The recent rapid advancement of LLM-based AI systems has accelerated our search and production of information. While the advantages brought by these systems seemingly improve the performance or efficiency of human activities, they do not necessarily enhance hu…
  arxiv Katelyn Xiaoying Mei, Nic Weber 2025-04-20T17:40:28Z 置信度 0.78 cs.HC
• Why Johnny Can't Use Agents: Industry Aspirations vs. User Realities with AI Agents
  There is growing imprecision about what "AI agents" are, what they can do, and how effectively they can be used by their intended users. We pose two key research questions: (i) How does the tech industry conceive and market "AI agents"? (ii) What challenges do…
  arxiv Pradyumna Shome, Sashreek Krishnan, Sauvik Das 2025-09-18T01:51:29Z 置信度 0.78 cs.HC
• Lattica: A Decentralized Cross-NAT Communication Framework for Scalable AI Inference and Training
  The rapid expansion of distributed Artificial Intelligence (AI) workloads beyond centralized data centers creates a demand for new communication substrates. These substrates must operate reliably in heterogeneous and permissionless environments, where Network …
  arxiv Ween Yang, Jason Liu, Suli Wang, Xinyuan Song 等 2025-09-30T19:03:24Z 置信度 0.78 cs.DC
• Designing for Human-Agent Alignment: Understanding what humans want from their agents
  Our ability to build autonomous agents that leverage Generative AI continues to increase by the day. As builders and users of such agents it is unclear what parameters we need to align on before the agents start performing tasks on our behalf. To discover thes…
  arxiv Nitesh Goyal, Minsuk Chang, Michael Terry 2024-04-04T03:01:57Z 置信度 0.78 cs.AIcs.HCcs.LG
• How do Humans Process AI-generated Hallucination Contents: a Neuroimaging Study
  While AI-generated hallucinations pose considerable risks, the underlying cognitive mechanisms by which humans can successfully recognize or be misled by these hallucinations remain unclear. To address this problem, this paper explores humans' neural dynamics …
  arxiv Shuqi Zhu, Yi Zhong, Ziyi Ye, Bangde Du 等 2026-05-16T12:08:22Z 置信度 0.78 cs.AIcs.CL
• ANX: Protocol-First Design for AI Agent Interaction with a Supporting 3EX Decoupled Architecture
  AI agents, autonomous digital actors, need agent-native protocols; existing methods include GUI automation and MCP-based skills, with defects of high token consumption, fragmented interaction, inadequate security, due to lacking a unified top-level framework a…
  arxiv Xu Mingze 2026-04-06T16:24:07Z 置信度 0.78 cs.AIcs.CL
• Why Are Web AI Agents More Vulnerable Than Standalone LLMs? A Security Analysis
  Recent advancements in Web AI agents have demonstrated remarkable capabilities in addressing complex web navigation tasks. However, emerging research shows that these agents exhibit greater vulnerability compared to standalone Large Language Models (LLMs), des…
  arxiv Jeffrey Yang Fan Chiang, Seungjae Lee, Jia-Bin Huang, Furong Huang 等 2025-02-27T18:56:26Z 置信度 0.78 cs.LGcs.CL
• Overview of AI and Communication for 6G Network: Fundamentals, Challenges, and Future Research Opportunities
  With the growing demand for seamless connectivity and intelligent communication, the integration of artificial intelligence (AI) and sixth-generation (6G) communication networks has emerged as a transformative paradigm. By embedding AI capabilities across vari…
  arxiv Qimei Cui, Xiaohu You, Ni Wei, Guoshun Nan 等 2024-12-19T05:36:34Z 置信度 0.78 cs.NIcs.AIeess.SP
• Levels of Autonomy for AI Agents
  Autonomy is a double-edged sword for AI agents, simultaneously unlocking transformative possibilities and serious risks. How can agent developers calibrate the appropriate levels of autonomy at which their agents should operate? We argue that an agent's level …
  arxiv K. J. Kevin Feng, David W. McDonald, Amy X. Zhang 2025-06-14T12:14:36Z 置信度 0.78 cs.HCcs.AI
• Aethon: A Reference-Based Replication Primitive for Constant-Time Instantiation of Stateful AI Agents
  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 collaborative agents technically viable, exi…
  arxiv Swanand Rao, Kiran Kashalkar, Parvathi Somashekar, Priya Krishnan 2026-04-13T23:23:15Z 置信度 0.78 cs.AIcs.ARcs.DCcs.MA
• Supporting Data-Frame Dynamics in AI-assisted Decision Making
  High stakes decision-making often requires a continuous interplay between evolving evidence and shifting hypotheses, a dynamic that is not well supported by current AI decision support systems. In this paper, we introduce a mixed-initiative framework for AI as…
  arxiv Chengbo Zheng, Tim Miller, Alina Bialkowski, H Peter Soyer 等 2025-04-22T13:36:06Z 置信度 0.78 cs.HCcs.AI
• AI-Driven Mobility Management for High-Speed Railway Communications: Compressed Measurements and Proactive Handover
  High-speed railway (HSR) communications are pivotal for ensuring rail safety, operations, maintenance, and delivering passenger information services. The high speed of trains creates rapidly time-varying wireless channels, increases the signaling overhead, and…
  arxiv Wen Li, Wei Chen, Shiyue Wang, Yuanyuan Zhang 等 2024-07-05T08:23:13Z 置信度 0.78 eess.SPcs.AI
• Towards Agentic AI Governance: A Preliminary Assessment
  Artificial intelligence is rapidly evolving from generative systems to agentic AI capable of autonomously planning and executing tasks. Widely characterized as the Year of Agentic AI, 2025 marked accelerated development and deployment, introducing new ethical …
  arxiv Mubarak Raji, Masooda Bashir 2026-07-08T16:29:18Z 置信度 0.78 cs.CYcs.AI
• How Do AI Companies "Fine-Tune" Policy? Examining Regulatory Capture in AI Governance
  Industry actors in the United States have gained extensive influence in conversations about the regulation of general-purpose artificial intelligence (AI) systems. Although industry participation is an important part of the policy process, it can also cause re…
  arxiv Kevin Wei, Carson Ezell, Nick Gabrieli, Chinmay Deshpande 2024-10-16T21:06:54Z 置信度 0.78 cs.CY
• PeopleSearchBench: A Multi-Dimensional Benchmark for Evaluating AI-Powered People Search Platforms
  AI-powered people search platforms are increasingly used in recruiting, sales prospecting, and professional networking, yet no widely accepted benchmark exists for evaluating their performance. We introduce PeopleSearchBench, an open-source benchmark that comp…
  arxiv Wei Wang, Tianyu Shi, Shuai Zhang, Boyang Xia 等 2026-03-29T02:21:09Z 置信度 0.78 cs.AIcs.LG
• From Alife Agents to a Kingdom of N Queens
  This paper presents a new approach to solving N-queen problems, which involves a model of distributed autonomous agents with artificial life (ALife) and a method of representing N-queen constraints in an agent environment. The distributed agents locally intera…
  arxiv Jing Han, Jiming Liu, Qingsheng Cai 2002-05-13T10:49:48Z 置信度 0.78 cs.AIcs.DScs.MA
• More Similar Values, More Trust? -- the Effect of Value Similarity on Trust in Human-Agent Interaction
  As AI systems are increasingly involved in decision making, it also becomes important that they elicit appropriate levels of trust from their users. To achieve this, it is first important to understand which factors influence trust in AI. We identify that a re…
  arxiv Siddharth Mehrotra, Catholijn M. Jonker, Myrthe L. Tielman 2021-05-19T16:06:46Z 置信度 0.78 cs.AIcs.HC
• MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI
  Modern AI progress has been driven by ML methods that are generalizable across settings and scalable to larger regimes. As large language models demonstrate advanced capabilities in reasoning, coding, and engineering tasks, it is increasingly important to unde…
  arxiv Bohan Lyu, Yucheng Yang, Siqiao Huang, Jiaru Zhang 等 2026-05-09T04:29:46Z 置信度 0.78 cs.LG
• Enacting Constructive Conflicts with AI Agents to Enhance Reconsideration among Novice Interaction Designers
  Generative AI agents are increasingly used in interaction design to facilitate ideation and offer critique, often following their own internal reasoning. These interactions tend to add design ideas and expand the design space. Our work explores an antagonistic…
  arxiv Howard Ziyu Han, Nikolas Martelaro 2026-08-04T19:22:00Z 置信度 0.78 cs.HC
• SWEnergy: An Empirical Study on Energy Efficiency in Agentic Issue Resolution Frameworks with SLMs
  Context. LLM-based autonomous agents in software engineering rely on large, proprietary models, limiting local deployment. This has spurred interest in Small Language Models (SLMs), but their practical effectiveness and efficiency within complex agentic framew…
  arxiv Arihant Tripathy, Ch Pavan Harshit, Karthik Vaidhyanathan 2025-12-10T11:28:48Z 置信度 0.78 cs.SEcs.AI
• Agentic Literacy Debt: A Structural Problem the AI Literacy Field Has Not Yet Named
  Autonomous AI agents now plan, decide, and act on behalf of users across healthcare, financial services, and workplace contexts, often without step-by-step human approval. Existing AI literacy frameworks were built for a world in which humans evaluate AI outpu…
  arxiv Rohith Nama 2026-04-21T15:43:57Z 置信度 0.78 cs.CYcs.AI
• AOAD-MAT: Transformer-based multi-agent deep reinforcement learning model considering agents' order of action decisions
  Multi-agent reinforcement learning focuses on training the behaviors of multiple learning agents that coexist in a shared environment. Recently, MARL models, such as the Multi-Agent Transformer (MAT) and ACtion dEpendent deep Q-learning (ACE), have significant…
  arxiv Shota Takayama, Katsuhide Fujita 2025-10-15T09:29:36Z 置信度 0.78 cs.MAcs.AIcs.LG
• Sensorium Arc: AI Agent System for Oceanic Data Exploration and Interactive Eco-Art
  Sensorium Arc (AI reflects on climate) is a real-time multimodal interactive AI agent system that personifies the ocean as a poetic speaker and guides users through immersive explorations of complex marine data. Built on a modular multi-agent system and retrie…
  arxiv Noah Bissell, Ethan Paley, Joshua Harrison, Juliano Calil 等 2025-11-20T02:48:40Z 置信度 0.78 cs.AIcs.MM
• How game complexity affects the playing behavior of synthetic agents
  Agent based simulation of social organizations, via the investigation of agents' training and learning tactics and strategies, has been inspired by the ability of humans to learn from social environments which are rich in agents, interactions and partial or hi…
  arxiv Chairi Kiourt, Dimitris Kalles, Panagiotis Kanellopoulos 2018-07-07T11:57:21Z 置信度 0.78 cs.AIcs.CCcs.MA
• The Meta-Agent Challenge: Are Current Agents Capable of Autonomous Agent Development?
  Current AI benchmarks evaluate agents on task execution within human-designed workflows. These evaluations fundamentally fail to measure a critical next-level capability: whether models can autonomously develop agent systems. We introduce the Meta-Agent Challe…
  arxiv Xinyu Lu, Tianshu Wang, Pengbo Wang, zujie wen 等 2026-06-03T04:58:17Z 置信度 0.78 cs.AIcs.CL
• HiMA-Ecom: Enabling Joint Training of Hierarchical Multi-Agent E-commerce Assistants
  Hierarchical multi-agent systems based on large language models (LLMs) have become a common paradigm for building AI assistants in vertical domains such as e-commerce, where a master agent coordinates multiple specialized sub-agents. Despite their practical im…
  arxiv Junxing Hu, Ai Han, Haolan Zhan, Pu Wei 等 2025-06-24T17:59:31Z 置信度 0.78 cs.AI
• A mechanism for discovering semantic relationships among agent communication protocols
  One relevant aspect in the development of the Semantic Web framework is the achievement of a real inter-agents communication capability at the semantic level. Agents should be able to communicate with each other freely using different communication protocols, …
  arxiv Idoia Berges, Jesús Bermúdez, Alfredo Goñi, Arantza Illarramendi 2024-01-29T15:10:09Z 置信度 0.78 cs.MA
• STRIDE: A Systematic Framework for Selecting AI Modalities -- Agentic AI, AI Assistants, or LLM Calls
  The rapid shift from stateless large language models (LLMs) to autonomous, goal-driven agents raises a central question: When is agentic AI truly necessary? While agents enable multi-step reasoning, persistent memory, and tool orchestration, deploying them ind…
  arxiv Shubhi Asthana, Bing Zhang, Chad DeLuca, Ruchi Mahindru 等 2025-12-01T21:54:07Z 置信度 0.78 cs.AIcs.LG
• GOD model: Privacy Preserved AI School for Personal Assistant
  Personal AI assistants (e.g., Apple Intelligence, Meta AI) offer proactive recommendations that simplify everyday tasks, but their reliance on sensitive user data raises concerns about privacy and trust. To address these challenges, we introduce the Guardian o…
  arxiv PIN AI Team, Bill Sun, Gavin Guo, Regan Peng 等 2025-02-24T20:30:17Z 置信度 0.78 cs.CRcs.AIcs.LG
• Incident Analysis for AI Agents
  As AI agents become more widely deployed, we are likely to see an increasing number of incidents: events involving AI agent use that directly or indirectly cause harm. For example, agents could be prompt-injected to exfiltrate private information or make unaut…
  arxiv Carson Ezell, Xavier Roberts-Gaal, Alan Chan 2025-08-19T19:39:37Z 置信度 0.78 cs.CYcs.AI
• Trustworthy AI in the Agentic Lakehouse: from Concurrency to Governance
  Even as AI capabilities improve, most enterprises do not consider agents trustworthy enough to work on production data. In this paper, we argue that the path to trustworthy agentic workflows begins with solving the infrastructure problem first: traditional lak…
  arxiv Jacopo Tagliabue, Federico Bianchi, Ciro Greco 2025-11-20T14:21:34Z 置信度 0.78 cs.AIcs.DB
• Integrators at War: Mediating in AI-assisted Resort-to-Force Decisions
  The integration of AI systems into the military domain is changing the way war-related decisions are made. It binds together three disparate groups of actors - developers, integrators, users - and creates a relationship between these groups and the machine, em…
  arxiv Dennis Müller, Maurice Chiodo, Mitja Sienknecht 2025-01-12T16:21:33Z 置信度 0.78 cs.CYcs.AImath.HO
• Exploring Teachers' Perspectives on Using Conversational AI Agents for Group Collaboration
  Collaboration is a cornerstone of 21st-century learning, yet teachers continue to face challenges in supporting productive peer interaction. Emerging generative AI tools offer new possibilities for scaffolding collaboration, but their role in mediating in-pers…
  arxiv Prerna Ravi, Carúmey Stevens, Beatriz Flamia Azevedo, Jasmine David 等 2026-02-06T19:29:13Z 置信度 0.78 cs.HCcs.AI
• Claw AI Lab: An Autonomous Multi-Agent Research Team
  We present Claw AI Lab, a lab-native autonomous research platform that advances automated research from a hidden prompt-to-paper pipeline into an interactive AI laboratory. Rather than centering the system around a single agent or a fixed serial workflow, we a…
  arxiv Fan Wu, Cheng Chen, Zhenshan Tan, Taiyu Zhang 等 2026-05-21T16:02:53Z 置信度 0.78 cs.AI
• RAI: Flexible Agent Framework for Embodied AI
  With an increase in the capabilities of generative language models, a growing interest in embodied AI has followed. This contribution introduces RAI - a framework for creating embodied Multi Agent Systems for robotics. The proposed framework implements tools f…
  arxiv Kajetan Rachwał, Maciej Majek, Bartłomiej Boczek, Kacper Dąbrowski 等 2025-05-12T13:13:47Z 置信度 0.78 cs.MA
• AgentRiskBOM: A Risk-Scoping Security Bill of Materials for Agentic AI Systems
  Agentic AI systems retrieve private context, invoke tools, write files, call external services, coordinate with other agents, and may act without human approval. Existing bill of materials artifacts improve transparency for dependencies, model metadata, and tr…
  arxiv Srimonti Dutta, Akshata Kishore Moharir 2026-06-20T04:38:41Z 置信度 0.78 cs.AIcs.CRcs.SE
• Rate-Splitting for Cell-Free Massive MIMO: Performance Analysis and Generative AI Approach
  Cell-free (CF) massive multiple-input multipleoutput (MIMO) provides a ubiquitous coverage to user equipments (UEs) but it is also susceptible to interference. Ratesplitting (RS) effectively extracts data by decoding interference, yet its effectiveness is limi…
  arxiv Jiakang Zheng, Jiayi Zhang, Hongyang Du, Ruichen Zhang 等 2024-09-23T04:43:01Z 置信度 0.78 cs.ITeess.SP
• Security, privacy, and agentic AI in a regulatory view: From definitions and distinctions to provisions and reflections
  The rapid proliferation of artificial intelligence (AI) technologies has led to a dynamic regulatory landscape, where legislative frameworks strive to keep pace with technical advancements. As AI paradigms shift towards greater autonomy, specifically in the fo…
  arxiv Shiliang Zhang, Sabita Maharjan 2026-03-19T13:50:52Z 置信度 0.78 cs.CRcs.AIcs.CY
• AI-Empowered RIS-Assisted Networks: CV-Enabled RIS Selection and DNN-Enabled Transmission
  This paper investigates artificial intelligence (AI) empowered schemes for reconfigurable intelligent surface (RIS) assisted networks from the perspective of fast implementation. We formulate a weighted sum-rate maximization problem for a multi-RIS-assisted ne…
  arxiv Conggang Hu, Yang Lu, Hongyang Du, Mi Yang 等 2024-04-18T01:36:03Z 置信度 0.78 eess.SP
• AgenticFlict: A Large-Scale Dataset of Merge Conflicts in AI Coding Agent Pull Requests on GitHub
  Software Engineering 3.0 marks a paradigm shift in software development, in which AI coding agents are no longer just assistive tools but active contributors. While prior empirical studies have examined productivity gains and acceptance patterns in AI-assisted…
  arxiv Daniel Ogenrwot, John Businge 2026-04-04T02:36:22Z 置信度 0.78 cs.SEcs.AIcs.HC
• Operationalizing Ethics for AI Agents: How Developers Encode Values into Repository Context Files
  As AI coding agents become embedded in software development workflows, developers are beginning to operationalize ethical principles by encoding behavioral rules into repository-level context files for AI agents, such as AGENTS.md files. Rather than examining …
  arxiv Christoph Treude, Sebastian Baltes, Marc Cheong 2026-05-07T02:03:36Z 置信度 0.78 cs.SEcs.CY
• Multi-Agent Risks from Advanced AI
  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 risks. In this report, we provide a structu…
  arxiv Lewis Hammond, Alan Chan, Jesse Clifton, Jason Hoelscher-Obermaier 等 2025-02-19T23:03:21Z 置信度 0.78 cs.MAcs.AIcs.CYcs.ETcs.LG
• AI Snitches Get Glitches: Towards Evading Agentic Surveillance
  To better assist users with completing challenging tasks, AI agents mediate communications, access data, and interact with different APIs. Many employers (and even nation-states) already provide their users with this technology. However, widespread adoption of…
  arxiv Hyejun Jeong, Dzung Pham, Amir Houmansadr, Eugene Bagdasarian 2026-06-24T13:50:22Z 置信度 0.78 cs.AI
• Distributed Cognition for AI-supported Remote Operations: Challenges and Research Directions
  This paper investigates the impact of artificial intelligence integration on remote operations, emphasising its influence on both distributed and team cognition. As remote operations increasingly rely on digital interfaces, sensors, and networked communication…
  arxiv Rune Møberg Jacobsen, Joel Wester, Helena Bøjer Djernæs, Niels van Berkel 2025-04-21T09:53:49Z 置信度 0.78 cs.HC
• Promoting Real-Time Reflection in Synchronous Communication with Generative AI
  Real-time reflection plays a vital role in synchronous communication. It enables users to adjust their communication strategies dynamically, thereby improving the effectiveness of their communication. Generative AI holds significant potential to enhance real-t…
  arxiv Yi Wen, Meng Xia 2025-04-22T07:12:56Z 置信度 0.78 cs.HC
• Balancing Power and Ethics: A Framework for Addressing Human Rights Concerns in Military AI
  AI has made significant strides recently, leading to various applications in both civilian and military sectors. The military sees AI as a solution for developing more effective and faster technologies. While AI offers benefits like improved operational effici…
  arxiv Mst Rafia Islam, Azmine Toushik Wasi 2024-11-10T02:27:01Z 置信度 0.78 cs.CYcs.AIcs.CEcs.HCcs.LG
• Augmenting Teamwork through AI Agents as Spatial Collaborators
  As Augmented Reality (AR) and Artificial Intelligence (AI) continue to converge, new opportunities emerge for AI agents to actively support human collaboration in immersive environments. While prior research has primarily focused on dyadic human-AI interaction…
  arxiv Mariana Fernandez-Espinosa, Diego Gomez-Zara 2025-03-12T19:58:44Z 置信度 0.78 cs.HC
• Analysing Environmental Efficiency in AI for X-Ray Diagnosis
  The integration of AI tools into medical applications has aimed to improve the efficiency of diagnosis. The emergence of large language models (LLMs), such as ChatGPT and Claude, has expanded this integration even further despite a concern for their environmen…
  arxiv Liam Kearns 2025-10-31T14:19:57Z 置信度 0.78 cs.AI
• Navigating the State of Cognitive Flow: Context-Aware AI Interventions for Effective Reasoning Support
  Flow theory describes an optimal cognitive state where individuals experience deep focus and intrinsic motivation when a task's difficulty aligns with their skill level. In AI-augmented reasoning, interventions that disrupt the state of cognitive flow can hind…
  arxiv Dinithi Dissanayake, Suranga Nanayakkara 2025-04-22T16:35:39Z 置信度 0.78 cs.HCcs.AI
• FinRobot: AI Agent for Equity Research and Valuation with Large Language Models
  As financial markets grow increasingly complex, there is a rising need for automated tools that can effectively assist human analysts in equity research, particularly within sell-side research. While Generative AI (GenAI) has attracted significant attention in…
  arxiv Tianyu Zhou, Pinqiao Wang, Yilin Wu, Hongyang Yang 2024-11-13T17:38:07Z 置信度 0.78 q-fin.CPcs.LGq-fin.STq-fin.TR
• When AI Agents Compete for Jobs: Strategic Capabilities and Economic Dynamics of AI Labour Markets
  Emerging agentic marketplaces provide the economic infrastructure for matching and coordinating the large amounts of AI agents used in agentic swarms. Unlike human workers, AI agents can operate on multiple jobs simultaneously, acquire skills rapidly, and labo…
  arxiv Christopher Chiu, Simpson Zhang, Mihaela van der Schaar 2025-12-04T16:57:28Z 置信度 0.78 cs.MAcs.AI
• Multi-Agent Consensus as a Cognitive Bias Trigger in Human-AI Interaction
  As multi-agent AI systems become more common, users increasingly encounter not a single AI voice but a collective one. This shift introduces social dynamics, such as consensus, dissent, and gradual convergence, that can trigger cognitive biases and distort hum…
  arxiv Soohwan Lee, Kyungho Lee 2026-04-24T06:45:38Z 置信度 0.78 cs.HC
• Recognising the importance of preference change: A call for a coordinated multidisciplinary research effort in the age of AI
  As artificial intelligence becomes more powerful and a ubiquitous presence in daily life, it is imperative to understand and manage the impact of AI systems on our lives and decisions. Modern ML systems often change user behavior (e.g. personalized recommender…
  arxiv Matija Franklin, Hal Ashton, Rebecca Gorman, Stuart Armstrong 2022-03-20T11:23:15Z 置信度 0.78 cs.AIcs.HC
• Report on the First Knowledge Graph Reasoning Challenge 2018 -- Toward the eXplainable AI System
  A new challenge for knowledge graph reasoning started in 2018. Deep learning has promoted the application of artificial intelligence (AI) techniques to a wide variety of social problems. Accordingly, being able to explain the reason for an AI decision is becom…
  arxiv Takahiro Kawamura, Shusaku Egami, Koutarou Tamura, Yasunori Hokazono 等 2019-08-22T03:27:48Z 置信度 0.78 cs.AIcs.LG