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• AI Technology Adoption in Corporate IT Network Operations Based on the TOE Model
  As the digital environment evolves, the need to integrate artificial intelligence (AI) technology into corporate IT network operations increases. In this study, the aim was to define the factors that influence AI adoption in the network operations and analyze …
  openalex Seoungkwon Min, Boyoung Kim 2024-11-13 置信度 0.72 BusinessComputer scienceKnowledge managementIndustrial organizationProcess management
• Impact Pathways of AI-Supported Instruction on Learning Behaviors, Competence Development, and Academic Achievement in Engineering Education
  With the increasing integration of artificial intelligence into education, traditional instructional models in Hydraulic Engineering are shifting toward competence- and performance-oriented pedagogy under the New Engineering framework. Rooted in constructivist…
  openalex Yu Wan, Rui Li, Wenjie Li, Hongbo Du 2025-09-07 置信度 0.72 Competence (human resources)Mathematics educationAcademic achievementEngineering educationPsychology
• Towards Intelligent Universities Enhanced with Artificial Intelligence (AI)
  This paper presents a comprehensive and integrated paradigm for intelligent universities using artificial intelligence (AI) to transform management systems and teaching, thus complementing sustainable development objectives. Through a systematic examination of…
  openalex ‫Mohammed Ahmed Abou Adel, Moustafa Mohamed Abouelnour, Mohammad Issa Alhourani, Asmaa Awad 2025-01-13 置信度 0.72 Software deploymentArtificial intelligenceComputer scienceApplications of artificial intelligenceWatson
• Assessing the Anatomical Accuracy of AI‐Generated Medical Illustrations: A Comparative Study of Text‐to‐Image Generator Tools in Anatomy Education
  Historically, human anatomy education has been an essential part of medical training, depending on cadaveric dissection and anatomical representations. However, financial and ethical limitations have resulted in a decline in conventional teaching techniques, n…
  openalex Mamdouh Eldesoqui, Emad A. Albadawi, Khalid I. AlQumaizi, Maryam Nizar Mohammad Radwan 等 2025-07-09 置信度 0.72 MedicineGenerator (circuit theory)AnatomyMedical physicsPower (physics)
• Toyteller: AI-powered Visual Storytelling Through Toy-Playing with Character Symbols
  We introduce Toyteller, an AI-powered storytelling system where users generate a mix of story text and visuals by directly manipulating character symbols like they are toy-playing. Anthropomorphized symbol motions can convey rich and nuanced social interaction…
  openalex John Joon Young Chung, Melissa Roemmele, Max Kreminski 2025-04-23 置信度 0.72 StorytellingComputer scienceCharacter (mathematics)Motion (physics)Symbol (formal)
• The AI Gap: How Socioeconomic Status Affects Language Technology Interactions
  Socioeconomic status (SES) fundamentally influences how people interact with each other and more recently, with digital technologies like Large Language Models (LLMs).While previous research has highlighted the interaction between SES and language technology, …
  openalex Elisa Bassignana, Amanda Cercas Curry, Dirk Hovy 2025-01-01 置信度 0.72 Socioeconomic statusComputer scienceArtificial intelligenceSociologyDemography
• From Principles to Rules: A Regulatory Approach for Frontier AI
  Several jurisdictions are starting to regulate frontier artificial intelligence (AI) systems, i.e. general-purpose AI systems that match or exceed the capabilities present in the most advanced systems. To reduce risks from these systems, regulators may require…
  openalex Jonas Schuett, Markus Anderljung, Alexis Carlier, Leonie Koessler 等 2024-07-10 置信度 0.72 FrontierComputer scienceEconomicsPolitical scienceLaw
• A Review of Innovative Medical Rehabilitation Systems with Scalable AI-Assisted Platforms for Sensor-Based Recovery Monitoring
  Artificial intelligence (AI) and machine learning (ML) have introduced new approaches to medical rehabilitation. These technological advances facilitate the development of large-scale adaptive rehabilitation platforms that can be tailored to individual patient…
  openalex Assiya Boltaboyeva, Zhanel Baigarayeva, Баглан Иманбек, Кassymbek Ozhikenov 等 2025-06-18 置信度 0.72 Computer scienceRehabilitationScalabilityKey (lock)Health care
• Trustworthy AI for Whom? GenAI Detection Techniques of Trust Through Decentralized Web3 Ecosystems
  As generative AI (GenAI) technologies proliferate, ensuring trust and transparency in digital ecosystems becomes increasingly critical, particularly within democratic frameworks. This article examines decentralized Web3 mechanisms—blockchain, decentralized aut…
  openalex Igor Calzada, Géza Németh, Mohammed Salah Al-Radhi 2025-03-06 置信度 0.72 TrustworthinessComputer scienceEcosystemComputer securityBusiness
• Something AI Should Tell You – The Case for Labelling Synthetic Content
  ABSTRACT Synthetic content, which has been produced by generative artificial intelligence, is beginning to spread through the public sphere. Increasingly, we find ourselves exposed to convincing ‘deepfakes’ and powerful chatbots in our online environments. How…
  openalex Sarah A. Fisher 2024-08-18 置信度 0.72 LabellingContent (measure theory)Computer scienceSociologyMathematics
• The Missing Link: Knowledge Management and the Social Dimension of Business-IT Alignment
  Business-IT alignment (BITA) remains a persistent challenge for organizations seeking to derive strategic value from their IT investments. While substantial research has explored the strategic and intellectual dimensions of the construct, the social dimension,…
  openalex Rikard Kloth, Gideon Mekonnen Jonathan 2025-04-30 置信度 0.72 Dimension (graph theory)Link (geometry)Knowledge managementBusinessProcess management
• Toward Intelligent AIoT: A Comprehensive Survey on Digital Twin and Multimodal Generative AI Integration
  The Artificial Intelligence of Things (AIoT) is rapidly evolving from basic connectivity to intelligent perception, reasoning, and decision making across domains such as healthcare, manufacturing, transportation, and smart cities. Multimodal generative AI (GAI…
  openalex Xiaoyi Luo, Aiwen Wang, Xinling Zhang, Kun Huang 等 2025-10-23 置信度 0.72 Computer scienceGenerative grammarKey (lock)Artificial intelligenceOpen research
• Towards Tool Use Alignment of Large Language Models
  Recently, tool use with LLMs has become one of the primary research topics as it can help LLM generate truthful and helpful responses.Existing studies on tool use with LLMs primarily focus on enhancing the tool-calling ability of LLMs.In practice, like chat as…
  openalex Zhiyuan Chen, Shiqi Shen, Guangyao Shen, Zhi Gong 等 2024-01-01 置信度 0.72 Computer scienceProgramming languageNatural language processingArtificial intelligence
• Participatory Co-Design and Evaluation of a Novel Approach to Generative AI-Integrated Coursework Assessment in Higher Education
  Generative AI tools offer opportunities for enhancing learning and assessment, but raise concerns about equity, academic integrity, and the ability to critically engage with AI-generated content. This study explores these issues within a psychology-oriented po…
  openalex Alex F. Martin, Svitlana Tubaltseva, Anja Harrison, G. James Rubin 2025-06-12 置信度 0.72 CourseworkGenerative grammarCitizen journalismMathematics educationSociology
• Generative AI in service research: promise or peril?
  Generative artificial intelligence (Gen AI), exemplified by ChatGPT, has recently garnered significant attention among researchers. The service community, in particular, has shown a growing interest in the opportunities and challenges that Gen AI presents for …
  openalex Do The Khoa 2025-07-03 置信度 0.72 Generative grammarService (business)BusinessMarketingProcess management
• Position Paper: Agent AI Towards a Holistic Intelligence
  Recent advancements in large foundation models have remarkably enhanced our understanding of sensory information in open-world environments. In leveraging the power of foundation models, it is crucial for AI research to pivot away from excessive reductionism a…
  openalex Qiuyuan Huang, Naoki Wake, Bidipta Sarkar, Zane Durante 等 2024-02-28 置信度 0.72 Position (finance)Position paperArtificial intelligenceComputer scienceBusiness
• A comparative study of 11 non-linear regression models highlighting autoencoder, DBN, and SVR, enhanced by SHAP importance analysis in soybean branching prediction
  Abstract To explore a robust tool for advancing digital breeding practices through an artificial intelligence-driven phenotype prediction expert system, we undertook a thorough analysis of 11 non-linear regression models. Our investigation specifically emphasi…
  openalex Wei Zhou, Zhengxiao Yan, Liting Zhang 2024-03-11 置信度 0.72 Artificial intelligenceRandom forestSupport vector machineRegressionFeature selection
• Designing Skill-Compatible AI: Methodologies and Frameworks in Chess
  Powerful artificial intelligence systems are often used in settings where they must interact with agents that are computationally much weaker, for example when they work alongside humans or operate in complex environments where some tasks are handled by algori…
  arxiv Karim Hamade, Reid McIlroy-Young, Siddhartha Sen, Jon Kleinberg 等 2024-05-08T14:04:35Z 置信度 0.78 cs.AIcs.CYcs.LG
• Enhancing Multilingual Voice Toxicity Detection with Speech-Text Alignment
  Toxicity classification for voice heavily relies on the semantic content of speech. We propose a novel framework that utilizes cross-modal learning to integrate the semantic embedding of text into a multilabel speech toxicity classifier during training. This e…
  arxiv Joseph Liu, Mahesh Kumar Nandwana, Janne Pylkkönen, Hannes Heikinheimo 等 2024-06-14T17:56:53Z 置信度 0.78 cs.CLcs.LGeess.AS
• Training an AI hyperelastic constitutive model with experimental data
  A Physics-Augmented Neural network is trained to model a hyperelastic behavior. The dataset used for the training, validation, and test are displacement-force couples obtained from two experiments on a rubber-like material. One experiment was dedicated for the…
  arxiv Clément Jailin, Antoine Benady, Emmanuel Baranger 2024-10-07T09:36:47Z 置信度 0.78 cs.CE
• Structuring the Space of Sociotechnical Alignment
  Sociotechnical alignment concerns the social desirability of AI behavior and is thus inherently normative, not merely technical. While NLP research increasingly addresses its technical aspects, it often leaves underspecified what such "social desirability" ent…
  arxiv Esra Dönmez, Agnieszka Falenska 2026-06-02T12:01:54Z 置信度 0.78 cs.CYcs.AIcs.CL
• Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization
  Large language models (LLMs) have revolutionized the role of AI, yet pose potential social risks. To steer LLMs towards human preference, alignment technologies have been introduced and gained increasing attention. Nevertheless, existing methods heavily rely o…
  arxiv Shitong Duan, Xiaoyuan Yi, Peng Zhang, Yan Liu 等 2024-03-06T03:02:38Z 置信度 0.78 cs.CLcs.AI
• Imagining Better AI-Enabled Healthcare Futures: The Case for Care by Design
  We find ourselves on the ever-shifting cusp of an AI revolution -- with potentially metamorphic implications for the future practice of healthcare. For many, such innovations cannot come quickly enough; as healthcare systems worldwide struggle to keep up with …
  arxiv Kevin Doherty, Emma Kallina, Kayley Moylan, María Paula Silva 等 2024-11-04T13:15:06Z 置信度 0.78 cs.HC
• What will be the Euclidean dimension of an Ising ferromagnetic cubic shell?
  The equilibrium and nonequilibrium properties of an Ising ferromagnetic cubic shell have been extensively studied by Monte Carlo simulation using Metropolis single spin flip algorithm. Although, geometrically the Euclidean dimension of the cubical shell is thr…
  arxiv Ishita Tikader, Muktish Acharyya 2024-08-03T15:10:30Z 置信度 0.78 cond-mat.stat-mech
• AI Ethics by Design: Implementing Customizable Guardrails for Responsible AI Development
  This paper explores the development of an ethical guardrail framework for AI systems, emphasizing the importance of customizable guardrails that align with diverse user values and underlying ethics. We address the challenges of AI ethics by proposing a structu…
  arxiv Kristina Šekrst, Jeremy McHugh, Jonathan Rodriguez Cefalu 2024-11-05T18:38:30Z 置信度 0.78 cs.CYcs.CL
• Beauty in the Eye of AI: Aligning LLMs and Vision Models with Human Aesthetics in Network Visualization
  Network visualization has traditionally relied on heuristic metrics, such as stress, under the assumption that optimizing them leads to aesthetic and informative layouts. However, no single metric consistently produces the most effective results. A data-driven…
  arxiv Peng Zhang, Xuefeng Li, Xiaoqi Wang, Han-Wei Shen 等 2026-04-03T19:30:34Z 置信度 0.78 cs.LG
• Adapt PointFormer: 3D Point Cloud Analysis via Adapting 2D Visual Transformers
  Pre-trained large-scale models have exhibited remarkable efficacy in computer vision, particularly for 2D image analysis. However, when it comes to 3D point clouds, the constrained accessibility of data, in contrast to the vast repositories of images, poses a …
  arxiv Mengke Li, Da Li, Guoqing Yang, Yiu-ming Cheung 等 2024-07-18T06:32:45Z 置信度 0.78 cs.CV
• Proceedings Sixth Workshop on Models for Formal Analysis of Real Systems
  This volume contains the proceedings of MARS 2024, the sixth workshop on Models for Formal Analysis of Real Systems, held as part of ETAPS 2024, the European Joint Conferences on Theory and Practice of Software. The MARS workshops bring together researchers fr…
  arxiv Frédéric Lang, Matthias Volk 2024-03-26T16:49:46Z 置信度 0.78 cs.LOcs.PLcs.SE
• Towards Real-World HDR Video Reconstruction: A Large-Scale Benchmark Dataset and A Two-Stage Alignment Network
  As an important and practical way to obtain high dynamic range (HDR) video, HDR video reconstruction from sequences with alternating exposures is still less explored, mainly due to the lack of large-scale real-world datasets. Existing methods are mostly traine…
  arxiv Yong Shu, Liquan Shen, Xiangyu Hu, Mengyao Li 等 2024-04-30T23:29:26Z 置信度 0.78 cs.CV
• Multi-Stage Speech Bandwidth Extension with Flexible Sampling Rate Control
  The majority of existing speech bandwidth extension (BWE) methods operate under the constraint of fixed source and target sampling rates, which limits their flexibility in practical applications. In this paper, we propose a multi-stage speech BWE model named M…
  arxiv Ye-Xin Lu, Yang Ai, Zheng-Yan Sheng, Zhen-Hua Ling 2024-06-04T12:17:11Z 置信度 0.78 eess.AScs.SD
• A Near-Infrared L Band Survey of the Young Embedded Cluster NGC 2024
  We present the results of the first sensitive L band (3.4 micron) imaging study of the nearby young embedded cluster NGC 2024. Two separate surveys of the cluster were acquired in order to obtain a census of the circumstellar disk fraction in the cluster. From…
  arxiv Karl E. Haisch, Elizabeth A. Lada, Charles J. Lada 2000-06-15T21:30:07Z 置信度 0.78 astro-ph
• Can AI Make Conflicts Worse? An Alignment Failure in LLM Deployment Across Conflict Contexts
  AI models are already deployed in societies affected by armed conflict, and journalists, humanitarian workers, governments and ordinary citizens rely on them for information or for their work processes. No established practice exists for checking whether their…
  arxiv Andrii Kryshtal 2026-05-21T16:55:39Z 置信度 0.78 cs.AIcs.HC
• Navigating the Shadows: Unveiling Effective Disturbances for Modern AI Content Detectors
  With the launch of ChatGPT, large language models (LLMs) have attracted global attention. In the realm of article writing, LLMs have witnessed extensive utilization, giving rise to concerns related to intellectual property protection, personal privacy, and aca…
  arxiv Ying Zhou, Ben He, Le Sun 2024-06-13T08:37:01Z 置信度 0.78 cs.CLcs.AIcs.LG
• Aligning Large Language Models by On-Policy Self-Judgment
  Existing approaches for aligning large language models with human preferences face a trade-off that requires a separate reward model (RM) for on-policy learning. In this paper, we present a novel alignment framework, SELF-JUDGE that (1) does on-policy learning…
  arxiv Sangkyu Lee, Sungdong Kim, Ashkan Yousefpour, Minjoon Seo 等 2024-02-17T11:25:26Z 置信度 0.78 cs.LGcs.AIcs.CL
• Efficient Facial Landmark Detection for Embedded Systems
  This paper introduces the Efficient Facial Landmark Detection (EFLD) model, specifically designed for edge devices confronted with the challenges related to power consumption and time latency. EFLD features a lightweight backbone and a flexible detection head,…
  arxiv Ji-Jia Wu 2024-07-14T14:49:20Z 置信度 0.78 cs.CV
• Enhanced Super-Resolution Training via Mimicked Alignment for Real-World Scenes
  Image super-resolution methods have made significant strides with deep learning techniques and ample training data. However, they face challenges due to inherent misalignment between low-resolution (LR) and high-resolution (HR) pairs in real-world datasets. In…
  arxiv Omar Elezabi, Zongwei Wu, Radu Timofte 2024-10-07T18:18:54Z 置信度 0.78 cs.CVeess.IV
• DAC: 2D-3D Retrieval with Noisy Labels via Divide-and-Conquer Alignment and Correction
  With the recent burst of 2D and 3D data, cross-modal retrieval has attracted increasing attention recently. However, manual labeling by non-experts will inevitably introduce corrupted annotations given ambiguous 2D/3D content. Though previous works have addres…
  arxiv Chaofan Gan, Yuanpeng Tu, Yuxi Li, Weiyao Lin 2024-07-25T05:18:18Z 置信度 0.78 cs.CV
• Mixing and demixing of binary mixtures of polar chiral active particles
  We study a binary mixture of polar chiral (counterclockwise or clockwise) active particles in a two-dimensional box with periodic boundary conditions. Beside the excluded volume interactions between particles, particles are also subject to the polar velocity a…
  arxiv Bao-quan Ai, Zhi-gang Shao, Wei-rong Zhong 2018-05-31T09:27:44Z 置信度 0.78 cond-mat.softcond-mat.stat-mech
• Killer Apps: Low-Speed, Large-Scale AI Weapons
  The accelerating advancements in Artificial Intelligence (AI) and Machine Learning (ML), highlighted by the development of cutting-edge Generative Pre-trained Transformer (GPT) models by organizations such as OpenAI, Meta, and Anthropic, present new challenges…
  arxiv Philip Feldman, Aaron Dant, James R. Foulds 2024-01-14T12:09:40Z 置信度 0.78 cs.CYcs.CRcs.LG
• Training AI to be Loyal
  Loyal AI is loyal to the community that builds it. An AI is loyal to a community if the community has ownership, alignment, and control. Community owned models can only be used with the approval of the community and share the economic rewards communally. Commu…
  arxiv Sewoong Oh, Himanshu Tyagi, Pramod Viswanath 2025-01-27T19:11:19Z 置信度 0.78 cs.CYcs.AIcs.CRcs.LG
• FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback
  Large Vision-Language Models (LVLMs) have demonstrated proficiency in tackling a variety of visual-language tasks. However, current LVLMs suffer from misalignment between text and image modalities which causes three kinds of hallucination problems, i.e., objec…
  arxiv Liqiang Jing, Xinya Du 2024-04-07T19:00:45Z 置信度 0.78 cs.CVcs.CL
• Smart Vision-Language Reasoners
  In this article, we investigate vision-language models (VLM) as reasoners. The ability to form abstractions underlies mathematical reasoning, problem-solving, and other Math AI tasks. Several formalisms have been given to these underlying abstractions and skil…
  arxiv Denisa Roberts, Lucas Roberts 2024-07-05T01:47:21Z 置信度 0.78 cs.AI
• SelfCodeAlign: Self-Alignment for Code Generation
  Instruction tuning is a supervised fine-tuning approach that significantly improves the ability of large language models (LLMs) to follow human instructions. We propose SelfCodeAlign, the first fully transparent and permissive pipeline for self-aligning code L…
  arxiv Yuxiang Wei, Federico Cassano, Jiawei Liu, Yifeng Ding 等 2024-10-31T17:55:13Z 置信度 0.78 cs.CLcs.LGcs.SE
• WisPerMed at "Discharge Me!": Advancing Text Generation in Healthcare with Large Language Models, Dynamic Expert Selection, and Priming Techniques on MIMIC-IV
  This study aims to leverage state of the art language models to automate generating the "Brief Hospital Course" and "Discharge Instructions" sections of Discharge Summaries from the MIMIC-IV dataset, reducing clinicians' administrative workload. We investigate…
  arxiv Hendrik Damm, Tabea M. G. Pakull, Bahadır Eryılmaz, Helmut Becker 等 2024-05-18T10:56:45Z 置信度 0.78 cs.CLcs.LG
• Exploring Parent's Needs for Children-Centered AI to Support Preschoolers' Interactive Storytelling and Reading Activities
  Interactive storytelling is vital for preschooler development. While children's interactive partners have traditionally been their parents and teachers, recent advances in artificial intelligence (AI) have sparked a surge of AI-based storytelling and reading t…
  arxiv Yuling Sun, Jiaju Chen, Bingsheng Yao, Jiali Liu 等 2024-01-24T20:55:40Z 置信度 0.78 cs.HCcs.CY
• Dynamic Normativity: Necessary and Sufficient Conditions for Value Alignment
  The critical inquiry pervading the realm of Philosophy, and perhaps extending its influence across all Humanities disciplines, revolves around the intricacies of morality and normativity. Surprisingly, in recent years, this thematic thread has woven its way in…
  arxiv Nicholas Kluge Corrêa 2024-06-16T18:37:31Z 置信度 0.78 cs.AIcs.CY
• Concept Alignment as a Prerequisite for Value Alignment
  Value alignment is essential for building AI systems that can safely and reliably interact with people. However, what a person values -- and is even capable of valuing -- depends on the concepts that they are currently using to understand and evaluate what hap…
  arxiv Sunayana Rane, Mark Ho, Ilia Sucholutsky, Thomas L. Griffiths 2023-10-30T22:23:15Z 置信度 0.78 cs.AI
• Synthetic emotions and consciousness: exploring architectural boundaries
  As artificial agents display increasingly sophisticated emotion-like behaviors, frameworks for assessing whether such systems risk instantiating consciousness remain limited. This contribution asks whether synthetic emotion-like control can be implemented whil…
  arxiv Hermann Borotschnig 2025-05-01T17:37:14Z 置信度 0.78 cs.AIcs.CY
• HyperParallel-MoE: Multi-Core Interleaved Scheduling for Fast MoE Training on Ascend NPUs
  Modern Mixture-of-Experts (MoE) models increasingly rely on large-scale AI accelerator clusters for efficient training. Ascend NPUs expose heterogeneous on-chip compute resources, including matrix-oriented AIC units and vector-oriented AIV units with explicit …
  arxiv Zewen Jin, Congkun Ai, Guangpeng Zhang, Hanbo Zhang 等 2026-05-22T15:35:23Z 置信度 0.78 cs.DC
• No Captions, No Problem: Captionless 3D-CLIP Alignment with Hard Negatives via CLIP Knowledge and LLMs
  In this study, we explore an alternative approach to enhance contrastive text-image-3D alignment in the absence of textual descriptions for 3D objects. We introduce two unsupervised methods, $I2I$ and $(I2L)^2$, which leverage CLIP knowledge about textual and …
  arxiv Cristian Sbrolli, Matteo Matteucci 2024-06-04T10:57:59Z 置信度 0.78 cs.CVcs.AI
• Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models
  The alignments of reasoning abilities between smaller and larger Language Models are largely conducted via Supervised Fine-Tuning (SFT) using demonstrations generated from robust Large Language Models (LLMs). Although these approaches deliver more performant m…
  arxiv Leonardo Ranaldi, Andrè Freitas 2024-05-01T09:10:27Z 置信度 0.78 cs.CL
• MoDiPO: text-to-motion alignment via AI-feedback-driven Direct Preference Optimization
  Diffusion Models have revolutionized the field of human motion generation by offering exceptional generation quality and fine-grained controllability through natural language conditioning. Their inherent stochasticity, that is the ability to generate various o…
  arxiv Massimiliano Pappa, Luca Collorone, Giovanni Ficarra, Indro Spinelli 等 2024-05-06T19:19:20Z 置信度 0.78 cs.CV
• Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models
  Large language models are usually fine-tuned to align with human preferences. However, fine-tuning a large language model can be challenging. In this work, we introduce $\textit{weak-to-strong search}$, framing the alignment of a large language model as a test…
  arxiv Zhanhui Zhou, Zhixuan Liu, Jie Liu, Zhichen Dong 等 2024-05-29T16:55:32Z 置信度 0.78 cs.CLcs.AIcs.LG
• Poster: From Fort to Foe: The Threat of RCE in RPKI
  In this work, we present a novel severe buffer-overflow vulnerability in the RPKI validator Fort, that allows an attacker to achieve Remote Code Execution (RCE) on the machine running the software. We discuss the unique impact of this RCE on networks that use …
  arxiv Oliver Jacobsen, Haya Schulmann, Niklas Vogel, Michael Waidner 2024-11-25T16:01:02Z 置信度 0.78 cs.CR
• Proceedings of the First International Workshop on Next-Generation Language Models for Knowledge Representation and Reasoning (NeLaMKRR 2024)
  Reasoning is an essential component of human intelligence as it plays a fundamental role in our ability to think critically, support responsible decisions, and solve challenging problems. Traditionally, AI has addressed reasoning in the context of logic-based …
  arxiv Ken Satoh, Ha-Thanh Nguyen, Francesca Toni, Randy Goebel 等 2024-10-07T02:31:47Z 置信度 0.78 cs.AI
• Learning representations of learning representations
  The ICLR conference is unique among the top machine learning conferences in that all submitted papers are openly available. Here we present the ICLR dataset consisting of abstracts of all 24 thousand ICLR submissions from 2017-2024 with meta-data, decision sco…
  arxiv Rita González-Márquez, Dmitry Kobak 2024-04-12T11:30:16Z 置信度 0.78 cs.CLcs.DLcs.LG
• AICat: An AI Cataloguing Approach to Support the EU AI Act
  The European Union's Artificial Intelligence Act (AI Act) requires providers and deployers of high-risk AI applications to register their systems into the EU database, wherein the information should be represented and maintained in an easily-navigable and mach…
  arxiv Delaram Golpayegani, Harshvardhan J. Pandit, Dave Lewis 2024-12-19T23:48:20Z 置信度 0.78 cs.DLcs.AIcs.CY
• Comparative Analysis Vision of Worldwide AI Courses
  This research investigates the curriculum structures of undergraduate Artificial Intelligence (AI) education across universities worldwide. By examining the curricula of leading universities, the research seeks to contribute to a deeper understanding of AI edu…
  arxiv Jianing Xia, Man Li, Jianxin Li 2024-06-04T03:53:57Z 置信度 0.78 cs.CYcs.AI
• The Rise of AI Search: Implications for Information Markets and Human Judgement at Scale
  We executed 24,000 search queries in 243 countries, generating 2.8 million AI and traditional search results in 2024 and 2025. We found a rapid global expansion of AI search and key trends that reflect important, previously hidden, policy decisions by AI compa…
  arxiv Sinan Aral, Haiwen Li, Rui Zuo 2026-02-13T19:35:56Z 置信度 0.78 cs.CY
• Deconstructing Human-AI Collaboration: Agency, Interaction, and Adaptation
  As full AI-based automation remains out of reach in most real-world applications, the focus has instead shifted to leveraging the strengths of both human and AI agents, creating effective collaborative systems. The rapid advances in this area have yielded incr…
  arxiv Steffen Holter, Mennatallah El-Assady 2024-04-18T10:12:18Z 置信度 0.78 cs.HCcs.AI
• LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
  Large decoder-only language models (LLMs) are the state-of-the-art models on most of today's NLP tasks and benchmarks. Yet, the community is only slowly adopting these models for text embedding tasks, which require rich contextualized representations. In this …
  arxiv Parishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, Dzmitry Bahdanau 等 2024-04-09T02:51:05Z 置信度 0.78 cs.CLcs.AI
• LongFin: A Multimodal Document Understanding Model for Long Financial Domain Documents
  Document AI is a growing research field that focuses on the comprehension and extraction of information from scanned and digital documents to make everyday business operations more efficient. Numerous downstream tasks and datasets have been introduced to facil…
  arxiv Ahmed Masry, Amir Hajian 2024-01-26T18:23:45Z 置信度 0.78 cs.CL
• Enhancing Transparency and Traceability in Healthcare AI: The AI Product Passport
  Objective: To develop the AI Product Passport, a standards-based framework improving transparency, traceability, and compliance in healthcare AI via lifecycle-based documentation. Materials and Methods: The AI Product Passport was developed within the AI4HF pr…
  arxiv A. Anil Sinaci, Senan Postaci, Dogukan Cavdaroglu, Machteld J. Boonstra 等 2025-12-04T08:35:22Z 置信度 0.78 cs.CYcs.AI
• Using Pretrained Large Language Model with Prompt Engineering to Answer Biomedical Questions
  Our team participated in the BioASQ 2024 Task12b and Synergy tasks to build a system that can answer biomedical questions by retrieving relevant articles and snippets from the PubMed database and generating exact and ideal answers. We propose a two-level infor…
  arxiv Wenxin Zhou, Thuy Hang Ngo 2024-07-09T11:48:49Z 置信度 0.78 cs.CL
• The ATTUNE model for Artificial Trust Towards Human Operators
  This paper presents a novel method to quantify Trust in HRI. It proposes an HRI framework for estimating the Robot Trust towards the Human in the context of a narrow and specified task. The framework produces a real-time estimation of an AI agent's Artificial …
  arxiv Giannis Petousakis, Angelo Cangelosi, Rustam Stolkin, Manolis Chiou 2024-11-29T09:53:21Z 置信度 0.78 cs.RO
• Prediction Exposes Your Face: Black-box Model Inversion via Prediction Alignment
  Model inversion (MI) attack reconstructs the private training data of a target model given its output, posing a significant threat to deep learning models and data privacy. On one hand, most of existing MI methods focus on searching for latent codes to represe…
  arxiv Yufan Liu, Wanqian Zhang, Dayan Wu, Zheng Lin 等 2024-07-11T01:58:35Z 置信度 0.78 cs.CV
• MAP: Multi-Human-Value Alignment Palette
  Ensuring that generative AI systems align with human values is essential but challenging, especially when considering multiple human values and their potential trade-offs. Since human values can be personalized and dynamically change over time, the desirable l…
  arxiv Xinran Wang, Qi Le, Ammar Ahmed, Enmao Diao 等 2024-10-24T23:16:39Z 置信度 0.78 cs.AIcs.CYcs.ETcs.HCcs.LG
• Self-Supervised Contrastive Learning for Videos using Differentiable Local Alignment
  Robust frame-wise embeddings are essential to perform video analysis and understanding tasks. We present a self-supervised method for representation learning based on aligning temporal video sequences. Our framework uses a transformer-based encoder to extract …
  arxiv Keyne Oei, Amr Gomaa, Anna Maria Feit, João Belo 2024-09-06T20:32:53Z 置信度 0.78 cs.CV
• One-Shot Manipulation Strategy Learning by Making Contact Analogies
  We present a novel approach, MAGIC (manipulation analogies for generalizable intelligent contacts), for one-shot learning of manipulation strategies with fast and extensive generalization to novel objects. By leveraging a reference action trajectory, MAGIC eff…
  arxiv Yuyao Liu, Jiayuan Mao, Joshua Tenenbaum, Tomás Lozano-Pérez 等 2024-11-14T17:54:43Z 置信度 0.78 cs.ROcs.AIcs.CV
• The Drawback of Insight: Detailed Explanations Can Reduce Agreement with XAI
  With the emergence of Artificial Intelligence (AI)-based decision-making, explanations help increase new technology adoption through enhanced trust and reliability. However, our experimental study challenges the notion that every user universally values explan…
  arxiv Sabid Bin Habib Pias, Alicia Freel, Timothy Trammel, Taslima Akter 等 2024-04-30T15:29:01Z 置信度 0.78 cs.HC
• ConnectED: A Curriculum-Aligned AI System for Vietnamese Instructional Lesson Planning and Student Learning
  This paper presents ConnectED, a human-centered AI system that supports the full instructional lifecycle in Vietnamese education by linking curriculum-aligned lesson design, interactive student learning, and feedback-driven refinement. Built on VietEduQwen, a …
  arxiv Thang Doan Viet, Anh Nguyen Hoang, Tinh Luong Son, Anh Hoang Thi Ngoc 等 2026-06-02T08:40:14Z 置信度 0.78 cs.HCcs.AI
• Federated Graph Learning with Structure Proxy Alignment
  Federated Graph Learning (FGL) aims to learn graph learning models over graph data distributed in multiple data owners, which has been applied in various applications such as social recommendation and financial fraud detection. Inherited from generic Federated…
  arxiv Xingbo Fu, Zihan Chen, Binchi Zhang, Chen Chen 等 2024-08-18T07:32:54Z 置信度 0.78 cs.LGcs.AIcs.DC
• Coral Model Generation from Single Images for Virtual Reality Applications
  With the rapid development of VR technology, the demand for high-quality 3D models is increasing. Traditional methods struggle with efficiency and quality in large-scale customization. This paper introduces a deep-learning framework that generates high-precisi…
  arxiv Jie Fu, Shun Fu, Mick Grierson 2024-09-04T01:54:20Z 置信度 0.78 cs.CVcs.AIcs.GRcs.HCcs.MM
• Toward Federated Multimodal Graph Foundation Models: A Topology-Aware Multimodal Alignment Framework
  Multimodal-attributed graphs (MAGs), whose nodes carry modalities such as images and text alongside topological structure, now pervade applications including social platforms, e-commerce, and biomedical networks, offering richer semantic signals than single-mo…
  arxiv Xunkai Li, Guohao Fu, Yuming Ai, Zhengyu Wu 等 2026-07-17T06:57:41Z 置信度 0.78 cs.LG
• MedPAIR: Measuring Physicians and AI Relevance Alignment in Medical Question Answering
  Large Language Models (LLMs) have demonstrated remarkable performance on various medical question-answering (QA) benchmarks, including standardized medical exams. However, correct answers alone do not ensure correct logic, and models may reach accurate conclus…
  arxiv Yuexing Hao, Kumail Alhamoud, Hyewon Jeong, Haoran Zhang 等 2025-05-29T22:23:48Z 置信度 0.78 cs.CLcs.AI
• RO-SVD: A Reconfigurable Hardware Copyright Protection Framework for AIGC Applications
  The dramatic surge in the utilisation of generative artificial intelligence (GenAI) underscores the need for a secure and efficient mechanism to responsibly manage, use and disseminate multi-dimensional data generated by artificial intelligence (AI). In this p…
  arxiv Zhuoheng Ran, Muhammad A. A. Abdelgawad, Zekai Zhang, Ray C. C. Cheung 等 2024-06-17T13:38:57Z 置信度 0.78 cs.DCcs.CV
• XChoice: Explainable Evaluation of AI-Human Alignment in LLM-based Constrained Choice Decision Making
  We present XChoice, an explainable framework for evaluating AI-human alignment in constrained decision making. Moving beyond outcome agreement such as accuracy and F1 score, XChoice fits a mechanism-based decision model to human data and LLM-generated decision…
  arxiv Weihong Qi, Fan Huang, Rasika Muralidharan, Jisun An 等 2026-01-16T13:35:38Z 置信度 0.78 cs.AI
• Assessing the Ecological Impact of AI
  Philosophers of technology have recently started paying more attention to the environmental impacts of AI, in particular of large language models (LLMs) and generative AI (genAI) applications. Meanwhile, few developers of AI give concrete estimates of the ecol…
  arxiv Sylvia Wenmackers 2025-07-07T11:50:18Z 置信度 0.78 cs.CYcs.AI
• Fine-Tuning Language Models for Ethical Ambiguity: A Comparative Study of Alignment with Human Responses
  Language models often misinterpret human intentions due to their handling of ambiguity, a limitation well-recognized in NLP research. While morally clear scenarios are more discernible to LLMs, greater difficulty is encountered in morally ambiguous contexts. I…
  arxiv Pranav Senthilkumar, Visshwa Balasubramanian, Prisha Jain, Aneesa Maity 等 2024-10-10T11:24:04Z 置信度 0.78 cs.CL
• Neuro-Symbolic Participation Governance for Verifiable AI Agents in Open Digital Twin Ecosystems
  Autonomous AI agents, increasingly empowered by large language models, are becoming important components of human-machine systems for high-stakes decision support in digital twin ecosystems. However, existing multi-agent systems often lack robust verification …
  arxiv Juan Li, Wei Cai, Yan Bai 2026-08-02T02:30:32Z 置信度 0.78 cs.CRcs.AIcs.MA
• Ensemble of ConvNeXt V2 and MaxViT for Long-Tailed CXR Classification with View-Based Aggregation
  In this work, we present our solution for the MICCAI 2024 CXR-LT challenge, achieving 4th place in Subtask 2 and 5th in Subtask 1. We leveraged an ensemble of ConvNeXt V2 and MaxViT models, pretrained on an external chest X-ray dataset, to address the long-tai…
  arxiv Yosuke Yamagishi, Shouhei Hanaoka 2024-10-14T16:49:14Z 置信度 0.78 cs.CV
• A Perspective on Literary Metaphor in the Context of Generative AI
  At the intersection of creative text generation and literary theory, this study explores the role of literary metaphor and its capacity to generate a range of meanings. In this regard, literary metaphor is vital to the development of any particular language. T…
  arxiv Imke van Heerden, Anil Bas 2024-09-02T08:27:29Z 置信度 0.78 cs.CLcs.AI
• LSVOS Challenge Report: Large-scale Complex and Long Video Object Segmentation
  Despite the promising performance of current video segmentation models on existing benchmarks, these models still struggle with complex scenes. In this paper, we introduce the 6th Large-scale Video Object Segmentation (LSVOS) challenge in conjunction with ECCV…
  arxiv Henghui Ding, Lingyi Hong, Chang Liu, Ning Xu 等 2024-09-09T17:45:45Z 置信度 0.78 cs.CV
• Knowledge Graph in Astronomical Research with Large Language Models: Quantifying Driving Forces in Interdisciplinary Scientific Discovery
  Identifying and predicting the factors that contribute to the success of interdisciplinary research is crucial for advancing scientific discovery. However, there is a lack of methods to quantify the integration of new ideas and technological advancements in as…
  arxiv Zechang Sun, Yuan-Sen Ting, Yaobo Liang, Nan Duan 等 2024-06-03T14:55:57Z 置信度 0.78 astro-ph.IMcs.DL
• One vs. Many: Comprehending Accurate Information from Multiple Erroneous and Inconsistent AI Generations
  As Large Language Models (LLMs) are nondeterministic, the same input can generate different outputs, some of which may be incorrect or hallucinated. If run again, the LLM may correct itself and produce the correct answer. Unfortunately, most LLM-powered system…
  arxiv Yoonjoo Lee, Kihoon Son, Tae Soo Kim, Jisu Kim 等 2024-05-09T07:12:45Z 置信度 0.78 cs.HCcs.AIcs.CL
• Teaching-Assistant-in-the-Loop: Improving Knowledge Distillation from Imperfect Teacher Models in Low-Budget Scenarios
  There is increasing interest in distilling task-specific knowledge from large language models (LLM) to smaller student models. Nonetheless, LLM distillation presents a dual challenge: 1) there is a high cost associated with querying the teacher LLM, such as GP…
  arxiv Yuhang Zhou, Wei Ai 2024-06-08T02:17:43Z 置信度 0.78 cs.CLcs.AI
• KTO: Model Alignment as Prospect Theoretic Optimization
  Kahneman & Tversky's $\textit{prospect theory}$ tells us that humans perceive random variables in a biased but well-defined manner (1992); for example, humans are famously loss-averse. We show that objectives for aligning LLMs with human feedback implicitl…
  arxiv Kawin Ethayarajh, Winnie Xu, Niklas Muennighoff, Dan Jurafsky 等 2024-02-02T10:53:36Z 置信度 0.78 cs.LGcs.AI
• FeatDistill: A Feature Distillation Enhanced Multi-Expert Ensemble Framework for Robust AI-generated Image Detection
  The rapid iteration and widespread dissemination of deepfake technology have posed severe challenges to information security, making robust and generalizable detection of AI-generated forged images increasingly important. In this paper, we propose FeatDistill,…
  arxiv Zhilin Tu, Kemou Li, Fengpeng Li, Jianwei Fei 等 2026-03-23T12:55:31Z 置信度 0.78 cs.CVcs.MM
• Dimensions of Generative AI Evaluation Design
  There are few principles or guidelines to ensure evaluations of generative AI (GenAI) models and systems are effective. To help address this gap, we propose a set of general dimensions that capture critical choices involved in GenAI evaluation design. These di…
  arxiv P. Alex Dow, Jennifer Wortman Vaughan, Solon Barocas, Chad Atalla 等 2024-11-19T18:25:30Z 置信度 0.78 cs.CY
• Efficient unsupervised domain adaptation via self-supervised vision transformer and synergistic cross-domain alignment
  Unsupervised domain adaptation (UDA) aims to mitigate domain shift, where the distribution of labeled source data differs from that of unlabeled target data. Despite recent advances, existing methods often rely on fine-tuning large backbone models, which leads…
  arxiv Ali Abedi, Q. M. Jonathan Wu, Ning Zhang, Farhad Pourpanah 2024-07-31T03:29:28Z 置信度 0.78 cs.CVcs.AIcs.LG
• Enhancing Productivity in Database Management Through AI: A Three-Phase Approach for Database
  This paper presents a novel AI-powered framework designed to streamline database management and query optimization for PostgreSQL systems. Structured in three phases: Natural Language to SQL Translation, Query Execution and Analysis, and Insight Generation, th…
  arxiv Kushagra Parashar, Ajay Dev, Aditya Kumar, Darpan Khatri 2025-04-12T17:18:28Z 置信度 0.78 cs.DB
• Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics
  Explainable AI (XAI) is a rapidly growing domain with a myriad of proposed methods as well as metrics aiming to evaluate their efficacy. However, current studies are often of limited scope, examining only a handful of XAI methods and ignoring underlying design…
  arxiv Lukas Klein, Carsten T. Lüth, Udo Schlegel, Till J. Bungert 等 2024-09-25T09:07:46Z 置信度 0.78 cs.CV
• Turbulent solutions of the binormal flow and the 1D cubic Schrödinger equation
  In the last three decades there has been an intense activity on the exploration of turbulent phenomena of dispersive equations, as for instance the growth of Sobolev norms since the work of Bourgain in the 90s. In general the 1D cubic Schrödinger equation has …
  arxiv Valeria Banica, Luis Vega 2024-12-18T16:30:58Z 置信度 0.78 math.APmath-ph
• Multispin Physics of AI Tipping Points and Hallucinations
  Output from generative AI such as ChatGPT, can be repetitive and biased. But more worrying is that this output can mysteriously tip mid-response from good (correct) to bad (misleading or wrong) without the user noticing. In 2024 alone, this reportedly caused $…
  arxiv Neil F. Johnson, Frank Yingjie Huo 2025-08-01T22:24:15Z 置信度 0.78 cs.AInlin.AOphysics.comp-ph
• Bounds on the bubble wall velocity
  Determining the bubble wall velocity in first-order phase transitions is a challenging task, requiring the solution of (coupled) equations of motion for the scalar field and Boltzmann equations for the particles in the plasma. The collision terms appearing in …
  arxiv Wen-Yuan Ai, Benoit Laurent, Jorinde van de Vis 2024-11-20T19:00:00Z 置信度 0.78 hep-phastro-ph.CO
• Style Blind Domain Generalized Semantic Segmentation via Covariance Alignment and Semantic Consistence Contrastive Learning
  Deep learning models for semantic segmentation often experience performance degradation when deployed to unseen target domains unidentified during the training phase. This is mainly due to variations in image texture (\ie style) from different data sources. To…
  arxiv Woo-Jin Ahn, Geun-Yeong Yang, Hyun-Duck Choi, Myo-Taeg Lim 2024-03-10T07:44:41Z 置信度 0.78 cs.CV
• ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback
  Large Multimodal Models (LMMs) excel at comprehending human instructions and demonstrate remarkable results across a broad spectrum of tasks. Reinforcement Learning from Human Feedback (RLHF) and AI Feedback (RLAIF) further refine LLMs by aligning them with sp…
  arxiv Ju-Seung Byun, Jiyun Chun, Jihyung Kil, Andrew Perrault 2024-06-25T07:20:11Z 置信度 0.78 cs.AIcs.CLcs.LG
• AICCA: AI-driven Cloud Classification Atlas
  Clouds play an important role in the Earth's energy budget and their behavior is one of the largest uncertainties in future climate projections. Satellite observations should help in understanding cloud responses, but decades and petabytes of multispectral clo…
  arxiv Takuya Kurihana, Elisabeth Moyer, Ian Foster 2022-09-29T21:01:31Z 置信度 0.78 physics.ao-phcs.CV
• A Collection of Innovations in Medical AI for patient records in 2024
  The field of Artificial Intelligence in healthcare is evolving at an unprecedented pace, driven by rapid advancements in machine learning and the recent breakthroughs in large language models. While these innovations hold immense potential to transform clinica…
  arxiv Yuanyun Zhang, Shi Li 2025-02-25T06:24:24Z 置信度 0.78 cs.CYcs.AI
• A Triumvirate of AI Driven Theoretical Discovery
  Recent years have seen the dramatic rise of the usage of AI algorithms in pure mathematics and fundamental sciences such as theoretical physics. This is perhaps counter-intuitive since mathematical sciences require the rigorous definitions, derivations, and pr…
  arxiv Yang-Hui He 2024-05-30T11:57:00Z 置信度 0.78 math.HOcs.AIhep-thphysics.hist-ph