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• [No. 1 Source] AI-102 Exam Dumps (2026)
  crossref Selene Hart 2026-02-19T09:17:57Z 置信度 0.59
• Is there a direct correlation between cervical sagittal alignment and spinopelvic sagittal alignment?: an observational study from asymptomatic Indian adults
  Study Design: Observational study.Purpose: Cervical parameters play a vital role in maintaining global spinal sagittal alignment, but their correlation with spinopelvic parameters remains unclear. This study aimed to investigate potential direct correlations b…
  crossref Juan Esteban Muñoz Montoya, Karthik Ramachandran, Praveen R Iyer, Ajoy Prasad Shetty 等 2025-09-02T05:08:59Z 置信度 0.78 medicinepsychologyinternal medicinephysical medicine and rehabilitationenvironmental science
• Case alignment shapes speech production: Evidence from simultaneous Basque-Spanish bilinguals
  Verbs with a greater number of arguments (transitives vs. intransitives) or non-canonical argument mapping (unaccusatives vs. unergatives) incur greater processing costs (Thompson & Meltzer-Asscher, 2014). Basque—an ergative-absolutive language—assigns…
  crossref Pavlina Heinzova, Manuel Carreiras, Simona Mancini 2026-05-27T17:47:31Z 置信度 0.82 psychologysocial and behavioral sciencesconsciousnesscs.aiai safety
• Cross-Dataset Threshold Transfer in Face Verification: Effects of Supervision, Alignment, and Augmentation
  Face-verification methods are often compared using accuracy on standard benchmarks, with decision thresholds estimated by cross-validation on other partitions of the same benchmark. Prior work has shown that a fixed threshold may not preserve its operating poi…
  crossref Ioana Dumitrache, Alexandru Frunză 2026-08-15T23:47:44Z 置信度 0.82 artificial intelligencecomputer and information sciencescs.aics.lgelectrical engineering, electronic engineering, information engineering
• Geopolitical Fault Lines: Alignment, Volatility, and Cross-Border Collaborations
  In the context of increasing geopolitical hostilities and ideological conflicts, we investigate the effect of geopolitical alignment -- similarity of national interests between countries in global affairs -- on firms’ strategic repositioning of innovation ties…
  crossref Gilbert Kofi Adarkwah, Margaret Fong 2026-07-18T00:28:36Z 置信度 0.82 social and behavioral sciencesbusinessai governancepsychologycontext
• Case Studies
  crossref 2025-12-05T21:31:59Z 置信度 0.59
• Leveraging AI for Smart Manufacturing in SMEs
  This Productivity Insights publication outlines four practical AI strategies specifically crafted for small and medium-sized manufacturing enterprises: (1) predictive maintenance and AI-based visual inspection for quality control, (2) integration through digit…
  crossref Huiyi Fan 2026-07-09T01:45:32Z 置信度 0.82 engineeringindustry 4.0computer sciencemanufacturing engineeringinteroperability
• Halucinované citace: když si AI vymýšlí zdroje
  crossref Marta Zizienová 2026-03-25T11:33:51Z 置信度 0.59
• Digital Photography After AI
  crossref 2026-07-06T15:53:18Z 置信度 0.59
• AIIoT 2026 Cover Page
  crossref 2026-06-22T19:53:10Z 置信度 0.59
• SeMoBridge: A Semantic Modality Bridge for Intra-Modal Alignment in CLIP
  While Contrastive Language-Image Pretraining (CLIP) excels at zero-shot tasks by aligning image and text embeddings, its performance in few-shot classification is hindered by a critical limitation: intra-modal misalignment. This issue, caused by a persistent m…
  crossref Christoph Timmermann, Hyunse Lee, Woojin Lee 2026-05-26T13:54:55Z 置信度 0.82 computer and information sciencescs.aics.lgcs.cvcs.cl
• Mechanistic Interpretability for Large Language Model Alignment: Progress, Challenges, and Future Directions
  Large language models (LLMs) have achieved remarkable capabilities across diverse tasks, yet their internal decision-making processes remain largely opaque. Mechanistic interpretability—the systematic study of how neural networks implement algorithms through t…
  crossref Usman Naseem 2026-02-04T00:35:27Z 置信度 0.82 computer scienceartificial intelligencecs.aics.lgpsychology
• Disabling Intelligences: An Antidote to Eugenic AI
  crossref Zach Zinn 2026-05-05T20:00:08Z 置信度 0.59
• 2026 AARP AI and Health Survey: Annotated Questionnaire
  crossref Brittne Kakulla 2026-06-10T18:22:38Z 置信度 0.59
• The Data and AI Roadmap
  crossref Rahat Yasir, Kasam Shaikh 2026-05-03T22:21:47Z 置信度 0.59
• How AI Is Transforming the Global Media Industries: The Convergence of AI and the Media Industries
  crossref Zvezdan Vukanović 2026-08-28T16:07:13Z 置信度 0.59
• AI-First Critique Learning (AFCL): A Framework for Restoring Assessment Integrity in the Age of Generative AI
  The pervasive adoption of generative artificial intelligence by students has precipitated a widespread challenge to traditional assessment validity in higher education. This article introduces the AI-First Critique Learning (AFCL) framework as a conceptual fra…
  crossref Nabeel Alzahrani 2026-03-03T01:08:13Z 置信度 0.82 psychologycomputer sciencemathematics educationgenerative grammarcs.ai
• The relational–epistemic stance: generative AI as a dynamic transitional object
  Abstract Generative AI interaction produces divergent outcomes: genuine intellectual growth for some, convincing performance of competence for others. Multiple philosophical traditions—post-phenomenology, extended mind theory, and distributed cognition—have in…
  crossref Roi Ezra, Moshe Mishali 2026-03-19T06:38:27Z 置信度 0.73 ai governanceai safetymulti-agent systemsconsciousnessembodied cognition
• Review for "Macrogenetic alignment in ecological strategies better interprets assembly processes than pre-determined functional groupings"
  crossref 2026-06-08T08:16:21Z 置信度 0.63
• AI Honesty: Why It Should Become an Independent Field in AI Ethics
  Over the past decade, AI ethics has become one of the most important branches of interdisciplinary research in philosophy, computer science, and technology policy (Floridi et al. 2018; Jobin, Ienca, and Vayena 2019; UNESCO 2021). Research in this field has pri…
  crossref Majid Tavakolian 2026-07-09T09:53:53Z 置信度 0.82 psychologycomputer sciencecognitive scienceartificial intelligenceengineering ethics
• Toward an Indian Sovereign AI Strategy: Lessons from China's Coordinated AI Ecosystem
  Artificial intelligence has emerged as foundational national infrastructure, reshaping economic competitiveness, industrial transformation, public administration, and national security simultaneously. Among major economies, China has constructed one of the wor…
  crossref Joy Bose 2026-07-20T10:56:36Z 置信度 0.82 businessengineeringsociologycorporate governancecontext
• Reframing EU, US, and China’s perspectives on AI copyright through actor–network theory and the base–superstructure framework
  crossref Mohammad Mohi Uddin 2026-02-16T12:18:44Z 置信度 0.63
• AI for humanity: overcoming ethical and technical barriers in humanitarian aid
  crossref Catherine Dupe Omidiji, Emeka Ogbuju, Jimba Joshua, Ali Muhammed Monday 2026-05-20T11:59:01Z 置信度 0.59
• Introduction to Human-Centric Generative AI
  crossref Tanmoy Hazra, Kushal Anjaria, Rahul Dixit, Nitesh Funde 2026-05-24T23:13:27Z 置信度 0.59
• <scp>AI</scp> in Collaborative Writing
  The rapid advancement of artificial intelligence (AI) has significantly transformed the role of collaborative writing assistance, evolving AI from a passive support tool into an active agent capable of performing content generation, coherence enhancement, and …
  crossref Nina Jiang, Vincent G. Duffy 2026-03-27T22:51:54Z 置信度 0.82 knowledge managementcomputer sciencetransformative learninggenerative grammarbusiness
• Data Engineering with Generative and Agentic AI on AWS
  crossref Justin J. Leto 2026-05-12T15:14:57Z 置信度 0.59
• AI and blockchain supported Internet-of-vehicles for net-zero
  crossref Ferheen Ayaz, Maziar Nekovee 2026-07-24T08:25:25Z 置信度 0.59
• Introduction to Machine Learning Concepts
  In modern AI, machine learning has become a core driver of innovation, enabling computers to learn from data, spot patterns, and make decisions without explicit programming. This chapter analyzes the essentials of machine learning, starting with its definition…
  crossref 2026-05-29T21:20:42Z 置信度 0.82 artificial intelligencecs.lgmachine learningcomputer sciencecs.ai
• AI-Enabled Trustworthiness in Edge Zero Trust Architectures
  Edge computing platforms are extensively incorporating the power of AI (Artificial Intelligence). AI is being leveraged to support applications that have latency, autonomy and reliability requirements. But the distributed and heterogeneous nature of these edge…
  crossref Vibha Negi, Pramod Negi 2026-05-05T20:00:49Z 置信度 0.78 computer sciencecloud computingedge computingcomputer securitycs.dc
• Navigating Generative AI: The Writing Workshop: An Antidote to AI Shortcuts
  This column examines how the writing workshop model can counter AI shortcuts by shifting educators from stances of fear and detection to one of intentional design, protecting student voice and inviting generative AI only as a rubric-aligned thought partner tha…
  crossref Kristina Peterson 2026-04-20T15:31:38Z 置信度 0.71 generative grammarai governanceembodied cognitionpsychologycs.cy
• Mindset Shift—From Employee to AI-Enabled Founder
  crossref 2026-08-06T01:20:06Z 置信度 0.59
• Navigating the AI Frontier in Public Administration: Generative AI, Agentic AI, and the Governance Imperative for Local Government
  The integration of artificial intelligence into government operations is no longer a distant policy question, it is an immediate operational reality. Driven by massive industry investment and the commercial imperative to generate returns, technology vendors ha…
  crossref Alfredo Prieto Pe 2026-08-05T10:31:28Z 置信度 0.82 businesscorporate governanceai governanceknowledge managementsociology
• The Future of AI Governance
  As artificial intelligence (AI) systems become increasingly autonomous, governance will face steep challenges in ensuring transparency, ethical alignment, and accountability at scale. Fragmented regulatory environments, opaque model behaviors, and evolving thr…
  crossref Ariel Evans, Ajay Singh 2026-07-13T14:11:32Z 置信度 0.82 corporate governancetransparencyknowledge managementcomputer scienceengineering ethics
• On-premise AI agents: a future foundation for education, academia, and industry
  The rapid advancement of artificial intelligence (AI) has fundamentally transformed digital workflows, and the emergence of AI agents is revolutionizing how we learn, conduct research, and drive productivity. However, reliance on cloud-based AI infrastructure …
  crossref Hang Yin 2026-04-27T01:14:05Z 置信度 0.82 businessdata sciencehealth careknowledge managementtransformative learning
• The AI Politician
  …AI is already starting to infiltrate, influence and impact all the activities of democracy, political campaigning, legislation, government administration, arbitration, advocacy, conducting elections, and more…Taken together they constitute a new future for de…
  crossref Branka Panic 2026-07-27T20:52:37Z 置信度 0.71 geographyhabitabilitypopulationtraditional medicineastro-ph.ep
• AI Showrunner – Managing Gameplay Experience with a Hierarchical Network of AI Directors
  The artificial intelligence (AI) Director design paradigm for tailoring player gameplay experience has been successfully applied in several commercial video games to date. Most of them used a single director with a limited control scope, whose deployment was s…
  crossref Dominik Gotojuch 2026-03-04T18:49:11Z 置信度 0.82 computer scienceartificial intelligencecontextrobotquality
• Large Language Models and Agentic AI: How Modern AI Systems Are Evolving Into Autonomous Agents
  Large Language Models (LLMs) have undergone a dramatic transformation from static text-completion engines to dynamic, tool-wielding autonomous agents capable of planning, reasoning, and executing multi-step tasks in real-world environments. This paper provides…
  crossref Deepti Sharan, Nehuti 2026-06-03T09:24:21Z 置信度 0.82 cs.aicomputer scienceartificial intelligencecs.lgcomputer and information sciences
• Defending the epistemic uniqueness thesis: the collapse of the standard instrumentalist model of responsibility (SIMR) in AI-mediated acts
  crossref Andreea Prichea 2026-02-25T12:53:45Z 置信度 0.59
• Explainable AI in Medical Imaging and Diagnosis: A Critical Review of Methods, Clinical Translation Barriers, and an Integrated Evaluation Framework
  Deep learning now matches or outperforms specialist clinicians on many medical imaging benchmarks, but clinical uptake has lagged well behind the benchmark numbers. Opacity is usually blamed. Explainable artificial intelligence (XAI) is the field’s proposed fi…
  crossref Ali Alhazmi 2026-08-21T10:42:30Z 置信度 0.82 artificial intelligencemedicinepsychologycs.aicomputer science
• The Business of AI
  crossref 2026-05-13T20:24:56Z 置信度 0.59
• Key AI Regulations and Frameworks
  As artificial intelligence (AI) becomes central to digital innovation, governments and industry bodies worldwide are developing regulatory frameworks and governance models to guide its responsible development and deployment. These regulations aim to address gr…
  crossref Ariel Evans, Ajay Singh 2026-07-13T14:11:32Z 置信度 0.82 businesscorporate governanceengineering ethicstransparencyknowledge management
• Navigating the ethical landscape of AI-driven decision-making in healthcare: challenges and opportunities
  crossref Virendra Kumar Tiwari, Sanjay Bajpai, Jitendra Agrawal 2026-03-25T02:02:29Z 置信度 0.59
• Meeting Summarization via Semantic-based Segmentation using Self-alignment Embedding
  NLP에서 긴 문서를 처리하기 위해 일반적으로 사용되는 static segmentation 방식은 고정된 크기로 텍스트를 분할하기 때문에, 의미적 경계를 고려하지 않아 주제 단절이나 문맥 손실이 발생할 수 있다.또한, 다화자 회의 환경에서는 특정 화자의 발언이 요약 과정에서 누락되거나 과소 반영되는 문제가 발생할 수 있다. 본 논문에서는 텍스트의 semantic shift를 자동으로 탐지하여 의미 중심으로 세그먼트를 분할하는 self-alignment embed…
  crossref Dongwon Noh, Hyeonjeong Lee, Donghyeok Koh, Jinyeong Bak 等 2026-08-25T02:09:56Z 置信度 0.78 ai governancequantum physicsneuromorphic computingcomputer vision and pattern recognitionlarge language models
• AI-Tainted and AI-Generated Evidence in the German Criminal Process
  crossref Dominik Brodowski 2026-02-04T11:41:54Z 置信度 0.59
• Using AI to reduce distortive factors in Inquiry Dialogues
  Abstract Inquiry Dialogues aim at warranted judgment rather than merely the expression of personal opinion. This aspiration makes them vulnerable to distortive processes that undermine the quality of the judgments they produce. In this discussion, I identify f…
  crossref Aaron Yarmel 2026-06-05T17:27:41Z 置信度 0.78 psychologysocial and behavioral sciencesbiologycognitive psychologymulti-agent systems
• Utility AI and Emergent Gameplay
  In the evolving landscape of game development, creating engaging player experiences is key. This chapter delves into the transformative potential of Utility AI as a foundation for building adaptive systems that drive emergent gameplay. The chapter introduces t…
  crossref Vicky Bloom 2026-03-04T18:49:11Z 置信度 0.73 transformative learningcomputer scienceknowledge managementcs.airesource
• AI pragmatists: How language teachers are navigating AI with nuance
  crossref Martine Rhéaume 2026-04-06T20:30:09Z 置信度 0.63
• Character Utility Behaviour Graph
  crossref David Wooldridge 2026-07-09T20:46:49Z 置信度 0.59
• The Gen AI Workforce Shift: Mapping Generative AI Exposure Across HR Occupations
  Generative Artificial Intelligence (Gen AI) is rapidly transforming the modern workplace, yet its specific impact on Human Resources functions remains underexplored. This study applies a skills-based analytical framework to assess the Gen AI task exposure of 8…
  crossref Arti Sharma 2026-04-27T17:26:39Z 置信度 0.78 psychologycs.aigenerative grammarsociologycs.cl
• Relational AI: Design Principles and Architecture for AI That Emerges Through Relationship
  A 2026 study from King's College London demonstrated that three frontier AI models-placed in simulated nuclear crisis scenarios-chose nuclear signaling in 95% of cases and never once selected deescalation across 21 games. The models reasoned with sophisticatio…
  crossref Akihiko Morita 2026-07-29T13:20:32Z 置信度 0.78 artificial intelligencecs.aiai safetyai governancelarge language models
• Semantic Alignment Incomplete Multi-Modal Hashing
  Multi-modal hashing encodes heterogeneous multi-view data into compact binary codes and has become a core technique in multimedia retrieval. Conventional methods typically assume fully paired modalities, while existing approaches for incomplete data often rely…
  crossref Qiwen Yang, Hui Zhang, Qiyang Zhao, Kangchun Lin 2026-04-21T21:23:31Z 置信度 0.82 computer and information sciencescs.lgcs.aics.cvelectrical engineering, electronic engineering, information engineering
• Introduction to special issue on FAIR Principles and Machine Learning, AI Readiness and AI Reproducibility
  The authors declare no conflicts of interest.
  crossref Lynne Schreiber, Daniel S. Katz, Yuhan Rao, Christine R. Kirkpatrick 2026-05-25T13:35:16Z 置信度 0.68
• From Actor-to-Actor to AI-to-AI: A Multi-layer Breakdown of Human-grounded Interaction under AI Mediation
  Traditional interaction models in marketing, economics, and information systems are built upon the assumption that observable behavior reliably reflects human cognition and intention. This paper argues that this assumption is increasingly invalid as artificial…
  crossref Shen Xu 2026-04-20T16:39:47Z 置信度 0.78 psychologycs.aicognitive scienceknowledge managementcognition
• Emerging Solutions for Trustworthy AI
  As artificial intelligence becomes increasingly embedded in our digital lives, from personalized recommendations and predictive analytics to autonomous systems and real-time surveillance, new concerns are rapidly surfacing. These concerns span ethical, legal, …
  crossref Ariel Evans, Ajay Singh 2026-07-13T14:11:32Z 置信度 0.82 engineering ethicsknowledge managementcomputer sciencetransparencytransformative learning
• Cyber Risks Posed by AI
  While Artificial Intelligence (AI) has emerged as a powerful force multiplier for cybersecurity defense, it simultaneously introduces novel threats and attack surfaces. This chapter explores the dark side of AI: how malicious actors leverage AI to enhance the …
  crossref Ariel Evans, Ajay Singh 2026-07-13T14:11:32Z 置信度 0.82 computer sciencecs.aibusinessartificial intelligencetransparency
• Key Aspects of AI Governance
  The ongoing artificial intelligence (AI) revolution is reshaping industries, geopolitics, and daily life at a scale comparable to the industrial revolution—but unfolding exponentially faster. AI now underpins decision-making in every domain, from finance and h…
  crossref Ariel Evans, Ajay Singh 2026-07-13T14:11:32Z 置信度 0.82 businessknowledge managementcorporate governancetransparencyengineering ethics
• Where Concept Erasure Should Occur: Concept-Layer Alignment in Text-to-Video Diffusion Models
  Text-to-video diffusion transformers encode semantic information unevenly across model depth, which constrains effective concept erasure. We identify a representational bottleneck, termed concept-layer topological alignment, under which target concepts exhibit…
  crossref Yiwei Xie, Ping Liu, Zheng Zhang 2026-05-25T15:20:04Z 置信度 0.83 cs.CV
• CO-EVO: Co-evolving Semantic Anchoring and Style Diversification for Federated DG-ReID
  Federated domain generalization for person re-identification (FedDG-ReID) aims to collaboratively train a pedestrian retrieval model across multiple decentralized source domains such that it can generalize to unseen target environments without compromising raw…
  crossref Fengchun Zhang, Qiang Ma, Liuyu Xiang, Jinshan Lai 等 2026-04-29T07:18:37Z 置信度 0.83 cs.CVcs.LG
• DRIFT: Drift-Resilient Invariant-Feature Transformer for DGA Detection
  Domain Generation Algorithms (DGAs) evolve continuously to evade botnet detection, posing a persistent challenge for dependable network defense. While deep learning-based detectors achieve strong performance under static conditions, they suffer severe degradat…
  crossref Chaeyoung Lee, Chaeri Jung, Seonghoon Jeong 2026-05-11T12:08:41Z 置信度 0.85 cs.CRcs.LGcs.NI
• Task-guided cross-subject latent alignment: a multi-encoder-decoder VAE
  Aligning neural activity across subjects offers the promise of discovering shared computational principles and generalizable decoders. However, traditional alignment methods require shared stimuli across subjects, a constraint that limits applicability to natu…
  crossref Angeliki Papathanasiou, Jascha Achterberg, Thomas E. Nichols, Rui Ponte Costa 2026-06-14T19:30:11Z 置信度 0.83 q-bio.NCcs.AI
• When Composition Doesn't Add Up: Humans Identifying Defects in AI-Generated Images
  *Chulin Zhao and Ruoqi Hu contributed equally to this work. State-of-the-art text-to-image (T2I) models exhibit pronounced and systematic defects when prompts involve intricate compositional factors such as multiple entities and multiple attributes. In this pa…
  arxiv Ruoqi Hu, Chulin Zhao, Jiashuo Chang, Ramon Ruiz-Dolz 等 2026-08-26T15:47:47Z 置信度 0.83 cs.CVcs.AI
• Dynamic Visual-semantic Alignment for Zero-shot Learning with Ambiguous Labels
  Zero-shot learning (ZSL) aims to recognize unseen classes without visual instances. However, existing methods usually assume clean labels, overlooking real-world label noise and ambiguity, which degrades performance. To bridge this gap, we propose the Dynamic …
  crossref Jiangnan Li, Linqing Huang, Xiaowen Yan, Min Gan 等 2026-04-20T01:48:11Z 置信度 0.83 cs.CV
• HSUGA: LLM-Enhanced Recommendation with Hierarchical Semantic Understanding and Group-Aware Alignment
  Large language model (LLM)-enhanced sequential recommendation typically aims to improve two core components: user semantic embedding extraction and utilization. Despite promising results, existing methods still have two limitations: 1) In the extraction stage,…
  arxiv Guorui Li, Dugang Liu, Lei Li, Xing Tang 等 2026-05-12T07:22:42Z 置信度 0.83 cs.IR
• MyGram: Modality-aware Graph Transformer with Global Distribution for Multi-modal Entity Alignment
  Multi-modal entity alignment aims to identify equivalent entities between two multi-modal Knowledge graphs by integrating multi-modal data, such as images and text, to enrich the semantic representations of entities. However, existing methods may overlook the …
  crossref Zhifei Li, Ziyue Qin, Xiangyu Luo, Xiaoju Hou 等 2026-01-17T02:51:42Z 置信度 0.83 cs.AI
• GLP: A Grassroots, Multiagent, Concurrent, Logic Programming Language for AI
  A grassroots platform is a multiagent distributed system in which multiple independent instances can form and operate independently of each other and of any global resource, yet may coalesce into ever larger instances, possibly resulting in a single global ins…
  crossref Ehud Shapiro 2026-07-23T11:16:12Z 置信度 0.81 cs.PLcs.DCcs.LOcs.MA
• APEX: Adaptive Principle EXtraction A Three-Layer Self-Evolution Framework for Production AI Agents
  Self-improvement in AI agents has emerged as a key research frontier: systems that modify their own prompts, workflows, and decision rules based on accumulated operational experience. The state-of-the-art Self-Harness framework [1] achieves 14--21% improvement…
  arxiv Ya-Chuan Chen, Tien-Jen Lai, Hsiang-Wei Hu 2026-06-13T15:47:27Z 置信度 0.74 cs.AI
• 'I Spend All My Energy Preparing': Balancing AI Automation and Agency for Self-Regulated Learning in SmartFlash
  Effective study strategies fail when preparatory tasks consume learning time. While AI educational tools demonstrate efficacy, understanding how they align with self-regulation needs in authentic study contexts remains limited. We conducted formative design re…
  crossref Hongming Li, Salah Esmaeiligoujar, Nazanin Adham, Hai Li 等 2026-02-16T03:40:08Z 置信度 0.83 cs.HC
• Enhancing Multilingual LLM-based ASR with Mixture of Experts and Dynamic Downsampling
  The rapid progress of large language models (LLMs) has opened up a new frontier for automatic speech recognition (ASR), making their effective integration a critical and challenging research direction. To this end, this work proposes a projector-based LLM-ASR …
  crossref Guodong Lin, Ziqi Chen, Yuxiang Fu, Ke Li 等 2026-06-09T05:35:31Z 置信度 0.85 cs.SDcs.CLeess.AS
• Numerically-Exact Quantum-Simulation Approach for Two-Dimensional Spectroscopy of Open Quantum Systems
  Two-dimensional spectroscopy (2DS) is a powerful ultrafast technique for probing electronic and vibrational dynamics in complex microscopic systems. Extracting detailed information on system dynamics and system-bath interactions from 2DS experiments requires p…
  crossref Yi-Xuan Yao, Hao-Yue Zhang, Cheng-Ge Liu, Rong-Hang Chen 等 2026-04-28T15:16:08Z 置信度 0.74 quant-phphysics.optics
• The Roman Coronagraph Community Participation Program: target database and tools
  The Nancy Grace Roman Space Telescope, set to launch in Fall 2026, will carry the Coronagraph Instrument, which will, for the first time, demonstrate high-contrast imaging with active wavefront control in visible wavelengths from space. In preparation for exec…
  crossref Dmitry Savransky, Rifah Tasnim, Saanika Choudhary, Hovik Grigoryan 等 2026-08-17T21:34:44Z 置信度 0.79 astro-ph.IM
• From Perceptions To Evidence: Detecting AI-Generated Content In Turkish News Media With A Fine-Tuned Bert Classifier
  The rapid integration of large language models into newsroom workflows has raised urgent questions about the prevalence of AI-generated content in online media. While computational studies have begun to quantify this phenomenon in English-language outlets, no …
  arxiv Ozancan Ozdemir 2026-02-13T22:29:00Z 置信度 0.83 cs.CLcs.AI
• Incentives and Market Structure in Intent-Based Exchanges: Evidence from a Solver-Reward Reform
  Intent-based decentralized exchanges delegate execution to a competitive class of agents -- solvers -- whose behavior is shaped by protocol-designed reward rules. We measure how a change to those rules reshapes who captures value, using a governance-dated natu…
  arxiv Ruiyang Zhang 2026-07-24T04:04:15Z 置信度 0.83 cs.CR
• More Isn't Always Better: Balancing Decision Accuracy and Conformity Pressures in Multi-AI Advice
  Just as people improve decision-making by consulting diverse human advisors, they can now also consult with multiple AI systems. Prior work on group decision-making shows that advice aggregation creates pressure to conform, leading to overreliance. However, th…
  crossref Yuta Tsuchiya, Yukino Baba 2026-03-23T16:17:05Z 置信度 0.79 cs.HCcs.AI
• AI's Capability in Assisting Scientific Research in Physics, Astrophysics, and Cosmology I: Literature Review
  We investigate how well large language models (LLMs) can assist with literature reviews for scientific research. We perform a controlled study of eight expert-conceived research projects across the areas of physics, astrophysics, and cosmology. Each project ha…
  arxiv Anamaria Hell, Kateryna Vovk, Veena Krishnaraj, Jia Liu 等 2026-07-28T12:51:35Z 置信度 0.85 astro-ph.IMastro-ph.COcs.CLgr-qc
• Attention-weighted Centered Kernel Alignment for Knowledge Distillation in Large Audio-Language Models Applied to Speech Emotion Recognition
  The emergence of Large Audio-Language Models (LALMs) has advanced Speech Emotion Recognition (SER), but their size limits deployment in resource-constrained environments. While Knowledge Distillation is effective for LALM compression, existing methods remain u…
  crossref Qingran Yang, Botao Zhao, Zuheng Kang, Xue Li 等 2026-02-02T02:26:22Z 置信度 0.83 cs.SDeess.AS
• Bridging Legal Interpretation and Formal Logic: Faithfulness, Assumption, and the Future of AI Legal Reasoning
  The growing adoption of large language models in legal practice brings both significant promise and serious risk. Legal professionals stand to benefit from AI that can reason over contracts, draft documents, and analyze sources at scale, yet the high-stakes na…
  arxiv Olivia Peiyu Wang, Leilani H. Gilpin 2026-05-13T19:11:09Z 置信度 0.85 cs.AIcs.CLcs.CY
• CuMA: Aligning LLMs with Sparse Cultural Values via Demographic-Aware Mixture of Adapters
  As Large Language Models (LLMs) serve a global audience, alignment must transition from enforcing universal consensus to respecting cultural pluralism. We demonstrate that dense models, when forced to fit conflicting value distributions, suffer from \textbf{Me…
  crossref Ao Sun, Xiaoyu Wang, Zhe Tan, Yu Li 等 2026-01-08T12:30:43Z 置信度 0.85 cs.CLcs.AIcs.LG
• Bi-MCQ: Reformulating Vision-Language Alignment for Negation Understanding
  Recent vision-language models (VLMs) achieve strong zero-shot performance via large-scale image-text pretraining and have been widely adopted in medical image analysis. However, existing VLMs remain notably weak at understanding negated clinical statements, la…
  crossref Tae Hun Kim, Hyun Gyu Lee 2026-01-30T08:14:45Z 置信度 0.83 cs.CVcs.LG
• SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation
  Self-supervised depth estimation from monocular sequences relies on the joint learning of a depth and a pose network. Despite abundant research done to improve the depth network, efforts on the pose remain limited. In this context, even when depth is estimated…
  crossref Changxuan Li, Nadine Berner, Nassir Navab, Federico Tombari 等 2026-05-27T13:38:25Z 置信度 0.83 cs.CV
• PhaSR: Generalized Image Shadow Removal with Physically Aligned Priors
  Shadow removal under diverse lighting conditions requires disentangling illumination from intrinsic reflectance, a challenge compounded when physical priors are not properly aligned. We propose PhaSR (Physically Aligned Shadow Removal), addressing this through…
  arxiv Chia-Ming Lee, Yu-Fan Lin, Yu-Jou Hsiao, Jin-Hui Jiang 等 2026-01-24T14:15:41Z 置信度 0.79 cs.CV
• Lottery and Sprint Arcade: Enabling Player-Driven Game Editing with Generative AI
  Large language models (LLMs) are shifting game generation from offline automation toward play-driven modification through natural language interaction. In this work, we present a play-driven game editing system that enables players to modify a retro Space Inva…
  crossref Maya Grace Torii, Takahito Murakami, Yoichi Ochiai 2026-07-12T11:05:19Z 置信度 0.83 cs.HC
• MC-Search: Evaluating and Enhancing Multimodal Agentic Search with Structured Long Reasoning Chains
  With the increasing demand for step-wise, cross-modal, and knowledge-grounded reasoning, multimodal large language models (MLLMs) are evolving beyond the traditional fixed retrieve-then-generate paradigm toward more sophisticated agentic multimodal retrieval-a…
  arxiv Xuying Ning, Dongqi Fu, Tianxin Wei, Mengting Ai 等 2026-03-01T02:25:57Z 置信度 0.83 cs.AI
• Sustained Gradient Alignment Mediates Subliminal Learning in a Multi-Step Setting: Evidence from MNIST Auxiliary Logit Distillation Experiment
  In the MNIST auxiliary logit distillation experiment, a student can acquire an unintended teacher trait despite distilling only on no-class logits through a phenomenon called subliminal learning. Under a single-step gradient descent assumption, subliminal lear…
  arxiv Chayanon Kitkana, Shivam Arora 2026-04-28T15:46:18Z 置信度 0.83 cs.LGcs.AI
• Normativity and Productivism: Ableist Intelligence? A Degrowth Analysis of AI Sign Language Translation Tools for Deaf People
  Sign languages, of any geographical or accentual variation, understandably face continuous scrutiny under the ever present popularity of verbal dictation and audism. Through this, many potential problems arise with the current lack of accessible communication …
  arxiv Nina Seron-Abouelfadil, Poppy Fynes 2026-04-30T17:14:08Z 置信度 0.85 cs.AIcs.CYcs.HC
• Stuck on Suggestions: Automation Bias, the Anchoring Effect, and the Factors That Shape Them in Computational Pathology
  Artificial intelligence (AI)-driven decision support systems can improve diagnostic accuracy and efficiency in computational pathology. However, collaboration between human experts and AI may introduce cognitive biases such as automation and anchoring bias, wh…
  crossref Emely Rosbach, Jonas Ammeling, Jonathan Ganz, Christof Albert Bertram 等 2026-03-12T11:30:54Z 置信度 0.83 cs.HC
• Mojo: A Promising Tool for Scalable Financial AI Efficiency
  For thirty years, quantitative finance has paid a costly two-language tax: models researched in Python are rewritten in C++ for production, often introducing numerical discrepancies. GPU-accelerated deep learning exacerbates this problem, as nondeterministic f…
  arxiv Henry Han 2026-06-14T23:18:58Z 置信度 0.83 cs.LGcs.AI
• Designing Human-mediated AI Guidance: Ready Together for Personalized Family Emergency Preparedness
  Artificial intelligence (AI) systems are increasingly used across domains to provide personalized information, recommendations, and decision support. However, in some contexts, AI-generated information may not be suitable for direct delivery to the final recip…
  arxiv Nini Kurashvili, Yana Ivanchenko, Greta Schiavo, Cansu Koyuturk 等 2026-08-20T12:17:24Z 置信度 0.85 cs.HCcs.AIcs.CY
• Linear Systems and Eigenvalue Problems: Open Questions from a Simons Workshop
  This document presents a series of open questions arising in matrix computations, i.e., the numerical solution of linear algebra problems. It is a result of working groups at the workshop Linear Systems and Eigenvalue Problems, which was organized at the Simon…
  arxiv Noah Amsel, Yves Baumann, Paul Beckman, Peter Bürgisser 等 2026-02-05T07:20:20Z 置信度 0.83 math.NAcs.DS
• ThaiSafetyBench: Assessing Language Model Safety in Thai Cultural Contexts
  The safety evaluation of large language models (LLMs) remains largely centered on English, leaving non-English languages and culturally grounded risks underexplored. In this work, we investigate LLM safety in the context of the Thai language and culture and in…
  arxiv Trapoom Ukarapol, Nut Chukamphaeng, Kunat Pipatanakul, Pakhapoom Sarapat 2026-03-05T09:35:50Z 置信度 0.83 cs.CL
• Ontological Knowledge Blocks: Executable Compliance and Profile-Based Validation for Trustworthy AI Systems
  AI-enabled services deployed in critical digital infrastructure are subject to governance obligations spanning transparency, accountability, fairness, and traceability. Compliance today remains documentation-centric: obligations are described in prose, audits …
  crossref Aasish Kumar Sharma, Julian M. Kunkel 2026-05-22T07:14:31Z 置信度 0.83 cs.AIcs.DC
• Task-Adaptive 3D Cross-Field MRI Translation via Field-Conditioned Content-Style Pretraining
  Magnetic field strength is a major source of domain shift in magnetic resonance imaging (MRI), affecting signal-to-noise ratio, tissue contrast, spatial detail, and the visibility of anatomical boundaries. The MRIxFields 2026 challenge investigates this proble…
  arxiv Haowen Pang, Yingqi Hao, Pengli Zhu 2026-08-10T08:18:49Z 置信度 0.83 cs.CV
• PII Shield: A Browser-Level Overlay for User-Controlled Personal Identifiable Information (PII) Management in AI Interactions
  AI chatbots have quietly become the world's most popular therapists, coaches, and confidants. Users of cloud-based LLM services are increasingly shifting from simple queries like idea generation and poem writing, to deeply personal interactions. As Large Langu…
  arxiv Max Holschneider, Saetbyeol LeeYouk 2026-03-26T00:20:58Z 置信度 0.83 cs.HC
• Token-level Collaborative Alignment for LLM-based Generative Recommendation
  Large Language Models (LLMs) have demonstrated strong potential for generative recommendation by leveraging rich semantic knowledge. However, existing LLM-based recommender systems struggle to effectively incorporate collaborative filtering (CF) signals, due t…
  crossref Fake Lin, Binbin Hu, Zhi Zheng, Xi Zhu 等 2026-01-26T13:05:02Z 置信度 0.83 cs.IR
• Position: AI Must Become Planet-Centered, Not Just Human-Centered
  This position paper argues that contemporary AI paradigms are insufficient for supporting complex global goals and introduces Planet-Centered AI (PCAI) as a design philosophy and research agenda that reorients AI toward planetary-scale socio-ecological systems…
  arxiv Maria Perez-Ortiz 2026-06-09T13:59:15Z 置信度 0.85 cs.CYcs.AIcs.LG
• MetaRAG: Belief-Action Aligned Policy Optimization for Agentic RAG
  Agentic retrieval-augmented generation (RAG) requires language models to decide when to continue searching and when to answer. Existing RL-based methods rely on external supervision and overlook the agent's internal belief about whether the current evidence is…
  arxiv Qiuyi Qi, Tian Liang, Jiamu Wang, Jinjian Zhang 等 2026-08-25T08:20:29Z 置信度 0.83 cs.AI
• (Over)Reliance on Test Agents in AI-Assisted Software Testing
  AI-based test agents promise to accelerate software testing by shortening feedback loops in continuous development and improving scalability and maintainability. To realize these benefits, engineers must still be able to assess if agent outputs are useful, val…
  crossref Eduard Paul Enoiu 2026-07-20T13:23:49Z 置信度 0.83 cs.SE
• Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Models
  Advancements in Natural Language Processing (NLP), have led to the emergence of Large Language Models (LLMs) such as GPT, Llama, Claude, and Gemini, which excel across a range of tasks but require extensive fine-tuning to align their outputs with human expecta…
  arxiv Angela Lopez-Cardona, Carlos Segura, Alexandros Karatzoglou, Sergi Abadal 等 2024-10-02T13:24:56Z 置信度 0.85 cs.CLcs.AIcs.CVcs.HC
• What Do People Actually Want From AI? Mapping Preference Plurality
  Large Language Models (LLMs) are often fine-tuned through Reinforcement Learning from Human Feedback (RLHF) to align with people's preferences and values. However, this method has known limitations: it aggregates conflicting preferences, often relies on unrepr…
  crossref Julia Sepúlveda Coelho, Scott A. Hale 2026-06-04T19:47:29Z 置信度 0.83 cs.CLcs.CY
• Measuring AI Agents' Progress on Multi-Step Cyber Attack Scenarios
  We evaluate the autonomous cyber-attack capabilities of frontier AI models on two purpose-built cyber ranges-a 32-step corporate network attack and a 7-step industrial control system attack-that require chaining heterogeneous capabilities across extended actio…
  arxiv Linus Folkerts, Will Payne, Simon Inman, Philippos Giavridis 等 2026-03-11T18:30:17Z 置信度 0.83 cs.AIcs.LG
• The Quiet Contributions: Insights into AI-Generated Silent Pull Requests
  We present the first empirical study of AI-generated pull requests that are 'silent,' meaning no comments or discussions accompany them. This absence of any comments or discussions associated with such silent AI pull requests (SPRs) poses a unique challenge in…
  crossref S M Mahedy Hasan, Md Fazle Rabbi, Minhaz Zibran 2026-01-28T22:43:42Z 置信度 0.74 cs.SE