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• InstanceRSR: Real-World Super-Resolution via Instance-Aware Representation Alignment
  Existing real-world super-resolution (RSR) methods based on generative priors have achieved remarkable progress in producing high-quality and globally consistent reconstructions. However, they often struggle to recover fine-grained details of diverse object in…
  crossref Zixin Guo, Kai Zhao, Luyan Zhang 2026-03-25T12:27:58Z 置信度 0.83 cs.CV
• Advancing Complex Video Object Segmentation via Tracking-Enhanced Prompt: The 1st Winner for 5th PVUW MOSE Challenge
  In the Complex Video Object Segmentation task, researchers are required to track and segment specific targets within cluttered environments, which rigorously tests a method's capability for target comprehension and environmental adaptability. Although SAM3, th…
  arxiv Jinrong Zhang, Canyang Wu, Xusheng He, Weili Guan 等 2026-04-01T02:23:23Z 置信度 0.83 cs.CV
• FINER: development of the wideband millimeter-wave receiver system and preparations for first light on the Large Millimeter Telescope
  The recent discovery of an excess of luminous galaxies in the early Universe necessitates sensitive and wideband millimeter spectroscopy to understand their rapid growth. To address this, we present the development of the Far-Infrared Nebular Emission Receiver…
  crossref Akio Taniguchi, Yoichi Tamura, Takeshi Sakai, Masato Hagimoto 等 2026-07-03T12:34:42Z 置信度 0.79 astro-ph.IM
• How Well Does AI-Generated Feedback Work? Intrinsic and Extrinsic Evaluation across more than 20,000 EFL Essay Drafts
  This study examines feedback in English as a Foreign Language (EFL) writing contexts, focusing on written corrective feedback (WCF). Large language models (LLMs) can provide WCF at scale, but aligning them with pedagogical best practices remains an ongoing cha…
  crossref Steven Coyne, Diana Galvan-Sosa, Ryan Spring, Machi Shimmei 等 2026-07-16T05:38:53Z 置信度 0.83 cs.CL
• Edge AI Inference in ISCC Networks: Sensing Accuracy Analysis and Precoding Design
  This work explores the relationship between sensing accuracy and precoding coefficients for edge artificial intelligence (AI) inference in integrated sensing, communication and computation (ISCC) networks. We start by constructing a system model of an over-the…
  crossref Lingyun Xu, Bowen Wang, Huiyong Li, Ziyang Cheng 2026-01-01T02:20:00Z 置信度 0.83 eess.SP
• SGPA: Spectrogram-Guided Phonetic Alignment for Feasible Shapley Value Explanations in Multimodal Large Language Models
  Explaining the behavior of end-to-end audio language models via Shapley value attribution is intractable under native tokenization: a typical utterance yields over $150$ encoder frames, inflating the coalition space by roughly $10^{42}$ relative to text; indiv…
  arxiv Paweł Pozorski, Jakub Muszyński, Maria Ganzha 2026-02-25T17:24:12Z 置信度 0.83 cs.SDeess.AS
• Resume Screening, Fast and Slow: (Biased) AI Recommendations' Influence on Human Decision Making
  AI is increasingly being used collaboratively with people to make decisions in high-stakes domains, but this new paradigm is still not well-understood in many respects -- particularly regarding how AI that replicates human social biases influences people's dec…
  crossref Kyra Wilson, Mattea Sim, Anna-Maria Gueorguieva, Soham Chatterjee 等 2026-06-20T20:22:04Z 置信度 0.79 cs.CY
• THIVLVC: Retrieval Augmented Dependency Parsing for Latin
  We describe THIVLVC, a two-stage system for the EvaLatin 2026 Dependency Parsing task. Given a Latin sentence, we retrieve structurally similar entries from the CIRCSE treebank using sentence length and POS n-gram similarity, then prompt a large language model…
  crossref Luc Pommeret, Thibault Wagret, Jules Deret 2026-04-07T08:05:12Z 置信度 0.79 cs.CL
• Your Space is My Zone: Demystifying the Security Risks of AI-Powered Applications on Pre-Trained Model Hubs
  AI-powered Applications (AI-Apps), hosted on platforms such as Hugging Face, are democratizing access to pre-trained models through online inference and fine-tuning services. While lowering AI adoption barriers, these platforms introduce an unexplored attack s…
  arxiv Yacong Gu, Lingyun Ying, Zidong Zhang, Yingyuan Pu 等 2026-06-29T14:34:43Z 置信度 0.83 cs.CR
• CREATE: Cross-Layer Resilience Characterization and Optimization for Efficient yet Reliable Embodied AI Systems
  Embodied Artificial Intelligence (AI) has recently attracted significant attention as it bridges AI with the physical world. Modern embodied AI systems often combine a Large Language Model (LLM)-based planner for high-level task planning and a reinforcement le…
  arxiv Tong Xie, Yijiahao Qi, Jinqi Wen, Zishen Wan 等 2026-01-20T16:40:09Z 置信度 0.83 cs.AR
• CURA: Clinical Uncertainty Risk Alignment for Language Model-Based Risk Prediction
  Clinical language models (LMs) are increasingly applied to support clinical risk prediction from free-text notes, yet their uncertainty estimates often remain poorly calibrated and clinically unreliable. In this work, we propose Clinical Uncertainty Risk Align…
  crossref Sizhe Wang, Ziqi Xu, Claire Najjuuko, Charles Alba 等 2026-04-16T05:58:37Z 置信度 0.83 cs.CL
• Autiverse: Eliciting Autistic Adolescents' Daily Narratives through AI-guided Multimodal Journaling
  Journaling can potentially serve as an effective method for autistic adolescents to improve narrative skills. However, its text-centric nature and high executive functioning demands present barriers to practice. We present Autiverse, an AI-guided multimodal jo…
  crossref Migyeong Yang, Kyungah Lee, Jinyoung Han, SoHyun Park 等 2025-09-22T08:02:09Z 置信度 0.76 cs.HCcs.AIcs.CL
• VeRe-Flow: Guiding Flow Matching toward Clean Speech via Velocity Contrastive Regularization and Representation Alignment for Noise-Robust Bandwidth Expansion
  Noise-robust bandwidth expansion aims to reconstruct high-fidelity wideband speech from noisy low-resolution inputs. While flow matching has shown strong performance in speech generation, accurately recovering clean speech from noisy inputs remains challenging…
  arxiv Sujin Koo, Sangyoon Kim, Ji Sub Um, Hoirin Kim 2026-06-28T15:15:41Z 置信度 0.83 eess.AS
• Towards Automating Data Access Permissions in AI Agents
  As AI agents attempt to autonomously act on users' behalf, they raise transparency and control issues. We argue that permission-based access control is indispensable in providing meaningful control to the users, but conventional permission models are inadequat…
  crossref Yuhao Wu, Ke Yang, Franziska Roesner, Tadayoshi Kohno 等 2025-11-22T07:50:43Z 置信度 0.85 cs.CRcs.AIcs.HCcs.LG
• PSQE: A Theoretical-Practical Approach to Pseudo Seed Quality Enhancement for Unsupervised Multimodal Entity Alignment
  Multimodal Entity Alignment (MMEA) aims to identify equivalent entities across different data modalities, enabling structural data integration that in turn improves the performance of various large language model applications. To lift the requirement of labele…
  crossref Yunpeng Hong, Chenyang Bu, Jie Zhang, Yi He 等 2026-02-26T11:47:32Z 置信度 0.83 cs.IRcs.LG
• Entropy-Guided Dynamic Tokens for Graph-LLM Alignment in Molecular Understanding
  Molecular understanding is central to advancing areas such as scientific discovery, yet Large Language Models (LLMs) struggle to understand molecular graphs effectively. Existing graph-LLM bridges often adapt the Q-Former-style connector with fixed-length stat…
  arxiv Zihao Jing, Qiuhao Zeng, Ruiyi Fang, Yan Sun 等 2026-02-02T19:56:21Z 置信度 0.83 cs.LGcs.AI
• Efficient, VRAM-Constrained xLM Inference on Clients
  To usher in the next round of client AI innovation, there is an urgent need to enable efficient, lossless inference of high-accuracy large language models (LLMs) and vision language models (VLMs), jointly referred to as xLMs, on client systems. To address this…
  arxiv Aditya Ukarande, Deep Shekhar, Marc Blackstein, Ram Rangan 2026-04-29T06:35:35Z 置信度 0.85 cs.DCcs.ARcs.LG
• Layer-wise Cross-Lingual Depression Detection from Speech: Analysis with Contrastive Alignment
  Significant disparities exist in the diagnosis and clinical presentation of depression across different linguistic populations. Speech-based depression detection performs well monolingually, but cross-lingual generalization remains an open challenge. A key rea…
  arxiv Anisha Pattanayak, Hanie Kang, Huang-Cheng Chou, Shrikanth Narayanan 等 2026-07-03T03:24:38Z 置信度 0.83 eess.AS
• The Ideation Bottleneck: Decomposing the Quality Gap Between AI-Generated and Human Economics Research
  Autonomous AI systems can now generate complete economics research papers, but they substantially underperform human-authored publications in head-to-head comparisons. This paper decomposes the quality gap into two independent components: research idea quality…
  arxiv Ning Li 2026-04-03T07:47:24Z 置信度 0.85 econ.GNcs.AIcs.CY
• Exploring Structures in Physics Problems: Can AI Agents Discover Statistical Mechanical Mappings?
  An important skill in theoretical physics is to recognize when a new problem can be transformed into a known model. We study this skill as an AI-agent task: can LLM-based agents discover statistical mechanical mappings from a raw partition function to a tracta…
  arxiv Wanyu Zhao, Wanbing Zhao 2026-07-29T01:00:59Z 置信度 0.83 cs.AI
• Context Aware AI Assistant and AR Interface for Lunar Extravehicular Activity (EVA) Procedural Guidance
  As human space exploration returns to the Moon, astronauts need rapid access to procedural information during extravehicular activities (EVAs), where attention is divided across navigation, repair tasks, tool handling, and environmental risk. The challenge is …
  crossref Rodrigo Gallardo, Qilmeg Doudatcz, Ganit Goldstein, Ilkyaz Sarimehmetoglu 等 2026-07-13T03:02:33Z 置信度 0.83 cs.HCcs.AI
• Drag or Traction: Understanding How Designers Appropriate Friction in AI Ideation Outputs
  Seamless AI presents output as a finished, polished product that users consume rather than shape. This risks design fixation: users anchor on AI suggestions rather than generating their own ideas. We propose Generative Friction, which introduces intentional di…
  arxiv A. Baki Kocaballi, Joseph Kizana, Sharon Stein, Simon Buckingham Shum 2026-03-29T07:06:22Z 置信度 0.79 cs.HCcs.AI
• Distance Is Not Enough: Forget-Retain Alignment Gap Predicts LLM Relearning Robustness
  Machine unlearning aims to make a model forget specific data, yet unlearned LLMs often fail to stay unlearned: brief fine-tuning can revive removed knowledge. Existing robustness predictors rely on global weight-space displacement, but distance alone can be mi…
  arxiv Yi Chen, Hanna Hsieh, Shuhong Liu, Chuanbo Hua 等 2026-08-26T06:39:49Z 置信度 0.83 cs.AIcs.LG
• From Junior to Senior: Allocating Agency and Navigating Professional Growth in Agentic AI-Mediated Software Engineering
  Juniors enter as AI-natives, seniors adapted mid-career. AI is not just changing how engineers code-it is reshaping who holds agency across work and professional growth. We contribute junior-senior accounts on their usage of agentic AI through a three-phase mi…
  crossref Dana Feng, Bhada Yun, April Yi Wang 2026-01-31T03:46:20Z 置信度 0.85 cs.HCcs.AIcs.SE
• Reviving Reflection-in-Action: Instilling Designerly Thinking in AI-Supported Ideation through Multimodal Prompting
  Current AI-powered creativity support tools (AI-CSTs) primarily use text prompting to generate solution-oriented outputs. However, the potential value of multimodal prompting in designer-AI interaction, specifically the introduction of productive friction to e…
  crossref Samangi Wadinambiarachchi, Jenny Waycott, Greg Wadley 2026-06-25T05:41:32Z 置信度 0.83 cs.HC
• AgenticCache: Cache-Driven Asynchronous Planning for Embodied AI Agents
  Embodied AI agents increasingly rely on large language models (LLMs) for planning, yet per-step LLM calls impose severe latency and cost. In this paper, we show that embodied tasks exhibit strong plan locality, where the next plan is largely predictable from t…
  arxiv Hojoon Kim, Yuheng Wu, Thierry Tambe 2026-04-27T04:51:15Z 置信度 0.85 cs.LGcs.AIcs.CL
• TIC 295741342: A Triply-Eclipsing Triple Star System with a Giant Tertiary
  We present the discovery and characterization of TIC 295741342, a triply-eclipsing triple star system with a giant tertiary. The eclipsing binary consists of two similar main-sequence stars in a 4.75-day orbit. The binary is in a 412.8-day orbit with the giant…
  crossref Brian P. Powell, Guillermo Torres, Veselin B. Kostov, Saul A. Rappaport 等 2026-05-19T16:34:58Z 置信度 0.79 astro-ph.SR
• Agents of ViTAL: Ethics Missions -- A Narrative-Centered Learning Environment with a Co-Designed Conversational Agent for Middle School AI Ethics
  Agents of ViTAL: Ethics Missions is a browser-based, narrative-centered learning environment in which middle school students collaboratively evaluate whether a fictional school should adopt an AI-powered classroom feedback tool. Students investigate stakeholde…
  arxiv Sarah Burriss, Jinzhi Zhou, Namrata Srivastava, Justin Phillips 等 2026-07-13T11:23:02Z 置信度 0.83 cs.CY
• Rethinking Code Review in the Age of AI: A Vision for Agentic Code Review
  Code review has evolved for decades, from informal peer checking to today's pull request (PR) workflows, yet it remains a largely manual and cognitively demanding process. The rise of Artificial Intelligence (AI) coding assistants has intensified this challeng…
  arxiv Hüseyin Özgür Kamalı, Erdem Tuna, Vahid Haratian, Eray Tüzün 2026-05-17T17:04:21Z 置信度 0.83 cs.SEcs.AI
• Comparative Analysis of Human vs. AI-powered Support in VRChat Communities on Discord: User Engagement, Response Dynamics and Interaction Patterns
  The integration of AI-driven support systems within online communities has opened new avenues for enhancing user engagement and support efficiency in recent years. This study investigates the differences in user interactions and engagement within two distinct …
  crossref He Zhang, Bumjin Kim, John M. Carroll, Jie Cai 2026-04-23T17:37:13Z 置信度 0.79 cs.HC
• Benchmarking LLM-as-a-Judge for Long-Form Output Evaluation
  As large language models (LLMs) are increasingly used for long-form generation, reliably evaluating long-form outputs has become a critical challenge. LLM-as-a-judge offers a scalable alternative to human evaluation, yet its reliability in long-form output eva…
  arxiv Junjie Chen, Yuxi Dong, Haitao Li, Weihang Su 等 2026-06-01T03:25:34Z 置信度 0.83 cs.CL
• Quantum Advantage in Tolerant Junta Testing
  We establish the first super-polynomial quantum advantage for the tolerant junta testing problem in the adaptive setting. Specifically, we show that within a certain parameter regime, tolerant $k$-junta testing with high precision can be solved using $\mathrm{…
  arxiv Avishay Tal, Weiqiang Yuan 2026-06-22T11:42:39Z 置信度 0.83 cs.CCquant-ph
• Chapter 11: Bridging the Divide – AI in the Global South
  crossref Jörg Storm 2026-08-21T06:35:38Z 置信度 0.59
• Guardrails for Innovation: Governance, Ethics, and Responsible AI
  You are reading about intelligence through a book, a medium that has survived every attempt to end it. When the press replaced the patient hand of the scribe, scholars feared the death of authenticity. They called print a corruption of knowledge, a machine tha…
  crossref Rajnish Harjika 2026-01-27T05:35:08Z 置信度 0.82 artificial intelligenceneuromorphic computingpsychologyai governanceconsciousness
• SYNTHETIC AI Review
  crossref William Johnson 2026-04-19T08:58:46Z 置信度 0.59
• AI Beyond the Veil
  crossref D. Kalpanadevi 2026-03-20T21:18:08Z 置信度 0.59
• AI Customization and Model Context Protocol
  In the previous chapter, you learned the fundamentals of GitHub Copilot and how it transforms individual development productivity. You discovered Agent Mode, inline chat, debugging assistance, and IntelliCode. These core features handle the majority of what mo…
  crossref Gerald Versluis 2026-06-16T11:43:49Z 置信度 0.76 social and behavioral sciencescs.hccs.selarge language modelscs.ma
• Common Challenges in AI Storytelling
  Generative AI has empowered creators with tools that once seemed like science fiction—systems that generate dialogue, build branching narratives, and simulate emotionally responsive characters. Yet behind the scenes of these remarkable capabilities lie persist…
  crossref Shesh Narayan Gupta 2026-03-31T22:24:21Z 置信度 0.78 generative grammarcs.hcpsychologymathematics educationtransformative learning
• Science, technology, and finances of AI platforms
  crossref Dominique J. Monlezun 2026-06-12T10:47:02Z 置信度 0.59
• AI-Powered Multi-cloud and Hybrid Cloud Strategies
  crossref Karan Alang 2026-01-23T06:41:22Z 置信度 0.63
• Chapter 18: AI for Everyone: Skills, Tools, and Lifelong Learning
  crossref Jörg Storm 2026-08-21T06:35:38Z 置信度 0.63
• Distillation-Enabled Knowledge Alignment Protocol for Semantic Communication in AI Agent Networks
  Future networks are envisioned to connect massive artificial intelligence (AI) agents, enabling their extensive collaboration on diverse tasks. Compared to traditional entities, these agents naturally suit the semantic communication (SC), which can significant…
  crossref Jingzhi Hu, Geoffrey Ye Li 2025-08-23T00:57:06Z 置信度 0.82 computer sciencecs.aicomputer and information sciencesartificial intelligencecs.lg
• A Note on “Philosophical Investigations into AI Alignment: A Wittgensteinean Framework” by J.A. Pérez-Escobar and D. Sarikaya
  crossref Sorin Bangu 2024-07-22T12:01:45Z 置信度 0.63
• Norms for beneficial A.I.: A computational analysis of the societal value alignment problem
  The rise of artificial intelligence (A.I.) based systems is already offering substantial benefits to the society as a whole. However, these systems may also enclose potential conflicts and unintended consequences. Notably, people will tend to adopt an A.I. sys…
  crossref Pedro M. Fernandes, Francisco C. Santos, Manuel Lopes 2020-12-08T13:08:30Z 置信度 0.79 psychologycs.cyphysicsmedical educationengineering ethics
• CLAUDHUB AI Review
  Early Bird Offer ClaudHub AI OTO 5: Financial Freedom System [$10 Discount] >>>Grab The Early Bird Offer ClaudHub AI OTO 6: ClaudHub AI Enterprise [$10 Discount] >>>Grab The Early Bird Offer ClaudHub AI OTO 7: ClaudHub AutoFlow Engine [$10 Discount] >>>Grab Th…
  crossref William Johnson 2026-04-22T09:49:46Z 置信度 0.82 psychologyai governancelarge language modelsquantum physicscognition
• MUSESPARK AI Review
  crossref William Johnson 2026-04-19T13:21:32Z 置信度 0.59
• Operationalizing Responsible AI
  How can we build and govern trustworthy AI? Operationalizing Responsible AI brings together leading scholars and practitioners to address this urgent question. Each chapter explores a key dimension of responsibility - fairness, explainability, psychological sa…
  crossref 2026-07-24T00:05:33Z 置信度 0.82 engineering ethicstransparencyknowledge managementcorporate governancetransformative learning
• 6 High-Performance Unrestricted AI Apps for 2026
  crossref Digi Best 2026-03-03T10:13:51Z 置信度 0.59
• AI as Dramaturgical Partner Designing Live, Embodied Human-AI Performance Systems
  crossref Ash Eliza Smith, Robert Twomey 2026-02-26T05:02:13Z 置信度 0.59
• Introduction to Trustworthy AI
  crossref Anuj Ashok Potdar 2026-02-21T08:23:12Z 置信度 0.59
• AI IN HUMAN RESOURCE MANAGEMENT
  Artificial Intelligence (AI) these days is transforming human resource management by automating monotonous routine work, refining data-driven decision-making and enhancing more personalised employee management across the functions of recruitment, training, per…
  crossref Dr. Leena George 2026-07-10T12:45:11Z 置信度 0.82 psychologybusinessknowledge managementhealth caretransformative learning
• Action Plan for Implementation of AI Transformation in Cities
  crossref Kwi-Gon Kim 2026-06-22T19:31:34Z 置信度 0.59
• Talking Like a Human, Thinking with the Brain: EEG and Behavioral Evidence of Perceived Affective Alignment in Contextual Human-AI Interaction_supp2-3639299.csv
  crossref Jiyoung Kang 2025-12-08T18:40:57Z 置信度 0.63
• AI-KD: Towards Alignment Invariant Face Image Quality Assessment Using Knowledge Distillation
  Face Image Quality Assessment (FIQA) techniques have seen steady improvements over recent years, but their performance still deteriorates if the input face samples are not properly aligned. This alignment sensitivity comes from the fact that most FIQA techniqu…
  crossref Žiga Babnik, Fadi Boutros, Naser Damer, Peter Peer 等 2024-07-22T17:31:28Z 置信度 0.82 cs.lgcs.aicomputer and information sciencescs.cvartificial intelligence
• Collaborative Agents (Multi-agent Systems, Human–AI Teaming)
  One of the simplest truths about the real world is that most meaningful work requires teams. Doctors rely on nurses and specialists, astronauts rely on mission control, and software engineers rely on designers, testers, and product managers. Very few problems …
  crossref Dhivya Nagasubramanian 2026-03-31T22:23:18Z 置信度 0.80 cs.secs.cemechanical engineeringopticstask
• ‘Para-adaptation’ reloaded: generative AI and the emergence of short-form AI adaptations
  Abstract This article examines the emergence of Artificial Intelligence (AI)-generated short-form adaptations circulating on social media, with particular attention to their use of popular online storytelling formats as vehicles for reimagining familiar texts.…
  crossref Costas Constandinides 2026-03-30T11:33:21Z 置信度 0.73 psychologycomputer sciencegenerative grammarcognitive sciencecorporate governance
• AI and Education for Planetary Flourishing: Towards Earth-Alignment
  crossref Sharon Stein 2026-04-25T07:33:09Z 置信度 0.63
• MEMORYBANK AI Review
  Any 1 Or More OTOs From Below If Already Got Front End! MemoryBank
  crossref William Johnson 2026-04-19T07:37:27Z 置信度 0.64
• ADAMIX AI Review
  Bonuses and REMEMBER to hit me through email to confirm that you had done step 2.You will get my Bonuses within 12 hours.I'll be honest.There was a point where I almost gave up on AI tools completely.Not because they didn't work -but because they made everythi…
  crossref William Johnson 2026-04-17T13:09:06Z 置信度 0.78 physicsartificial intelligencecomputer sciencecs.aiphysical sciences
• AI for Compliance in Cloud Environments
  crossref Vaishnavi Gudur, Rajeev Kumar 2026-01-23T06:41:28Z 置信度 0.59
• The Technical Architecture of Agentic AI in Procurement
  crossref Bernardo Nicoletti 2026-05-21T21:04:19Z 置信度 0.59
• SITEGENIUS AI Review
  crossref Taylor Johnson 2026-03-05T17:39:06Z 置信度 0.59
• AI TALKER Review
  crossref William Johnson 2026-05-03T07:11:02Z 置信度 0.59
• Fairness-Aware AI for Healthcare Supply Chain Equity: Integrating Social Determinants of Health, Causal Modeling, and Geospatial Optimization
  Background: Healthcare supply chains increasingly rely on artificial intelligence for demand forecasting and resource allocation, yet most existing frameworks optimize for efficiency while remaining blind to the structural inequities embedded in the data they …
  crossref 2026-08-09T17:02:20Z 置信度 0.82 artificial intelligencecomputer sciencesupply chainmachine learningmedicine
• The biased co-counsel: analyzing gendered defense strategies in AI-assisted criminal litigation
  Abstract As artificial intelligence (AI) assumes increasingly complex advisory roles in legal practice, its capacity to navigate the nuances of criminal defense remains a critical yet underexplored area. This study investigates the strategic and ethical limita…
  crossref Dialekti Athina Voutyrakou, Nikolaos Voutyrakos 2026-06-30T10:39:44Z 置信度 0.82 engineering ethicspsychologyknowledge managementgenerative grammarcs.ai
• Uncertain hands: ethical implications of AI dependency in medical education
  Abstract As artificial intelligence (AI) systems are increasingly adopted into educational frameworks, the medical field is undergoing a radical revolution. Incorporating a poem, this review analyses the ethical concerns of technology dependency among medical …
  crossref Enoch Chi Ngai Lim, Chi Eung Danforn Lim 2026-03-25T05:07:54Z 置信度 0.82 health careengineering ethicsknowledge managementcomputer sciencepsychology
• What Do You Need To Hear? (Mis)Alignment in Sympathy Expressions
  Grief is a prevalent, consequential, and underexamined experience in organizational life. Despite the ubiquity of grief at work, people often do not know what to say when someone is grieving. Integrating the Interpersonal Emotion Regulation Literature with Bas…
  crossref Daniel J. Chiacchia 2026-07-18T00:28:36Z 置信度 0.78 psychologyhuman-computer interactionartificial intelligencesocial and behavioral sciencesbrain-computer interface
• A deployed investigative AI search engine for combating human trafficking at web scale
  Abstract Online human trafficking investigations generate vast amounts of noisy, heterogeneous, and deliberately obfuscated data, making traditional search and analytics tools ineffective for supporting law enforcement. This paper discusses the deployment of t…
  crossref Mayank Kejriwal 2026-08-22T07:51:29Z 置信度 0.82 computer sciencebusinesspsychologyengineeringcontext
• The AI Agentic Paradigm
  This chapter discusses the moment artificial intelligence stopped being a specialist s tool and became a global phenomenon. It traces the impact of ChatGPT s arrival, from its record-breaking adoption to the shockwaves it sent through every major technology co…
  crossref Thomas Klein 2026-08-27T21:17:11Z 置信度 0.82 computer sciencehealth caredata sciencepsychologytransformative learning
• Building AI Benchmarks from Exam Documents
  crossref Benjamin Kressig, Noah Koller, Imanol Schlag 2026-06-02T20:04:00Z 置信度 0.59
• Legitimate expectations in the age of innovation
  crossref Brian Kogelmann, Jeffrey Carroll 2026-01-28T16:37:01Z 置信度 0.59
• VIDFORCE AI Review
  crossref William Johnson 2026-05-04T06:22:27Z 置信度 0.59
• Understanding AI
  Artificial Intelligence (AI)-driven personalisation has transformed the way individuals interact with digital platforms by delivering customized experiences based on user preferences, behaviors, and needs.
  crossref Pragya Singh 2026-04-27T18:57:01Z 置信度 0.71 transformative learningtransparencyembodied cognitionhealth caremathematics education
• (AI Rights 7): Soulbound AI, Soulbound Robots: How Ethereum's ERC-5192 Creates Fingerprints for Autonomous AI Agents 
  The previous papers in this series established frameworks for AI economic participation: why control fails, how markets create alignment, how to assess AI readiness, what legal structures enable autonomy, and why insurance provides distributed governance. Each…
  crossref P.A. Lopez 2026-03-10T11:03:06Z 置信度 0.82 ai governanceai safetycs.cycorporate governancecs.ai
• AI-Based 3D Point Cloud Coding Standards
  crossref Wei Gao 2026-04-05T22:51:02Z 置信度 0.59
• Enhancing transparency and reliability in generative AI through case-based reasoning and explainable AI
  Integrating transparency and reliability into generative artificial intelligence remains a critical challenge in modern digital systems due to the opaque and probabilistic nature of deep learning models. This study proposes a hybrid framework that integrates G…
  crossref Thacha Lawanna 2026-05-23T17:45:50Z 置信度 0.82 computer scienceartificial intelligencecs.aicomputer and information sciencescs.lg
• A Zero-Trust AI-Blockchain Architecture for Quantum-Secure Metaverse Platforms
  The expansion of the Metaverse presents security risks that conventional perimeter-based protections are unable to mitigate. This research introduces and experimentally substantiates a Zero-Trust Architecture (ZTA) that incorporates a federated ResNet-50 model…
  crossref Gabriel Silva Atencio 2026-07-01T12:12:39Z 置信度 0.82 computer sciencecomputer and information sciencescloud computingdistributed computingcomputer security
• Ethical AI Implementation in Business: Challenges, Gaps, and Solutions
  The ethical adoption of Artificial Intelligence (AI) remains a valuable investment for business and society, irrespective of the state of the world; therefore, organizations should maintain a strong focus on ethics in the AI deployment process. This study revi…
  crossref Aftab Ara 2026-03-06T03:26:25Z 置信度 0.82 knowledge managementbusinessengineering ethicstransparencycorporate governance
• AI News Audit: How AI Models Use and Distribute Canadian Journalism
  AI models have become a primary way for millions of Canadians to get information. When people ask ChatGPT, Gemini, Claude, or Grok about current events, the responses they receive, and the sources those responses cite, shape which news organizations get traffi…
  crossref Aengus Bridgman, Taylor Owen 2026-07-23T09:33:33Z 置信度 0.73 large language modelssocial and behavioral sciencescs.cycognitive psychologygenerative grammar
• From Blueprint to Reality: Implementing AI Regulatory Sandboxes under the AI Act
  Artificial intelligence (AI) regulatory sandboxes are a mechanism introduced in the recently adopted Artificial Intelligence Act (AI Act) to foster the development of innovative AI systems within the European Union (EU). By 2 August 2026, each Member State of …
  crossref Nathan Genicot 2026-04-01T11:11:59Z 置信度 0.78 corporate governancebusinessengineering ethicshealth caretransparency
• Introducing <i>BMJ Connections Digital Health &amp; AI</i>
  We are excited to launch BMJ Connections Digital Health & AI (https://connectionsdigitalhealth.
  crossref Felix Holl 2026-04-24T14:40:18Z 置信度 0.64
• AI Is Capital, Not Software: A Framework for Understanding AI Value Creation
  Most enterprise AI initiatives underperform not because of model limitations, but because organizations deploy AI as software when it behaves like capital. Software is a tool that enables human work. Capital is a productive asset that generates economic output…
  crossref Raja Pabba 2026-03-10T10:54:32Z 置信度 0.82 cs.aicomputer scienceartificial intelligencehuman-computer interactionai governance
• Why Explainability Matters in AI
  Artificial intelligence is often described as a “black box”—systems that make decisions without human users fully understanding how those decisions are made. While this may be acceptable for low-stakes tasks like recommending a movie, it is deeply problematic …
  crossref Ariel Evans, Ajay Singh 2026-07-13T14:11:32Z 置信度 0.76 cs.cypsychologycs.aiengineering ethicsgenerative grammar
• Supporting Responsible AI Use Through Authorship Quizzing and Assistive Video AI: A University Pilot Study of Two AI Tools
  The rapid expansion of Generative Artificial Intelligence (GenAI) has created both opportunities and challenges for Higher Education (HE), particularly in relation to academic integrity, authorship, and student learning. This pilot study examined two emerging …
  crossref Daniel Lee 2026-02-02T04:10:37Z 置信度 0.82 psychologygenerative grammarknowledge managementcs.aisociology
• The missing middle in AI native music production: Compression, editorial musicianship, and governance in the generative stack
  Abstract This article examines the structural reconfiguration of contemporary music‐making within AI‐mediated production environments. From a historical perspective of music technology, it compares algorithmic composition, electronic instruments, and Digital a…
  crossref Eun Ji Park 2026-08-13T13:21:31Z 置信度 0.82 computer sciencebusinesscs.aisociologyai governance
• SITEGENIUS AI Review
  crossref Taylor Johnson 2026-03-05T17:40:45Z 置信度 0.59
• Understanding AI
  AI-driven personalization refers to the use of advanced algorithms and machine learning techniques to tailor content, products, and services to individual users based on their preferences, behaviors, and contextual data. By analyzing large volumes of user data…
  crossref Gaurang Kumar 2026-04-27T18:00:14Z 置信度 0.82 computer sciencecs.hcedge computingbig datacloud computing
• Coordinating Sustainability in Multinationals: An Interpretive Alignment Perspective
  Sustainability has become central to multinationals’ strategy and operations as they face increasing pressure to reduce their negative impacts while enhancing positive contributions to society. As sustainability disclosure shifts from voluntary commitment to r…
  crossref Junghoon Park, Hyeongjung Kim, Yeonwoo Lee 2026-07-18T00:28:36Z 置信度 0.82 cs.aicorporate governancecomputer and information sciencesbusinessai governance
• DATING HISTORICAL DOCUMENTS USING DEEP LEARNING
  The date of a historical document, if it was published, can be recognized through the date of its preface or copyright page. However, dating an unpublished manuscript is much more difficult. In the case of old Hangeul documents, various linguistic features can…
  crossref Jinho Park 2026-04-01T23:52:57Z 置信度 0.82 computer sciencecs.lgartificial intelligenceartificial neural networkconvolutional neural network
• Staying in the Loop
  Abstract Generative AI has fast become the next big thing and its influence on the profession of arms is underway. Unlike many technological innovations that have altered the character of war, generative AI is changing the way decisions are made as opposed to …
  crossref H Christian Breede 2026-06-24T15:19:05Z 置信度 0.78 generative grammarpsychologycs.cycontextengineering ethics
• Smart Cities of AI Robots and Autonomous Vehicles
  crossref 2026-03-07T07:10:48Z 置信度 0.59
• Revid AI Coupon Code 20SAVE – Real Value | 2026
  Revid AI Coupon Code 20SAVE -Real Value | 2026Revid AI is an advanced AI-powered video creation platform designed for creators, marketers, entrepreneurs, and businesses who want to produce high-quality videos faster and more efficiently.Instead of spending hou…
  crossref Revid Malik 2026-03-28T13:19:28Z 置信度 0.82 social and behavioral sciencessynthetic biologyprocessdigital twincs.ir
• Integrating Causal AI, Agentic AI, and LLMs for Intelligent Telecom Network Management
  The rapid evolution of telecommunication networks toward 5G, beyond 5G (B5G), and emerging 6G infrastructures has introduced unprecedented complexity in network management due to massive device connectivity, dynamic traffic patterns, virtualization, and distri…
  crossref Park Ji Hyun, Rohan Sharma 2026-08-20T13:25:23Z 置信度 0.82 computer sciencecomputer and information sciencesartificial intelligenceelectrical engineering, electronic engineering, information engineeringnetworking and internet architecture
• AI in Language Teaching and Learning
  crossref 2026-07-13T22:15:42Z 置信度 0.66
• AI ROI
  This chapter addresses the critical gap in measuring the impact of AI tools on business outcomes, focusing on key metrics such as lead quality, churn reduction, and issue resolution speed. It proposes a framework for measuring AI's impact across different stag…
  crossref 2026-08-18T04:48:57Z 置信度 0.78 businessknowledge managementsustainabilitytransformative learningprocess
• AI in practice: Advancing intelligent pig breeding with AI-driven image extraction
  crossref Editorial Team 2026-03-18T09:06:12Z 置信度 0.59
• When AI Writes Like You: How Generative AI Crowds Out Human Expression
  As generative AI systems produce increasingly human-like text, a paradox emerges: rather than AI adapting to human norms, humans are adapting to avoid resembling AI. This study investigates stylistic crowding-out, wherein knowledge workers abandon authentic ex…
  crossref Xiaotian Dai 2026-07-18T00:28:36Z 置信度 0.73 psychologysociologycs.aics.hcknowledge management
• Respiratory Signal Estimation for Free-Hand 2D Ultrasound Image via Heterogeneous Alignment and Conditional Generative Learning
  Objective 2D ultrasound sequence captures respiration-induced morphological variation of organs and is the most widely used for estimating the signal that represents the respiratory motion. However, the spatial motion introduced by clinical free-hand ultrasoun…
  crossref Jingshu Li, Tianyu Fu, Hong Song, Jingfan Fan 等 2025-07-17T17:56:06Z 置信度 0.82 cs.cvcomputer and information sciencesbrain-computer interfacemotor imagerysignal processing
• About the editors
  crossref 2026-05-29T12:06:47Z 置信度 0.59
• Governing AI
  Governing AI is about getting AI right. Building upon AI scholarship in science and technology studies, technology law, business ethics, and computer science, it documents potential risks and actual harms associated with AI, lists proposed solutions to AI-rela…
  crossref Onur Bakiner 2026-02-20T00:08:13Z 置信度 0.82 psychologybusinessengineering ethicscognitive sciencecorporate governance