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• AI-Assisted Assessment and Instruction in Higher Education: Foundations, Applications, and Implications for Exam Design
  The rapid diffusion of large language models (LLMs) such as ChatGPT challenges fundamental assumptions about assessment validity in higher education. This paper examines how AI systems capable of performing many traditional academic tasks necessitate a princip…
  preprints 2026 置信度 0.86 computer sciencecs.aipsychologygenerative grammarartificial intelligence
• A conversational AI toolkit for citizen deliberation in party primary elections
  Primary elections within political parties are increasingly consequential for democratic outcomes, yet voters –both party members and the general public– frequently lack systematic, comparable and trustworthy information about the candidates competing for nomi…
  preprints 2026 置信度 0.86 cs.aicomputer sciencemedicinecs.cypsychology
• NutriSteppe-AI: Development, Architecture, and Explainable Design of a Large Language Model–Driven Chatbot for Personalized Health Menu Generation
  Background: /Objectives: Suboptimal dietary patterns are among the leading modifiable contributors to global morbidity and mortality, particularly in cardiovascular disease, type 2 diabetes mellitus (T2DM), obesity, metabolic syndrome, and hypertension. Digita…
  preprints 2026 置信度 0.86 computer sciencemedicineartificial intelligencecs.aihealth care
• Physics-Guided Deep Neural Networks: Correcting Physical Distortions in Protein Phase Separation Prediction
  Background In computational biology, embedding known physical laws into deep learning models to construct “Physics-Informed Neural Networks” (PINNs) is a mainstream paradigm for enhancing model interpretability and extrapolation capability. However, in complex…
  preprints 2026 置信度 0.86 artificial intelligencecomputer sciencecs.lgcomputer and information sciencesmachine learning
• Artificial Intelligence in Science Teaching: An Inductive Typology of Teacher Use and Its Alignment with Artificial Intelligence Literacy Frameworks
  Abstract Artificial intelligence (AI) is increasingly recognized as a transformative force in education; however, limited attention has been given to systematically examining how teachers represent AI use within subject-specific contexts. This study therefore …
  preprints 2026 置信度 0.86 psychologyknowledge managementmathematics educationsociologyengineering ethics
• Alignment-free phylogenetic inference via hyperbolic protein language models
  Conventional phylogenetic methods rely on multiple sequence alignments which are computationally intensive and often fail for highly divergent lineages. Here, we introduce LucaPhylo, an alignment-free framework that infers evolutionary relationships directly f…
  preprints 2026 置信度 0.86 cs.aibiologycs.lgcomputer and information sciencescomputational biology
• Chemoarchitectural influences on the cortical connectome confer resilience in aging
  The macroscale signaling of the brain emerges from the integration of connected areas, orchestrated by microscale, regional molecular processes. Despite growing multimodal neuroimaging data resources, the role of cortical chemoarchitecture in shaping inter-reg…
  preprints 2026 置信度 0.86 psychologyneurosciencecognitioncognitive psychologycognitive science
• A Weakly Supervised Pre-processing Pipeline for Multi-Modal Image Pair Generation for Image Registration
  Abstract Recent advances in AI-based image analysis have substantially improved the efficiency of extracting meaningful information from large-scale image datasets. However, the effectiveness of these methods strongly depends on the quality of input data, nece…
  preprints 2026 置信度 0.86 cs.cvcomputer scienceartificial intelligencecomputer and information sciencescs.lg
• AI Use in Anomaly Detection: Integrating Multi-Modal Sensor Data and Streaming Analytics Using Hybrid KNN-LSTM Networks
  The proliferation of Internet of Things (IoT) devices and cyber-physical systems has led to an exponential increase in multi-modal sensor data, necessitating robust and intelligent anomaly detection frameworks to ensure system integrity, safety, and security. …
  preprints 2026 置信度 0.86 computer sciencecomputer and information sciencesartificial intelligencecs.aics.lg
• Infusing Generative AI into a Non-Technical University Course: A Qualitative Action Research Study of Production-Based Critical AI Literacy in Political Communication Education
  Abstract The rapid uptake of generative artificial intelligence (GenAI) in higher education creates both pedagogical opportunities and democratic risks for disciplines concerned with media, politics, and public communication. This paper reports a qualitative a…
  preprints 2026 置信度 0.86 psychologygenerative grammarsociologymathematics educationknowledge management
• SuSiNE: Genetic fine-mapping with signed functional priors and multi-basin ensembling
  Genetic fine-mapping identifies causal variants within trait-associated loci, but linkage disequilibrium (LD) and wide datasets complicate this sparse variable-selection problem. SuSiE is popular for its fast variational inference, posterior inclusion probabil…
  preprints 2026 置信度 0.86 cs.lgcs.aicomputer sciencebiologyartificial intelligence
• Designing AI-Enabled Career Coaching Tools for Women: An Expert Interview Study
  AI-enabled coaching is increasingly used in career development, yet limited attention has been paid to how such tools should be designed for women, particularly in male-dominated contexts. This study examines which AI-enabled career coaching use cases experts …
  preprints 2026 置信度 0.86 psychologyknowledge managementscience policyhealth carebusiness
• Scoring consistency of teachers and artificial intelligence algorithms in written expression assessment: a comparative quantitative study
  Abstract Written expression assessment at the secondary school level involves complex interactions among text genre, evaluator type, and student characteristics. The present study examined the degree of agreement, divergence, and patterning between scores prod…
  preprints 2026 置信度 0.86 psychologymedicinemathematics educationmedical educationgenerative grammar
• Understanding AI Adoption in the Logistics and Supply Chain Industry in Thailand: An Integrated TOE–TTF–UTAUT Framework
  Artificial intelligence (AI) is rapidly transforming logistics and supply chain management by enhancing operational efficiency, predictive analytics, and decision-making capabilities. Despite increasing digital transformation initiatives, the determinants of A…
  preprints 2026 置信度 0.86 businessknowledge managementsustainabilitysupply chainprocess management
• Designing AI-enabled career coaching tools for women: An expert interview study
  AI-enabled coaching is increasingly being introduced into career development, yet limited attention has been paid to how such tools should be designed for women’s career development, particularly in male-dominated contexts. This study explored which AI-enabled…
  preprints 2026 置信度 0.86 psychologycomputer scienceknowledge managementengineering ethicshuman-computer interaction
• Biological Continued Pretraining Reshapes the Capability Profile of a Foundation Model Without Catastrophic Forgetting
  It is widely assumed that continued pretraining (CPT) on a narrow, out-of-distribution corpus such as raw biological sequence must trade away a general-purpose model’s broad competence — the “alignment tax” or catastrophic-forgetting intuition. We test this di…
  preprints 2026 置信度 0.86 cs.aics.lgbiologyartificial intelligencecomputer and information sciences
• Explainable Artificial Intelligence in Precision Medicine: Methods, Applications, and Challenges
  Precision medicine focuses on customizing diagnostic, prevention and treatment approaches by accounting for the individual characteristics of each patient. This personalization draws on diverse sources of information including clinical records, genomic data, m…
  preprints 2026 置信度 0.86 computer scienceartificial intelligencehealth caredata sciencemedicine
• The Road Ahead: How the Future of Learning is Shaped Through Individual Differences
  The future of learning is often framed through technological change. Here, we show that these developments do not replace, but emphasize, long-standing questions in educational psychology, concerning why learners benefit differently from the same opportunities…
  preprints 2026 置信度 0.86 psychologyartificial intelligencecorporate governancecognitive sciencecs.cy
• Negotiated Augmentation: How Generative AI Reshapes Creative Workflows, Agency, and Authorship in Architecture and Design
  Abstract Over the past four decades, digital tools have reshaped creative practice, progressively reconfiguring the human-technology nexus through which designers ideate, decide, and innovate. The emergence of generative artificial intelligence (GenAI), includ…
  preprints 2026 置信度 0.86 psychologygenerative grammarcs.aiknowledge managementsociology
• ForgeReason: Multimodal Reasoning with Multi-Agent Collaboration for Generalizable and Explainable Image Forgery Detection
  Abstract The rapid advancement of generative AI and sophisticated image editing tools has made image forgery increasingly convincing, posing serious threats to media integrity, legal evidence, and public trust. Existing forgery detection methods primarily rely…
  preprints 2026 置信度 0.86 artificial intelligencecomputer and information sciencescs.aicomputer sciencecs.lg
• Challenges in AI Based Tumor Board Case Summarization and Recommendations
  Abstract Tumor boards, recurring meetings at hospital institutions, assemble multiple cancer specialties (e.g. medical oncology, pathology) to discuss oncological care for patients. In this work, we formally describe the tasks of tumor board case summarization…
  preprints 2026 置信度 0.86 cs.aimedicineartificial intelligencepsychologycs.lg
• AI Safety Training Can be Clinically Harmful
  Abstract Large language models are being deployed as mental health support agents at scale, yet only 16\% of LLM-based chatbot interventions have undergone rigorous clinical efficacy testing \citep{hua2025charting}. We argue that the dominant alignment paradig…
  preprints 2026 置信度 0.86 cs.aipsychologymedicineartificial intelligencecs.cl
• Architecting the Geopolitical Sandbox: Heterogeneous Multi-Agent Pipelines for Simulating Geopolitical Crisis
  Abstract Large Language Models (LLMs) are increasingly deployed in generative wargaming and computational diplomacy, yet current simulations rely predominantly on homogeneous, US-aligned APIs, implicitly treating safety alignment as geopolitically neutral. Thi…
  preprints 2026 置信度 0.86 cs.aiartificial intelligencecs.clmulti-agent systemslarge language models
• mpathic Psychologist-led AI Clinical Tests Eating Disorders Benchmark (mPACT-ED-v1.0)
  The mpathic Psychologist-led AI Clinical Tests Eating Disorders Index (mPACT-ED-v1.0) benchmark is a comparison of large language models (LLM) in their response to mental health content involving disordered eating presentations. Eating disorders are among the …
  preprints 2026 置信度 0.86 cs.aipsychologyartificial intelligencecs.lgmedicine
• Artificial Intelligence as a Psychotherapeutic Tool: Competency Delegation, Ethical Boundaries, and the Irreducible Human Element
  The rapid integration of artificial intelligence (AI) into psychological practice has introduced new opportunities for assessment, intervention, and decision support, while simultaneously raising critical ethical and professional concerns. This paper examines …
  preprints 2026 置信度 0.86 psychologyengineering ethicsknowledge managementtransformative learningtransparency
• Interpretable Hybrid CNN Transformer Framework with Cross Attention Fusion and Uncertainty Quantification for Multi Mechanism Corrosion and Erosion Detection
  Abstract Corrosion and flow-induced erosion of metallic infrastructure impose an estimated US$2.5 trillion annual global burden and constitute leading causes of catastrophic failure across nuclear waste transport, oil and gas transmission, marine, and civil se…
  preprints 2026 置信度 0.86 artificial intelligencecs.aicomputer and information sciencescs.lgcomputer science
• MUTMA’INN: An AI-Driven Edge–Cloud Framework for Safe and Intelligent School Bus Transportation
  Student safety during daily school transportation remains a major concern, particularly in systems that rely mainly on GPS tracking and manual supervision. Existing approaches often lack proactive safety mechanisms for monitoring both student attendance and dr…
  preprints 2026 置信度 0.86 computer scienceroboticsartificial intelligencecs.aicomputer and information sciences
• Open-Source Embedding Strategies for Recovering Spanish Scale Structure
  Text embeddings from large language models are increasingly able to reproduce how items cluster in real response data, offering a fast, low-cost way to screen items and spot structural problems early. But most evidence comes from English tests and closed comme…
  preprints 2026 置信度 0.86 cs.aipsychologycs.lgartificial intelligencecs.cl
• Can ChatGPT write better scientific titles? A comparative evaluation of human-written and AI-generated titles
  Background Large language models (LLMs) such as GPT-4 are increasingly used in scientific writing, yet little is known about how AI-generated scientific titles are perceived by researchers in terms of quality. Objective To compare the perceived alignment with …
  preprints 2026 置信度 0.86 psychologymedicinecomputer sciencenatural language processingartificial intelligence
• Multimodal Fuzzy Logic Systems for Navigating Ethical Ambiguities in AI Decision-Making
  Abstract As artificial intelligence systems become increasingly autonomous in high-stakes domains, the need for nuanced ethical decision-making frameworks grows more urgent. Traditional binary logic struggles to address the inherent ambiguity of ethical dilemm…
  preprints 2026 置信度 0.82 computer sciencecs.aiknowledge managementengineering ethicstransparency
• An AI-Enabled Zero‑Trust Framework for Security Validation Platforms
  Abstract The rapid adoption of autonomous and agentic Artificial Intelligence (AI) systems has intensified the need for rigorous, transparent, and continuously verifiable security controls. This paper presents a unified framework for a Zero‑Trust AI Security V…
  preprints 2026 置信度 0.86 computer scienceartificial intelligencecs.aicomputer and information sciencesai governance
• Analytical Placement System: An AI-Enabled Platform for Structured Placement Preparation
  Abstract Campus placement remains a high-stakes milestone for engineering graduates, yet most students approach recruitment drives without structured preparation, measurable readiness metrics, or feedback on the communication skills that recruiters actually ev…
  preprints 2026 置信度 0.86 computer scienceartificial intelligencecs.aicomputer and information sciencespsychology
• Explainable AI (XAI) for Competency Assessment: Bridging Primary Education Outcomes and Vocational Skill Readiness
  Background Ensuring that educational outcomes translate into workforce readiness remains a major challenge, particularly in Technical and Vocational Education and Training (TVET). Increasing evidence suggests that vocational skill gaps originate from uneven fo…
  preprints 2026 置信度 0.86 artificial intelligencemedicinepsychologyknowledge managementcs.ai
• LLMs in the Lab: Can AI Predict What Real Participants Do?
  Abstract Can large language models (LLMs) simulate participant-level datasets from experimental designs such that their statistical properties, such as effect directions, magnitudes, and significance, align with those of actual human data? In this work, we tes…
  preprints 2026 置信度 0.86 cs.aiartificial intelligencecomputer sciencepsychologycs.cl
• Modeling Synthetic Audience Reactions to Narratives: A Generative GSR Model to Predict Autonomic Alignment during Film Viewing
  While media consumption can be a solitary act, it produces a shared, socially coordinated experience where audiences’ bodies align in response to shared narrative events that are often social-affective in nature. Despite this recognition, traditional descripti…
  preprints 2026 置信度 0.86 cs.aicomputer sciencepsychologyartificial intelligencecomputer and information sciences
• Mirage of the Shared Mind: Collective Coordination and Epistemic Decoupling in Large Language Model Societies
  Abstract Classical social epistemology assumes that collective agreement reflects a convergence of internal epistemic states: when a group agrees, its members have integrated distributed information into a shared understanding. This study investigates whether …
  preprints 2026 置信度 0.86 cs.aiai safetycomputer and information sciencespsychologymulti-agent systems
• Relationally Induced Inference Regimes in Human–AI Interaction: Evidence from Two Blind Cross-System Studies
  Abstract Current evaluation of large language models (LLMs) emphasizes atomic task performance, neglecting the emergent, co-constructed dynamics of sustained human–AI interaction. We report two cross-system experimental studies ( N = 36 sessions across four de…
  preprints 2026 置信度 0.86 psychologycomputer and information sciencescs.ailarge language modelsai safety
• Learning Human-Aligned Explanations: AMeta-Model Approach to Combining XAIMethods for Arabic Sentiment Analysis
  Abstract Explainable Artificial Intelligence (XAI) aims to make complex AI models moretransparent by revealing how their predictions are made. However, XAI methods such as LIME and SHAP often yield inconsistent results, as each captures different aspects of mo…
  preprints 2026 置信度 0.86 artificial intelligencecomputer sciencecs.aics.lginterpretability
• Audit Detection Risk Reduction Using Machine Learning: Evidence from 3.3 million Transactions
  Abstract Machine learning models for audit anomaly detection are commonly evaluated using proprietary or synthetic datasets, with limited validation against official audit outcomes. This study proposes a four-layer ML framework designed to reduce audit detecti…
  preprints 2026 置信度 0.86 artificial intelligencemachine learninginterpretabilitycs.lgmulti-agent systems
• AI-Powered Talent Chain Management with Multi-Agent Systems for Industry and Innovation Growth
  Abstract This study introduces an innovative methodological framework for AI-driven talent chain management, addressing key challenges in workforce optimization, collaboration dynamics, and innovation assessment within complex and uncertain environments. Tradi…
  preprints 2026 置信度 0.86 computer scienceknowledge managementprocess managementsupply chaintransformative learning
• The sequence alignment problem: boundary conditions as the unifying principle
  Abstract Sequence alignment provides a formal framework for comparison of biological sequences through score maximization over matches, mismatches, and insertion–deletion events. Classical formulations distinguish between global alignment, which enforces end-t…
  crossref Paul A Gagniuc, Elvira Gagniuc 2026-06-02T11:33:01Z 置信度 0.82 cs.aicomputer and information sciencescs.lgartificial intelligencecomputer science
• Structuring the Space of Sociotechnical Alignment: A Specification Framework and Systematic Literature Review
  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 unspecified what such “social desirability” entail…
  crossref Esra Dönmez, Agnieszka Falenska 2026-06-06T18:19:36Z 置信度 0.82 cs.aicognitive sciencecomputer sciencepsychologycs.cy
• Ideological Alignment at the Top: CEO–Host Government Political Congruence, Investment Commitment, and MNE Performance
  Political ideology remains undertheorized in international business research. Drawing on upper echelons theory, institutional theory, and legitimacy theory, this paper develops a conceptual framework examining how the congruence between a chief executive offic…
  crossref Juhitha Alasyam 2026-05-12T10:39:31Z 置信度 0.82 businesscs.cycorporate governanceai governancepolitical science
• The Future of AI Explainability
  Explainability has moved from an academic discussion to a core business and regulatory requirement. Yet as AI grows more complex and deeply integrated into society, the need for next generation’s explainability will intensify. The future of explainability will…
  crossref Ariel Evans, Ajay Singh 2026-07-13T14:11:32Z 置信度 0.71 spaceedge computingmedical educationpolitical scienceearth science
• Why Definitions Matter in AI
  In the rapidly evolving world of artificial intelligence (AI), definitions are not mere semantics; they are foundational. Clear and precise definitions are critical to ensuring that AI systems are transparent, fair, consistent, and safe. As AI technologies inc…
  crossref Ariel Evans, Ajay Singh 2026-07-13T14:11:32Z 置信度 0.73 engineering ethicshealth caretransformative learningtransparencycorporate governance
• AI-Driven Excellence: Unlocking Better Technological Innovation Through AI Orientation
  While firms increasingly deploy Artificial Intelligence (AI) to improve their performance, not all are able to translate their AI efforts to impact. This study examines how and under what conditions a firm’s AI orientation enhances their technological innovati…
  crossref Annika Arbitter, Steffen Strese 2026-07-18T00:28:36Z 置信度 0.73 businessknowledge managementsustainabilitypsychologyengineering ethics
• Review for "Band Alignment and Interfacial Electrostatics: Unraveling the Dynamic Space Charge Layer in All-Solid-State Batteries"
  crossref 2026-02-26T07:20:44Z 置信度 0.63
• The Image Makers: Demand-Led Standardization for Ecosystem Alignment and Innovation
  Ecosystem alignment is critical for realizing complementarities in nascent industries, yet prior research views it as predominantly supply-led, driven by influential firms. We examine how demand-side actors construct coordination mechanisms for ecosystem align…
  crossref Najoung Lim, Ram Ranganathan, Rajshree Agarwal 2026-04-29T08:18:51Z 置信度 0.82 businessknowledge managementcs.aiworkflowtransformative learning
• Brain-Language Alignment During Naturalistic Reading and Its Disruption by Mind-Wandering
  Encoding models offer a principled framework for linking computational representations of language to neural activity, but most electroencephalography (EEG) evidence for brain--language alignment comes from tightly controlled, word-by-word reading paradigms. W…
  crossref Haorui Sun, David C Jangraw 2026-08-19T20:25:17Z 置信度 0.82 computer and information sciencescs.aics.lgneuroscienceartificial intelligence
• Nursing Redefined
  crossref Harper Mary G. 2026-02-09T05:00:46Z 置信度 0.63
• Cross-view alignment guided deep anchor multi-view clustering
  crossref Hu Lu, Tong Li, Shengli Wu 2026-07-17T06:46:29Z 置信度 0.63
• Security Implications and DevSecOps Alignment
  Reliability and security are two sides of a coin in current day DevSecOps ecosystems. Flaws in microservices are not only a possible reliability problem but are also latent security vulnerabilities. Fault prediction in the paradigm of smart DevSecOps does not …
  crossref Deepak Sharma, Aamiruddin Syed 2026-06-10T09:14:26Z 置信度 0.82 computer securityai safetycs.cymulti-agent systemscs.et
• Who will pay for the Matrix? Simulation sponsors, AI governance, and the ethics and political economy of digital worlds
  crossref Stephen Topazi 2026-02-22T16:38:51Z 置信度 0.63
• The Ethical Landscape of Generative AI in Education: A Narrative Literature Review Through the Lens of Consequentialism (2022–2026)
  The rapid integration of generative artificial intelligence (GenAI) into education across all sectors has prompted a proliferating body of scholarship addressing the ethical, social, and environmental implications of these technologies. This narrative literatu…
  crossref Edwin Arthur Creely 2026-06-03T06:17:31Z 置信度 0.78 engineering ethicsknowledge managementpsychologytransformative learninggenerative grammar
• Fathom-then-Generate: A Reversible Intent Alignment Protocol for Human-LLM Interaction with Causal Fidelity
  <span>The limitation in current human-LLM interaction: users offer under-specified inputs, while the model compensates for missing information provided by substituting statistical correlations. Causal Override, a machine produces outputs that are fluent …
  crossref Ziwei Ma 2026-03-10T10:05:12Z 置信度 0.82 ai safetycs.aiai governancecomputer sciencecomputer and information sciences
• Not a New NATO: Military Alliances, Quasi-alliances, and the China-Russia-North Korea Alignment
  <div>      The growing convergence among China, Russia, and North Korea is often described as the emergence of a new authoritarian alliance or an anti-Western bloc. This article argues that such descriptions are both analytical…
  crossref Caiping He 2026-07-09T10:27:19Z 置信度 0.82 ai safetypsychologybiologyphysicsbiodiversity
• Cross Platform Taste and the Politics of Alignment: An STS and MCM Analysis of EccoChamber
  EccoChamber is a cross platform music blend system built by the author that connects YouTube Music, SoundCloud, and Audius into a single social layer, letting users on different platforms compare and combine their listening. This paper analyzes the technical d…
  crossref Kepler Pierre 2026-07-29T13:20:22Z 置信度 0.78 social and behavioral sciencescomputer sciencecs.aics.cyengineering
• AI-Driven Personalized Learning in College English Education
  crossref 2026-05-21T10:32:40Z 置信度 0.63
• AI Evidence and Criminal Proceedings
  This open access book establishes, analyses and systemises the challenges that AI evidence poses to fundamental rights and principles of criminal procedure, as well as the rule of law. Taking a four-part approach, distinguished experts contribute chapters on t…
  crossref 2026-02-04T11:41:54Z 置信度 0.78 ai governancecorporate governancepolitical sciencebusinesscs.cy
• Offset-NeAF: Geometric Pre-alignment and OffsetMLP for Robust Angle-Field Normal Estimation
  crossref Yang Xu, Han Wang 2026-01-10T14:38:28Z 置信度 0.63
• Distinguishing between AI assistance and AI discovery in the authorship debate
  A recent editorial by Earp and colleagues at JME Practical Bioethics asked, ‘What should authorship mean in the age of generative AI?’ 1 Here, I follow Earp et al’s criterion (from a separate paper) of ‘substantial human contribution’2 as the defining feature …
  crossref Timothy Daly 2026-08-11T12:05:15Z 置信度 0.78 artificial intelligencegenerative grammarpsychologycs.aics.cy
• Artificial Superintelligence: Beyond Machine Learning and Cognitive AI
  crossref 2026-06-28T00:57:59Z 置信度 0.63
• Health Systems Govern Only the Tip of the AI Iceberg
  crossref Erkin Ötleş, Sara G. Murray, Ashley N. Beecy, Alexander A. Khalessi 等 2026-03-26T13:00:37Z 置信度 0.59
• Implementasi Manajemen Risiko dalam Pengelolaan Sumber Daya Pendidikan untuk Menjamin Keberlanjutan Mutu Pendidikan
  This study aims to analyze the implementation of risk management in educational resource management as a strategy to ensure the sustainability of educational quality. The research method used was a qualitative approach through a Systematic Literature Review (S…
  crossref Siagian Siagian, Baginda Edward, Sihotang Sihotang, Hotmaulina Hotmaulina 2026-03-03T05:02:40Z 置信度 0.78 businessprocess managementknowledge managementsupply chainsystematic review
• Users’ mental models within human–AI interaction: a systematic scoping review
  Abstract AI is rapidly transforming the way humans interact with technology. As we navigate this new landscape, understanding the cognitive processes that guide how users perceive, conceptualize, and rely on AI systems has become an increasingly important fiel…
  crossref Wiebke G. Bodamer, Sanne Schoenmakers, Elena Nuñez Castellar, Wijnand A. IJsselsteijn 2026-05-16T07:44:28Z 置信度 0.82 psychologycognitive sciencecomputer sciencedata sciencecognition
• Effect of an AI Integrated Education Program Applying Action Learning : Focusing on AI Literacy
  crossref Minji Kim 2026-03-27T01:15:52Z 置信度 0.63
• Interpretive Applications
  crossref 2025-12-05T21:31:59Z 置信度 0.59
• Acknowledgment
  crossref 2026-06-19T08:54:02Z 置信度 0.59
• The AI Apocalypse
  Accompanying the proliferation of generative AI have been parallel increases in AI optimist and doomer discourses. Here, Ruby Thelot critiques AI doomerism through an eschatological lens, arguing that the narratives AI doomers trumpet about the impending doom …
  crossref Zach Zinn 2026-02-04T15:06:56Z 置信度 0.71 ai governanceneuromorphic computingcomputational neurosciencecognitive sciencequantum mechanics
• Certifiable Alignment of GNSS and Local Frames via Lagrangian Duality
  Estimating the absolute orientation of a local system relative to a global navigation satellite system (GNSS) reference often suffers from local minima and high dependency on satellite availability. Existing methods for this alignment task rely on abundant sat…
  crossref Baoshan Song, Matthew Giamou, Penggao Yan, Chunxi Xia 等 2026-05-15T19:55:08Z 置信度 0.82 computer and information scienceselectrical engineering, electronic engineering, information engineeringeess.sycs.lgmath.oc
• India’s AI Policies and Postphenomenological Futures
  crossref Vardaan Nayar, Angus McBlane 2026-08-13T23:06:24Z 置信度 0.59
• AI‐Powered Advancements in Autonomous Vehicle Technologies
  Artificial intelligence (AI) is involved in such much development concerning the Autonomous Vehicles (AVs). AVs were simple systems but turned into complex ones capable of navigating through demanding terrains with hardly any support from humans due to AI-base…
  crossref Sachi Choudhary, Prashant Shukla 2026-03-20T21:18:08Z 置信度 0.82 computer scienceartificial intelligencedata scienceengineeringsoftware deployment
• Architecting AI at Scale: Technical Patterns and Platforms
  Every architecture begins with a question of weight: How much intelligence can the earth bear, and at what cost? For years, we have spoken of artificial intelligence as if it lived in the air, an ethereal code moving freely through invisible clouds. But intell…
  crossref Rajnish Harjika 2026-01-27T05:35:09Z 置信度 0.78 ai governanceai safetycognitive scienceneuromorphic computingmulti-agent systems
• Considering Critical AI Literacy in Education: A Collaborative Autoethnography
  This article presents a collaborative autoethnography that investigates the need for a critical lens on the evolving relationships between humans and generative AI technologies, which we argue is central to AI literacy for educators. The study reflects on how …
  crossref Edwin Creely, Kitty Janssen 2026-03-11T20:26:27Z 置信度 0.78 psychologymathematics educationknowledge managementgenerative grammarengineering ethics
• Institutional AI communication: publisher ideology and perceived algorithmic fairness
  crossref Un Chae Chung, Woojin Kim, Seo Yoon Lee, Se Il Park 等 2026-07-20T12:40:20Z 置信度 0.59
• An ethical framework for conversational AI in higher education: toward an evidence-based ethical governance
  crossref Mohammad Mohi Uddin, Jewoong Moon, Stephen Abu 2026-03-16T16:15:05Z 置信度 0.63
• AI-Driven Human-Machine Interaction for Biomedical Engineering
  crossref 2026-04-24T08:29:11Z 置信度 0.59
• 2026 International Conference on AI Innovations and Industry (ICAIII)
  crossref 2026-05-22T19:34:47Z 置信度 0.59
• Designing AI Systems with Value Alignment Mechanisms
  The Rapid Development. In AI, there has been an increasing need for AI systems to be closer to human values and ethical concerns. Conventional models mostly prioritize performance over ethical issues that can cause potential misalignments. This paper overviews…
  crossref Abhignan Srivatsava Sribhashyam, Santosh Gore, Ashish Sharma, Babasaheb Jadhav 等 2026-03-03T20:50:45Z 置信度 0.82 computer sciencecs.aics.lgpsychologyengineering ethics
• FedDAAA: Federated Dynamic Parameter Alignment and Adaptive Aggregation
  crossref Yuhao Chen, Ping Li, Ying He 2026-06-30T20:55:16Z 置信度 0.63
• AI in Breast Cancer Stem Cells and Proteomics
  crossref 2026-06-26T09:47:20Z 置信度 0.59
• The AI Toolkit for Librarians
  How do you integrate AI into the library in an accessible and equitable way? This book shows you how! The AI Toolkit for Librariansoffers a clear and encouraging way to make sense of today’s fast-moving world of artificial intelligence. Written for academic, p…
  crossref Mike McQueen 2026-04-29T09:09:26Z 置信度 0.82 cognitive sciencepsychologysociologybusinessconsciousness
• A Framework of User Experience Principles for Human-AI Agent Interaction in the Workplace
  As AI agents become integral to business workflows, establishing guiding user experience (UX) principles is crucial for ensuring user trust and successful adoption. To address this, our study uses a multi-method approach - combining participatory design worksh…
  arxiv Kathrin Paimann, Elizangela Valarini, Sebastian Juhl 2026-07-22T09:13:12Z 置信度 0.79 cs.HCcs.AI
• Trojaning the Alignment: Stealthy Backdoor Attacks against Graph Foundation Models
  Graph Foundation Models (GFMs) on text-attributed graphs (TAGs) align graph representations with language semantics to support transferable graph learning. Despite these advantages, the backdoor vulnerability of GFMs on TAGs remains insufficiently understood, …
  arxiv Minhua Lin, Zhicheng Gao, Yilong Wang, Hanqing Lu 等 2026-08-21T11:20:35Z 置信度 0.83 cs.LG
• Bridging Protocol and Production: Design Patterns for Deploying AI Agents with Model Context Protocol
  The Model Context Protocol (MCP) standardizes how AI agents discover and invoke external tools, with over 10,000 active servers and 97 million monthly SDK downloads as of early 2026. Yet MCP does not yet standardize how agents safely operate those tools at pro…
  arxiv Vasundra Srinivasan 2026-03-12T17:42:24Z 置信度 0.85 cs.SEcs.AIcs.MA
• Search for Light Scalars in the TRSM at the LHC
  We study the production of Beyond the Standard Model light scalar states in association with a vector boson ($Vh_2$, with $V = W^\pm, Z$) at the LHC. We consider the scenario where the Standard Model scalar sector is extended by two real scalar singlets, where…
  crossref Aman Desai, Kristin Lohwasser, Mohamed Ouchemhou, Tania Robens 等 2026-03-31T08:00:03Z 置信度 0.74 hep-ph
• LOGER: Local--Global Ensemble for Robust Deepfake Detection in the Wild
  Robust deepfake detection in the wild remains challenging due to the ever-growing variety of manipulation techniques and uncontrolled real-world degradations. Forensic cues for deepfake detection reside at two complementary levels: global-level anomalies in se…
  arxiv Fei Wu, Dagong Lu, Mufeng Yao, Xinlei Xu 等 2026-04-04T02:56:11Z 置信度 0.83 cs.CV
• PATRA: Pattern-Aware Alignment and Balanced Reasoning for Time Series Question Answering
  Time series reasoning demands both the perception of complex dynamics and logical depth. However, existing LLM-based approaches exhibit two limitations: they often treat time series merely as text or images, failing to capture the patterns like trends and seas…
  arxiv Junkai Lu, Peng Chen, Xingjian Wu, Yang Shu 等 2026-02-26T16:20:03Z 置信度 0.83 cs.AI
• Unlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series Forecasting
  Existing time series forecasting methods primarily rely on the numerical data itself. However, real-world time series exhibit complex patterns associated with multimodal information, making them difficult to predict with numerical data alone. While several mul…
  arxiv Siyuan Wang, Peng Chen, Yihang Wang, Wanghui Qiu 等 2026-03-16T15:51:26Z 置信度 0.83 cs.AI
• Automated Analysis of Global AI Safety Initiatives: A Taxonomy-Driven LLM Approach
  We present an automated crosswalk framework that compares an AI safety policy document pair under a shared taxonomy of activities. Using the activity categories defined in Activity Map on AI Safety as fixed aspects, the system extracts and maps relevant activi…
  crossref Takayuki Semitsu, Naoto Kiribuchi, Kengo Zenitani 2026-04-04T01:02:15Z 置信度 0.83 cs.AI
• End-to-End O-RAN Testbed for Edge-AI-Enabled 5G/6G Connected Industrial Robotics
  Connected robotics is one of the principal use cases driving the transition towards more intelligent and capable 6G mobile cellular networks. Replacing wired connections with highly reliable, high-throughput, and low-latency 5G/6G radio interfaces enables robo…
  arxiv Sasa Talosi, Vladimir Vincan, Srdjan Sobot, Goran Martic 等 2026-03-13T20:14:32Z 置信度 0.83 cs.ROcs.NI
• Enhancing Value Alignment of LLMs with Multi-agent system and Combinatorial Fusion
  Aligning large language models (LLMs) with human values is a central challenge for ensuring trustworthy and safe deployment. While existing methods such as Reinforcement Learning from Human Feedback (RLHF) and its variants have improved alignment, they often r…
  crossref Yuanhong Wu, Djallel Bouneffouf, D. Frank Hsu 2026-03-11T14:57:51Z 置信度 0.83 cs.MAcs.CL
• Determinantal point process sampling for bioacoustic active learning
  Eco-acoustic monitoring generates vast volumes of audio data, making active learning a promising approach for reducing annotation effort while efficiently training reliable biodiversity classifiers. This report presents CARE-DPP, a batch active-learning acquis…
  arxiv Hugo Magaldi, Gabriel Dubus 2026-07-07T09:35:53Z 置信度 0.83 cs.SDcs.LG
• The Art of (Mis)alignment: How Fine-Tuning Methods Effectively Misalign and Realign LLMs in Post-Training
  The deployment of large language models (LLMs) raises significant ethical and safety concerns. While LLM alignment techniques are adopted to improve model safety and trustworthiness, adversaries can exploit these techniques to undermine safety for malicious pu…
  crossref Rui Zhang, Hongwei Li, Yun Shen, Xinyue Shen 等 2026-04-09T03:20:29Z 置信度 0.83 cs.CRcs.CL
• Cross-Instance Gaussian Splatting Registration via Geometry-Aware Feature-Guided Alignment
  We present Gaussian Splatting Alignment (GSA), a novel method for aligning two independent 3D Gaussian Splatting (3DGS) models via a similarity transformation (rotation, translation, and scale), even when they are of different objects in the same category (e.g…
  arxiv Roy Amoyal, Oren Freifeld, Chaim Baskin 2026-03-23T12:53:57Z 置信度 0.83 cs.CV
• CodeBind: Decoupled Representation Learning for Multimodal Alignment with Unified Compositional Codebook
  Multimodal representation alignment is pivotal for large language models and robotics. Traditional methods are often hindered by cross-modal information discrepancies and data scarcity, leading to suboptimal alignment spaces that overlook modality-unique featu…
  crossref Zeyu Chen, Jie Li, Kai Han 2026-05-18T11:56:19Z 置信度 0.85 cs.CVcs.AIcs.CL
• Does My Chatbot Have an Agenda? Understanding Human and AI Agency in Human-Human-like Chatbot Interaction
  As AI chatbots shift from tools to companions, critical questions arise: who controls the conversation in human-AI chatrooms? This paper explores perceived human and AI agency in sustained conversation. We report a month-long longitudinal study with 22 adults …
  crossref Bhada Yun, Evgenia Taranova, April Yi Wang 2026-01-30T01:42:32Z 置信度 0.83 cs.HCcs.AI
• Position: Stop Preaching and Start Practising Data Frugality for Responsible Development of AI
  This position paper argues that the machine learning community must move from preaching to practising data frugality for responsible artificial intelligence (AI) development. For too long, progress has been equated with ever-larger datasets, driving remarkable…
  arxiv Sophia N. Wilson, Andrew Millard, Guðrún Fjóla Guðmundsdóttir, Raghavendra Selvan 等 2026-02-23T12:46:23Z 置信度 0.83 cs.LGcs.CY
• Cultural Value Alignment Via Latent Activation Steering in Large Language Models
  Large Language Models (LLMs) often exhibit homogenized cultural perspectives. While the World Values Survey (WVS) provides a gold standard for mapping human values, traditional direct prompting of LLMs on WVS often fails to access the model's latent cultural d…
  arxiv Trung Duc Anh Dang, Sarah Masud 2026-05-25T22:20:52Z 置信度 0.83 cs.CL
• LoSA-Net: A Localized and Scale-Adaptive Network for Boundary-Sensitive Prediction of Perineural Invasion in 3D MRI
  Perineural invasion (PNI) is a clinically relevant indicator of tumor aggressiveness and can influence surgical decision-making, motivating interest in reliable preoperative assessment. The subtle MRI features of PNI, however, often resemble nearby anatomy, co…
  crossref Youngung Han, Hyunsu Go, Kyeonghun Kim, Induk Um 等 2026-07-13T01:31:01Z 置信度 0.83 cs.CVcs.AI