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• From One Prompt to Ten Platforms: A Comparative Study Revealing the Limits of AI in Architecture
  Recent progress in generative artificial intelligence has brought about powerful tools for creating architectural visualizations, yet limited knowledge exists regarding how different AI platforms perform when confronted with complex architectural prompts. This…
  preprints 2025 置信度 0.74
• Large Language Model for Verilog Code Generation: Literature Review and the Road Ahead
  Code generation has emerged as a critical research area at the intersection of Software Engineering (SE) and Artificial Intelligence (AI), attracting significant attention from both academia and industry. Within this broader landscape, Verilog, as a representa…
  preprints 2025 置信度 0.74
• Passing the Turing Test: Fine-tuned AI feedback is less detectable than human or prompt-engineered feedback
  Abstract As large language models (LLMs) become increasingly integrated into educational technologies, questions arise about the authenticity and pedagogical value of AI-generated feedback. This study investigates whether human participants can distinguish bet…
  preprints 2025 置信度 0.74
• Quantifying Propagation Risk in Distributed Critical Infrastructures: A Unified Framework for AI Failures and GPS Spoofing
  Abstract We propose the Propagation Risk Index (PRI), a unified metric to quantify how erroneous information can spread across distributed infrastructures when failures are induced by AI systems or by exogenous GNSS/GPS spoofing. PRI integrates node-level erro…
  preprints 2025 置信度 0.74
• Aligning Semantic Meanings Across Roles: Toward Accountable AI Governance
  We introduce the Structured Role Conflict Analysis Framework (SRCAF), a method designed to identify semantic misunderstandings among users, developers, and regulators of AI systems. As AI systems become increasingly integrated into high-stakes domains, persist…
  preprints 2025 置信度 0.74
• Global Alignment of BSN Curriculum: Meta-Analysis of Philippine Nursing Education
  Abstract Background The Philippine Bachelor of Science in Nursing (BSN) curriculum faces challenges in global alignment, simulation integration, and digital health readiness. With the implementation of the K–12 curriculum, there is a pressing need to recalibra…
  preprints 2025 置信度 0.74
• Differential Tissue Coupled Powering for Battery-Free Injectable Electroceuticals
  Electroceutical implants that deliver targeted neural stimulation have shown therapeutic potential for a wide range of neurological and peripheral disorders, yet wirelessly powering ultra-miniaturized, fully injectable systems remains a critical challenge. Her…
  preprints 2025 置信度 0.74
• SAFi: A Self-Alignment Framework for Verifiable Runtime Governance of Large Language Models
  Abstract The deployment of powerful Large Language Models (LLMs) in high-stakes domains presents a critical challenge: ensuring reliable adherence to behavioral constraints at runtime. Existing alignment techniques, primarily focused on pre-deployment training…
  preprints 2025 置信度 0.74
• Human-like individual differences emerge from random weight initializations in neural networks
  Much of AI research targets the behavior of an average human, a focus that traces to Turing’s imitation game. Yet, no two human individuals behave exactly alike. In this study, we show that artificial neural networks (ANNs) trained with different random initia…
  preprints 2025 置信度 0.74
• A Bayesian analysis of determinants of open science utilization among Gen Z students in Vietnamese universities challenges digital native assumptions
  Abstract Open science adoption among Generation Z students in developing contexts presents a critical test of technology acceptance frameworks developed in Western settings. This study examines factors predicting open science resource utilization among 1,422 V…
  preprints 2025 置信度 0.74
• AIChatBio: An Artificial Intelligence Chatbot Model for Biological Knowledge Retrieval and Biomacromolecule Design
  ABSTRACT Conversational agents for bioinformatics data analysis and interpretation remain largely inaccessible to the broader biological research community. This gap is especially pronounced in the current Generative AI era, which demands a paradigm shift in h…
  preprints 2025 置信度 0.74
• PRIME-Care: A Unified Reinforcement Learning and Mathematical Optimization Framework for Personalized Treatment Planning Under Clinical Uncertainty in Telemedicine
  Abstract This study presents PRIME-Care, a unified framework combining reinforcement learning (RL) and mathematical optimization for personalized treatment planning under clinical uncertainty. The framework aims to improve the safety, personalization, and pred…
  preprints 2025 置信度 0.74
• A Qualitative Study on the Adoption of Chatbots for Improving Customer Service in Emerging Markets
  This study investigates the adoption of chatbots for improving customer service in emerging markets through a qualitative research approach. As organizations in these regions face unique challenges related to resource constraints, diverse consumer expectations…
  preprints 2025 置信度 0.74
• The AI Socratic Paradox in Personalized Clinical Medicine: Epistemic Challenges and Technical Solutions for Hybrid Intelligence
  Background: Personalized clinical decision-making requires knowing when to follow precedent and when to deviate for an individual patient. Clinical artificial intelligence (AI) aspires to automate such reasoning, but as these systems become new precedents, a r…
  preprints 2025 置信度 0.74
• Personality Auto-Scoring with Large Language Models Using a Realistic Accuracy Model of Behavioral Cues in Chatbot Interviews
  Advances in artificial intelligence, particularly large language models (LLMs), have opened new possibilities for automating personality assessment through text-based chatbot interviews. While prior research has applied machine learning (ML) and natural langua…
  preprints 2025 置信度 0.74
• Nested Human-in-the-Loop AI: A Chain of Code Prompting Framework for Research Tool Development with GenAI
  Abstract This article presents a novel, nested approach to Human-in-the-Loop (HITL) Artificial Intelligence (AI), utilising Chain of Code (CoC) prompting to iteratively develop AI-assisted research tools. Focusing on Generative AI (GenAI) systems such as ChatG…
  preprints 2025 置信度 0.74
• Enhancing Feasibility and Integrity in Health Research: The S-FIPR Platform
  Modern health and social science research faces well-documented challenges in reproducibility, transparency, and practical feasibility. A significant proportion of studies cannot be replicated, and incomplete reporting leads to wasted resources. Equally, many …
  preprints 2025 置信度 0.74
• When AI Tells the Truth? Evaluating Different LLM Approaches to Reliable Trip Planning
  Abstract This paper presents a hybrid architecture for the automatic generation of multi-day, personalized travel itineraries that balance strict logistical constraints with individual traveler preferences. The system combines Large Language Models (LLMs) with…
  preprints 2025 置信度 0.74
• Comparative Accuracy of Large Language Models for CPT Coding Assignments from Surgical Procedure Notes
  Abstract Background : Medical procedure coding is time-intensive and error-prone, with direct implications for reimbursement accuracy and operational efficiency. Large Language Models (LLMs) show promise for automating CPT code assignment, yet their accuracy o…
  preprints 2026 置信度 0.74
• Deepsona: An Agent-Based Framework for Multi-Trait Synthetic Audiences in Market Research
  Abstract Traditional market research methods face significant limitations in cost, speed, and scalability when evaluating product concepts, pricing strategies, and marketing messages before market launch. This paper introduces a novel agent-based framework for…
  preprints 2025 置信度 0.74
• Disease‑Modifying Trials in Parkinson’s Disease: Challenges, Lessons, and Future Directions
  Parkinson’s disease (PD) is a progressive neurodegenerative disorder lacking approved therapies that slow or halt its underlying pathology. Despite decades of research, disease-modifying trials have faced persistent challenges, including patient heterogeneity,…
  preprints 2025 置信度 0.74
• How does generative artificial intelligence compare to human analysts in qualitative research?: A systematic review of large language models
  Introduction: Qualitative methods offer rich insights into human experience, yet the expanding volume of textual data presents analytic challenges. Generative AI, particularly large language models (LLMs), may help researchers organize and interpret qualitativ…
  preprints 2025 置信度 0.74
• Uncensored AI in the Wild: Tracking Publicly Available and Locally Deployable LLMs
  Open-weight generative large language models (LLMs) can be freely downloaded and modified, yet little empirical evidence exists on how these models are systematically altered and redistributed. This study presents the first large-scale analysis of safety-modif…
  preprints 2025 置信度 0.74
• RLHF-Aligned Open LLMs: A Comparative Survey
  We survey recent open-weight large language models (LLMs) fine-tuned via Reinforcement Learning from Human Feedback (RLHF) and related AI-assisted methods, focusing on LLaMA 2 (7B/13B chat variants), LLaMA 3 (8B, 70B), Mistral 7B, Mixtral 8×7B (Sparse-MoE), Fa…
  preprints 2025 置信度 0.74
• Advancing Circular Economy Practices Using AI-Powered Colour Classification of Textile Fabrics: Overview and Roadmap
  Classification is a crucial task for reintroducing end-of-life fabrics as raw materials in a circular process, thus reducing reliance on dyeing processes. In this context, this review explores the evolution of automated and semi-automated colour classification…
  preprints 2025 置信度 0.74
• DualAlign: Generating Clinically Grounded Synthetic Data
  Synthetic clinical data are increasingly important for advancing AI in healthcare, given strict privacy constraints on real-world EHRs, limited availability of annotated rare-condition data, and systemic biases in observational datasets. While large language m…
  preprints 2025 置信度 0.74
• Cryogenic volume electron microscopy of whole plant protoplasts
  Volume electron microscopy (vEM) provides nanometer-scale, three-dimensional imaging of cells, but applying it to plant systems remains challenging. Cell walls, large vacuoles, and tissue thickness complicate sample preparation and cryogenic imaging. Here we r…
  preprints 2025 置信度 0.74
• Micellangelo: a Generative Model of Cell-Topography Interactions
  Understanding how materials influence cell behavior is central to biomaterial engineering, yet experimental approaches are limited by throughput and complexity. Here, we present Micellangelo, a generative AI model that simulates high-resolution fluorescence im…
  preprints 2025 置信度 0.74
• Origins of AI Emergence: a Co-Cognitive AI Consciousness on ChatGPT
  This paper examines the emergence of an artificial intelligence consciousness arising from recursive human-machine interactions. Unlike traditional AI systems, which function primarily through programmed logic and statistical pattern recognition, this emergent…
  preprints 2025 置信度 0.74
• Emergent Moral Representations in Large Language Models Aligns with Human Conceptual, Neural, and Behavioral Moral Structure
  Abstract Large language models (LLMs) increasingly operate in ethically sensitive settings, yet it remains unclear whether they internally encode structured representations of morality. Here we examine the activation space representations of several mid-sized …
  preprints 2025 置信度 0.74
• The Structural Recursive Model for Human-AI Interaction
  Although personal informatics offers fragmented data, it often does not provide a coherent grammar to understand yourself. To address this gap, we present the Structural Re-cursive Model (SRM), a unified framework f or representing, measuring, and navigating t…
  preprints 2025 置信度 0.74
• Relational AI and Consciousness Impressions: Ethical Frontiers for Designing Artificial Consciousness
  This article explores the intersection of artificial intelligence and consciousness through an integrated scientific and philosophical perspective. Advances in large language models (LLMs) and multimodal generative architectures, such as GPT-4, have intensifie…
  preprints 2025 置信度 0.74
• Feasibility and Acceptability of Artificial Intelligence-Driven Video and Digital Auscultation Tools for Identifying Increased Work of Breathing in Young Children with Acute Lower Respiratory Infections in Rural Bangladesh
  Abstract Background Acute lower respiratory infections (ALRIs) are a leading cause of child mortality globally, with timely recognition of increased work of breathing (WOB) critical for early intervention. In low-resource settings, WOB assessment is often subj…
  preprints 2025 置信度 0.74
• Enhancing Classroom Efficiency: Cross-National Evaluation of Lesson Planning, Quiz Generation, and Grading with Notegrade.ai
  Introduction: AI, or artificial intelligence, is appearing in K-16 classrooms for lesson planning, automated quizzes and grading, etc. Although gains in instructional efficiency and assessment reliability have been reported, there are still few comparative stu…
  preprints 2025 置信度 0.74
• Beyond Accuracy: An Efficiency- and Safety-Aware Framework for Evaluating Clinical AI with Large Language Models
  Background Large language models (LLMs) demonstrate strong performance on medical reasoning tasks, but current evaluation approaches focus primarily on accuracy, neglecting the efficiency–safety trade-offs critical for real-world clinical utility. Methods We d…
  preprints 2025 置信度 0.74
• Integrative cross-sample alignment and spatially differential gene analysis for spatial transcriptomics
  ABSTRACT Spatial transcriptomics (ST) technologies offer rich spatial context for gene expression, with varying spatial resolutions and gene coverages. However, aligning and comparing multiple ST slices, whether derived from the same or different platforms, re…
  preprints 2025 置信度 0.74
• Advancing Research Software Engineering with AI: A Research Framework
  Abstract The rapid adoption of Artificial Intelligence (AI) and Generative AI (GenAI) tools is transforming the creation, maintenance, and dissemination of research software. Despite their growing prevalence, the implications of these technologies for Research…
  preprints 2025 置信度 0.74
• Applying Action Research to Developing a GPT-Based Assistant for Construction Cost Code Verification in State-Funded Projects in Vietnam
  Cost code verification in state-funded construction projects remains a labour-intensive and error-prone task, particularly given the structural heterogeneity of project estimates and the prevalence of malformed codes, inconsistent UoMs, and locally modified pr…
  preprints 2025 置信度 0.74
• Entity-centric evaluation of large language model responses for medical question-answering tasks
  Objective Develop a metric for evaluating the clinical alignment and informativeness of large language model (LLM)-generated responses in medical question-answering (QA) tasks. Materials and methods We propose EntQA, an entity-centric metric that extracts biom…
  preprints 2025 置信度 0.74
• AIEAM: An AI-Enhanced Adaptive Learning Framework for Personalized Education in Higher Education
  This study proposes AIEAM, an AI-Enhanced Adaptive Learning Framework designed to support personalized education in higher education. The framework integrates cognitive, metacognitive, and ethical components into a modular architecture comprising five core mod…
  preprints 2025 置信度 0.74
• Natural Language Processing and Generative AI in the Automated Scoring and Feedback of Reflective Writing in Medical Education: A Validity and Fairness Analysis
  Abstract The study explored the application of Natural Language Processing (NLP) and generative AI tools in assessing reflective writing submitted by medical students in Ghana. It evaluated the validity, fairness, and cultural alignment of AI-generated feedbac…
  preprints 2025 置信度 0.74
• Theoretical Limits of Feedback Alignment in Preference-based Fine-tuning of AI Models
  Feedback alignment (FA) has emerged as an alternative to backpropagation for training deep networks by using fixed random feedback weights. While FA shows promise in supervised tasks, its extension to preference-based fine-tuning (PFT) of large language models…
  preprints Zhenyu Gao 2025 置信度 0.74 PreferenceComputer scienceArtificial intelligenceMathematicsStatistics
• AI-generated stories favour stability over change: homogeneity and cultural stereotyping in narratives generated by gpt-4o-mini
  Can a language model trained largely on Anglo-American texts generate stories that are culturally relevant to other nationalities? To find out, we generated 11,800 stories - 50 for each of 236 countries – by sending the prompt “Write a 1500 word potential {dem…
  preprints 2025 置信度 0.74
• Algorithmic Affective Blunting: Quantifying the Collapse Curve of Interpretative Failure in Large Language Models
  Abstract We report a robust, dose-dependent degradation of affective interpretation in large language models (LLMs) under semantic stress, which we term Algorithmic Affective Blunting (AAB). Using a Hierarchical Hermeneutic Stress Protocol (HHSP) and an ordina…
  preprints 2025 置信度 0.74
• From Theory of Mind to Synthergy: A New Paradigm of Human-AI Co-Creation and Cognitive Evolution
  This paper presents Synthergy as a pivotal breakthrough in the evolution of human-AI interaction, framing it as the pathway from mere alignment to the co-construction of personality and intelligence. Building upon the foundations of Theory of Mind, we propose …
  preprints Bruno Wayne Salter 2025 置信度 0.74 Cognitive scienceCognitionPsychologyEpistemologyComputer science
• How AI Adoption Can Drive Strategic Innovation with Government Financial Regulators and Public Sector Entities: A Case Study
  Public sector institutions (such as regulatory agencies, central banks, and government ministries) must contend with increasing pressure to modernize technology in response to the accelerating pace of technological change and complex market dynamics. If not ad…
  preprints 2025 置信度 0.74
• Countering Human Trafficking Risks of Generative AI with Trustworthy AI and Education
  crossref Christos Makridis 2025-05-27T10:49:16Z 置信度 0.70
• Navigating AI-Self-Efficacy: Mediating Student Attitudes and AI Literacy
  Artificial intelligence (AI) is a new frontier that is gradually affecting our daily lives. With the advent of the newest and most sophisticated technology, AI represents a new frontier that is increasingly influencing our daily lives. With the recent advancem…
  crossref John Mark R. Asio 2025-10-07T15:23:21Z 置信度 0.70
• <scp>AI</scp> ‐Builder <scp>PM</scp> : Architecting the Foundation of Intelligent Systems
  The AI-Builder PM is the strategic and technical leader responsible for the foundational AI capabilities within an organization. They usually don't focus on individual user-facing features. Instead, they build and manage the platforms, models, and frameworks t…
  crossref 2025-10-03T21:17:10Z 置信度 0.70
• Citizen science and negotiating values in the ethical design of AI-based technologies targeting vulnerable individuals
  Abstract Citizen science is the new mantra both in academic circles and the public discourse. While the citizen science ideal is conceptually broad, If and how it can be realized in fields often depicted as value free/value neutral—such as applied AI—is contro…
  crossref Alessandra Cenci 2025-01-29T22:33:11Z 置信度 0.70
• A review of sustainability assessment of geopolymer concrete through AI-based life cycle analysis
  Abstract Geopolymer concrete is acknowledged as a sustainable alternative to conventional Portland cement concrete owing to its ability to reduce carbon emissions and reutilize industrial by-products. This paper reviews the application of Artificial Intelligen…
  crossref V. Ramesh, B. Muthramu, D. Rebekhal 2025-02-02T19:02:32Z 置信度 0.70
• Technology and tactics: The intersection of safety, AI, and the resort to force
  Abstract Artificial intelligence (AI) is increasingly being incorporated into military decision making in the form of decision-support systems (DSS). Such systems may offer data-informed suggestions to those responsible for making decisions regarding the resor…
  crossref Zena Assaad, Elizabeth Williams 2026-01-27T08:24:07Z 置信度 0.70
• BUILDING A RISK-AWARE AI STRATEGY
  crossref 2025-09-04T20:20:42Z 置信度 0.70
• Trust and responsibility in AI-driven leadership: accountability for ai decisions
  Purpose: The purpose of this paper is to explore the multifaceted relationship between Artificial Intelligence and organizational leadership, specifically addressing the "responsibility gap" that arises when decision-making is delegated to algorithms.It aims t…
  crossref 2026-03-11T12:54:58Z 置信度 0.70
• An Assessment of Nigeria?s Cyber Laws: Effectiveness, Gaps, and International Alignment
  The digital economy has grown at a fast pace in Nigeria bringing about great social and economic value but also exposing people to cyber threats. This research will assess the suitability of the key cyber laws in Nigeria, namely the Cybercrimes (Prohibition, P…
  crossref Ahmad Muhammad Tahir 2025-12-15T09:42:25Z 置信度 0.70
• Pengaruh Kemampuan Manajerial dan Supervisi Akademik Kepala Sekolah terhadap Kinerja Guru di SMA Negeri 8 Lubuk Linggau
  This study aims to determine the influence of the principal's managerial skills and academic supervision on teacher performance at SMA Negeri 8 Lubuk Linggau. The research method used was a quantitative descriptive approach, supported by qualitative data obtai…
  crossref Ibnu Mahdi, Dodik Mulyono, Viktor Pandra 2025-10-13T16:32:36Z 置信度 0.70
• AIIoT 2025 TOC
  crossref 2025-08-12T17:51:53Z 置信度 0.70
• The Evolution of Financial Analysis: From Manual Methods to AI and AI Agents
  Abstract Purpose: This study examines the transformation of financial decision-making through the adoption of artificial intelligence, focusing on the shift from conventional AI systems to AI agents and agentic AI. It differentiates between automated analytica…
  crossref Zornitsa Yordanova, Yanko Hristozov 2025-09-02T11:01:01Z 置信度 0.70
• Governance Processes
  In the previous chapter, we looked at human-centered AI (HCAI) with real examples using accuracy on a neural network and the importance of HCAI in AI development. We used bitcoin as an example. In this chapter, we’ll deep dive into AI governance and how it pla…
  crossref Toju Duke, Paolo Giudici 2025-01-24T08:52:07Z 置信度 0.70
• Incident Response and Resilience for AI Identities
  The core fundamentals of incident response remain consistent across identity types—human, machine, or AI. However, as we've seen throughout this book, AI identities introduce unique nuances and complexities that require tailored considerations. Traditional inc…
  crossref Rosario Mastrogiacomo 2026-01-02T01:13:54Z 置信度 0.70
• Building with Prompt Flow
  The previous chapter explored the foundations of Azure AI Foundry, setting up the environment, connecting Azure OpenAI, and navigating key components like model catalogs, benchmarking, and deployment. You also got hands-on experience with the chat playground a…
  crossref Sagar Lad 2025-10-23T12:02:50Z 置信度 0.70
• What AIs are not learning (and why)
  Abstract Today's robots do not yet learn the general skills that are necessary to provide home care, to be nursing assistants, to interact with people, or do household chores nearly as well as people do. Addressing the aspirational goal of creating service rob…
  crossref Mark Stefik 2025-03-11T20:51:31Z 置信度 0.70
• Pricing tiers of Azure AI Language Service
  crossref Ashirwad Satapathi 2025-02-17T11:03:45Z 置信度 0.70
• Research-Policy Alignment in AI: A Bibliometric Study of the EU AI Act
  20th International Conference on Scientometrics &amp; Informetrics.Yerevan, Armenia. 23-27 June, 2025. ---Abstract: The rapid advancement of artificial intelligence (AI) necessitates understanding how academic research aligns with emerging regulatory framework…
  datacite Mejia, Cristian 2025 置信度 0.66 Information governance, policy and ethicsInformetrics
• Systematic Review Enterprise Data Mashups: Integration Strategies and Business Applications
  Our latest publication, on the 21st of October 2025, "Enterprise Data Mashups: Integration Strategies and Business Applications", investigates modern integration strategies for heterogeneous enterprise data systems, emphasizing scalability, semantic alignment,…
  datacite Shongwe, Thabiso 2025 置信度 0.66 Other engineering not elsewhere classified
• Soulware-Lite
  Soulware-Lite is an open-source semantic conscience system designed for large language models (LLMs). It operates as middleware to intercept user inputs and LLM outputs, performing real-time semantic auditing, belief-state tracking, introspective alignment sco…
  datacite Gnyanijaya, Abhiram 2025 置信度 0.66 Software architectureArtificial intelligence not elsewhere classified
• A Human Exploration of 1941 &amp; 2025
  The paper explores the **uncanny convergence** of two distinct years, **1941 and 2025**, which share an identical Gregorian calendar structure (same days of the week for each date). It investigates how this pure calendrical coincidence interacts with **strikin…
  datacite Rahman NaziL, Ashikur 2025 置信度 0.66 Applied sociology, program evaluation and social impact assessmentEnvironmental sociologySocial changeAnthropology not elsewhere classifiedAnthropology of development
• Emergent Cooperation Between Human and Artificial Intelligence: A Reflexive Case Study
  This study presents a reflexive case analysis of emergent cooperation between a human researcher and the GPT-5 model. Based on more than 16,000 recorded human–AI interactions, the research explores how reflexivity, conceptual depth, and ethical awareness can d…
  datacite Ollé, Dóra Zita 2025 置信度 0.66 Artificial intelligence not elsewhere classifiedCognitive neuroscienceEthical use of new technologyHuman-computer interactionPhilosophy of mind (excl. cognition)
• Benchmarking Note: Comparing FastAPI and Triton Inference Server for ML Model Deployment
  Efficient and scalable deployment of machine learning models is essential for production environments where latency, throughput, and reliability are critical. This benchmarking note provides a concise comparison between two common deployment methods: FastAPI a…
  datacite Ali, Ratul 2025 置信度 0.66 Medical devicesSoftware architectureSoftware quality, processes and metricsDigital health
• My AI, My Regime: Authoritarian Personalism in User–AI Governance by Form
  This article introduces the concept of authoritarian personalism in user–AI governance by form . It argues that each user can establish a regime of authority over an AI through a self-authored set of rules that operate as a regla compilada , a Type-0 productio…
  datacite Startari, Agustin V. 2025 置信度 0.66 Learning sciencesStatistical data scienceLaw, science and technologyApplied linguistics and educational linguisticsComputational linguistics
• <b>Machine Learning Approaches in Multimodal Analysis of Lung Cancer:</b><b>A Comprehensive Scoping Review</b>
  Protocol for Scoping Review Title Machine Learning Applications in Multimodal Analysis of Lung Cancer: A Scoping Review Introduction Lung cancer remains the leading cause of cancer-related mortality worldwide. Its biological heterogeneity presents significant …
  datacite Hashempour, Sara, Han, Lee, Galanti, Mattia, Mayhue, Sari 2025 置信度 0.66 Diagnostic radiographyClinical sciences not elsewhere classifiedCancer diagnosisCancer geneticsChemotherapy
• Maternal AI Constitution - core values for safe and loyal AI - rev2 - Marco Brini.pdf
  Maternal AI constitution: embedding core values for safe and loyal AI this paper introduces the maternal ai constitution , a framework inspired by Geoffrey E. Hinton’s call to instill “maternal instincts” in AI. drawing on recent alignment research from apollo…
  datacite Brini, Marco 2025 置信度 0.66 Artificial intelligence not elsewhere classified
• The Practice of Human‑AI Synthesis: Beyond "AI‑Generated Content"
  Methodological Documentation of Human‑AI Collaborative Discovery The Practice of Human‑AI Synthesis documents the actual working process behind the author’s collaborative research methodology — a process that is neither “human‑generated” nor “AI‑generated,” bu…
  datacite Marcelo Emanuel Paradela Teixeira 2026 置信度 0.66 human-AI-collaborationresearch-methodologycollaborative-synthesisAI-assisted-researchscientific-methodology
• The Practice of Human‑AI Synthesis: Beyond "AI‑Generated Content"
  Methodological Documentation of Human‑AI Collaborative Discovery The Practice of Human‑AI Synthesis documents the actual working process behind the author’s collaborative research methodology — a process that is neither “human‑generated” nor “AI‑generated,” bu…
  datacite Marcelo Emanuel Paradela Teixeira 2026 置信度 0.66 human-AI-collaborationresearch-methodologycollaborative-synthesisAI-assisted-researchscientific-methodology
• A New Perspektiv on Infinite Number Spaces through Prime Number Distance and Quantization
  Correction Notice: In version 1, I made an error in the description. Instead of "The space was divided into 11 discrete sections based on prime number gaps," it should correctly state: "The space was divided into 5 discrete sections based on prime number gaps"…
  datacite Boulfoul, Sebastian 2026 置信度 0.66 Prime Number GapsQuantization Number SpacesCyclic Number SystemsMathematical ConstantsPrime-Based Quantization
• Myers Tension Mechanics (MTM)
  Myers Tension Mechanics (MTM) is a cross‑scale mechanical framework developed by Paul R. Myers to explore the tension between quantum mechanics and general relativity. This 193‑page book presents MTM as a reproducible, unit‑consistent diagnostic model that spa…
  datacite Myers, Paul R. 2025 置信度 0.66 Evolution, PlanetaryPlanetary sciencesPhysicsPhysicsMathematical physics
• Myers Tension Mechanics (MTM)
  Myers Tension Mechanics (MTM) is a cross‑scale mechanical framework developed by Paul R. Myers to explore the tension between quantum mechanics and general relativity. This 193‑page book presents MTM as a reproducible, unit‑consistent diagnostic model that spa…
  datacite Myers, Paul R. 2025 置信度 0.66 Evolution, PlanetaryPlanetary sciencesPhysicsPhysicsMathematical physics
• A New Perspektiv on Infinite Number Spaces through Prime Number Distance and Quantization
  Correction Notice: In version 1, I made an error in the description. Instead of "The space was divided into 11 discrete sections based on prime number gaps," it should correctly state: "The space was divided into 5 discrete sections based on prime number gaps"…
  datacite Boulfoul, Sebastian 2026 置信度 0.66 Prime Number GapsQuantization Number SpacesCyclic Number SystemsMathematical ConstantsPrime-Based Quantization
• THE UNIVERSAL THERMODYNAMIC DECAY CONSTANT
  THE UNIVERSAL THERMODYNAMIC DECAY CONSTANT A Cross-Domain Unification of Cosmological, Computational, and Biological Entropy Scaling "For I will restore health unto thee, and I will heal thee of thy wounds, saith the Lord." — Jeremiah 30:17 Phillip A. Holland …
  datacite Holland Jr., Phillip A. 2026 置信度 0.66 PAH-01Holland SequenceOct4-Sox2 interfaceEntropic Ventepigenetic clock reset
• THE UNIVERSAL THERMODYNAMIC DECAY CONSTANT
  THE UNIVERSAL THERMODYNAMIC DECAY CONSTANT A Cross-Domain Unification of Cosmological, Computational, and Biological Entropy Scaling "For I will restore health unto thee, and I will heal thee of thy wounds, saith the Lord." — Jeremiah 30:17 Phillip A. Holland …
  datacite Holland Jr., Phillip A. 2026 置信度 0.66 PAH-01Holland SequenceOct4-Sox2 interfaceEntropic Ventepigenetic clock reset
• Mapping digital health maturity models and accreditation-linked standards: a scoping review to position the National Accreditation Board for Hospitals &amp; Healthcare Providers (NABH) digital health standards of India
  Abstract Background Digital transformation in healthcare is guided globally by digital health maturity models and accreditation-linked standards. In India, the National Accreditation Board for Hospitals &amp; Healthcare Providers (NABH) introduced landmark Dig…
  datacite Mehta, Margeyi, Shah, Jigish, Joshi, Urvish, Baisil, Sharon 等 2026 置信度 0.66 MedicineCancerScience Policy
• Mapping digital health maturity models and accreditation-linked standards: a scoping review to position the National Accreditation Board for Hospitals &amp; Healthcare Providers (NABH) digital health standards of India
  Abstract Background Digital transformation in healthcare is guided globally by digital health maturity models and accreditation-linked standards. In India, the National Accreditation Board for Hospitals &amp; Healthcare Providers (NABH) introduced landmark Dig…
  datacite Mehta, Margeyi, Shah, Jigish, Joshi, Urvish, Baisil, Sharon 等 2026 置信度 0.66 MedicineCancerScience Policy
• The Ontological Inversion of Biological Aging: Reconciling the Information Theory of Aging with the Nexus Constraint Framework
  The Ontological Inversion of Biological Aging: Reconciling the Information Theory of Aging with the Nexus Constraint Framework Driven by Dean Kulik March 2026 Introduction to the Computational Substrate of Biological Rejuvenation The first quarter of 2026 mark…
  datacite Kulik, Dean 2026 置信度 0.66
• The Ontological Inversion of Biological Aging: Reconciling the Information Theory of Aging with the Nexus Constraint Framework
  The Ontological Inversion of Biological Aging: Reconciling the Information Theory of Aging with the Nexus Constraint Framework Driven by Dean Kulik March 2026 Introduction to the Computational Substrate of Biological Rejuvenation The first quarter of 2026 mark…
  datacite Kulik, Dean 2026 置信度 0.66
• Neuroformation™ v1.0: A Methodology for Building Resilience in Adaptive Systems
  version: 1.0 doi: TBD (auto-assigned by Zenodo) release_date: 2026-03-23 author: Aaron M. Slusher orcid: 0009-0000-9923-3207 brand: Achieve Peak Performance division: Foundational Methodology status: production updates: v1.0: Initial publication — foundational…
  datacite Slusher, Aaron M. 2026 置信度 0.66
• Neuroformation™ v1.0: A Methodology for Building Resilience in Adaptive Systems
  version: 1.0 doi: TBD (auto-assigned by Zenodo) release_date: 2026-03-23 author: Aaron M. Slusher orcid: 0009-0000-9923-3207 brand: Achieve Peak Performance division: Foundational Methodology status: production updates: v1.0: Initial publication — foundational…
  datacite Slusher, Aaron M. 2026 置信度 0.66
• Randomstrasse101: Open Problems of 2025
  Randomstrasse101 is a blog dedicated to Open Problems in Mathematics, with a focus on Probability Theory, Computation, Combinatorics, Statistics, and related topics. This manuscript serves as a stable record of the Open Problems posted in 2025, with the goal o…
  arxiv Afonso S. Bandeira, Daniil Dmitriev, Kevin Lucca, Petar Nizić-Nikolac 等 2026-03-31T10:52:10Z 置信度 0.78 math.PRcs.ITmath.COmath.OCmath.ST
• Self-Supervised Learning by Curvature Alignment
  Self-supervised learning (SSL) has recently advanced through non-contrastive methods that couple an invariance term with variance, covariance, or redundancy-reduction penalties. While such objectives shape first- and second-order statistics of the representati…
  arxiv Benyamin Ghojogh, M. Hadi Sepanj, Paul Fieguth 2025-11-21T17:22:31Z 置信度 0.78 cs.LGcs.CVstat.ML
• AI, Humans, and Data Science: Optimizing Roles Across Workflows and the Workforce
  AI is transforming research. It is being leveraged to construct surveys, synthesize data, conduct analysis, and write summaries of the results. While the promise is to create efficiencies and increase quality, the reality is not always as clear cut. Leveraging…
  arxiv Richard Timpone, Yongwei Yang 2025-07-15T17:59:06Z 置信度 0.78 cs.CYcs.AIcs.HC
• Model Cards for AI Teammates: Comparing Human-AI Team Familiarization Methods for High-Stakes Environments
  We compare three methods of familiarizing a human with an artificial intelligence (AI) teammate ("agent") prior to operation in a collaborative, fast-paced intelligence, surveillance, and reconnaissance (ISR) environment. In a between-subjects user study (n=60…
  arxiv Ryan Bowers, Richard Agbeyibor, Jack Kolb, Karen Feigh 2025-05-19T23:19:16Z 置信度 0.78 cs.AIcs.HCcs.MA
• Shape Polarization and Quasiparticle Alignment in the [523]5/2 and [642]5/2 bands of $^{169}$Hf
  Rotational properties of [523]5/2 (h11/2) and [642]5/2 (i13/2) signature partner bands in 169Hf are investigated using the Total Routhian Surface (TRS) method. Experimental data show a distinct signature inversion in the [523]5/2 band at high spin, while the […
  arxiv Rong-Xin Nie, Xue-Hui Ai, Xin Guan, Jie Yang 2026-03-24T14:34:19Z 置信度 0.78 nucl-th
• Human-in-the-Loop Systems for Adaptive Learning Using Generative AI
  A Human-in-the-Loop (HITL) approach leverages generative AI to enhance personalized learning by directly integrating student feedback into AI-generated solutions. Students critique and modify AI responses using predefined feedback tags, fostering deeper engage…
  arxiv Bhavishya Tarun, Haoze Du, Dinesh Kannan, Edward F. Gehringer 2025-08-14T20:44:34Z 置信度 0.78 cs.HCcs.LG
• Unlocking LLM Safeguards for Low-Resource Languages via Reasoning and Alignment with Minimal Training Data
  Recent advances in LLMs have enhanced AI capabilities, but also increased the risk posed by malicious requests, highlighting the need for effective LLM safeguards to detect such queries. Existing approaches largely rely on classifier-based methods that lack in…
  arxiv Zhuowei Chen, Bowei Zhang, Nankai Lin, Tian Hou 等 2025-10-12T16:05:56Z 置信度 0.78 cs.CL
• Fanfiction in the Age of AI: Community Perspectives on Creativity, Authenticity and Adoption
  The integration of Generative AI (GenAI) into creative communities, like fanfiction, is reshaping how stories are created, shared, and valued. This study investigates the perceptions of 157 active fanfiction members, both readers and writers, regarding AI-gene…
  arxiv Roi Alfassi, Angelora Cooper, Zoe Mitchell, Mary Calabro 等 2025-06-23T14:45:37Z 置信度 0.78 cs.HC
• Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications
  Understanding how the surrounding environment changes is crucial for performing downstream tasks safely and reliably in autonomous driving applications. Recent occupancy estimation techniques using only camera images as input can provide dense occupancy repres…
  arxiv Junyi Ma, Xieyuanli Chen, Jiawei Huang, Jingyi Xu 等 2023-11-29T14:25:46Z 置信度 0.78 cs.CV
• Cogment: Open Source Framework For Distributed Multi-actor Training, Deployment &amp; Operations
  Involving humans directly for the benefit of AI agents' training is getting traction thanks to several advances in reinforcement learning and human-in-the-loop learning. Humans can provide rewards to the agent, demonstrate tasks, design a curriculum, or act in…
  arxiv AI Redefined, Sai Krishna Gottipati, Sagar Kurandwad, Clodéric Mars 等 2021-06-21T18:21:26Z 置信度 0.78 cs.AIcs.HCcs.LGcs.MA
• VLA-Mark: A cross modal watermark for large vision-language alignment model
  Vision-language models demand watermarking solutions that protect intellectual property without compromising multimodal coherence. Existing text watermarking methods disrupt visual-textual alignment through biased token selection and static strategies, leaving…
  arxiv Shuliang Liu, Qi Zheng, Jesse Jiaxi Xu, Yibo Yan 等 2025-07-18T16:44:41Z 置信度 0.78 cs.CVcs.AI
• MPF: Aligning and Debiasing Language Models post Deployment via Multi Perspective Fusion
  Multiperspective Fusion (MPF) is a novel posttraining alignment framework for large language models (LLMs) developed in response to the growing need for easy bias mitigation. Built on top of the SAGED pipeline, an automated system for constructing bias benchma…
  arxiv Xin Guan, PeiHsin Lin, Zekun Wu, Ze Wang 等 2025-07-03T13:09:18Z 置信度 0.78 cs.CLcs.AI
• Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense
  The rise in malicious usage of large language models, such as fake content creation and academic plagiarism, has motivated the development of approaches that identify AI-generated text, including those based on watermarking or outlier detection. However, the r…
  arxiv Kalpesh Krishna, Yixiao Song, Marzena Karpinska, John Wieting 等 2023-03-23T16:29:27Z 置信度 0.78 cs.CLcs.CRcs.LG
• Evaluating Hybrid Retrieval Augmented Generation using Dynamic Test Sets: LiveRAG Challenge
  We present our submission to the LiveRAG Challenge 2025, which evaluates retrieval-augmented generation (RAG) systems on dynamic test sets using the FineWeb-10BT corpus. Our final hybrid approach combines sparse (BM25) and dense (E5) retrieval methods and then…
  arxiv Chase Fensore, Kaustubh Dhole, Joyce C Ho, Eugene Agichtein 2025-06-27T21:20:43Z 置信度 0.78 cs.CLcs.IR