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• Transdiagnostic Reductions in Glymphatic-Related Perivascular Diffusion Across Psychiatric Disorders: A Systematic Review and Meta-analysis
  ABSTRACT Background Impaired glymphatic clearance, the perivascular system supporting cerebrospinal and interstitial fluid exchange, has been implicated in neurodegenerative and psychiatric disorders. Diffusion tensor imaging along the perivascular space (DTI-…
  preprints 2026 置信度 0.74
• Structure-Function Dynamics in Healthy Cognitive Aging: A Graph Signal Processing Approach
  Network neuroscience has significantly advanced our understanding of how structural and functional connectivity evolve during healthy neurocognitive aging. Yet, integrative studies linking structural and functional brain organization with cognitive performance…
  preprints 2025 置信度 0.74
• A Systematic Review of Toxicity in Large Language Models: Definitions, Datasets, Detectors, Detoxification Methods and Challenges
  Abstract The emergence of the transformer architecture has ushered in a new era of possibilities, showcasing remarkable capabilities in generative tasks exemplified by models like GPT4o, Claude 3, and Llama 3. However, these advancements come with a caveat: pr…
  preprints 2024 置信度 0.74
• GPT-3.5 altruistic advice is sensitive to reciprocal concerns but not to strategic risk
  Abstract Pre-trained large language models (LLMs) have garnered significant attention for their ability to generate human-like text and responses across various domains. This study delves into the social and strategic behavior of the commonly used LLM GPT-3.5 …
  preprints 2024 置信度 0.74
• Megaplasmids associate with <i>Escherichia coli</i> and other <i>Enterobacteriaceae</i>
  Summary Humans and animals are ubiquitously colonized by Enterobacteriaceae , a bacterial family that contains both commensals and clinically significant pathogens. Here, we report Enterobacteriaceae megaplasmids of up to 1.58 Mbp in length in infant and adult…
  preprints 2025 置信度 0.74
• Exploring Supplier Relationship Management in the Context of E-commerce
  This qualitative study explores the transformative role of Supplier Relationship Management (SRM) in the context of e-commerce, focusing on the integration of digital technologies and evolving supplier interactions. As digital advancements such as artificial i…
  preprints 2024 置信度 0.74
• Climate adaptation pathways for agri-food systems: a conceptual framework for scalable application
  Abstract Climate change is placing increasing pressure on agri-food systems, yet adaptation planning remains fragmented and weakly connected to global scenario frameworks. We develop a conceptual framework for global adaptation pathways that links Shared Socio…
  preprints 2026 置信度 0.74
• Benchmarking germline variant calling performance of a GPU-accelerated tool on whole-genome sequencing datasets
  Abstract Background Rapid advances in next-generation sequencing (NGS) have enabled ultralarge population and cohort studies to identify DNA variants that may impact gene function. Efficient bioinformatics tools, such as read alignment and variant calling, are…
  preprints 2024 置信度 0.74
• Current State of Implementation of in-silico Tools in the Biopharmaceutical Industry - Proceedings of the 5 th Modeling Workshop
  The fifth modeling workshop (5MW) was held in June 2023 in Favrholm, Denmark and sponsored by Recovery of Biological Products Conference Series. The goal of the workshop was to assemble modeling practitioners to review and discuss the current state, progress s…
  preprints 2024 置信度 0.74
• Multimodal 3D Image Registration for Mapping Brain Disorders
  We introduce an AI-driven approach for robust 3D brain image registration, addressing challenges posed by diverse hardware scanners and imaging sites. Our model trained using an SSIM-driven loss function, prioritizes structural coherence over voxel-wise intens…
  preprints 2024 置信度 0.74
• Automated Segmentation of Intracranial Arteries on 4D Flow MRI for Hemodynamic Quantification
  Accurate vessel segmentation is essential for reliable hemodynamic quantification in 4D Flow MRI. Automated segmentation with deep learning offers a promising alternative to the time-consuming, operator-dependent manual segmentation, but its application is oft…
  preprints 2026 置信度 0.74
• BetaAlign: a deep learning approach for multiple sequence alignment
  The multiple sequence alignment (MSA) problem is a fundamental pillar in bioinformatics, comparative genomics, and phylogenetics. Here we characterize and improve BetaAlign, the first deep learning aligner, which substantially deviates from conventional algori…
  preprints 2024 置信度 0.74
• Paralog-specific intrabodies for PSD-93 and SAP102 expand the molecular toolkit to resolve excitatory synapse organization
  ABSTRACT A scarcity of live, paralog-specific tools has limited analysis of PSD-MAGUKs at excitatory synapses. To address this gap, we engineered small, 10 FN3-derived binders that selectively recognize PSD-93 and SAP102 -alongside an enhanced PSD-95 reagent- …
  preprints 2025 置信度 0.74
• Emergency obstetric hysterectomy in a low resources country : An eight-year retrospective cohort study from a secondary care hospital in Niger
  Abstract Background : Emergency obstetric hysterectomy (EOH) is a lifesaving procedure that is performed as a last resort in cases of severe postpartum haemorrhage. The objective of this study was to determine the incidence, socio-demographic profile of patien…
  preprints 2024 置信度 0.74
• Influencing Pedagogy through Value-Based Business Models
  The intersection of pedagogy and business models offers a compelling framework for enhancing educational outcomes through strategic innovation and operational efficiency. This is the first study that explores integrating value-based business models into pedago…
  preprints 2024 置信度 0.74
• Evaluating the Agreement between Human Preferences, GPT-4V and Gemini Pro Vision Assessments: Can AI Recognise Which Restaurants People Might Like?
  The study aims to introduce a methodology for assessing agreement between AI and human ratings, specifically focusing on visual large language models (LLMs). It presents empirical findings on the alignment between ratings generated by GPT-4 Vision (GPT-4V) and…
  preprints 2024 置信度 0.74
• Longitudinal associations between adverse childhood experiences with moderate-risk to problem gambling in young adulthood: A prospective UK cohort study
  Previous research links Adverse Childhood Experiences (ACEs) with problem gambling, but most studies rely on retrospective reporting and focus narrowly on maltreatment, overlooking adversities such as parental mental health issues. Using data on 3794 young adu…
  preprints 2026 置信度 0.74
• A Segmented Approach to Encouragement of Entrepreneurship using Data Science
  In the dynamic landscape of entrepreneurship, where opportunities abound and innovation thrives, Entrepreneurship: Navigating the Future with Data Science and AI” presents a groundbreaking approach to cultivating and empowering the next generation of business …
  preprints 2024 置信度 0.74
• Benchmarking of Commercial Large Language Models: ChatGPT, Mistral, and Llama
  Abstract Recent developments in artificial intelligence have ushered in a new era of language models, with capabilities that are rapidly advancing the frontiers of technology and communication. The present research conducts a detailed comparative analysis of t…
  preprints 2024 置信度 0.74
• Geospatial approaches for mapping zero-dose children in low- and lower-1 middle-income countries: A scoping review
  Abstract Background: Zero-dose (ZD) children remain a critical public health concern, particularly in low- and lower-middle-income countries (LLMICs), where over 80% of the global ZD population resides, disproportionately concentrated among the most marginalis…
  preprints 2026 置信度 0.74
• Identification and Description of Emotions by Current Large Language Models
  Abstract The assertion that artificial intelligence (AI) cannot grasp the complexities of human emotions has been a long-standing debate. However, recent advancements in large language models (LLMs) challenge this notion by demonstrating an increased capacity …
  preprints 2024 置信度 0.74
• Gut Microbiome Variation Across Menstrual Phases: Distinct Roles of Diet and Physiological Hormonal Fluctuations in Healthy Women
  Abstract Sex differences in the gut microbiome are well established, yet the contribution of reproductive hormone variations within women remains insufficiently characterized. Here, we investigated how hormonal fluctuations during a natural menstrual cycle sha…
  preprints 2026 置信度 0.74
• UAlign: Pushing the Limit of Template-free Retrosynthesis Prediction with Unsupervised SMILES Alignment
  Abstract \textbf{Motivation} Retrosynthesis planning poses a formidable challenge in the organic chemical industry, particularly in pharmaceuticals. Single-step retrosynthesis prediction, a crucial step in the planning process, has witnessed a surge in interes…
  preprints 2024 置信度 0.74
• Deep Learning for Freezing of Gait Assessment using Inertial Measurement Units: A Multicentre Study
  Video annotation is the gold-standard method to assess Freezing of Gait (FOG) in Parkinsonian disorders, but it is time-consuming. Deep learning (DL)-based assessment of FOG using inertial measurement units ameliorates these problems but poses challenges. Part…
  preprints 2025 置信度 0.74
• Periodicity as a Universal Measurand Enabling Traceable Nanoscale Dimensional Metrology
  Abstract The proliferation of nanotechnology faces a critical bottleneck: the lack of comparable and reliable nanoscale dimensional measurements across diverse instruments and laboratories that undermines reproducibility and innovation in nanoscale materials, …
  preprints 2026 置信度 0.74
• Mitigating Antimicrobial Resistance by Innovative Solutions in AI (MARISA): a modified James Lind Alliance Analysis
  Abstract Antimicrobial resistance (AMR) is a critical global health threat, and artificial intelligence (AI) presents new opportunities to combat it. However, research priorities at the AI-AMR intersection remain undefined. This study aimed to identify and pri…
  preprints 2025 置信度 0.74
• Adapting Supplier Relationship Management Strategies to Evolving E-Commerce Trends
  This qualitative study explores how businesses are adapting their Supplier Relationship Management (SRM) strategies to address the challenges and capitalize on the opportunities presented by evolving e-commerce trends. Through in-depth interviews with key indu…
  preprints 2024 置信度 0.74
• Measurement-grade video for computer vision in neurology: an international consensus framework for acquisition and reporting
  Abstract Background : Neurological motor assessment relies on semi-quantitative, scale-based measures with inherent clinimetric limitations that disproportionately affect clinical trials aimed at early disease stages, where sensitivity is critical. Computer vi…
  preprints 2026 置信度 0.74
• Robust Testing of AI Language Models Resilience with Novel Adversarial Prompts
  In the rapidly advancing field of Artificial Intelligence (AI), this study presents a critical evaluation of the resilience and cybersecurity efficacy of leading AI models, including ChatGPT-4, Bard, Claude, and Microsoft Copilot. Central to this research is t…
  preprints 2024 置信度 0.74
• The global landscape of online dementia resources
  Abstract This multi-country study provides the first systematic assessment of publicly accessible online dementia resources across 17 countries spanning diverse income levels and geographic regions. We mapped 124 online resources and evaluated their alignment …
  preprints 2025 置信度 0.74
• "Turning Right"? An experimental study on the political value shift in large language models
  Abstract Constructing artificial intelligence that aligns with human values is a crucial challenge, with political values playing a distinctive role among the various human value systems. In this study, we developed a standardized method to test political valu…
  preprints 2024 置信度 0.74
• Guidelines for Integrating actionable A-SMART Learning Outcomes into the Backward Design Process
  Background Learning outcomes are essential in education, guiding both educators and learners towards desired knowledge, skills, and competencies. The backward design process offers a structured approach to curriculum planning, but its integration with actionab…
  preprints 2024 置信度 0.74
• Neuronal recordings in head-fixed and freely-moving mole-rats
  Mole-rats are subterranean rodents that have evolved remarkable sensory adaptations to life in underground tunnel systems, yet their neural mechanisms remain largely unexplored. Here, we present a protocol for in vivo electrophysiological recordings in awake, …
  preprints 2025 置信度 0.74
• Assessing Medical Accuracy of AI-Generated GERD Educational Social Media Posts.
  Abstract Background Gastroesophageal Reflux Disease (GERD) is a prevalent condition requiring effective patient education for management. With the advent of Artificial Intelligence (AI), tools like predis.ai are emerging as novel mediums for disseminating heal…
  preprints 2024 置信度 0.74
• Topic Modelling of Management Research Assertions to Develop Insights on the Role of Artificial Intelligence in Enhancing the Value Propositions of New Companies
  The article suggests a Value Proposition (VP) framework that enables the analysis of the beneficial impact of Artificial Intelligence (AI) resources and capabilities on specific VP development activities. To develop such a framework, we examined existing manag…
  preprints 2024 置信度 0.74
• Agile Procurement in a Changing Marketplace: Examining Adaptability and Responsiveness in Supply Chain Management
  Agile procurement has emerged as a transformative strategy for organizations striving to maintain competitiveness in a rapidly evolving marketplace. This qualitative research investigates the implementation, benefits, challenges, and outcomes of agile procurem…
  preprints 2024 置信度 0.74
• ModelVsBaby: a Developmentally Motivated Benchmark of Out-of-Distribution Object Recognition
  Deep neural networks have recently become remarkable computational tools for thinking about human visual learning. Recent studies have explored the effects of altering naturalistic images and compared the responses of both humans and models, providing valuable…
  preprints 2024 置信度 0.74
• Spatiotemporal multi-omics atlas of the aging neuromuscular junction
  ABSTRACT The demographic shift toward a global aging population, coupled with rising prevalence of neurodegenerative diseases, poses major public health challenges. Aging is the primary risk factor for most neurodegenerative conditions, making the elucidation …
  preprints 2025 置信度 0.74
• Comparing ChatGPT Responses with AHA Guidelines for Assessing Unruptured Intracranial Aneurysms: Establishment of a Simple Rating System
  Abstract Introduction Efficient diagnosis and intervention for unruptured intracranial aneurysms (UIAs) are crucial for favorable outcomes. Our study aimed to evaluate the accuracy and alignment of Chat Generative Pre-trained Transformer (ChatGPT) with establi…
  preprints 2024 置信度 0.74
• Protein identification using cryo-EM and artificial intelligence guides improved sample purification
  Protein purification is essential in protein biochemistry, structural biology, and protein design. It enables the determination of protein structures, the study of biological mechanisms, and the biochemical and biophysical characterization of both natural and …
  preprints 2024 置信度 0.74
• Brand Communication and Supply Chain Management: A Qualitative Study on Co-Creation of Value in B2B Markets
  Brand communication and supply chain management are critical components of value co-creation in B2B markets, yet their interplay and implications remain underexplored in current literature. This qualitative study investigates how these elements synergistically…
  preprints 2024 置信度 0.74
• ShieldDiff: Suppressing Sexual Content Generation from Diffusion Models through Reinforcement Learning
  With the advance of generative AI, the text-to-image (T2I) model has the ability to generate various contents. However, the generated contents cannot be fully controlled. There is a potential risk that text-to-image model can generate unsafe images with uncomf…
  preprints 2024 置信度 0.74
• Physical formula enhanced multi-task learning for pharmacokinetics prediction
  Abstract Artificial intelligence (AI) technology has demonstrated remarkable potential in drug discovery, where pharmacokinetics plays a crucial role in determining the dosage, safety, and efficacy of new drugs. A major challenge for AI-driven drug discovery (…
  preprints 2024 置信度 0.74
• Analysis of Emerging Trends in Artificial Intelligence in Education in Nigeria
  Abstract In the domain of education, the integration of Artificial Intelligence (AI) has ushered in a paradigm shift towards a more technologically-driven landscape, demonstrating its efficacy as an emergency strategy. The pervasive influence of computer techn…
  preprints 2024 置信度 0.74
• Alignments between cortical neurochemical systems, proteinopathy and neurophysiological alterations along the Alzheimer’s disease continuum
  Two neuropathological hallmarks of Alzheimer’s disease (AD) are the accumulation of amyloid-β (Aβ) proteins and alterations in cortical neurophysiological signaling. Despite parallel research indicating disruption of multiple neurotransmitter systems in AD, it…
  preprints 2024 置信度 0.74
• Comparing Human Text Classification Performance and Explainability with Large Language and Machine Learning Models Using Eye-Tracking
  Abstract To understand the alignment between reasonings of humans and artificial intelligence (AI) models, this empirical study compared the human text classification performance and explainability with a traditional machine learning (ML) model and large langu…
  preprints 2024 置信度 0.74
• Assembly and phospho-regulatory mechanisms of the budding yeast outer kinetochore KMN complex
  During mitosis and meiosis kinetochores mediate interactions between chromosomes and spindle microtubules. Kinetochores are multi-megadalton protein complexes essential for chromosome segregation in all eukaryotes, however recent structural, functional, and ev…
  preprints 2025 置信度 0.74
• Region- and layer-specific glutamatergic synapse development in the nascent cortical hierarchy
  Neocortical synapses are highly dynamic during brain development, undergoing formation, elimination, and maturation before acquiring properties that support adult cognition. Individual neocortical regions develop at different ages and individual layers within …
  preprints 2026 置信度 0.74
• Utilizing Large Language Models for Enhanced Clinical Trial Matching: A Study on Automation in Patient Screening
  Background Clinical trial matching, essential for advancing medical research, involves detailed screening of potential participants to ensure alignment with specific trial requirements. Research staff face challenges due to the high volume of eligible patients…
  preprints 2024 置信度 0.74
• Advancing Data Sovereignty in Africa: Deploying DataSHIELD to Federate Cross-Border Data Silos within the Data Science Without Borders Initiative
  Abstract Collaborative health research across Africa is constrained by data sovereignty concerns, heterogeneous regulatory frameworks, limited infrastructure, and persistent capacity gaps, which hinder equitable cross-border data sharing. These challenges limi…
  preprints 2026 置信度 0.74
• MEDITRON: Open Medical Foundation Models Adapted for Clinical Practice
  Abstract Large language and multimodal models (LLMs and LMMs) will transform access to medical knowledge and clinical decision support. However, the current leading systems fall short of this promise, as they are either limited in scale, which restricts their …
  preprints 2024 置信度 0.74
• Ambient air pollution and the sex ratio at birth: a systematic review and narrative synthesis
  Ambient air pollution is associated with adverse pregnancy outcomes such as stillbirth, miscarriage, and preterm birth. However, its effects on the viability, implantation, and survival of conceptuses—largely unobserved before the clinical detection of pregnan…
  preprints 2025 置信度 0.74
• Six Fallacies in Substituting Large Language Models for Human Participants
  Can AI systems like large language models (LLMs) replace human participants in behavioral and psychological research? Here I critically evaluate the “replacement” perspective and identify six interpretive fallacies that undermine its validity. These fallacies …
  preprints 2024 置信度 0.74
• Rapid evolution of a large highly-divergent haplotype region during a bacterial epidemic
  Abstract The field of population genetics is primarily focused on simple genetic variants such as single nucleotide polymorphisms (SNPs), small insertions or deletions (INDELs), and copy-number variants (CNVs). However, large-scale genomic variants are beginni…
  preprints 2025 置信度 0.74
• Efficient Working Memory Maintenance via High-Dimensional Rotational Dynamics
  Working memory (WM) is fundamental to higher-order cognition, yet the circuit mechanisms through which memoranda are maintained in neural activity after removal of sensory input remain subject to vigorous debate. Prominent theories propose that stimuli are enc…
  preprints 2025 置信度 0.74
• PertEval-scFM: Benchmarking Single-Cell Foundation Models for Perturbation Effect Prediction
  In silico modeling of transcriptional responses to perturbations is crucial for advancing our understanding of cellular processes and disease mechanisms. We present PertEval-scFM, a standardized framework designed to evaluate models for perturbation effect pre…
  preprints 2024 置信度 0.74
• Deconstructing In-Context Learning: Understanding Prompts via Corruption
  The ability of large language models (LLMs) to $``$learn in context$"$ based on the provided prompt has led to an explosive growth in their use, culminating in the proliferation of AI assistants such as ChatGPT, Claude, and Bard. These AI assistants are known …
  datacite Shivagunde, Namrata, Lialin, Vladislav, Muckatira, Sherin, Rumshisky, Anna 2024 置信度 0.66 Computation and Language (cs.CL)FOS: Computer and information sciencesFOS: Computer and information sciences
• Value Alignment and Trust in Human-Robot Interaction: Insights from Simulation and User Study
  With the advent of AI technologies, humans and robots are increasingly teaming up to perform collaborative tasks. To enable smooth and effective collaboration, the topic of value alignment (operationalized herein as the degree of dynamic goal alignment within …
  datacite Bhat, Shreyas, Lyons, Joseph B., Shi, Cong, Yang, X. Jessie 2024 置信度 0.66 Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
• AI Alignment with Changing and Influenceable Reward Functions
  Existing AI alignment approaches assume that preferences are static, which is unrealistic: our preferences change, and may even be influenced by our interactions with AI systems themselves. To clarify the consequences of incorrectly assuming static preferences…
  openalex Carroll, Micah, Foote, Davis, Siththaranjan, Anand, Russell, Stuart 等 2024 置信度 0.72 Artificial Intelligence (cs.AI)Machine Learning (cs.LG)FOS: Computer and information sciencesComputer scienceArtificial intelligence
• GPT-4 Assisted Categorization and Visualization of NTSB UAV Accident Reports
  Poster Presentation at the Discovery Day 2024 Conference Abstract The 731% increase in the professional Unmanned Aerial Vehicle (UAV) fleet size, from 2016 to 2023, highlights the growing reliance on UAVs for commercial operations. This surge in usage has been…
  datacite Pik, Eugene 2024 置信度 0.66
• GPT-4 Assisted Categorization and Visualization of NTSB UAV Accident Reports
  Poster Presentation at the Discovery Day 2024 Conference Abstract The 731% increase in the professional Unmanned Aerial Vehicle (UAV) fleet size, from 2016 to 2023, highlights the growing reliance on UAVs for commercial operations. This surge in usage has been…
  datacite Pik, Eugene 2024 置信度 0.66
• Conversational Topic Recommendation in Counseling and Psychotherapy with Decision Transformer and Large Language Models
  Given the increasing demand for mental health assistance, artificial intelligence (AI), particularly large language models (LLMs), may be valuable for integration into automated clinical support systems. In this work, we leverage a decision transformer archite…
  datacite Gunal, Aylin, Lin, Baihan, Bouneffouf, Djallel 2024 置信度 0.66 Computation and Language (cs.CL)FOS: Computer and information sciencesFOS: Computer and information sciences
• LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models
  Foundation models have demonstrated a great ability to achieve general human-level intelligence far beyond traditional approaches. As the technique keeps attracting attention from the AI community, an increasing number of foundation models are becoming publicl…
  datacite Diao, Shizhe, Pan, Rui, Dong, Hanze, Shum, Ka Shun 等 2023 置信度 0.66 Computation and Language (cs.CL)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
• Automated Virtual Product Placement and Assessment in Images using Diffusion Models
  In Virtual Product Placement (VPP) applications, the discrete integration of specific brand products into images or videos has emerged as a challenging yet important task. This paper introduces a novel three-stage fully automated VPP system. In the first stage…
  datacite Alam, Mohammad Mahmudul, Sokhandan, Negin, Goodman, Emmett 2024 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)FOS: Computer and information sciencesFOS: Computer and information sciences
• Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding
  The rapid evolution of text-to-image diffusion models has opened the door of generative AI, enabling the translation of textual descriptions into visually compelling images with remarkable quality. However, a persistent challenge within this domain is the opti…
  datacite Fan, Zezhong, Li, Xiaohan, Fang, Chenhao, Biswas, Topojoy 等 2024 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)Artificial Intelligence (cs.AI)Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
• The Use of Artificial Intelligence to Create a Virtual Patient for Oral and Maxillofacial Surgical Planning
  The advancement of digital image acquisition technologies in dentistry has facilitated the creation of virtual patients through the integration of two- and three-dimensional (2D and 3D) images within digital platforms. These images, sourced from technologies s…
  datacite Ayres, Ana Paula, Stival Correa, Daiane, De Moura E Costa, Alan Jony, Pradíes, Guillermo 等 2024 置信度 0.66
• What are human values, and how do we align AI to them?
  There is an emerging consensus that we need to align AI systems with human values (Gabriel, 2020; Ji et al., 2024), but it remains unclear how to apply this to language models in practice. We split the problem of "aligning to human values" into three parts: fi…
  openalex Klingefjord, Oliver, Lowe, Ryan, Edelman, Joe, Oliver Klingefjord 等 2024 置信度 0.72 Computers and Society (cs.CY)Artificial Intelligence (cs.AI)Computation and Language (cs.CL)Human-Computer Interaction (cs.HC)Machine Learning (cs.LG)
• 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…
  datacite Babnik, Žiga, Boutros, Fadi, Damer, Naser, Peer, Peter 等 2024 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)FOS: Computer and information sciencesFOS: Computer and information sciences
• Semantic Approach to Quantifying the Consistency of Diffusion Model Image Generation
  In this study, we identify the need for an interpretable, quantitative score of the repeatability, or consistency, of image generation in diffusion models. We propose a semantic approach, using a pairwise mean CLIP (Contrastive Language-Image Pretraining) scor…
  datacite Bent, Brinnae 2024 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)Artificial Intelligence (cs.AI)Human-Computer Interaction (cs.HC)Machine Learning (cs.LG)FOS: Computer and information sciences
• SALMON: Self-Alignment with Instructable Reward Models
  Supervised Fine-Tuning (SFT) on response demonstrations combined with Reinforcement Learning from Human Feedback (RLHF) constitutes a powerful paradigm for aligning LLM-based AI agents. However, a significant limitation of such an approach is its dependency on…
  datacite Sun, Zhiqing, Shen, Yikang, Zhang, Hongxin, Zhou, Qinhong 等 2023 置信度 0.66 Computation and Language (cs.CL)Artificial Intelligence (cs.AI)Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
• AIGIQA-20K: A Large Database for AI-Generated Image Quality Assessment
  With the rapid advancements in AI-Generated Content (AIGC), AI-Generated Images (AIGIs) have been widely applied in entertainment, education, and social media. However, due to the significant variance in quality among different AIGIs, there is an urgent need f…
  datacite Li, Chunyi, Kou, Tengchuan, Gao, Yixuan, Cao, Yuqin 等 2024 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)FOS: Computer and information sciencesFOS: Computer and information sciences
• How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their Vulnerabilities
  The rapid progress in open-source Large Language Models (LLMs) is significantly driving AI development forward. However, there is still a limited understanding of their trustworthiness. Deploying these models at scale without sufficient trustworthiness can pos…
  datacite Mo, Lingbo, Wang, Boshi, Chen, Muhao, Sun, Huan 2023 置信度 0.66 Computation and Language (cs.CL)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
• VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models
  The role of data in building AI systems has recently been emphasized by the emerging concept of data-centric AI. Unfortunately, in the real-world, datasets may contain dirty samples, such as poisoned samples from backdoor attack, noisy labels in crowdsourcing,…
  datacite Zhu, Zihao, Zhang, Mingda, Wei, Shaokui, Wu, Bingzhe 等 2023 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
• Beyond Static Evaluation: A Dynamic Approach to Assessing AI Assistants' API Invocation Capabilities
  With the rise of Large Language Models (LLMs), AI assistants' ability to utilize tools, especially through API calls, has advanced notably. This progress has necessitated more accurate evaluation methods. Many existing studies adopt static evaluation, where th…
  datacite Mu, Honglin, Xu, Yang, Feng, Yunlong, Han, Xiaofeng 等 2024 置信度 0.66 Computation and Language (cs.CL)FOS: Computer and information sciencesFOS: Computer and information sciences
• IterAlign: Iterative Constitutional Alignment of Large Language Models
  With the rapid development of large language models (LLMs), aligning LLMs with human values and societal norms to ensure their reliability and safety has become crucial. Reinforcement learning with human feedback (RLHF) and Constitutional AI (CAI) have been pr…
  datacite Chen, Xiusi, Wen, Hongzhi, Nag, Sreyashi, Luo, Chen 等 2024 置信度 0.66 Computation and Language (cs.CL)FOS: Computer and information sciencesFOS: Computer and information sciences
• Paired Diffusion: Generation of related, synthetic PET-CT-Segmentation scans using Linked Denoising Diffusion Probabilistic Models
  The rapid advancement of Artificial Intelligence (AI) in biomedical imaging and radiotherapy is hindered by the limited availability of large imaging data repositories. With recent research and improvements in denoising diffusion probabilistic models (DDPM), h…
  datacite Bradbury, Rowan, Vallis, Katherine A., Papiez, Bartlomiej W. 2024 置信度 0.66 Image and Video Processing (eess.IV)Computer Vision and Pattern Recognition (cs.CV)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineeringFOS: Computer and information sciences
• ChatGPT Rates Natural Language Explanation Quality Like Humans: But on Which Scales?
  As AI becomes more integral in our lives, the need for transparency and responsibility grows. While natural language explanations (NLEs) are vital for clarifying the reasoning behind AI decisions, evaluating them through human judgments is complex and resource…
  datacite Huang, Fan, Kwak, Haewoon, Park, Kunwoo, An, Jisun 2024 置信度 0.66 Computation and Language (cs.CL)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
• Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
  Language models have shown promise in various tasks but can be affected by undesired data during training, fine-tuning, or alignment. For example, if some unsafe conversations are wrongly annotated as safe ones, the model fine-tuned on these samples may be har…
  datacite Zhu, Zhaowei, Wang, Jialu, Cheng, Hao, Liu, Yang 2023 置信度 0.66 Machine Learning (cs.LG)Artificial Intelligence (cs.AI)Computation and Language (cs.CL)Computers and Society (cs.CY)FOS: Computer and information sciences
• <b>Through the Lens of SEO: How Images Transform Digital Visibility</b>
  Through the Lens of SEO: How Images Transform Digital Visibility Author: Kashif Mukhtar Published Date: 20th March 2024 Instructor: Abstract This research paper, titled "Through the Lens of SEO: How Images Transform Digital Visibility," delves into the critica…
  datacite Mukhtar, Kashif 2024 置信度 0.66 Digital writing
• Assessing the Aesthetic Evaluation Capabilities of GPT-4 with Vision: Insights from Group and Individual Assessments
  Recently, it has been recognized that large language models demonstrate high performance on various intellectual tasks. However, few studies have investigated alignment with humans in behaviors that involve sensibility, such as aesthetic evaluation. This study…
  datacite Abe, Yoshia, Daikoku, Tatsuya, Kuniyoshi, Yasuo 2024 置信度 0.66 Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
• How Do Data Analysts Respond to AI Assistance? A Wizard-of-Oz Study
  Data analysis is challenging as analysts must navigate nuanced decisions that may yield divergent conclusions. AI assistants have the potential to support analysts in planning their analyses, enabling more robust decision making. Though AI-based assistants tha…
  datacite Gu, Ken, Grunde-McLaughlin, Madeleine, McNutt, Andrew M., Heer, Jeffrey 等 2023 置信度 0.66 Human-Computer Interaction (cs.HC)FOS: Computer and information sciencesFOS: Computer and information sciences
• Not All the Same: Understanding and Informing Similarity Estimation in Tile-Based Video Games
  Similarity estimation is essential for many game AI applications, from the procedural generation of distinct assets to automated exploration with game-playing agents. While similarity metrics often substitute human evaluation, their alignment with our judgemen…
  datacite Berns, Sebastian, Volz, Vanessa, Tokarchuk, Laurissa, Snodgrass, Sam 等 2024 置信度 0.66 Human-Computer Interaction (cs.HC)FOS: Computer and information sciencesFOS: Computer and information sciences
• Preference Ranking Optimization for Human Alignment
  Large language models (LLMs) often contain misleading content, emphasizing the need to align them with human values to ensure secure AI systems. Reinforcement learning from human feedback (RLHF) has been employed to achieve this alignment. However, it encompas…
  datacite Song, Feifan, Yu, Bowen, Li, Minghao, Yu, Haiyang 等 2023 置信度 0.66 Computation and Language (cs.CL)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
• User Experience Design Professionals' Perceptions of Generative Artificial Intelligence
  Among creative professionals, Generative Artificial Intelligence (GenAI) has sparked excitement over its capabilities and fear over unanticipated consequences. How does GenAI impact User Experience Design (UXD) practice, and are fears warranted? We interviewed…
  datacite Li, Jie, Cao, Hancheng, Lin, Laura, Hou, Youyang 等 2023 置信度 0.66 Computers and Society (cs.CY)Artificial Intelligence (cs.AI)Emerging Technologies (cs.ET)Human-Computer Interaction (cs.HC)FOS: Computer and information sciences
• Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative Community
  Social reward as a form of community recognition provides a strong source of motivation for users of online platforms to engage and contribute with content. The recent progress of text-conditioned image synthesis has ushered in a collaborative era where AI emp…
  datacite Isajanyan, Arman, Shatveryan, Artur, Kocharyan, David, Wang, Zhangyang 等 2024 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)FOS: Computer and information sciencesFOS: Computer and information sciences
• Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models
  Aligning large language models (LLMs) with human values and intents critically involves the use of human or AI feedback. While dense feedback annotations are expensive to acquire and integrate, sparse feedback presents a structural design choice between rating…
  datacite Bansal, Hritik, Dang, John, Grover, Aditya 2023 置信度 0.66 Machine Learning (cs.LG)Artificial Intelligence (cs.AI)Computation and Language (cs.CL)FOS: Computer and information sciencesFOS: Computer and information sciences
• LLM Agents in Interaction: Measuring Personality Consistency and Linguistic Alignment in Interacting Populations of Large Language Models
  While both agent interaction and personalisation are vibrant topics in research on large language models (LLMs), there has been limited focus on the effect of language interaction on the behaviour of persona-conditioned LLM agents. Such an endeavour is importa…
  datacite Frisch, Ivar, Giulianelli, Mario 2024 置信度 0.66 Computation and Language (cs.CL)Artificial Intelligence (cs.AI)Computers and Society (cs.CY)Multiagent Systems (cs.MA)FOS: Computer and information sciences
• Prompt-Propose-Verify: A Reliable Hand-Object-Interaction Data Generation Framework using Foundational Models
  Diffusion models when conditioned on text prompts, generate realistic-looking images with intricate details. But most of these pre-trained models fail to generate accurate images when it comes to human features like hands, teeth, etc. We hypothesize that this …
  datacite Juneja, Gurusha, Kumar, Sukrit 2023 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
• Configurable Native mHealth Apps for Ecological Momentary Assessment and Intervention: A Systematic Literature Review of Reusable Systems and Frameworks
  Abstract Introduction: Ecological Momentary Assessment (EMA) and Ecological Momentary Intervention (EMI), including Just-In-Time Adaptive Intervention (JITAIs), are increasingly implemented through (native) mobile health (mHealth) applications.Existing reviews…
  preprints 2026 置信度 0.74
• Evaluating medical AI models beyond predictive performance: a diabetic retinopathy screening case study
  Abstract Predictive metrics are widely used to evaluate artificial intelligence (AI)-based screening tools, yet their clinical reliability requires a more comprehensive assessment across multiple aspects, including robustness and calibration. Using diabetic re…
  preprints 2026 置信度 0.74
• Calibrating trust in AI-assisted pituitary surgery
  Background Endoscopic endonasal transsphenoidal surgery (EETS) requires navigation around neurocritical anatomy. Today, artificial intelligence clinical decision support systems (AI-CDSSs) can orientate surgeons, but clinician trust in AI remains unclear, limi…
  preprints 2026 置信度 0.74
• The emergence and molecular evolution of H5N1 influenza viruses in United States dairy cattle
  Prior to 2024, highly pathogenic avian influenza H5N1 clade 2.3.4.4b viruses circulated predominantly in wild birds and poultry. In 2024 and 2025, 2.3.4.4b genotypes B3.13 and D1.1 were detected in United States dairy cattle. Using whole-genome and segment-spe…
  preprints 2026 置信度 0.74
• AI decision-making performance in Maternal-Fetal Medicine compared with human specialists: a cross-sectional study
  Background : Large Language Models (LLMs), such as ChatGPT-4 and Gemini, are increasingly used in clinical care; however, reliability in Maternal–Fetal Medicine (MFM) remains uncertain. Objective : evaluating alignment of AI case management recommendations wit…
  preprints 2025 置信度 0.74
• Early deployment of an integrated digital platform (shamiriOS) for scalable youth mental health service delivery in Kenya: Development and usability study
  Background: Scaling youth mental health services in low-resource settings requires digital infrastructure that supports not just clinical delivery but the full operational, supervisory, and engagement demands of community-based, task-shifted models. Existing p…
  preprints 2026 置信度 0.74
• Automated Longitudinal MRI Assessments of Diffuse Midline Gliomas: A Large Multi-Institutional Study
  Abstract Background Diffuse midline gliomas (DMGs) are highly aggressive pediatric and young adults brain tumors with poor prognosis and limited treatment options. Accurate imaging assessment of tumor progression is critical for evaluating therapeutic response…
  preprints 2026 置信度 0.74
• AI-driven biological clocks of cardiac aging: Should we integrate ECG, metabolomic, and epigenetic signatures?
  Abstract Background Cardiovascular diseases remain the leading cause of death globally, with age as the primary risk factor. Unlike chronological age, biological age aims to capture age-related physiological changes and may better predict health outcomes and d…
  preprints 2026 置信度 0.74
• From sample to insight: Onsite training and implementing mobile environmental surveillance in sub-Saharan Africa
  Environmental surveillance for human pathogen detection is crucial for safeguarding public health; however, traditional approaches are often time-consuming, equipment-intensive and workflow-complex, delaying actionable public-health decision-making. The integr…
  preprints 2026 置信度 0.74
• Digital Education Strategies in Anaesthesiology: A Systematic Review and SWOT Analysis
  Abstract Background Digital transformation in health sciences education is accelerating, yet little is known about how institutional strategies, pedagogical models, and technology adoption intersect in practice. Anaesthesiology, a high-stakes and procedurally …
  preprints 2025 置信度 0.74
• Linking Kinetochore Attachment to Checkpoint Control: The Role of Aurora B in BubR1 Acetylation
  ABSTRACT We report here that Aurora B kinase is critical in BubR1 acetylation at K250, transducing kinetochore attachment status to spindle assembly checkpoint (SAC) activity. Aurora B phosphorylates BubR1 at serines 16 and 39 in an unattachment-dependent mann…
  preprints 2025 置信度 0.74
• Strategic stakeholder engagement for injury care: building consensus in Ghana, Pakistan, Rwanda and South Africa
  Abstract Injury care requires coordination between communities, health services, emergency responders and local authorities; however, actors rarely deliberate together and little is known about how stakeholders themselves prefer to engage. Policy change is mor…
  preprints 2026 置信度 0.74