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• Emergent Sensorimotor Representation in Large Language Models: Revisiting Human-machine Alignment on Sensorimotor Intuitions of Concepts
  Abstract Sensorimotor knowledge is vital for biological systems to build conceptual representations and interact with the physical world, yet whether and to what extent large language models (LLMs) can compensate for absent grounding remains an open question. …
  preprints 2026 置信度 0.74
• Navigating Power Dynamics in Sustainability Transformation: Extending Integration Mechanisms Across Organizational Boundaries
  This mixed-methods study examines how organizations develop AI-first HR functions by fundamentally reimagining people operations rather than merely adopting new technologies. Drawing on survey data from 152 HR leaders, 24 in-depth interviews, and longitudinal …
  preprints 2025 置信度 0.74
• Integrating Global Multimodal Transportation Sustainability: A Systematic Literature Review Aligning with SDG 9 and 13
  This systematic review of reviews synthesizes high-level evidence from 25 review articles (2012–2024) to map the landscape of sustainable multimodal transportation, specifically examining its alignment with Sustainable Development Goals (SDGs) 9 and 13. Findin…
  preprints 2025 置信度 0.74
• Defining and Differentiating Projects: Insights into Project Properties and Business Implications
  Defining and differentiating projects is a critical step for improving strategic alignment, effective resource allocation, and organizational adaptability. Although project management literature has expanded, significant gaps remain in understanding how projec…
  preprints 2025 置信度 0.74
• Building Conflict Competent Hybrid Sales Teams, A Customized L&D Framework for FMCG in Eastern India
  Abstract The FMCG industry in East India (West Bengal, Odisha, Bihar, Jharkhand and North Eastern States) is at an inflection point. Hybrid sales architectures have appeared rapidly in the last decade, changing the traditional sales environment and promoting o…
  preprints 2026 置信度 0.74
• Emergent sensorimotor representations in Large Language Models: Revisiting human-machine alignment on sensorimotor intuitions of concepts
  Abstract Sensorimotor knowledge is vital for biological systems to build conceptual representations and interact with the physical world, yet whether and to what extent large language models (LLMs) can compensate for absent grounding remains an open question. …
  preprints 2026 置信度 0.74
• AI-assisted Preoperative Planning Combined with Robotic-assisted Total Knee Arthroplasty vs. Conventional Surgery: A Retrospective Controlled Study
  Abstract Objective: To compare perioperative outcomes and early functional recovery between AI-robotic and conventional total knee arthroplasty (TKA). Methods: We retrospectively analyzed data from 88 patients who underwent primary unilateral TKA for knee oste…
  preprints 2025 置信度 0.74
• Systematic scoping review and ethical analysis of digital health interventions for dementia and cognitive decline
  Abstract Digital health interventions (DHIs) support people with dementia, mild cognitive impairment (MCI), and subjective cognitive decline (SCD), but evidence and ethical reporting are fragmented. We searched five databases on 9 October 2025 and included 113…
  preprints 2026 置信度 0.74
• Accuracy of Dermal Therapists in Identifying Suspicious Skin Lesions with and Without Clinical Decision Support: A Prospective Cross-over Validation Study
  Abstract The global incidence of skin cancer continues to rise. Dermal therapists, licensed allied health professionals (AHPs), play an important role in risk screening; however, their accuracy in identifying suspicious skin lesions remains unevaluated. This s…
  preprints 2026 置信度 0.74
• Behavioural determinants of testing behaviour during a hypothetical avian influenza outbreak: an interview study
  Background Avian Influenza (AI) is a potential pandemic threat, specifically when human-to-human transmission occurs. For outbreak management testing is essential. Current knowledge on testing behaviour is mostly derived from other infectious diseases such as …
  preprints 2026 置信度 0.74
• Pathways from AI Literacy to Sustained Engagement with AI-Powered Cognitive Behavioural Therapy: A Structural Equation Model with Moderated Mediation in a National UK Sample
  ABSTRACT Background AI-powered cognitive behavioural therapy (AI-CBT) tools hold significant promise for addressing the global mental health treatment gap, yet sustained user engagement remains critically low. While patient attitudes and experiential factors h…
  preprints 2026 置信度 0.74
• Human-Alignment Influences the Utility of AI-assisted Decision Making
  Abstract Whenever an AI model is used to predict a relevant (binary) outcome in AI-assisted decision making, it is widely agreed that, together with each prediction, the model should provide an AI confidence value. However, it has been unclear why decision mak…
  preprints 2025 置信度 0.74
• Artificial-Intelligence informed exercise prescriptions in primary care: Perspectives from people with long-term conditions, their carers, and healthcare professionals
  Abstract Background Exercise is an important component of managing Long-Term Conditions (LTCs) and can improve health outcomes. Artificial intelligence (AI)-based exercise prescription software has the potential to support exercise amongst people with LTC. How…
  preprints 2025 置信度 0.74
• AI–Family Integration Index (AFII): Benchmarking a New Global Readiness for AI as Family
  As Artificial Intelligence (AI) systems increasingly permeate emotionally sensitive and caregiving domains—such as eldercare, education, therapy, and family life—there is a growing need to assess national readiness beyond infrastructure, research output, or in…
  preprints 2025 置信度 0.74
• QSAR-Guided Generative Framework for the Discovery of Synthetically Viable Odorants
  Abstract The discovery of novel odorant molecules is key for the fragrance and flavor industries, yet efficiently navigating the vast chemical space to identify structures with desirable olfactory properties remains a significant challenge. Generative artifici…
  preprints 2026 置信度 0.74
• Bridging Evidence and Practice – Assessing the Usefulness of Randomized Controlled Trials in PCOS Related Infertility Published 2014–2024: A Systematic Review
  Background: Polycystic ovary syndrome (PCOS) is the leading cause of anovulatory infertility. Although numerous randomized controlled trials (RCTs) have evaluated treatment options, their clinical applicability remains unclear. Objectives: To evaluate the clin…
  preprints 2025 置信度 0.74
• Creating Equity? A Process Evaluation of <i>Jamkesus Disabilitas</i> , A Disability-Focused Health Financing Scheme in Yogyakarta, Indonesia
  Background This study aims to explore the initiation and implementation of Jamkesus Disabilitas , a health financing scheme for people with disabilities in Yogyakarta Province, using the UK Medical Research Council (MRC) Process Evaluation for Complex Interven…
  preprints 2026 置信度 0.74
• Holding Sustainability Promises in Politics: Trends in Ecosystem and Resource Management in Electoral Party Manifestos
  Achieving Sustainable Development Goals (SDGs) remains a critical global challenge. This study analyses the environmental priorities related to SDGs 12, 14 and 15 - interlinked and focused on responsible production and consumption, life below water, and life o…
  preprints 2025 置信度 0.74
• Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond
  The advancements in generative AI inevitably raise concerns about their risks and safety implications, which, in return, catalyzes significant progress in AI safety. However, as this field continues to evolve, a critical question arises: are our current effort…
  preprints 2025 置信度 0.74
• A Bibliometric investigation of Artificial Intelligence in Technical and Vocational Education Training (AI-TVET): Trends and insights for a decade
  Abstract The integration of Artificial Intelligence (AI) in Technical and Vocational Education and Training (TVET) has gained significant traction over the past decade. AI-driven technologies are transforming skills acquisition, workforce development, and educ…
  preprints 2025 置信度 0.74
• AI-Driven and Automated Continuous Oxygen Saturation Monitoring and LTOT: A Systematic Review
  Background Long-term oxygen therapy (LTOT) is essential for patients with chronic hypoxemia, particularly due to chronic obstructive pulmonary disease (COPD). However, conventional LTOT relies on static oxygen flow rates that fail to reflect patients’ fluctuat…
  preprints 2025 置信度 0.74
• Interoperability in Digital Healthcare: Enhancing Consumer Health and Transforming Care Systems
  Background: Interoperability is a central pillar of digital healthcare transformation that enables the smooth transfer of healthcare information, care coordination, and the performance of healthcare systems. Complete interoperability is still a daunting vision…
  preprints 2025 置信度 0.74
• AI-Assisted Pneumonia Detection, Localisation and Report Generation from Chest X-rays
  Pneumonia detection in chest X-rays (CXRs) is complicated by high inter-observer variability and overlapping radiographic patterns. While deep learning (DL) solutions show promise, limitations in generalisability and explainability hinder clinical adoption. We…
  preprints 2026 置信度 0.74
• Simulated-patient evaluations during formative interviews predict exam performance better than self-report empathy and emotion recognition abilities
  Abstract Background Communication skills are central to clinical practice and are typically assessed through Objective Structured Clinical Examinations (OSCEs). Prior research indicates that self-report questionnaires, simulated-patient evaluations, and expert…
  preprints 2026 置信度 0.74
• MorphoLearn: A morphology-driven workflow to decipher 3D electron microscopy segmentation in diatoms
  Three-dimensional electron microscopy (3D EM) enables the quantitative analysis of cellular ultrastructure. However, large-scale segmentation of whole-cell volumes poses a significant challenge, especially in biologically diverse systems. Unlike medical and an…
  preprints 2026 置信度 0.74
• Quality of Human Expert vs. Large Language Model Generated Multiple Choice Questions in the Field of Mechanical Ventilation
  Background Mechanical ventilation (MV) is a critical competency in critical care training, yet standardized methods for assessing MV-related knowledge are lacking. Traditional multiple-choice question (MCQ) development is resource-intensive, and prior studies …
  preprints 2025 置信度 0.74
• Predictors and determinants of public trust in AI and software as a medical device for healthcare in UK: Evidence from the RADIANT Voices Study
  Abstract Objective To identify sociodemographic, experiential and attitudinal determinants of public trust in artificial intelligence (AI) and software as a medical device (SaMD) in UK healthcare, focusing on trust in AI-assisted clinical decision-making under…
  preprints 2026 置信度 0.74
• Cell type–resolved transcriptomic map of skeletal muscle in women with polycystic ovary syndrome
  Abstract Polycystic ovary syndrome (PCOS) is associated with skeletal muscle insulin resistance, fibrosis, and lipotoxicity, yet the cellular origins remain unknown. Here, we present a comprehensive cellular atlas of skeletal muscle from hyperinsulinemic and h…
  preprints 2026 置信度 0.74
• Aligning IT and Business Strategies: Achievements and Challenges – A Systematic Literature Review
  Aligning Information Technology (IT) with business strategies is crucial for improving operational efficiency, innovation, and competitiveness, particularly in small and medium-sized enterprises (SMEs). However, SMEs face unique challenges in achieving this al…
  preprints 2024 置信度 0.74
• Developing immersive virtual exposures for obsessive-compulsive disorder – Protocol for a Randomised, Controlled, Proof-of-Concept Feasibility Trial
  Abstract Background Exposure and response prevention (ERP) is the gold-standard psychological treatment for obsessive compulsive disorder (OCD). However, its delivery typically requires frequent therapist availability and repeated patient travel to treatment s…
  preprints 2026 置信度 0.74
• Perinatal risk factors, DNA methylation and the development of ADHD symptoms: a high-dimensional mediation analysis
  Background Attention-deficit/hyperactivity disorder (ADHD) is associated with perinatal and genetic risk factors, including prenatal maternal smoking, pre-pregnancy BMI, gestational age, birth weight, and common genetic variants. These risk factors, as well as…
  preprints 2026 置信度 0.74
• A Comprehensive Solution for the Safety and Controllability of Artificial Superintelligence
  As artificial intelligence technology rapidly advances, it is likely to implement Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI) in the future. The highly intelligent ASI systems could be manipulated by malicious humans or indepen…
  preprints 2024 置信度 0.74
• The Evolutionary Framework for Human-Machine Alignment
  The rapid development of advanced AI technologies poses serious existential threats and necessitates research on safe and responsible Human-AI alignment. We hypothesize that the evolution of AI may be viewed not as something accidental or artificial, but as a …
  preprints 2024 置信度 0.74
• Building a prediction model for outcomes following treatment in UK NHS Talking Therapies services for depression and anxiety
  Background Depression and anxiety are common mental health conditions in the UK. NHS Talking Therapies offers evidence-based therapies and is the largest provider of treatment, yet, only 50% of patients recover. Accurate outcome prediction could identify those…
  preprints 2026 置信度 0.74
• AlphaFold Database expands to proteome-scale quaternary structures
  Protein function is governed by molecular interactions, yet structural coverage of these interactions remains sparse. The AlphaFold Protein Structure Database (AFDB) transformed access to accurate monomeric protein structures at scale. Here, we expand the AFDB…
  preprints 2026 置信度 0.74
• The Moral Turing Test: Evaluating Human-LLM Alignment in Moral Decision-Making
  As large language models (LLMs) become increasingly integrated into society, their alignment with human morals is crucial. To better understand this alignment, we created a large corpus of human and LLM-generated responses to various moral scenarios. We found …
  preprints Stefano Palminteri, Basile Garcia, Crystal Qian 2024 置信度 0.74 Turing testTest (biology)TuringMoral reasoningMoral dilemma
• shamiriOS: Development and Early Deployment of an Integrated Digital Platform for Scalable Youth Mental Health Service Delivery in Kenya
  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 2025 置信度 0.74
• A Biologically Constrained Continuous-Time Framework for Long-Horizon Cognition Forecasting in Alzheimer’s Disease
  Accurate long-term forecasting of cognitive trajectories across the Alzheimer’s disease continuum is essential for early intervention, personalized prognosis, patient stratification, and clinical trial enrichment. Despite the promising predictive performance o…
  preprints 2026 置信度 0.74
• Generalise or Memorise? Benchmarking Ligand-Conditioned Protein Generation from Sequence-Only Data
  Proteins can bind small molecules with high specificity. However, designing proteins that bind userdefined ligands remains a challenge, typically relying on structural information and costly experimental iteration. While protein language models (pLMs) have sho…
  preprints 2026 置信度 0.74
• The FAIRSCAPE AI-readiness Framework for Biomedical Research
  Objective Biomedical datasets intended for use in AI applications require packaging with rich pre-model metadata to support model development that is explainable, ethical, epistemically grounded and FAIR (Findable, Accessible, Interoperable, Reusable). Methods…
  preprints 2024 置信度 0.74
• Managerial Competence in Integrating Industry 4.0 with CSR for Enhanced Safety Culture in Manufacturing
  The integration of Industry 4.0 technologies with Corporate Social Responsibility (CSR) initiatives offers transformative potential for enhancing safety culture in manufacturing. This study investigates how managerial competence facilitates the alignment of to…
  preprints 2025 置信度 0.74
• Clinical and environmental wastewater-based bacteriophage surveillance for high-impact diarrheal diseases, including cholera, in Bangladesh
  Bacteriophages (phages) likely play a critical role in modulating transmission dynamics of diarrheal pathogens. This study investigated the role of phages in modulating the prevalence and seasonal patterns of major diarrheal pathogens, Vibrio cholerae O1 (VCO1…
  preprints 2025 置信度 0.74
• Bridging surveillance gaps in dengue: a hierarchical model integrating mixed data sources for transmission estimation and vaccine targeting
  ABSTRACT Estimating dengue force of infection (FOI) is essential for understanding transmission dynamics and targeting intervention programmes, yet surveillance data in endemic settings required for estimations are often incomplete, with varying formats. We de…
  preprints 2026 置信度 0.74
• 100% Hallucination Elimination Using Acurai
  The issue of hallucinations in large language models (LLMs) remains a critical barrier to the adoption of AI in enterprise and other high-stakes applications. Despite advancements in retrieval-augmented generation (RAG) systems, current state-of-the-art method…
  preprints 2024 置信度 0.74
• Autonomous Microscopy Experiments through Large Language Model Agents
  Abstract The emergence of large language models (LLMs) has accelerated the development of self-driving laboratories (SDLs) for materials research. Despite their transformative potential, current SDL implementations rely on rigid, predefined protocols that limi…
  preprints 2024 置信度 0.74
• Optimizing Alignment with Progressively Selective Weight Enhancement in Large Language Models
  The rapid proliferation of AI-driven technologies has demonstrated the need for models that not only perform well but also align with ethical standards and user expectations. The concept of progressively selective weight enhancement represents a novel approach…
  preprints 2024 置信度 0.74
• Accelerating Quality Midwifery Education: Identifying Educators’ Professional Development Needs
  Abstract Background The quality of midwifery education and by extension, the quality of care, is influenced by the capabilities of those who educate future midwives. Ensuring that midwifery educators in Bangladesh, where midwifery is a new profession, are well…
  preprints 2026 置信度 0.74
• Challenges of open access adoption in low-resource settings: Lessons from Tunisia
  Abstract This study examines the adoption and impact of open access (OA) publishing in Tunisia. It uses Scopus data to analyse trends, citation metrics, alignment with the Sustainable Development Goals (SDGs), and funding sources. Over 60% of Tunisian publicat…
  preprints 2025 置信度 0.74
• Could an LLM Qualify for the MIT Integration Bee? An AI Learning Experiment
  The MIT Integration Bee is a well-known competition showcasing students’ proficiency in advanced calculus integration. This experimental study investigates whether large language models (LLMs)—including eleven versions of ChatGPT and Claude—can solve and evalu…
  preprints 2025 置信度 0.74
• A robust framework for harmonising health measures across international cohorts: Evidence from the COVID-19 pandemic
  Cross-national research on health trajectories requires harmonised measures that are valid and comparable. However, measurement scales often differ between cohorts in item content and cultural context. We present a structured framework to harmonise mental heal…
  preprints 2025 置信度 0.74
• Serial Comptroller Networks
  This paper continues the series of theoretical reports on friendly AI alignment. Friendly AI alignment is a failsafe alignment capable of operating beyond Artificial General Intelligence threshold, where direct control is not feasible and human safety is threa…
  preprints 2024 置信度 0.74
• Dynamic Semantic Alignment in Large Language Models for Contextual Vector Transformation
  The evolution of artificial intelligence has introduced models capable of capturing complex linguistic patterns, yet existing architectures often struggle with dynamically adapting to diverse contextual shifts. Addressing this gap, the novel framework of Dynam…
  preprints 2024 置信度 0.74
• Novel Energy Balance Tracking to Support Personalised AI Health Coaching: A Real-World Evaluation of the ENHANCE Framework
  Abstract Background: Energy balance (EB) is the key determinant of fat gain, yet accurate EB tracking is difficult outside laboratory settings. Traditional methods are burdensome (e.g. food-logs) or lack daily resolution (e.g. body weight monitoring), limiting…
  preprints 2025 置信度 0.74
• Improved Value Alignment in Large Language Models Using Variational Best-of-N Techniques
  Abstract Large language models have shown high capabilities in generating human-like text and performing complex language-related tasks, yet they face significant challenges regarding value alignment to prevent the generation of harmful or biased content. The …
  preprints Xiaofei Wang, Jinhua Li, Yifan Zhang 2024 置信度 0.74
• Muscle-3D: scalable multiple protein structure alignment
  ABSTRACT Protein multiple alignment is an essential step in many bioinformatics analysis such as phylogenetic tree estimation, HMM construction and critical residue identification. Structure is conserved between distantly-related proteins where amino acid simi…
  preprints 2024 置信度 0.74
• Integrated analyses of longitudinal trends of antibiotic-resistant bacteria in wastewater, clinical resistance data, and antibiotic consumption in Switzerland
  Antimicrobial resistance (AMR) surveillance requires approaches that monitor both clinical and community-level dynamics. We monitored antibiotic-resistant bacteria in Swiss wastewater and compared these results with human resistance and antibiotic consumption …
  preprints 2025 置信度 0.74
• Systematic Characterization of the Effectiveness of Alignment in Large Language Models for Categorical Decisions
  As large language models (LLMs) are increasingly deployed in high-stakes domains like healthcare, understanding how well their decision-making aligns with human preferences and values becomes crucial, especially when we recognize that there is no single gold s…
  preprints 2024 置信度 0.74
• Balancing Locality and Reconstruction in Protein Structure Tokenizer
  The structure of a protein is crucial to its biological function. With the expansion of available protein structures, such as those in the AlphaFold Protein Structure Database (AFDB), there is an increasing need for efficient methods to index, search, and gene…
  preprints 2024 置信度 0.74
• Strategic Transformation and Sustainability: Unveiling the EFQM Model 2025
  The EFQM Model, established in 1991, serves as a framework for organizational excellence, helping achieve sustainable success through an integrated management system. The model&#039;s evo-lution is driven by the need to adapt to global trends, threats, and tec…
  preprints 2024 置信度 0.74
• Phytoplankton Assemblages as Indicators of Environmental Changes in Afrotropical Reservoirs: A Study of Hydrological Impacts and Water Quality
  Abstract Reservoirs are crucial to Nigeria's landscape and electricity generation; however, their establishment poses significant ecological challenges, particularly concerning water quality and phytoplankton dynamics. This research investigates phytoplankton …
  preprints 2024 置信度 0.74
• Prediction of exosomal miRNA-based biomarkers for liquid biopsy
  In this study, we investigated the properties of exosomal miRNAs to identify potential biomarkers for liquid biopsy. We collected 956 exosomal and 956 non-exosomal miRNA sequences from RNALocate and miRBase to develop predictive models. Our initial analysis re…
  preprints 2024 置信度 0.74
• Hidden Biases of End-to-End Driving Datasets
  End-to-end driving systems have made rapid progress, but have so far not been applied to the challenging new CARLA Leaderboard 2.0. Further, while there is a large body of literature on end-to-end architectures and training strategies, the impact of the traini…
  arxiv Julian Zimmerlin, Jens Beißwenger, Bernhard Jaeger, Andreas Geiger 等 2024-12-12T18:59:13Z 置信度 0.78 cs.CVcs.AIcs.LGcs.RO
• All-in-one platform for AI R&amp;D in medical imaging, encompassing data collection, selection, annotation, and pre-processing
  Deep Learning is advancing medical imaging Research and Development (R&amp;D), leading to the frequent clinical use of Artificial Intelligence/Machine Learning (AI/ML)-based medical devices. However, to advance AI R&amp;D, two challenges arise: 1) significant …
  arxiv Changhee Han, Kyohei Shibano, Wataru Ozaki, Keishiro Osaki 等 2024-03-10T09:24:53Z 置信度 0.78 cs.CVcs.AI
• Towards a Learner-Centered Explainable AI: Lessons from the learning sciences
  In this short paper, we argue for a refocusing of XAI around human learning goals. Drawing upon approaches and theories from the learning sciences, we propose a framework for the learner-centered design and evaluation of XAI systems. We illustrate our framewor…
  arxiv Anna Kawakami, Luke Guerdan, Yang Cheng, Anita Sun 等 2022-12-11T19:53:22Z 置信度 0.78 cs.HC
• Operational range bounding of spectroscopy models with anomaly detection
  Safe operation of machine learning models requires architectures that explicitly delimit their operational ranges. We evaluate the ability of anomaly detection algorithms to provide indicators correlated with degraded model performance. By placing acceptance t…
  arxiv Luís F. Simões, Pierluigi Casale, Marília Felismino, Kai Hou Yip 等 2024-08-05T15:59:36Z 置信度 0.78 cs.LGastro-ph.IM
• Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations
  Ensuring the safe alignment of large language models (LLMs) with human values is critical as they become integral to applications like translation and question answering. Current alignment methods struggle with dynamic user intentions and complex objectives, m…
  arxiv Rima Hazra, Sayan Layek, Somnath Banerjee, Soujanya Poria 2024-06-17T17:48:13Z 置信度 0.78 cs.CL
• Language Models are Alignable Decision-Makers: Dataset and Application to the Medical Triage Domain
  In difficult decision-making scenarios, it is common to have conflicting opinions among expert human decision-makers as there may not be a single right answer. Such decisions may be guided by different attributes that can be used to characterize an individual'…
  arxiv Brian Hu, Bill Ray, Alice Leung, Amy Summerville 等 2024-06-10T16:25:23Z 置信度 0.78 cs.CLcs.AI
• Multi-epoch spectro-photometric characterization of the minimoon 2024 PT$_5$ in the visible and near-infrared
  2024 PT$_5$ is a tiny ($D\leq10$ m) near-Earth asteroid (NEA) discovered in August 2024. 2024 PT$_5$ was gravitationally bound to the Earth-Moon system from September to November 2024 and classified as a minimoon. Several quick response observations suggest th…
  arxiv Jin Beniyama, Bryce T. Bolin, Alexey V. Sergeyev, Marco Delbo 等 2025-07-14T17:50:03Z 置信度 0.78 astro-ph.EP
• Measuring Error Alignment for Decision-Making Systems
  Given that AI systems are set to play a pivotal role in future decision-making processes, their trustworthiness and reliability are of critical concern. Due to their scale and complexity, modern AI systems resist direct interpretation, and alternative ways are…
  arxiv Binxia Xu, Antonis Bikakis, Daniel Onah, Andreas Vlachidis 等 2024-09-20T21:59:13Z 置信度 0.78 cs.AI
• Agentic AI for Clinical Urgency Mapping and Queue Optimization in High-Volume Outpatient Departments: A Simulation-Based Evaluation
  Outpatient departments (OPDs) in Indian public hospitals face severe overcrowding, with daily volumes reaching 200--8,000 patients~\cite{aiims2020annual}. The prevailing First-Come-First-Served (FCFS) token system treats all patients equally regardless of clin…
  arxiv Ravish Gupta, Saket Kumar, Maulik Dang 2026-03-31T20:32:21Z 置信度 0.78 eess.SY
• Toward Cultural Alignment: Human-Centered Evaluation of Multimodal AI Stories Across Five African Communities
  In this paper, we examine how well AI-generated multimodal stories align with the lived practices, relationships, language, values, and visual expectations of the communities they represent. We conduct a community-grounded mixed-methods evaluation with 19 cult…
  arxiv Millicent Ochieng, Felermino D. M. A. Ali, Elizabeth A. Ankrah, Najeeb Gambo Abdulhamid 等 2026-08-29T11:45:39Z 置信度 0.78 cs.CLcs.HC
• Global fit to $b \to cτν$ anomalies as of Spring 2024
  Recently, several new experimental results of the test of lepton flavor universality (LFU) in $B\to D^{(\ast)}$ semi-leptonic decays were announced: the first result of $R_{D}$ from the LHCb Run 1 data, the first results of $R_{D}$ and $R_{D^\ast}$ from the LH…
  arxiv Syuhei Iguro, Teppei Kitahara, Ryoutaro Watanabe 2024-04-08T12:30:17Z 置信度 0.78 hep-phhep-ex
• Evolution of central galaxy alignments in simulations
  Observations suggest that red central galaxies align closely with their group galaxies and the large-scale environment.This finding was also replicated in simulations, which added information about the alignment of the stars that form the galaxies with the dar…
  arxiv Facundo Rodriguez, Manuel Merchán, M. Celeste Artale 2024-05-03T18:00:02Z 置信度 0.78 astro-ph.CO
• WordDecipher: Enhancing Digital Workspace Communication with Explainable AI for Non-native English Speakers
  Non-native English speakers (NNES) face challenges in digital workspace communication (e.g., emails, Slack messages), often inadvertently translating expressions from their native languages, which can lead to awkward or incorrect usage. Current AI-assisted wri…
  arxiv Yuexi Chen, Zhicheng Liu 2024-04-10T13:40:29Z 置信度 0.78 cs.HCcs.AIcs.CL
• Fermionic equations of motion in strongly-correlated media: applications to the nuclear many-body problem
  These notes summarise the lectures given at the International School of Physics "Enrico Fermi" in Summer 2024 in Varenna (Italy) about the strongly coupled quantum many-body theory and its applications to nuclear structure. The lectures present a rather short …
  arxiv Elena Litvinova 2024-12-24T06:34:29Z 置信度 0.78 nucl-thnucl-ex
• Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models
  As the use of Large Language Models (LLMs) becomes more widespread, understanding their self-evaluation of confidence in generated responses becomes increasingly important as it is integral to the reliability of the output of these models. We introduce the con…
  arxiv Abhishek Kumar, Robert Morabito, Sanzhar Umbet, Jad Kabbara 等 2024-05-25T15:42:04Z 置信度 0.78 cs.CLcs.AIcs.LG
• AASIST3: KAN-Enhanced AASIST Speech Deepfake Detection using SSL Features and Additional Regularization for the ASVspoof 2024 Challenge
  Automatic Speaker Verification (ASV) systems, which identify speakers based on their voice characteristics, have numerous applications, such as user authentication in financial transactions, exclusive access control in smart devices, and forensic fraud detecti…
  arxiv Kirill Borodin, Vasiliy Kudryavtsev, Dmitrii Korzh, Alexey Efimenko 等 2024-08-30T15:30:01Z 置信度 0.78 cs.SDcs.AIeess.AS
• ToolAnchor: Anchoring Counterfactual Context to Boost Agentic Tool-use Capability
  Tool-augmented large language model agents excel at long-horizon tasks, yet they are typically post-trained on fixed toolsets. When tasks demand new tools, these agents struggle to incorporate them effectively, and retraining from scratch is often impractical.…
  arxiv Weiting Liu, Jieyi Bi, Wanqi Zhou, Jianfeng Feng 等 2026-07-14T06:03:39Z 置信度 0.78 cs.AIcs.CVcs.LG
• Selective Weak-to-Strong Generalization
  Future superhuman models will surpass the ability of humans and humans will only be able to \textit{weakly} supervise superhuman models. To alleviate the issue of lacking high-quality data for model alignment, some works on weak-to-strong generalization (W2SG)…
  arxiv Hao Lang, Fei Huang, Yongbin Li 2025-11-18T06:03:25Z 置信度 0.78 cs.CLcs.AI
• The Programmable Liquid-crystal Active Coronagraphic Imager for the DAG telescope (PLACID) instrument: On-site status update ahead of first light
  The Programmable Liquid-crystal Active Coronagraphic Imager for the DAG telescope (PLACID) instrument is a novel high-contrast direct imaging facility that was recently delivered to the Turkish 4-m DAG telescope, with first light anticipated by the end of 2024…
  arxiv Jonas G. Kühn, Laurent Jolissaint, Audrey Baur, Liurong Lin 等 2024-08-20T14:21:10Z 置信度 0.78 astro-ph.IM
• Unveiling Hidden Factors: Explainable AI for Feature Boosting in Speech Emotion Recognition
  Speech emotion recognition (SER) has gained significant attention due to its several application fields, such as mental health, education, and human-computer interaction. However, the accuracy of SER systems is hindered by high-dimensional feature sets that ma…
  arxiv Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian Mishara 2024-06-01T00:39:55Z 置信度 0.78 eess.AScs.AIcs.CLcs.LGcs.SD
• OTTAWA: Optimal TransporT Adaptive Word Aligner for Hallucination and Omission Translation Errors Detection
  Recently, there has been considerable attention on detecting hallucinations and omissions in Machine Translation (MT) systems. The two dominant approaches to tackle this task involve analyzing the MT system's internal states or relying on the output of externa…
  arxiv Chenyang Huang, Abbas Ghaddar, Ivan Kobyzev, Mehdi Rezagholizadeh 等 2024-06-04T03:00:55Z 置信度 0.78 cs.CL
• Breaking the Script Barrier in Multilingual Pre-Trained Language Models with Transliteration-Based Post-Training Alignment
  Multilingual pre-trained models (mPLMs) have shown impressive performance on cross-lingual transfer tasks. However, the transfer performance is often hindered when a low-resource target language is written in a different script than the high-resource source la…
  arxiv Orgest Xhelili, Yihong Liu, Hinrich Schütze 2024-06-28T08:59:24Z 置信度 0.78 cs.CL
• JWST's Constraints on the Substellar IMF in NGC 2024
  A recent study has reported the detection of a turnover in the initial mass function (IMF) below 12 Mjup and the possible detection of a minimum mass near 3 Mjup in the heavily embedded cluster NGC 2024 (&lt;1 Myr), which was based on a sample of brown dwarf c…
  arxiv K. L. Luhman 2026-07-30T14:28:02Z 置信度 0.78 astro-ph.GA
• GenomeFingerprinter and universal genome fingerprint analysis for systematic comparative genomics
  How to compare whole genome sequences at large scale has not been achieved via conventional methods based on pair-wisely base-to-base comparison; nevertheless, no attention was paid to handle in-one-sitting a number of genomes crossing genetic category (chromo…
  arxiv Yuncan Ai, Hannan Ai, Fanmei Meng, Lei Zhao 2013-03-10T02:47:09Z 置信度 0.78 q-bio.GNcs.CEmath.NA
• Enhancing Lip Reading with Multi-Scale Video and Multi-Encoder
  Automatic lip-reading (ALR) aims to automatically transcribe spoken content from a speaker's silent lip motion captured in video. Current mainstream lip-reading approaches only use a single visual encoder to model input videos of a single scale. In this paper,…
  arxiv He Wang, Pengcheng Guo, Xucheng Wan, Huan Zhou 等 2024-04-08T12:44:24Z 置信度 0.78 cs.CV
• Standardization Trends on Safety and Trustworthiness Technology for Advanced AI
  Artificial Intelligence (AI) has rapidly evolved over the past decade and has advanced in areas such as language comprehension, image and video recognition, programming, and scientific reasoning. Recent AI technologies based on large language models and founda…
  arxiv Jonghong Jeon 2024-10-29T15:50:24Z 置信度 0.78 cs.LGcs.AIcs.SE
• PatchAlign:Fair and Accurate Skin Disease Image Classification by Alignment with Clinical Labels
  Deep learning models have achieved great success in automating skin lesion diagnosis. However, the ethnic disparity in these models' predictions needs to be addressed before deploying them. We introduce a novel approach, PatchAlign, to enhance skin condition i…
  arxiv Aayushman, Hemanth Gaddey, Vidhi Mittal, Manisha Chawla 等 2024-09-08T05:00:37Z 置信度 0.78 cs.CVcs.LG
• AI Awareness
  Recent breakthroughs in artificial intelligence (AI) have brought about increasingly capable systems that demonstrate remarkable abilities in reasoning, language understanding, and problem-solving. These advancements have prompted a renewed examination of AI a…
  arxiv Xiaojian Li, Haoyuan Shi, Rongwu Xu, Wei Xu 2025-04-25T16:03:50Z 置信度 0.78 cs.AIcs.CLcs.CY
• Trustworthy AI in practice: an analysis of practitioners' needs and challenges
  Recently, there has been growing attention on behalf of both academic and practice communities towards the ability of Artificial Intelligence (AI) systems to operate responsibly and ethically. As a result, a plethora of frameworks and guidelines have appeared …
  arxiv Maria Teresa Baldassarre, Domenico Gigante, Marcos Kalinowski, Azzurra Ragone 等 2024-05-15T13:02:46Z 置信度 0.78 cs.CYcs.AIcs.SE
• 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…
  arxiv Chunyi Li, Tengchuan Kou, Yixuan Gao, Yuqin Cao 等 2024-04-04T12:12:24Z 置信度 0.78 cs.CV
• On the Whitney distortion extension problem for $C^m(\mathbb R^n)$ and $C^{\infty}(\mathbb R^n)$ and its applications to interpolation and alignment of data in $\mathbb R^n$
  In this announcement we consider the following problem. Let $n,m\geq 1$, $U\subset\mathbb R^n$ open. In this paper we provide a sharp solution to the following Whitney distortion extension problems: (a) Let $φ:U\to \mathbb R^n$ be a $C^m$ map. If $E\subset U$ …
  arxiv S. B Damelin, C. Fefferman 2015-05-26T13:53:54Z 置信度 0.78 math.CA
• Randomstrasse101: Open Problems of 2024
  $\texttt{Randomstrasse101}$ 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 2024, with…
  arxiv Afonso S. Bandeira, Anastasia Kireeva, Antoine Maillard, Almut Rödder 2025-04-29T08:32:59Z 置信度 0.78 math.PRcs.ITmath.COmath.OCmath.ST
• A Survey on Open Information Extraction from Rule-based Model to Large Language Model
  Open Information Extraction (OpenIE) represents a crucial NLP task aimed at deriving structured information from unstructured text, unrestricted by relation type or domain. This survey paper provides an overview of OpenIE technologies spanning from 2007 to 202…
  arxiv Pai Liu, Wenyang Gao, Wenjie Dong, Lin Ai 等 2022-08-18T08:03:45Z 置信度 0.78 cs.CL
• Non-rigid Relative Placement through 3D Dense Diffusion
  The task of "relative placement" is to predict the placement of one object in relation to another, e.g. placing a mug onto a mug rack. Through explicit object-centric geometric reasoning, recent methods for relative placement have made tremendous progress towa…
  arxiv Eric Cai, Octavian Donca, Ben Eisner, David Held 2024-10-25T01:54:17Z 置信度 0.78 cs.ROcs.AIcs.CVcs.LG
• The Cosmological Parameters (2023)
  This is a review article for The Review of Particle Physics 2024 (aka the Particle Data Book), appearing as Chapter 25. It forms a compact review of knowledge of the cosmological parameters near the end of 2023. Topics included are Parametrizing the Universe; …
  arxiv Ofer Lahav, Andrew R Liddle 2024-03-22T14:17:59Z 置信度 0.78 astro-ph.CO
• LegalOne: A Family of Foundation Models for Reliable Legal Reasoning
  While Large Language Models (LLMs) have demonstrated impressive general capabilities, their direct application in the legal domain is often hindered by a lack of precise domain knowledge and complexity of performing rigorous multi-step judicial reasoning. To a…
  arxiv Haitao Li, Yifan Chen, Shuo Miao, Qian Dong 等 2026-01-31T10:18:32Z 置信度 0.78 cs.CL
• AI Hardware Accelerators for Large Language Models: Architectures and the Memory Wall
  Large language models (LLMs) place unprecedented and still-growing demands on the hardware that trains and serves them. This review surveys the full landscape of AI hardware accelerators for LLMs, including general-purpose GPUs, custom ASICs such as TPUs, Trai…
  arxiv Siddharth Patel, Rohit Singh 2026-08-28T08:10:01Z 置信度 0.78 cs.ARcs.DC
• MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing Systems
  Workflow scheduling is a long-studied problem in parallel and distributed computing (PDC), aiming to efficiently utilize compute resources to meet user's service requirements. Recently proposed scheduling methods leverage the low response times of edge computi…
  arxiv Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings 2021-12-14T10:00:01Z 置信度 0.78 cs.DCcs.AIcs.PF
• Exploring AI-enhanced Shared Control for an Assistive Robotic Arm
  Assistive technologies and in particular assistive robotic arms have the potential to enable people with motor impairments to live a self-determined life. More and more of these systems have become available for end users in recent years, such as the Kinova Ja…
  arxiv Max Pascher, Kirill Kronhardt, Jan Freienstein, Jens Gerken 2023-06-23T14:19:56Z 置信度 0.78 cs.HCcs.AIcs.RO