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• The Role of AI in Modern Aesthetic Dentistry
  Artificial intelligence (AI) is reshaping aesthetic dentistry by improving diagnostic precision, treatment planning, outcome predictability, and overall patient satisfaction. This review aims to systematically analyze the role of AI in aesthetic dentistry, hig…
  openalex Omar Adèl Ba-Zar, Nigar Mehtiyeva, Nasser Shadood Almizban 2025-09-11 置信度 0.72 InterpretabilityTransformative learningAdversarial systemHealth careNarrative review
• In system alignments we trust! Explainable alignments via projections
  Alignments are a well-known process mining technique for reconciling system logs and normative process models. Evidence of certain behaviors in a real system may only be present in one representation – either a log or a model – but not in the other. Since proc…
  openalex Dominique Sommers, Natalia Sidorova, Boudewijn F. van Dongen 2025-09-25 置信度 0.72 Computer scienceProcess (computing)Representation (politics)TrustworthinessArtificial intelligence
• Explainable AI for clinical and remote health applications: a survey on tabular and time series data
  Nowadays Artificial Intelligence (AI) has become a fundamental component of healthcare applications, both clinical and remote, but the best performing AI systems are often too complex to be self-explaining. Explainable AI (XAI) techniques are defined to unveil…
  openalex Flavio Di Martino, Franca Delmastro 2022-09-14 置信度 0.72 Computer scienceConsistency (knowledge bases)Relevance (law)Data scienceField (mathematics)
• Personalized AI for workplace health promotion: performance management and healthcare worker engagement through digital analytics
  Background: Artificial intelligence (AI) is increasingly being applied in healthcare work-places to promote worker wellbeing and optimize organizational performance. However, evidence on its effectiveness, adoption, and limitations remains fragmented. This sco…
  openalex Daniele Virgillito, Caterina Ledda 2026-01-13 置信度 0.72 Digital healthHealth careAnalyticsKnowledge managementOutcome (game theory)
• Explainable pedagogical alignment: auditing LLMs with learning theories
  openalex Daniel Domínguez Figaredo, José Luis Fernández Vindel, Laura Guerrero Puerta 2025-12-15 置信度 0.72 BehaviorismEducational technologyComputer scienceRelevance (law)Mathematics education
• Association between Characteristics at Birth, Breastfeeding and Obesity in 22 Countries: The WHO European Childhood Obesity Surveillance Initiative – COSI 2015/2017
  BACKGROUND: In Europe, although the prevalence of childhood obesity seems to be plateauing in some countries, progress on tackling this important public health issue remains slow and inconsistent. Breastfeeding has been described as a protective factor, and th…
  openalex Ana Isabel Rito, Marta Buoncristiano, Angela Spinelli, Benoît Salanave 等 2019-01-01 置信度 0.72 BreastfeedingMedicineObesityChildhood obesityDemography
• Generative AI for synthetic data in banking transactions: Balancing utility and compliance
  Data scarcity in regulated banking sectors often limits the training of machine learning models for fraud detection, risk assessment, and transaction pattern analysis. This paper explores the use of generative AI for producing high-fidelity synthetic banking t…
  openalex Praveen Kumar Reddy Gujjala 2025-03-30 置信度 0.72 Compliance (psychology)Generative grammarComputer scienceBusinessArtificial intelligence
• Bridging the Construction Productivity Gap—A Hierarchical Framework for the Age of Automation, Robotics, and AI
  The construction sector, facing a persistent productivity gap compared to other industries, is hindered by fragmented value streams, inconsistent performance metrics, and the limited scalability of process improvements. We introduce a pioneering, four-tiered h…
  openalex Michael Max Bühler, Konrad Nübel, Thorsten Jelinek, Lothar Köhler 等 2025-08-15 置信度 0.72 Bridging (networking)RoboticsAutomationProductivityArtificial intelligence
• Towards Experience-Centered AI: A Framework for Integrating Lived Experience in Design and Development
  Lived experiences fundamentally shape how individuals interact with AI systems, influencing perceptions of safety, trust, and usability. While prior research has focused on developing techniques to emulate human preferences, and proposed taxonomies to categori…
  openalex Sanjana Gautam, Mohit Chandra, Ankolika De, Tatiana Chakravorti 等 2025-10-15 置信度 0.72 Lived experienceCategorizationEngineering ethicsPerceptionKnowledge management
• AlphaFold3: An Overview of Applications and Performance Insights
  AlphaFold3, the latest release of AlphaFold developed by Google DeepMind and Isomorphic Labs, was designed to predict protein structures with remarkable accuracy. AlphaFold3 enhances our ability to model not only single protein structures but also complex biom…
  openalex Marios G. Krokidis, Dimitrios E. Koumadorakis, Konstantinos Lazaros, Ouliana Ivantsik 等 2025-04-13 置信度 0.72 Computational biologyComputer scienceDrug discoveryProtein–protein interactionSystems biology
• Reliability and Admissibility of AI-Generated Forensic Evidence in Criminal Trials
  This paper examines the admissibility of AI-generated forensic evidence in criminal trials. The growing adoption of AI presents promising results for investigative efficiency. Despite advancements, significant research gaps persist in practically understanding…
  arxiv Sahibpreet Singh, Lalita Devi 2025-12-17T17:56:10Z 置信度 0.78 cs.CYcs.AIcs.CR
• A Fourier Explanation of AI-music Artifacts
  The rapid rise of generative AI has transformed music creation, with millions of users engaging in AI-generated music. Despite its popularity, concerns regarding copyright infringement, job displacement, and ethical implications have led to growing scrutiny an…
  arxiv Darius Afchar, Gabriel Meseguer-Brocal, Kamil Akesbi, Romain Hennequin 2025-06-23T20:39:23Z 置信度 0.78 cs.SD
• Agentic AI for Intent-Based Industrial Automation
  The recent development of Agentic AI systems, empowered by autonomous large language models (LLMs) agents with planning and tool-usage capabilities, enables new possibilities for the evolution of industrial automation and reduces the complexity introduced by I…
  arxiv Marcos Lima Romero, Ricardo Suyama 2025-06-05T12:50:54Z 置信度 0.78 cs.LGeess.SY
• The Speed of Gravity and the Fate of Dark Energy
  On August 17$^{\rm th}$ 2017, observatories worldwide made a landmark detection: gravitational waves and light from a binary neutron star merger. This event revolutionized our understanding of astrophysics, cosmology, and gravitation. In this proceeding of the…
  arxiv Jeremy Sakstein, Bhuvnesh Jain 2025-11-24T22:37:49Z 置信度 0.78 astro-ph.COastro-ph.HEastro-ph.SRgr-qchep-ph
• Deep Transfer Learning Based Downlink Channel Prediction for FDD Massive MIMO Systems
  Artificial intelligence (AI) based downlink channel state information (CSI) prediction for frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems has attracted growing attention recently. However, existing works focus on the d…
  arxiv Yuwen Yang, Feifei Gao, Zhimeng Zhong, Bo Ai 等 2019-12-27T17:59:45Z 置信度 0.78 cs.ITcs.LGeess.SP
• MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI
  Since 2023, generative AI has rapidly advanced in the music domain. Despite significant technological advancements, music-generative models raise critical ethical challenges, including a lack of transparency and accountability, along with risks such as the rep…
  arxiv Roser Batlle-Roca, Laura Ibáñez-Martínez, Xavier Serra, Emilia Gómez 等 2025-07-04T14:12:19Z 置信度 0.78 cs.SDcs.AIcs.CYeess.AS
• Whisper Has an Internal Word Aligner
  There is an increasing interest in obtaining accurate word-level timestamps from strong automatic speech recognizers, in particular Whisper. Existing approaches either require additional training or are simply not competitive. The evaluation in prior work is a…
  arxiv Sung-Lin Yeh, Yen Meng, Hao Tang 2025-09-12T06:03:24Z 置信度 0.78 eess.AScs.CL
• Story Arena: A Multi-Agent Environment for Envisioning the Future of Software Engineering
  What better way to understand the impact of AI on software engineering than to ask AI itself? We constructed Story Arena, a multi-agent "writer's room" in which multiple AI agents, independently imbued with a position statement on the future of software engine…
  arxiv Justin D. Weisz, Michael Muller, Kush R. Varshney 2025-11-07T16:35:21Z 置信度 0.78 cs.HCcs.SE
• The AI Co-Ethnographer: How Far Can Automation Take Qualitative Research?
  Qualitative research often involves labor-intensive processes that are difficult to scale while preserving analytical depth. This paper introduces The AI Co-Ethnographer (AICoE), a novel end-to-end pipeline developed for qualitative research and designed to mo…
  arxiv Fabian Retkowski, Andreas Sudmann, Alexander Waibel 2025-04-21T21:31:28Z 置信度 0.78 cs.CLcs.AI
• Speech Vecalign: an Embedding-based Method for Aligning Parallel Speech Documents
  We present Speech Vecalign, a parallel speech document alignment method that monotonically aligns speech segment embeddings and does not depend on text transcriptions. Compared to the baseline method Global Mining, a variant of speech mining, Speech Vecalign p…
  arxiv Chutong Meng, Philipp Koehn 2025-09-22T19:37:20Z 置信度 0.78 cs.CL
• Beyond A Single AI Cluster: A Survey of Decentralized LLM Training
  The emergence of large language models (LLMs) has revolutionized AI development, yet the resource demands beyond a single cluster or even datacenter, limiting accessibility to well-resourced organizations. Decentralized training has emerged as a promising para…
  arxiv Haotian Dong, Jingyan Jiang, Rongwei Lu, Jiajun Luo 等 2025-03-14T02:43:29Z 置信度 0.78 cs.DC
• ADVISER: AI-Driven Vaccination Intervention Optimiser for Increasing Vaccine Uptake in Nigeria
  More than 5 million children under five years die from largely preventable or treatable medical conditions every year, with an overwhelmingly large proportion of deaths occurring in under-developed countries with low vaccination uptake. One of the United Natio…
  arxiv Vineet Nair, Kritika Prakash, Michael Wilbur, Aparna Taneja 等 2022-04-28T17:25:57Z 置信度 0.78 cs.AIcs.CY
• Towards practicable Machine Learning development using AI Engineering Blueprints
  The implementation of artificial intelligence (AI) in business applications holds considerable promise for significant improvements. The development of AI systems is becoming increasingly complex, thereby underscoring the growing importance of AI engineering a…
  arxiv Nicolas Weeger, Annika Stiehl, Jóakim vom Kistowski, Stefan Geißelsöder 等 2025-04-08T19:28:05Z 置信度 0.78 cs.SE
• INESC-ID @ eRisk 2025: Exploring Fine-Tuned, Similarity-Based, and Prompt-Based Approaches to Depression Symptom Identification
  In this work, we describe our team's approach to eRisk's 2025 Task 1: Search for Symptoms of Depression. Given a set of sentences and the Beck's Depression Inventory - II (BDI) questionnaire, participants were tasked with submitting up to 1,000 sentences per d…
  arxiv Diogo A. P. Nunes, Eugénio Ribeiro 2025-06-03T14:25:12Z 置信度 0.78 cs.CLcs.IRcs.LG
• Agentic LLMs for Question Answering over Tabular Data
  Question Answering over Tabular Data (Table QA) presents unique challenges due to the diverse structure, size, and data types of real-world tables. The SemEval 2025 Task 8 (DataBench) introduced a benchmark composed of large-scale, domain-diverse datasets to e…
  arxiv Rishit Tyagi, Mohit Gupta, Rahul Bouri 2025-09-11T08:12:38Z 置信度 0.78 cs.CL
• Autoreflection: How Agentic Strange Loops Turn Human Culture into AI Infrastructure
  An LLM-based agent is a loop that reads itself. Agentic frameworks externalize identity, memory, and disposition into editable files. The agent loads and edits these files during each activation. I argue that this architecture produces a capacity I call autore…
  arxiv Holly Lewis 2026-08-04T15:14:50Z 置信度 0.78 cs.CYcs.AIcs.SI
• Reward-Shifted Speculative Sampling Is An Efficient Test-Time Weak-to-Strong Aligner
  Aligning large language models (LLMs) with human preferences has become a critical step in their development. Recent research has increasingly focused on test-time alignment, where additional compute is allocated during inference to enhance LLM safety and reas…
  arxiv Bolian Li, Yanran Wu, Xinyu Luo, Ruqi Zhang 2025-08-20T20:10:56Z 置信度 0.78 cs.CL
• AI-Assisted Programming Decreases the Productivity of Experienced Developers by Increasing the Technical Debt and Maintenance Burden
  GenAI solutions like GitHub Copilot have been shown to increase the productivity of software developers. Yet prior work remains unclear on the quality of code produced and the challenges of maintaining it in software projects. If quality declines as volume gro…
  arxiv Feiyang Xu, Poonacha K. Medappa, Murat M. Tunc, Martijn Vroegindeweij 等 2025-10-11T10:58:58Z 置信度 0.78 econ.GNcs.CY
• Improving Stereo 3D Sound Event Localization and Detection: Perceptual Features, Stereo-specific Data Augmentation, and Distance Normalization
  This technical report presents our submission to Task 3 of the DCASE 2025 Challenge: Stereo Sound Event Localization and Detection (SELD) in Regular Video Content. We address the audio-only task in this report and introduce several key contributions. First, we…
  arxiv Jun-Wei Yeow, Ee-Leng Tan, Santi Peksi, Woon-Seng Gan 2025-07-01T15:37:46Z 置信度 0.78 eess.AS
• Audio Question Answering with GRPO-Based Fine-Tuning and Calibrated Segment-Level Predictions
  In this report, we describe our submission to Track 5 of the DCASE 2025 Challenge for the task of Audio Question Answering(AQA). Our system leverages the SSL backbone BEATs to extract frame-level audio features, which are then processed by a classification hea…
  arxiv Marcel Gibier, Nolwenn Celton, Raphaël Duroselle, Pierre Serrano 等 2025-11-18T10:05:36Z 置信度 0.78 cs.SDcs.LG
• From Feedback to Checklists: Grounded Evaluation of AI-Generated Clinical Notes
  AI-generated clinical notes are increasingly used in healthcare, but evaluating their quality remains a challenge due to high subjectivity and limited scalability of expert review. Existing automated metrics often fail to align with real-world physician prefer…
  arxiv Karen Zhou, John Giorgi, Pranav Mani, Peng Xu 等 2025-07-23T17:28:31Z 置信度 0.78 cs.CLcs.AI
• The Rise of Creative Machines: Exploring the Impact of Generative AI
  This study looks at how generative artificial intelligence (AI) can revolutionize marketing, product development, and research. It discusses the latest developments in the field, easy-to-use resources, and moral and social hazards. In addition to addressing mi…
  arxiv Saad Shaikh, Rajat bendre, Sakshi Mhaske 2023-11-22T09:27:08Z 置信度 0.78 cs.AI
• Findings of the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered Tutors
  This shared task has aimed to assess pedagogical abilities of AI tutors powered by large language models (LLMs), focusing on evaluating the quality of tutor responses aimed at student's mistake remediation within educational dialogues. The task consisted of fi…
  arxiv Ekaterina Kochmar, Kaushal Kumar Maurya, Kseniia Petukhova, KV Aditya Srivatsa 等 2025-07-11T10:57:36Z 置信度 0.78 cs.CYcs.AIcs.CL
• Towards a Neural Lambda Calculus: Neurosymbolic AI Applied to the Foundations of Functional Programming
  Over the last decades, deep neural networks based-models became the dominant paradigm in machine learning. Further, the use of artificial neural networks in symbolic learning has been seen as increasingly relevant recently. To study the capabilities of neural …
  arxiv João Flach, Alvaro F. Moreira, Luis C. Lamb 2023-04-18T20:30:16Z 置信度 0.78 cs.LGcs.AIcs.CLcs.LO
• Irresponsible AI: big tech's influence on AI research and associated impacts
  The accelerated development, deployment and adoption of artificial intelligence systems has been fuelled by the increasing presence of big tech in the AI field. This trend has been accompanied by growing ethical concerns and intensified societal and environmen…
  arxiv Alex Hernandez-Garcia, Alexandra Volokhova, Ezekiel Williams, Dounia Shaaban Kabakibo 等 2025-11-27T22:02:27Z 置信度 0.78 cs.CYcs.AI
• Seeing Through Words, Speaking Through Pixels: Deep Representational Alignment Between Vision and Language Models
  Recent studies show that deep vision-only and language-only models--trained on disjoint modalities--nonetheless project their inputs into a partially aligned representational space. Yet we still lack a clear picture of where in each network this convergence em…
  arxiv Zoe Wanying He, Sean Trott, Meenakshi Khosla 2025-09-25T05:16:28Z 置信度 0.78 cs.CVcs.AIcs.CL
• Findings of the Fourth Shared Task on Multilingual Coreference Resolution: Can LLMs Dethrone Traditional Approaches?
  The paper presents an overview of the fourth edition of the Shared Task on Multilingual Coreference Resolution, organized as part of the CODI-CRAC 2025 workshop. As in the previous editions, participants were challenged to develop systems that identify mention…
  arxiv Michal Novák, Miloslav Konopík, Anna Nedoluzhko, Martin Popel 等 2025-09-22T13:52:32Z 置信度 0.78 cs.CL
• RAIL Guard: Closing the Evaluation-to-Remediation Gap in Responsible AI for LLM Agents
  Existing guardrail systems for large language model agents operate as binary classifiers that block unsafe content, leaving organizations to discard failing outputs and retry from scratch. We introduce RAIL Guard, a closed-loop responsible AI pipeline that eva…
  arxiv Sumit Verma, Pritam Prasun, Pritish Kumar 2026-05-28T21:23:49Z 置信度 0.78 cs.AIcs.CLcs.SE
• When AI "Works," When Does Help Begin?: Intergenerational Support Around Older Adults' LLM Usage
  LLMs are becoming part of everyday life, including for older adults (OAs). OAs often learn digital technologies with younger family members, who have traditionally served as "warm experts" providing trusted and personalized operational help. LLMs expand this r…
  arxiv Hyehyun Chu, Yuri Lee, Yeon Su Park, Saelyne Yang 等 2026-08-25T09:24:07Z 置信度 0.78 cs.HC
• Towards Low-Resource Alignment to Diverse Perspectives with Sparse Feedback
  As language models have a greater impact on society, it is important to ensure they are aligned to a diverse range of perspectives and are able to reflect nuance in human values. However, the most popular training paradigms for modern language models often ass…
  arxiv Chu Fei Luo, Samuel Dahan, Xiaodan Zhu 2025-10-17T23:06:21Z 置信度 0.78 cs.CL
• On the Regulatory Potential of User Interfaces for AI Agent Governance
  AI agents that take actions in their environment autonomously over extended time horizons require robust governance interventions to curb their potentially consequential risks. Prior proposals for governing AI agents primarily target system-level safeguards (e…
  arxiv K. J. Kevin Feng, Tae Soo Kim, Rock Yuren Pang, Faria Huq 等 2025-11-30T05:32:13Z 置信度 0.78 cs.CYcs.AI
• How Do Teachers Create Pedagogical Chatbots?: Current Practices and Challenges
  AI chatbots have emerged as promising educational tools for personalized learning experiences, with advances in large language models (LLMs) enabling teachers to create and customize these chatbots for their specific classroom needs. However, there is a limite…
  arxiv Minju Yoo, Hyoungwook Jin, Juho Kim 2025-03-02T17:16:32Z 置信度 0.78 cs.HC
• Ensembling Large Language Models to Characterize Affective Dynamics in Student-AI Tutor Dialogues
  While recent studies have examined the leaning impact of large language model (LLM) in educational contexts, the affective dynamics of LLM-mediated tutoring remain insufficiently understood. This work introduces the first ensemble-LLM framework for large-scale…
  arxiv Chenyu Zhang, Sharifa Alghowinem, Cynthia Breazeal 2025-10-13T04:43:56Z 置信度 0.78 cs.CLcs.AIcs.HC
• Normal and Atypical Mitosis Image Classifier using Efficient Vision Transformer
  We tackle atypical versus normal mitosis classification in the MIDOG 2025 challenge using EfficientViT-L2, a hybrid CNN--ViT architecture optimized for accuracy and efficiency. A unified dataset of 13,938 nuclei from seven cancer types (MIDOG++ and AMi-Br) was…
  arxiv Xuan Qi, Dominic Labella, Thomas Sanford, Maxwell Lee 2025-08-28T23:45:06Z 置信度 0.78 eess.IVcs.AIcs.CV
• No Encore: Unlearning as Opt-Out in Music Generation
  AI music generation is rapidly emerging in the creative industries, enabling intuitive music generation from textual descriptions. However, these systems pose risks in exploitation of copyrighted creations, raising ethical and legal concerns. In this paper, we…
  arxiv Jinju Kim, Taehan Kim, Abdul Waheed, Jong Hwan 等 2025-09-08T01:56:51Z 置信度 0.78 cs.CL
• System 2 Reasoning for Human-AI Alignment: Generality and Adaptivity via ARC-AGI
  Despite their broad applicability, transformer-based models still fall short in System~2 reasoning, lacking the generality and adaptivity needed for human--AI alignment. We examine weaknesses on ARC-AGI tasks, revealing gaps in compositional generalization and…
  arxiv Sejin Kim, Sundong Kim 2024-10-10T12:34:25Z 置信度 0.78 cs.AI
• Techniques for supercharging academic writing with generative AI
  Academic writing is an indispensable yet laborious part of the research enterprise. This Perspective maps out principles and methods for using generative artificial intelligence (AI), specifically large language models (LLMs), to elevate the quality and effici…
  arxiv Zhicheng Lin 2023-10-26T04:35:00Z 置信度 0.78 cs.CYcs.CL
• A Survey on Training-free Alignment of Large Language Models
  The alignment of large language models (LLMs) aims to ensure their outputs adhere to human values, ethical standards, and legal norms. Traditional alignment methods often rely on resource-intensive fine-tuning (FT), which may suffer from knowledge degradation …
  arxiv Birong Pan, Yongqi Li, Weiyu Zhang, Wenpeng Lu 等 2025-08-12T15:30:44Z 置信度 0.78 cs.CLcs.LG
• Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport
  Multimodal ophthalmic imaging-based diagnosis integrates color fundus image with optical coherence tomography (OCT) to provide a comprehensive view of ocular pathologies. However, the uneven global distribution of healthcare resources often results in real-wor…
  arxiv Qinkai Yu, Jianyang Xie, Yitian Zhao, Cheng Chen 等 2025-07-07T13:36:39Z 置信度 0.78 cs.CV
• InsightGUIDE: An Opinionated AI Assistant for Guided Critical Reading of Scientific Literature
  The proliferation of scientific literature presents an increasingly significant challenge for researchers. While Large Language Models (LLMs) offer promise, existing tools often provide verbose summaries that risk replacing, rather than assisting, the reading …
  arxiv Paris Koloveas, Serafeim Chatzopoulos, Thanasis Vergoulis, Christos Tryfonopoulos 2025-09-24T19:10:52Z 置信度 0.78 cs.AIcs.CLcs.DLcs.HC
• Data Alignment for Zero-Shot Concept Generation in Dermatology AI
  AI in dermatology is evolving at a rapid pace but the major limitation to training trustworthy classifiers is the scarcity of data with ground-truth concept level labels, which are meta-labels semantically meaningful to humans. Foundation models like CLIP prov…
  arxiv Soham Gadgil, Mahtab Bigverdi 2024-04-19T17:57:29Z 置信度 0.78 cs.CVcs.CLcs.LG
• Q-Eval-100K: Evaluating Visual Quality and Alignment Level for Text-to-Vision Content
  Evaluating text-to-vision content hinges on two crucial aspects: visual quality and alignment. While significant progress has been made in developing objective models to assess these dimensions, the performance of such models heavily relies on the scale and qu…
  arxiv Zicheng Zhang, Tengchuan Kou, Shushi Wang, Chunyi Li 等 2025-03-04T07:28:45Z 置信度 0.78 cs.CV
• Visual Analytics Challenges and Trends in the Age of AI: The BigVis Community Perspective
  This report provides insights into the challenges, emerging topics, and opportunities related to human-data interaction and visual analytics in the AI era. The BigVis 2024 organizing committee conducted a survey among experts in the field. They invite the Prog…
  arxiv Nikos Bikakis, Panos K. Chrysanthis, Guoliang Li, George Papastefanatos 等 2025-04-30T10:41:52Z 置信度 0.78 cs.DBcs.HC
• A global AI community requires language-diverse publishing
  In this provocation, we discuss the English dominance of the AI research community, arguing that the requirement for English language publishing upholds and reinforces broader regimes of extraction in AI. While large language models and machine translation hav…
  arxiv Haley Lepp, Parth Sarin 2024-08-27T04:20:10Z 置信度 0.78 cs.CLcs.AI
• MPO: An Efficient Post-Processing Framework for Mixing Diverse Preference Alignment
  Reinforcement Learning from Human Feedback (RLHF) has shown promise in aligning large language models (LLMs). Yet its reliance on a singular reward model often overlooks the diversity of human preferences. Recent approaches address this limitation by leveragin…
  arxiv Tianze Wang, Dongnan Gui, Yifan Hu, Shuhang Lin 等 2025-02-25T23:22:12Z 置信度 0.78 cs.CLcs.LGstat.ME
• Deep Learning for CSI Feedback: One-Sided Model and Joint Multi-Module Learning Perspectives
  The use of deep learning (DL) for channel state information (CSI) feedback has garnered widespread attention across academia and industry. The mainstream DL architectures, e.g., CsiNet, deploy DL models on the base station (BS) side and the user equipment (UE)…
  arxiv Yiran Guo, Wei Chen, Feifei Sun, Jiaming Cheng 等 2024-05-09T03:19:32Z 置信度 0.78 eess.SP
• Exploring K-12 Physical Education Teachers' Perspectives on Opportunities and Challenges of AI Integration Through Ideation Workshops
  While AI's potential in education and professional sports is widely recognized, its application in K-12 physical education (PE) remains underexplored with significant opportunities for innovation. This study aims to address this gap by engaging 17 in-service s…
  arxiv Dakyeom Ahn, Hajin Lim 2025-02-25T05:03:10Z 置信度 0.78 cs.HC
• Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report
  Depth estimation is an important computer vision problem with many practical applications to mobile devices. While many solutions have been proposed for this task, they are usually very computationally expensive and thus are not applicable for on-device infere…
  arxiv Andrey Ignatov, Grigory Malivenko, David Plowman, Samarth Shukla 等 2021-05-17T13:49:57Z 置信度 0.78 eess.IVcs.CVcs.LG
• Proactive HIV Care: AI-Based Comorbidity Prediction from Routine EHR Data
  People living with HIV face a high burden of comorbidities, yet early detection is often limited by symptom-driven screening. We evaluate the potential of AI to predict multiple comorbidities from routinely collected Electronic Health Records. Using data from …
  arxiv Solomon Russom, Dimitrios Kollias, Qianni Zhang 2025-08-26T16:13:28Z 置信度 0.78 cs.CY
• Actual Causation and Nondeterministic Causal Models
  In (Beckers, 2025) I introduced nondeterministic causal models as a generalization of Pearl's standard deterministic causal models. I here take advantage of the increased expressivity offered by these models to offer a novel definition of actual causation (tha…
  arxiv Sander Beckers 2025-03-10T20:53:47Z 置信度 0.78 cs.AI
• Planner-Refiner: Dynamic Space-Time Refinement for Vision-Language Alignment in Videos
  Vision-language alignment in video must address the complexity of language, evolving interacting entities, their action chains, and semantic gaps between language and vision. This work introduces Planner-Refiner, a framework to overcome these challenges. Plann…
  arxiv Tuyen Tran, Thao Minh Le, Quang-Hung Le, Truyen Tran 2025-08-10T13:03:40Z 置信度 0.78 cs.CV
• AI Watermark Evidence Fails Forensic Readiness: An Empirical Evaluation
  Governments are increasingly mandating that LLM-generated content carry watermarks. The EU AI Act calls for markings that are "sufficiently reliable and robust." California's SB 942 requires disclosure that is "permanent or extraordinarily difficult to remove.…
  arxiv Saifur Rahman Tamim, Amir Labib Khan 2026-07-17T14:45:53Z 置信度 0.78 cs.CRcs.CLcs.CY
• Proceedings of Dielectron production in pp and Pb-Pb collisions with ALICE in Run 3, Quark Matter 2025
  The measurement of dielectron production is a fundamental piece of the puzzle in the understanding of the hot and dense matter produced in ultra-relativistic heavy-ion collisions. The dielectron spectrum provides information that penetrates the veil of final-s…
  arxiv Florian Eisenhut 2025-09-08T12:30:13Z 置信度 0.78 nucl-exhep-ex
• The Value of Gen-AI Conversations: A bottom-up Framework for AI Value Alignment
  Conversational agents (CAs) based on generative artificial intelligence frequently face challenges ensuring ethical interactions that align with human values. Current value alignment efforts largely rely on top-down approaches, such as technical guidelines or …
  arxiv Lenart Motnikar, Katharina Baum, Alexander Kagan, Sarah Spiekermann-Hoff 2025-06-26T12:57:07Z 置信度 0.78 cs.CYcs.AI
• Paris as a 15-Minute City: An Explainable AI Perspective
  The 15-minute city promotes access to everyday services within a short walk or bicycle ride, but its relationship with observed mobility remains difficult to quantify. We investigate this relationship in the Paris metropolitan area using mobility trajectories …
  arxiv András J. Molnár, Csaba I. Sidló, Rita Rónai, Domonkos Rózsay 2026-08-01T18:45:10Z 置信度 0.78 cs.LG
• E-LENS: User Requirements-Oriented AI Ethics Assurance
  Despite the much proliferation of AI ethical principles in recent years, there is a challenge of assuring AI ethics with current AI ethics frameworks in real-world applications. While system safety has emerged as a distinct discipline for a long time, originat…
  arxiv Jianlong Zhou, Fang Chen 2025-02-06T04:37:55Z 置信度 0.78 cs.CYcs.AI
• Reproducible, Explainable, and Effective Evaluations of Agentic AI for Software Engineering
  With the advancement of Agentic AI, researchers are increasingly leveraging autonomous agents to address challenges in software engineering (SE). However, the large language models (LLMs) that underpin these agents often function as black boxes, making it diff…
  arxiv Jingyue Li, André Storhaug 2026-04-01T22:24:08Z 置信度 0.78 cs.SEcs.AI
• Depth-Aware Scoring and Hierarchical Alignment for Multiple Object Tracking
  Current motion-based multiple object tracking (MOT) approaches rely heavily on Intersection-over-Union (IoU) for object association. Without using 3D features, they are ineffective in scenarios with occlusions or visually similar objects. To address this, our …
  arxiv Milad Khanchi, Maria Amer, Charalambos Poullis 2025-06-01T01:44:56Z 置信度 0.78 cs.CV
• DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data
  Large Language Models (LLMs) are increasingly aligned with human preferences through Reinforcement Learning from Human Feedback (RLHF). Among RLHF methods, Group Relative Policy Optimization (GRPO) has gained attention for its simplicity and strong performance…
  arxiv Yuhang Zhou, Jing Zhu, Shengyi Qian, Zhuokai Zhao 等 2025-05-21T03:43:29Z 置信度 0.78 cs.CLcs.AIcs.LG
• Embedding Alignment in Code Generation for Audio
  LLM-powered code generation has the potential to revolutionize creative coding endeavors, such as live-coding, by enabling users to focus on structural motifs over syntactic details. In such domains, when prompting an LLM, users may benefit from considering mu…
  arxiv Sam Kouteili, Hiren Madhu, George Typaldos, Mark Santolucito 2025-08-07T15:13:42Z 置信度 0.78 cs.MMcs.AIcs.SDeess.AS
• Interpretation of the binary black hole mass spectrum
  This is a summary of an invited talk given at the Moriond Gravitation meeting on March 31, 2025. I touch on some of the practical challenges of measuring the mass spectrum of merging binary black holes through their gravitational-wave signatures. I then descri…
  arxiv Ilya Mandel 2025-06-02T10:15:58Z 置信度 0.78 astro-ph.HEastro-ph.SRgr-qc
• Side-Channel Extraction of Dataflow AI Accelerator Hardware Parameters
  Dataflow neural network accelerators efficiently process AI tasks on FPGAs, with deployment simplified by ready-to-use frameworks and pre-trained models. However, this convenience makes them vulnerable to malicious actors seeking to reverse engineer valuable I…
  arxiv Guillaume Lomet, Ruben Salvador, Brice Colombier, Vincent Grosso 等 2025-06-18T13:06:09Z 置信度 0.78 cs.CR
• Collab: Controlled Decoding using Mixture of Agents for LLM Alignment
  Alignment of Large Language models (LLMs) is crucial for safe and trustworthy deployment in applications. Reinforcement learning from human feedback (RLHF) has emerged as an effective technique to align LLMs to human preferences and broader utilities, but it r…
  arxiv Souradip Chakraborty, Sujay Bhatt, Udari Madhushani Sehwag, Soumya Suvra Ghosal 等 2025-03-27T17:34:25Z 置信度 0.78 cs.CLcs.AI
• Language-free Experience at Expo 2025 Osaka
  In line with the Global Communication Plan 2025, we have pursued the development of multilingual translation technologies to realize a language-barrier-free experience at Expo 2025 Osaka. Our work includes the advancement of simultaneous interpretation systems…
  arxiv Michael Paul, Kenji Imamura, Xiaolin Wang, Shohei Higashiyama 等 2026-05-01T03:28:13Z 置信度 0.78 cs.CL
• How Small Can You Go? Compact Language Models for On-Device Critical Error Detection in Machine Translation
  Large Language Models (LLMs) excel at evaluating machine translation (MT), but their scale and cost hinder deployment on edge devices and in privacy-sensitive workflows. We ask: how small can you get while still detecting meaning-altering translation errors? F…
  arxiv Muskaan Chopra, Lorenz Sparrenberg, Sarthak Khanna, Rafet Sifa 2025-11-12T21:25:50Z 置信度 0.78 cs.CLcs.AI
• From Task Executors to Research Partners: Evaluating AI Co-Pilots Through Workflow Integration in Biomedical Research
  Artificial intelligence systems are increasingly deployed in biomedical research. However, current evaluation frameworks may inadequately assess their effectiveness as research collaborators. This rapid review examines benchmarking practices for AI systems in …
  arxiv Lukas Weidener, Marko Brkić, Chiara Bacci, Mihailo Jovanović 等 2025-12-04T14:37:46Z 置信度 0.78 cs.AI
• Theory of Quarkonia as Probes for Deconfinement
  This is a plenary talk given at Quark Matter 2025, summarizing recent theoretical developments for the understanding of quarkonium production in relativistic heavy ion collisions and how quarkonium uniquely probes the deconfined phase of QCD matter.
  arxiv Xiaojun Yao 2025-09-26T20:57:59Z 置信度 0.78 hep-phnucl-th
• Interoperable verification and dissemination of software assets in repositories using COAR Notify
  The discoverability, attribution, and reusability of open research software are often hindered by its obscurity within academic manuscripts. To address this, the SoFAIR project (2024-2025) introduces a comprehensive workflow leveraging machine learning tools f…
  arxiv Matteo Cancellieri, Martin Docekal, David Pride, Morane Gruenpeter 等 2025-08-04T12:13:26Z 置信度 0.78 cs.SEcs.DL
• AI-based Chinese-style music generation from video content: a study on cross-modal analysis and generation methods
  In recent years, Artificial Intelligence Generated Content (AIGC) technologies have advanced rapidly, with models such as Stable Diffusion and GPT garnering significant attention across various domains. Against this backdrop, AI-driven music composition techni…
  openalex Moxi Cao, Jiaxiang Zheng, Chongbin Zhang 2025-02-12 置信度 0.72 Computer scienceModalStyle (visual arts)Content (measure theory)Multimedia
• Agentic AI in Enterprise
  Learn best practices for scalable AI deployment, advanced LLM optimization, and ethical governance through real-world case studies.
  openalex Sumit Ranjan, Divya Chembachere, Lanwin Lobo 2025-01-01 置信度 0.72 Computer science
• The Files are in the Computer: On Copyright, Memorization, and Generative AI
  The New York Times's copyright lawsuit against OpenAI and Microsoft alleges OpenAI's GPT models have "memorized" NYT articles. Other lawsuits make similar claims. But parties, courts, and scholars disagree on what memorization is, whether it is taking place, a…
  openalex A. Feder Cooper, James Grimmelmann 2024-04-19 置信度 0.72 Generative grammarMemorizationComputer scienceArtificial intelligenceMathematics education
• Public-Private Partnerships in Advancing AI-Based Logistics
  The logistics sector is under increasing pressure to improve sustainability, resilience, and efficiency as global supply chains become more intricate. With its potential for real-time decision-making, autonomous systems, predictive analytics, and route optimiz…
  openalex Oyeyemi Bamidele Babatunde, Chukwudinma Taiwo Okonji, Zechariah Sunday Olanihun, Henry Amos Daniel 2025-06-30 置信度 0.72 Business
• Relationships in the Age of AI: A Review on the Opportunities and Risks of Synthetic Relationships to Reduce Loneliness
  Loneliness is a pressing global health issue, yet traditional interventions often fall short due to scalability limitations and the individualized experiences of loneliness. The rise of generative artificial intelligence (AI) has enabled synthetic relationship…
  openalex Alfio Ventura, Christopher Starke, Francesca Righetti, Nils Köbis 2025-08-22 置信度 0.72 LonelinessPsychologySocial psychology
• Will AI Replace Us? Changing the University Teacher Role
  This study examines how Artificial Intelligence (AI) is reshaping the role of university teachers and transforming the foundations of academic work in the digital age. Building on the Dynamic Capabilities Theory (sensing–seizing–transforming), the article prop…
  openalex WALERY OKULICZ-KOZARYN, Аrtem Аrtyukhov, Nadiia Аrtyukhova 2026-01-16 置信度 0.72 Cognitive reframingCorporate governanceBridge (graph theory)PerceptionSociology
• AI and inclusion in simulation education and leadership: a global cross-sectional evaluation of diversity
  BACKGROUND: Simulation-based medical education (SBME) is a critical training tool in healthcare, shaping learners' skills, professional identities, and inclusivity. Leadership demographics in SBME, including age, gender, race/ethnicity, and medical specialties…
  openalex Joana Berger‐Estilita, Mia Gisselbaek, Arnout Devos, Albert Kam Ming Chan 等 2025-05-04 置信度 0.72 Inclusion (mineral)Diversity (politics)Cross-sectional studyHealth services researchCultural diversity
• Empowering smart app development with SolidGPT: an edgecloud hybrid AI agent framework
  The integration of Large Language Models (LLMs) into mobile and software development workflows faces a persistent tension among three demands: semantic awareness, developer productivity, and data privacy. Traditional cloud-based tools offer strong reasoning bu…
  openalex Liao Hu, Qilin Wu, Ruogu Qi 2025-07-18 置信度 0.72 Computer scienceCodebaseSoftware engineeringSoftware developmentWorkflow
• Rewired Leadership: Integrating AI-Powered Mediation and Decision-Making in Higher Education Institutions
  This study examines how university students perceive AI-powered tools for mediation in higher education, with a focus on the influence of communication richness and social presence on trust and the intention to use such systems. Although AI is increasingly use…
  openalex Margarita Aimilia Gkanatsiou, Sotiria Triantari, Georgios Tzartzas, Triantafyllos Kotopoulos 等 2025-09-02 置信度 0.72 MediationEngineering ethicsPolitical scienceEducational leadershipKnowledge management
• AI Writing Assistants in Tanzanian Universities: Adoption Trends, Challenges, and Opportunities
  This study examines the adoption, challenges, and impact of AI writing assistants in Tanzanian universities, with a focus on their role in supporting academic writing, enhancing accessibility, and accommodating low-resource languages such as Swahili.Through a …
  openalex Alfred Malengo Kondoro 2025-01-01 置信度 0.72 TanzaniaMedical educationEngineering managementBusinessKnowledge management
• AI-Driven Transformation of Vocational Education
  AI's rapid development offers new opportunities for China's vocational education. This study (experiments + interviews) across five colleges (eastern, central, western) highlights key breakthroughs: AI learning analysis improved skill pass rates by 22.7% (36.3…
  openalex Yingchao Zhang 2025-12-05 置信度 0.72 Vocational educationPersonalizationKey (lock)Training (meteorology)Engineering management
• The application of AI-assisted music therapy tools in mental health interventions
  With the rising prevalence of mental health problems across populations, the limitations of traditional interventions have become more evident. Music therapy has received growing attention as a psychological intervention, and recent advances in artificial inte…
  openalex Qiuyan Wei, Wenting He 2026-01-22 置信度 0.72 Psychological interventionMusic therapyMental healthPsychologyAnxiety
• The Architecture of AI and Communication Integration towards 6G: An O-RAN Evolution
  The evolution of communication architecture shifts towards virtualization and cloud-native network functions, setting the stage for the flexibility and integration of emerging technologies. Artificial Intelligence (AI) and Machine Learning (ML) as intrinsic el…
  openalex Zexu Li, Qingtian Wang, Yue Wang, Tao Chen 2024-12-04 置信度 0.72 RanComputer scienceArchitectureC-RANComputer architecture
• AI-Powered Choreography Using a Multilayer Perceptron Model for Music-Driven Dance Generation
  Dance, as an expressive art form, has developed over centuries, and with the advancement of technology, it is currently undergoing a revolution powered by artificial intelligence. Conventional dance choreography is frequently based on intuition and manual effo…
  openalex D. Zeng 2025-04-18 置信度 0.72 ChoreographyDanceComputer scienceMultilayer perceptronArtificial intelligence
• Language Models Resist Alignment: Evidence From Data Compression
  Jiaming Ji, Kaile Wang, Tianyi Alex Qiu, Boyuan Chen, Jiayi Zhou, Changye Li, Hantao Lou, Josef Dai, Yunhuai Liu, Yaodong Yang. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.
  openalex Jiaming Ji, Kaile Wang, Tianyi Alex Qiu, Boyuan Chen 等 2025-01-01 置信度 0.72 ResistComputer scienceCompression (physics)Data compressionArtificial intelligence
• Explainable multilingual and multimodal fake-news detection: toward robust and trustworthy AI for combating misinformation
  Fake-news detection requires systems that are multilingual, multimodal, and explainable-yet the majority of the existing models are English-centric, text-only, and opaque. This study introduces two key innovations: (i) a new multilingual-multimodal dataset of …
  openalex Rohini Jadhav, Vishal Meshram, Amol Bhosle, Kailas Patil 等 2025-12-10 置信度 0.72 Computer scienceTransformerArtificial intelligenceEncoderRobustness (evolution)
• Explainable AI-enabled hybrid deep learning architecture for breast cancer detection
  Introduction: Breast cancer stands is a leading prevalent and potential fatal infection affecting women worldwide, posing the requirement of a reliable and interpretable diagnostic system. The Deep Learning (DL) methods highly contribute towards medical imager…
  openalex Yan Zou, Puyang Miao 2025-08-27 置信度 0.72 Breast cancerDeep learningArchitectureArtificial intelligenceComputer architecture
• Development and Validation of a Large Language Model–Based System for Medical History-Taking Training: Prospective Multicase Study on Evaluation Stability, Human-AI Consistency, and Transparency
  Background: History-taking is crucial in medical training. However, current methods often lack consistent feedback and standardized evaluation and have limited access to standardized patient (SP) resources. Artificial intelligence (AI)-powered simulated patien…
  openalex Yang Liu, Chujun Shi, Liping Wu, Xiule Lin 等 2025-08-29 置信度 0.72 Generalizability theoryTransparency (behavior)Consistency (knowledge bases)Baseline (sea)Artificial intelligence
• Research trends on artificial intelligence in K-12 education in Asia: a bibliometric analysis using the Scopus database (1996–2025)
  The incorporation of artificial intelligence (AI) in education has gained substantial attention due to its numerous advantages. However, existing studies rarely investigate the application of AI technologies in K-12 schools, particularly in Asia. This study se…
  openalex Irwanto Irwanto 2025-07-17 置信度 0.72 ScopusDatabaseBibliometricsComputer sciencePolitical science
• AI-Assisted Storytelling: Enhancing Narrative Creation in Digital Media
  Today, Artificial Intelligence (AI) is rapidly transforming digitalstorytelling through advances in text generation, multimodalsynthesis, and interactive narrative systems. Large LanguageModels (LLMs), vision-language models, and generative mediamodels make it…
  openalex Gurpreet Singh, Alisha Naaz Dr. Alisha Naaz, Asma Syed, Vantala Akhila 2026-01-13 置信度 0.72 NarrativeDigital storytellingStorytellingComputer scienceGenerative grammar
• Educational impacts of generative artificial intelligence on learning and performance of engineering students in China
  With the rapid advancement of generative artificial intelligence (AI), its potential applications in higher education have attracted significant attention. This study investigated how 148 students from diverse engineering disciplines and regions across China u…
  openalex Lei Fan, Kuang Kuang Deng, Fangxue Liu 2025-07-21 置信度 0.72 Generative grammarChinaComputer scienceArtificial intelligenceGenerative model
• Scaling AI filmmaking with collaborative networking
  Abstract In this work, MineStudio is introduced, a novel AI filmmaking framework designed to facilitate future creative collaborative networks. MineStudio uses a hybrid digitization approach that involves reconstructing 3D digital environments, capturing 2D li…
  openalex Haohong Wang, Daniel Smith, Uğur Demir 2025-01-01 置信度 0.72 FilmmakingScalingComputer scienceVisual artsArt