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• Developing Problem-Solving Skills to Support Sustainability in STEM Education Using Generative AI Tools
  This paper presents a novel, multi-stage modelling approach for integrating Generative AI (GenAI) tools into design-based STEM education, promoting sustainability and 21st-century problem-solving skills. The proposed methodology includes (i) a conceptual model…
  openalex Vytautas Štuikys, Renata Burbaitė, Mikas Binkis, Giedrius Ziberkas 2025-07-30 置信度 0.72 SustainabilityGenerative grammarPsychologyComputer scienceManagement science
• ARTIFICIAL INTELLIGENCE (AI) IN ISLAMIC FINANCE: A MAQASID AL-SHARIAH PERSPECTIVE
  The integration of Artificial Intelligence (AI) in Islamic finance presents both opportunities and challenges, particularly in ensuring compliance with Maqasid al-Shariah. This paper provides a conceptual analysis of how AI-driven financial services align with…
  openalex Nabilah Wafa’ Mohd Najib, Siti Khalilah Basarud-din, Farahdina Fazial 2025-06-05 置信度 0.72 IslamPerspective (graphical)Islamic financeSociologyPhilosophy
• Exploring the Use of Generative AI in Student-Produced EFL Podcasts: A Qualitative Study
  The rapid advancement of Artificial intelligence (AI) technologies has made new opportunities available in language education. This qualitative study investigates using generative AI tools by university English as a Foreign Language (EFL) students to create po…
  openalex FX. Risang Baskara, Anindita Dewangga Puri, Concilianus Laos Mbato 2024-10-01 置信度 0.72 Generative grammarMathematics educationPsychologyComputer scienceArtificial intelligence
• A Dual Digital Twin Framework for Reinforcement Learning: Bridging Webots and MuJoCo with Generative AI and Alignment Strategies
  Deep reinforcement learning (DRL) has shown potential for robotic training in virtual environments; however, challenges remain in bridging simulation and real-world deployment. This paper introduces an extended reinforcement learning framework that advances be…
  openalex Algirdas Laukaitis, Andrej Šareiko, Dalius Mažeika 2025-12-06 置信度 0.72 Reinforcement learningBridging (networking)Computer scienceLeverage (statistics)Robustness (evolution)
• AI for Medical Application: Current Trends, Challenges, and Future Directions
  The integration of Artificial Intelligence (AI) into healthcare has significantly enhanced diagnostic precision, treatment strategies, pharmaceutical advancements, and hospital management. This review examines the role of AI in medical imaging, drug discovery,…
  openalex Wei Wang 2025-03-17 置信度 0.72 Current (fluid)Data scienceComputer scienceEngineeringElectrical engineering
• A Framework for Designing an AI Chatbot to Support Scientific Argumentation
  As large language models (LLMs) are increasingly used to support learning, there is a growing need for a principled framework to guide the design of LLM-based tools and resources that are pedagogically effective and contextually responsive. This study proposes…
  openalex Field M. Watts, Lei Liu, Teresa Ober, Song Yi 等 2025-11-08 置信度 0.72 ChatbotArgumentation theoryComputer scienceSet (abstract data type)Relevance (law)
• AI-Based HRCT Quantification in Connective Tissue Disease-Associated Interstitial Lung Disease
  Background: Interstitial lung disease (ILD) is a frequent and potentially progressive manifestation in patients with connective tissue diseases (CTDs). Accurate and reproducible quantification of parenchymal abnormalities on high-resolution computed tomography…
  openalex Anna Russo, Vittorio Patanè, Alessandra Oliva, Vittorio Viglione 等 2025-08-28 置信度 0.72 Interstitial lung diseasePathologyMedicineConnective tissue diseaseConnective tissue
• Applications of AI in Space Domain
  We observe a growing interest in satellites, driven by small and micro-satellites, as operations become more ambitious and there is the need of changing satellites’ missions over time during their expeditions. Artificial Intelligence, especially Machine Learni…
  openalex Luciana Brasil Rebelo dos Santos, Francesco Basciani, Patrizio Pelliccione 2025-07-30 置信度 0.72 Computer scienceDomain (mathematical analysis)Space (punctuation)Artificial intelligenceOperating system
• A Literature Review on Enhancing Predictive Maintenance in Smart Manufacturing Industries: Fostering Human-Technology Collaboration and Overcoming Data Scarcity Limitations with Advanced AI Models
  Abstract Predictive maintenance (PdM) leverages artificial intelligence (AI) and data analytics to forecast equipment failures in smart manufacturing, enabling timely interventions that minimize downtime and operational costs. This literature review examines r…
  openalex Faisal Ramzan, Diego Reforgiato Recupero 2025-12-04 置信度 0.72 Industry 4.0Predictive maintenanceComputer scienceRisk analysis (engineering)Downtime
• Can Generative AI and ChatGPT Break Human Supremacy in Mathematics and Reshape Competence in Cognitive-Demanding Problem-Solving Tasks?
  This study investigates the potential of generative artificial intelligence tools in addressing cognitive challenges encountered by humans during problem-solving. The performance of ChatGPT-4o and GPT-4 models in the NAEP mathematics assessments was evaluated,…
  openalex Deniz Kaya, Selim Yavuz 2025-04-02 置信度 0.72 CognitionCompetence (human resources)Mathematics educationGenerative grammarPsychology
• Evaluation Beyond Goodness of Fit: Biophysical Alignment of AI Models for Kinase-Centric Drug Discovery
  The potential of machine learning (ML) to accelerate modern drug discovery is widely recognized, especially when using ML to reason about the binding of small drug-like molecules to proteins. In order to assess whether such ML models realize this potential, th…
  openalex Joschka Groß, Michael Backenköhler, Paula Linh Kramer, Verena Wolf 等 2025-04-28 置信度 0.72 Drug discoveryGoodness of fitComputational biologyComputer scienceArtificial intelligence
• AI Literacy and Professional Development Engagement as Predictors of Mathematics Teachers’ Readiness for AI-Enhanced Instruction
  This study examined how well AI literacy and professional development (PD) engagement can explain mathematics teachers’ readiness for AI-enhanced instruction. Data were collected through a quantitative correlational design from all mathematics teachers at a pr…
  openalex Catherine Cuago Ruiz, Francis Michael Yambao 2026-02-25 置信度 0.72 LiteracyProfessional developmentMathematics educationRank (graph theory)Psychology
• Debate: Beyond the transaction—Procurement as a tool for cross-sector AI governance
  In a recent Public Money & Management contribution, Tan and Chandra (2025) present a compelling catalogue of potential AI use cases for public sector innovation. ‘The issue is no longer whether AI ...
  openalex Felix-Anselm van Lier 2025-07-23 置信度 0.72 ProcurementDatabase transactionBusinessCorporate governanceIndustrial organization
• International AI Safety Report 2025: Second Key Update: Technical Safeguards and Risk Management
  This second update to the 2025 International AI Safety Report assesses new developments in general-purpose AI risk management over the past year. It examines how researchers, public institutions, and AI developers are approaching risk management for general-pu…
  openalex Yoshua Bengio, Stephen Clare, Carina Prunkl, Maksym Andriushchenko 等 2025-11-25 置信度 0.72 Risk managementTransparency (behavior)Risk analysis (engineering)Key (lock)Corporate governance
• E-Government/AI Integration State and Capacity in Developing Countries: A Systematic Review
  The integration of artificial intelligence (AI) into e-government promises to transform public service delivery, efficiency, and transparency. This study investigates the required critical implementation capacities in e-government/AI integration in developing …
  openalex Abisha Kampira, Ricky Munyaradzi Mukonza 2025-12-10 置信度 0.72 PhenomenonKnowledge managementState (computer science)Thematic analysisDeveloping country
• Community-Aligned Behavior Under Uncertainty: Evidence of Epistemic Stance Transfer in LLMs
  When large language models (LLMs) are aligned to a specific online community, do they exhibit generalizable behavioral patterns that mirror that community's attitudes and responses to new uncertainty, or are they simply recalling patterns from training data? W…
  arxiv Patrick Gerard, Aiden Chang, Svitlana Volkova 2025-11-14T20:04:52Z 置信度 0.78 cs.CLcs.SI
• Open-Set Source Tracing of Audio Deepfake Systems
  Existing research on source tracing of audio deepfake systems has focused primarily on the closed-set scenario, while studies that evaluate open-set performance are limited to a small number of unseen systems. Due to the large number of emerging audio deepfake…
  arxiv Nicholas Klein, Hemlata Tak, Elie Khoury 2025-07-09T01:03:36Z 置信度 0.78 eess.AScs.SD
• Humble AI in the real-world: the case of algorithmic hiring
  Humble AI (Knowles et al., 2023) argues for cautiousness in AI development and deployments through scepticism (accounting for limitations of statistical learning), curiosity (accounting for unexpected outcomes), and commitment (accounting for multifaceted valu…
  arxiv Rahul Nair, Inge Vejsbjerg, Elizabeth Daly, Christos Varytimidis 等 2025-05-27T09:09:38Z 置信度 0.78 cs.LGcs.AIcs.HC
• AI and Deep Learning for Terahertz Ultra-Massive MIMO: From Model-Driven Approaches to Foundation Models
  This study explored the transformative potential of artificial intelligence (AI) in addressing the challenges posed by terahertz ultra-massive multiple-input multiple-output (UM-MIMO) systems. It begins by outlining the characteristics of terahertz UM-MIMO sys…
  arxiv Wentao Yu, Hengtao He, Shenghui Song, Jun Zhang 等 2024-12-13T04:13:40Z 置信度 0.78 eess.SPcs.IT
• ReCap: Event-Aware Image Captioning with Article Retrieval and Semantic Gaussian Normalization
  Image captioning systems often produce generic descriptions that fail to capture event-level semantics which are crucial for applications like news reporting and digital archiving. We present ReCap, a novel pipeline for event-enriched image retrieval and capti…
  arxiv Thinh-Phuc Nguyen, Thanh-Hai Nguyen, Gia-Huy Dinh, Lam-Huy Nguyen 等 2025-09-01T08:48:33Z 置信度 0.78 cs.CV
• "AGI" team at SHROOM-CAP: Data-Centric Approach to Multilingual Hallucination Detection using XLM-RoBERTa
  The detection of hallucinations in multilingual scientific text generated by Large Language Models (LLMs) presents significant challenges for reliable AI systems. This paper describes our submission to the SHROOM-CAP 2025 shared task on scientific hallucinatio…
  arxiv Harsh Rathva, Pruthwik Mishra, Shrikant Malviya 2025-11-23T05:48:27Z 置信度 0.78 cs.CL
• Re-evaluating Automatic LLM System Ranking for Alignment with Human Preference
  Evaluating and ranking the capabilities of different LLMs is crucial for understanding their performance and alignment with human preferences. Due to the high cost and time-consuming nature of human evaluations, an automatic LLM bencher (i.e., an automatic eva…
  arxiv Mingqi Gao, Yixin Liu, Xinyu Hu, Xiaojun Wan 等 2024-12-31T17:46:51Z 置信度 0.78 cs.CLcs.AIcs.LG
• Checklists Are Better Than Reward Models For Aligning Language Models
  Language models must be adapted to understand and follow user instructions. Reinforcement learning is widely used to facilitate this -- typically using fixed criteria such as "helpfulness" and "harmfulness". In our work, we instead propose using flexible, inst…
  arxiv Vijay Viswanathan, Yanchao Sun, Shuang Ma, Xiang Kong 等 2025-07-24T17:58:00Z 置信度 0.78 cs.CL
• Match Chat: Real Time Generative AI and Generative Computing for Tennis
  We present Match Chat, a real-time, agent-driven assistant designed to enhance the tennis fan experience by delivering instant, accurate responses to match-related queries. Match Chat integrates Generative Artificial Intelligence (GenAI) with Generative Comput…
  arxiv Aaron Baughman, Gozde Akay, Eduardo Morales, Rahul Agarwal 等 2025-09-16T02:38:27Z 置信度 0.78 cs.AIcs.CL
• Sionna Research Kit: A GPU-Accelerated Research Platform for AI-RAN
  We introduce the NVIDIA Sionna Research Kit, a GPU-accelerated research platform for developing and testing AI/ML algorithms in 5G NR cellular networks. Powered by the NVIDIA Jetson AGX Orin, the platform leverages accelerated computing to deliver high through…
  arxiv Sebastian Cammerer, Guillermo Marcus, Tobias Zirr, Fayçal Aït Aoudia 等 2025-05-19T17:38:05Z 置信度 0.78 cs.NIcs.IT
• Diverse And Private Synthetic Datasets Generation for RAG evaluation: A multi-agent framework
  Retrieval-augmented generation (RAG) systems improve large language model outputs by incorporating external knowledge, enabling more informed and context-aware responses. However, the effectiveness and trustworthiness of these systems critically depends on how…
  arxiv Ilias Driouich, Hongliu Cao, Eoin Thomas 2025-08-26T11:16:14Z 置信度 0.78 cs.CLcs.AI
• Pose-Based Sign Language Spotting via an End-to-End Encoder Architecture
  Automatic Sign Language Recognition (ASLR) has emerged as a vital field for bridging the gap between deaf and hearing communities. However, the problem of sign-to-sign retrieval or detecting a specific sign within a sequence of continuous signs remains largely…
  arxiv Samuel Ebimobowei Johnny, Blessed Guda, Emmanuel Enejo Aaron, Assane Gueye 2025-12-09T15:49:23Z 置信度 0.78 cs.CVcs.CL
• SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings
  Multimodal Large Language Models (MLLMs) have serious security vulnerabilities.While safety alignment using multimodal datasets consisting of text and data of additional modalities can effectively enhance MLLM's security, it is costly to construct these datase…
  arxiv Weikai Lu, Hao Peng, Huiping Zhuang, Cen Chen 等 2025-02-18T05:57:35Z 置信度 0.78 cs.CLcs.CRcs.MM
• From Sea to System: Exploring User-Centered Explainable AI for Maritime Decision Support
  As autonomous technologies increasingly shape maritime operations, understanding why an AI system makes a decision becomes as crucial as what it decides. In complex and dynamic maritime environments, trust in AI depends not only on performance but also on tran…
  arxiv Doreen Jirak, Pieter Maes, Armeen Saroukanoff, Dirk van Rooy 2025-09-18T15:42:54Z 置信度 0.78 cs.AIcs.CYcs.HC
• Cross-Modal Alignment between Visual Stimuli and Neural Responses in the Visual Cortex
  Investigating the mapping between visual stimuli and neural responses in the visual cortex contributes to a deeper understanding of biological visual processing mechanisms. Most existing studies characterize this mapping by training models to directly encode v…
  arxiv Xing Gao, Dazhong Rong, Qinming He 2025-11-06T06:20:57Z 置信度 0.78 cs.CE
• XAIxArts Manifesto: Explainable AI for the Arts
  Explainable AI (XAI) is concerned with how to make AI models more understandable to people. To date these explanations have predominantly been technocentric - mechanistic or productivity oriented. This paper introduces the Explainable AI for the Arts (XAIxArts…
  arxiv Nick Bryan-Kinns, Shuoyang Jasper Zheng, Francisco Castro, Makayla Lewis 等 2025-02-28T16:50:17Z 置信度 0.78 cs.HCcs.AI
• CATCH: A Novel Data Synthesis Framework for High Therapy Fidelity and Memory-Driven Planning Chain of Thought in AI Counseling
  Recently, advancements in AI counseling based on large language models have shown significant progress. However, existing studies employ a one-time generation approach to synthesize multi-turn dialogue samples, resulting in low therapy fidelity and failing to …
  arxiv Mingyu Chen, Jingkai Lin, Zhaojie Chu, Xiaofen Xing 等 2025-09-30T03:44:00Z 置信度 0.78 cs.CL
• The next question after Turing's question: Introducing the Grow-AI test
  This study aims to extend the framework for assessing artificial intelligence, called GROW-AI (Growth and Realization of Autonomous Wisdom), designed to answer the question "Can machines grow up?" -- a natural successor to the Turing Test. The methodology appl…
  arxiv Alexandru Tugui 2025-08-22T10:19:42Z 置信度 0.78 cs.AIcs.HC
• From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems
  Research is a fundamental process driving the advancement of human civilization, yet it demands substantial time and effort from researchers. In recent years, the rapid development of artificial intelligence (AI) technologies has inspired researchers to explor…
  arxiv Zekun Zhou, Xiaocheng Feng, Lei Huang, Xiachong Feng 等 2025-03-03T11:27:13Z 置信度 0.78 cs.AIcs.CL
• What Do People Want to Know About Artificial Intelligence (AI)? The Importance of Answering End-User Questions to Explain Autonomous Vehicle (AV) Decisions
  Improving end-users' understanding of decisions made by autonomous vehicles (AVs) driven by artificial intelligence (AI) can improve utilization and acceptance of AVs. However, current explanation mechanisms primarily help AI researchers and engineers in debug…
  arxiv Somayeh Molaei, Lionel P. Robert, Nikola Banovic 2025-05-09T20:57:34Z 置信度 0.78 cs.HCcs.AI
• Perfect score on IPhO 2025 theory by Gemini agent
  The International Physics Olympiad (IPhO) is the world's most prestigious and renowned physics competition for pre-university students. IPhO problems require complex reasoning based on deep understanding of physical principles in a standard general physics cur…
  arxiv Yichen Huang 2026-02-26T18:53:05Z 置信度 0.78 physics.ed-phcs.AI
• Polynomial-Time Approximation Schemes via Utility Alignment: Unit-Demand Pricing and More
  This paper derives polynomial-time approximation schemes for several NP-hard stochastic optimization problems from the algorithmic mechanism design and operations research literatures. The problems we consider involve a principal or seller optimizing with resp…
  arxiv Robin Bowers, Marius Garbea, Emmanouil Pountourakis, Samuel Taggart 2025-06-24T21:57:19Z 置信度 0.78 cs.GTcs.DS
• Dual-Role Dynamics in Prompting: Elementary Pre-service Teachers' AI Prompting Strategies for Representational Choices
  Pre-service teachers play a unique dual role as they straddle between the roles of students and future teachers. This dual role requires them to adopt both the learner's and the instructor's perspectives while engaging with pedagogical and content knowledge. T…
  arxiv Razan Hamed, Amogh Sirnoorkar, N. Sanjay Rebello 2025-08-20T15:04:42Z 置信度 0.78 physics.ed-ph
• Aligning Large Language Models from Self-Reference AI Feedback with one General Principle
  In aligning large language models (LLMs), utilizing feedback from existing advanced AI rather than humans is an important method to scale supervisory signals. However, it is highly challenging for AI to understand human intentions and societal values, and prov…
  arxiv Rong Bao, Rui Zheng, Shihan Dou, Xiao Wang 等 2024-06-17T03:51:46Z 置信度 0.78 cs.CLcs.AI
• SoK: DARPA's AI Cyber Challenge (AIxCC): Competition Design, Architectures, and Lessons Learned
  DARPA's AI Cyber Challenge (AIxCC, 2023--2025) is the largest competition to date for building fully autonomous cyber reasoning systems (CRSs) that leverage recent advances in AI -- particularly large language models (LLMs) -- to discover and remediate vulnera…
  arxiv Cen Zhang, Younggi Park, Fabian Fleischer, Yu-Fu Fu 等 2026-02-07T19:21:27Z 置信度 0.78 cs.CRcs.AI
• Automatic Semantic Alignment of Flow Pattern Representations for Exploration with Large Language Models
  Explorative flow visualization allows domain experts to analyze complex flow structures by interactively investigating flow patterns. However, traditional visual interfaces often rely on specialized graphical representations and interactions, which require add…
  arxiv Weihan Zhang, Jun Tao 2025-08-08T13:20:37Z 置信度 0.78 cs.HC
• Bias by Design? How Data Practices Shape Fairness in AI Healthcare Systems
  Artificial intelligence (AI) holds great promise for transforming healthcare. However, despite significant advances, the integration of AI solutions into real-world clinical practice remains limited. A major barrier is the quality and fairness of training data…
  arxiv Anna Arias-Duart, Maria Eugenia Cardello, Atia Cortés 2025-10-23T08:32:34Z 置信度 0.78 cs.AI
• Case Study of GAI for Generating Novel Images for Real-World Embroidery
  In this paper, we present a case study exploring the potential use of Generative Artificial Intelligence (GAI) to address the real-world need of making the design of embroiderable art patterns more accessible. Through an auto-ethnographic case study by a disab…
  arxiv Kate Glazko, Anika Arugunta, Janelle Chan, Nancy Jimenez-Garcia 等 2025-10-17T21:16:23Z 置信度 0.78 cs.HCcs.CY
• Bridging HCI and AI Research for the Evaluation of Conversational SE Assistants
  As Large Language Models (LLMs) are increasingly adopted in software engineering, recently in the form of conversational assistants, ensuring these technologies align with developers' needs is essential. The limitations of traditional human-centered methods fo…
  arxiv Jonan Richards, Mairieli Wessel 2025-02-11T21:09:24Z 置信度 0.78 cs.SE
• A Mathematical Framework for AI-Human Integration in Work
  The rapid rise of Generative AI (GenAI) tools has sparked debate over their role in complementing or replacing human workers across job contexts. We present a mathematical framework that models jobs, workers, and worker-job fit, introducing a novel decompositi…
  arxiv L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi 2025-05-29T13:26:21Z 置信度 0.78 cs.AIcs.CYecon.GN
• Guided Manifold Alignment with Geometry-Regularized Twin Autoencoders
  Manifold alignment (MA) involves a set of techniques for learning shared representations across domains, yet many traditional MA methods are incapable of performing out-of-sample extension, limiting their real-world applicability. We propose a guided represent…
  arxiv Jake S. Rhodes, Adam G. Rustad, Marshall S. Nielsen, Morgan Chase McClellan 等 2025-09-26T20:41:02Z 置信度 0.78 cs.LGstat.ML
• Enhancing Compositional Reasoning in CLIP via Reconstruction and Alignment of Text Descriptions
  Despite recent advances, vision-language models trained with standard contrastive objectives still struggle with compositional reasoning -- the ability to understand structured relationships between visual and linguistic elements. This shortcoming is largely d…
  arxiv Jihoon Kwon, Kyle Min, Jy-yong Sohn 2025-10-18T15:35:36Z 置信度 0.78 cs.CVcs.AI
• Detecting Effects of AI-Mediated Communication on Language Complexity and Sentiment
  Given the subtle human-like effects of large language models on linguistic patterns, this study examines shifts in language over time to detect the impact of AI-mediated communication (AI- MC) on social media. We compare a replicated dataset of 970,919 tweets …
  arxiv Kristen Sussman, Daniel Carter 2025-04-28T08:01:38Z 置信度 0.78 cs.CLcs.HC
• Inkspire: Supporting Design Exploration with Generative AI through Analogical Sketching
  With recent advancements in the capabilities of Text-to-Image (T2I) AI models, product designers have begun experimenting with them in their work. However, T2I models struggle to interpret abstract language and the current user experience of T2I tools can indu…
  arxiv David Chuan-En Lin, Hyeonsu B. Kang, Nikolas Martelaro, Aniket Kittur 等 2025-01-30T18:59:04Z 置信度 0.78 cs.HCcs.AIcs.CVcs.MM
• Imposing AI: Deceptive design patterns against sustainability
  Generative AI is being massively deployed in digital services, at a scale that will result in significant environmental harm. We document how tech companies are transforming established user interfaces to impose AI use and show how and to what extent these str…
  arxiv Anaëlle Beignon, Thomas Thibault, Nolwenn Maudet 2025-08-12T06:37:39Z 置信度 0.78 cs.HCcs.AI
• Effective Automation to Support the Human Infrastructure in AI Red Teaming
  As artificial intelligence (AI) systems become increasingly embedded in critical societal functions, the need for robust red teaming methodologies continues to grow. In this forum piece, we examine emerging approaches to automating AI red teaming, with a parti…
  arxiv Alice Qian Zhang, Jina Suh, Mary L. Gray, Hong Shen 2025-03-28T03:36:15Z 置信度 0.78 cs.CYcs.HC
• AgentGuard: Runtime Verification of AI Agents
  The rapid evolution to autonomous, agentic AI systems introduces significant risks due to their inherent unpredictability and emergent behaviors; this also renders traditional verification methods inadequate and necessitates a shift towards probabilistic guara…
  arxiv Roham Koohestani 2025-09-28T13:08:50Z 置信度 0.78 cs.AIcs.SE
• MM-Gesture: Towards Precise Micro-Gesture Recognition through Multimodal Fusion
  In this paper, we present MM-Gesture, the solution developed by our team HFUT-VUT, which ranked 1st in the micro-gesture classification track of the 3rd MiGA Challenge at IJCAI 2025, achieving superior performance compared to previous state-of-the-art methods.…
  arxiv Jihao Gu, Fei Wang, Kun Li, Yanyan Wei 等 2025-07-11T06:45:42Z 置信度 0.78 cs.CV
• Differentially Private Steering for Large Language Model Alignment
  Aligning Large Language Models (LLMs) with human values and away from undesirable behaviors (such as hallucination) has become increasingly important. Recently, steering LLMs towards a desired behavior via activation editing has emerged as an effective method …
  arxiv Anmol Goel, Yaxi Hu, Iryna Gurevych, Amartya Sanyal 2025-01-30T17:58:36Z 置信度 0.78 cs.CLcs.LG
• LLMscape
  LLMscape is an interactive installation that investigates how humans and AI construct meaning under shared conditions of uncertainty. Within a mutable, projection-mapped landscape, human participants reshape the world and engage with multiple AI agents, each d…
  arxiv Gottfried Haider, Jie Zhang 2025-11-10T14:52:20Z 置信度 0.78 cs.LG
• STAIR: Addressing Stage Misalignment through Temporal-Aligned Preference Reinforcement Learning
  Preference-based reinforcement learning (PbRL) bypasses complex reward engineering by learning rewards directly from human preferences, enabling better alignment with human intentions. However, its effectiveness in multi-stage tasks, where agents sequentially …
  arxiv Yao Luan, Ni Mu, Yiqin Yang, Bo Xu 等 2025-09-28T10:56:15Z 置信度 0.78 cs.LG
• A Joint Multitask Model for Morpho-Syntactic Parsing
  We present a joint multitask model for the UniDive 2025 Morpho-Syntactic Parsing shared task, where systems predict both morphological and syntactic analyses following novel UD annotation scheme. Our system uses a shared XLM-RoBERTa encoder with three speciali…
  arxiv Demian Inostroza, Mel Mistica, Ekaterina Vylomova, Chris Guest 等 2025-08-19T23:09:36Z 置信度 0.78 cs.CL
• Tabular foundation model for GEOAI benchmark problems BM/AirportSoilProperties/2/2025
  This paper presents a novel application of the Tabular Prior-Data Fitted Network (TabPFN) - a transformer-based foundation model for tabular data - to geotechnical site characterization problems defined in the GEOAI benchmark BM/AirportSoilProperties/2/2025. T…
  arxiv Taiga Saito, Yu Otake, Stephen Wu 2025-09-03T10:21:18Z 置信度 0.78 cs.LG
• Psi-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models
  We introduce $Ψ$-Sampler, an SMC-based framework incorporating pCNL-based initial particle sampling for effective inference-time reward alignment with a score-based generative model. Inference-time reward alignment with score-based generative models has recent…
  arxiv Taehoon Yoon, Yunhong Min, Kyeongmin Yeo, Minhyuk Sung 2025-06-02T05:02:33Z 置信度 0.78 cs.LGcs.AIcs.CV
• The Anatomy of Alignment: Decomposing Preference Optimization by Steering Sparse Features
  Prevailing alignment methods induce opaque parameter changes, obscuring what models truly learn. To address this, we introduce Feature Steering with Reinforcement Learning (FSRL), a framework that trains a lightweight adapter to steer model behavior by modulat…
  arxiv Jeremias Ferrao, Matthijs van der Lende, Ilija Lichkovski, Clement Neo 2025-09-16T10:32:40Z 置信度 0.78 cs.AI
• Memory Mosaics at scale
  Memory Mosaics [Zhang et al., 2025], networks of associative memories, have demonstrated appealing compositional and in-context learning capabilities on medium-scale networks (GPT-2 scale) and synthetic small datasets. This work shows that these favorable prop…
  arxiv Jianyu Zhang, Léon Bottou 2025-07-04T04:23:03Z 置信度 0.78 cs.AI
• Few-Shot Learning from Gigapixel Images via Hierarchical Vision-Language Alignment and Modeling
  Vision-language models (VLMs) have recently been integrated into multiple instance learning (MIL) frameworks to address the challenge of few-shot, weakly supervised classification of whole slide images (WSIs). A key trend involves leveraging multi-scale inform…
  arxiv Bryan Wong, Jong Woo Kim, Huazhu Fu, Mun Yong Yi 2025-05-23T14:48:32Z 置信度 0.78 cs.CV
• AI-Driven Prognostics for State of Health Prediction in Li-ion Batteries: A Comprehensive Analysis with Validation
  This paper presents a comprehensive review of AI-driven prognostics for State of Health (SoH) prediction in lithium-ion batteries. We compare the effectiveness of various AI algorithms, including FFNN, LSTM, and BiLSTM, across multiple datasets (CALCE, NASA, U…
  arxiv Tianqi Ding, Dawei Xiang, Tianyao Sun, YiJiashum Qi 等 2025-04-08T06:58:39Z 置信度 0.78 cs.AIcs.LG
• EBA-AI: Ethics-Guided Bias-Aware AI for Efficient Underwater Image Enhancement and Coral Reef Monitoring
  Underwater image enhancement is vital for marine conservation, particularly coral reef monitoring. However, AI-based enhancement models often face dataset bias, high computational costs, and lack of transparency, leading to potential misinterpretations. This p…
  arxiv Lyes Saad Saoud, Irfan Hussain 2025-07-20T16:37:37Z 置信度 0.78 cs.CVcs.RO
• Anchoring and Alignment: Data Factors in Part-to-Whole Visualization
  We explore the effects of data and design considerations through the example case of part-to-whole data relationships. Standard part-to-whole representations like pie charts and stacked bar charts make the relationships of parts to the whole explicit. Value es…
  arxiv Connor Bailey, Michael Gleicher 2025-08-03T18:25:41Z 置信度 0.78 cs.HC
• Global propagation of analyticity and unique continuation for semilinear conservative PDEs
  We review some recent results in which we develop a new method for proving global unique continuation for some conservative PDEs. The main tool is to prove some global propagation of analyticity. We first present some known results on the subject. Then, we ske…
  arxiv Camille Laurent, Cristóbal Loyola 2026-02-11T17:26:11Z 置信度 0.78 math.AP
• STARE at the Structure: Steering ICL Exemplar Selection with Structural Alignment
  In-Context Learning (ICL) has become a powerful paradigm that enables LLMs to perform a wide range of tasks without task-specific fine-tuning. However, the effectiveness of ICL heavily depends on the quality of exemplar selection. In particular, for structured…
  arxiv Jiaqian Li, Qisheng Hu, Jing Li, Wenya Wang 2025-08-28T16:04:39Z 置信度 0.78 cs.CL
• Enhancing Vision-Language Models for Autonomous Driving through Task-Specific Prompting and Spatial Reasoning
  This technical report presents our solution for the RoboSense Challenge at IROS 2025, which evaluates Vision-Language Models (VLMs) on autonomous driving scene understanding across perception, prediction, planning, and corruption detection tasks. We propose a …
  arxiv Aodi Wu, Xubo Luo 2025-10-28T07:43:30Z 置信度 0.78 cs.CVcs.AI
• Accelerating AI Development with Cyber Arenas
  AI development requires high fidelity testing environments to effectively transition from the laboratory to operations. The flexibility offered by cyber arenas presents a novel opportunity to test new artificial intelligence (AI) capabilities with users. Cyber…
  arxiv William Cashman, Chasen Milner, Michael Houle, Michael Jones 等 2025-09-10T00:12:39Z 置信度 0.78 cs.CRcs.AIcs.CY
• Reimagining Dance: Real-time Music Co-creation between Dancers and AI
  Dance performance traditionally follows a unidirectional relationship where movement responds to music. While AI has advanced in various creative domains, its application in dance has primarily focused on generating choreography from musical input. We present …
  arxiv Olga Vechtomova, Jeff Bos 2025-06-13T17:56:53Z 置信度 0.78 cs.SDcs.AIcs.HCeess.AS
• Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation
  Large Language Models (LLMs) require high quality preference datasets to align with human preferences. However, conventional methods for constructing such datasets face significant challenges: reliance on pre-collected instructions often leads to distribution …
  arxiv Qiyuan Chen, Hongsen Huang, Qian Shao, Jiahe Chen 等 2025-09-06T05:38:47Z 置信度 0.78 cs.CLcs.AI
• Short-Term Load Forecasting for AI-Data Center
  Recent research shows large-scale AI-centric data centers could experience rapid fluctuations in power demand due to varying computation loads, such as sudden spikes from inference or interruption of training large language models (LLMs). As a consequence, suc…
  arxiv Mariam Mughees, Yuzhuo Li, Yize Chen, Yunwei Ryan Li 2025-03-10T18:21:06Z 置信度 0.78 eess.SP
• ModaLink: Unifying Modalities for Efficient Image-to-PointCloud Place Recognition
  Place recognition is an important task for robots and autonomous cars to localize themselves and close loops in pre-built maps. While single-modal sensor-based methods have shown satisfactory performance, cross-modal place recognition that retrieving images fr…
  arxiv Weidong Xie, Lun Luo, Nanfei Ye, Yi Ren 等 2024-03-27T17:01:10Z 置信度 0.78 cs.CVcs.AIcs.RO
• RedNote-Vibe: A Dataset for Capturing Temporal Dynamics of AI-Generated Text in Lifestyle Social Media
  We introduce RedNote-Vibe, a dataset spanning five years (pre-LLM to July 2025) sourced from lifestyle platform RedNote (Xiaohongshu), capturing the temporal dynamics of content creation and is enriched with comprehensive engagement metrics. To address the det…
  arxiv Yudong Li, Yufei Sun, Peiru Yang, Yuhan Yao 等 2025-09-26T08:36:45Z 置信度 0.78 cs.CL
• Strong Preferences Affect the Robustness of Preference Models and Value Alignment
  Value alignment, which aims to ensure that large language models (LLMs) and other AI agents behave in accordance with human values, is critical for ensuring safety and trustworthiness of these systems. A key component of value alignment is the modeling of huma…
  arxiv Ziwei Xu, Mohan Kankanhalli 2024-10-03T12:53:43Z 置信度 0.78 cs.AI
• Long-Short Alignment for Effective Long-Context Modeling in LLMs
  Large language models (LLMs) have exhibited impressive performance and surprising emergent properties. However, their effectiveness remains limited by the fixed context window of the transformer architecture, posing challenges for long-context modeling. Among …
  arxiv Tianqi Du, Haotian Huang, Yifei Wang, Yisen Wang 2025-06-13T13:25:39Z 置信度 0.78 cs.CLcs.LG
• Challenges and Opportunities for Generative AI in Software Engineering: A Managerial View
  Generative artificial intelligence (GenAI) has shown a strong potential to automate tasks, increase productivity, and enhance software quality. Managers have an important role in adopting GenAI as they lead strategic planning and team coordination. This study …
  openalex Sergio Rico, Lena‐Maria Öberg 2025-06-23 置信度 0.72 Generative grammarComputer scienceSoftware engineeringArtificial intelligence
• Public attitudes and practices toward using AI chatbots for healthcare assistance: a multinational cross-sectional study
  BACKGROUND: Using artificial intelligence (AI) chatbots in healthcare can enhance patient care. However, misuse may lead to negative outcomes. Our study’s aim is to evaluate the practices and attitudes related to AI chatbots for healthcare assistance within th…
  openalex Aya Elsayed Abdelwahed, Mahmoud Abd El-Nasser, Omar Qasem Heih, Aya Muhammed Suleiman 等 2025-12-30 置信度 0.72 Health careChatbotMedicineHealth informaticsOdds
• Contesting dominant AI narratives on an industry-shaped ground: Public Discourse and Actors around AI in the French Press and Social Media (2012-2022)
  This paper studies how artificial intelligence was set to the agenda in the press and social media in France. By simultaneously analysing the framing of AI and the key actors who dominated the discourse on this technology in the national press and on the X and…
  openalex Panos Tsimpoukis 2025-04-14 置信度 0.72 NarrativePublic discourseCommon groundMedia studiesSocial media
• Trade-Off Between Energy Consumption and Three Configuration Parameters in Artificial Intelligence (AI) Training: Lessons for Environmental Policy
  Rapid advancements in artificial intelligence (AI) have led to a substantial increase in energy consumption, particularly during the training phase of AI models. As AI adoption continues to grow, its environmental impact presents a significant challenge to the…
  openalex Sri Ariyanti, Muhammad Suryanegara, Ajib Setyo Arifin, Amalia Irma Nurwidya 等 2025-06-10 置信度 0.72 Training (meteorology)Energy consumptionConsumption (sociology)Environmental policyEnvironmental economics
• Does the coronal plane alignment of the ankle and subtalar joints normalize after total knee arthroplasty?
  BACKGROUND: Total knee arthroplasty (TKA) alters the lower extremity alignment, potentially affecting adjacent joints such as the ankle and subtalar joints. However, the relationship between changes in hindfoot alignment and ankle osteoarthritis (OA) after TKA…
  openalex Katsuki Yamaguchi, Tatsuya Sakai, Masanori Fujii, Satoshi Takashima 等 2025-05-08 置信度 0.72 MedicineOsteoarthritisAnkleCoronal planeWilcoxon signed-rank test
• Be AIware! An AI Competency Model for K-12 Education
  The rapid emergence of generative artificial intelligence (GAI) is reshaping educational contexts, creating an urgent need for K–12 systems to adapt. Teachers, in particular, face increasing demands to respond to AI-driven transformations in learning environme…
  openalex Lana Sattelmaier, Jan Μ. Pawlowski 2025-01-01 置信度 0.72 PsychologyMathematics educationMedical educationMedicine
• Unpacking the metrics: a critical analysis of the 2025 QS World University Rankings using Australian university data
  Despite extensive critiques of university rankings highlighting their emphasis on reputation metrics over teaching quality and equity, empirical validation remains limited. This study addresses this gap by analysing relationships between QS World University Ra…
  openalex MD Badiuzzaman 2025-07-16 置信度 0.72 UnpackingComputer scienceData scienceSociologyPhilosophy
• Teaching high school students about generative AI: Cases of teacher lesson design
  Teachers who wish to enact lessons about generative AI are required to simultaneously learn about it and develop curricula with activities that align with their discipline. We present two cases of high school teachers, June and Margot, who had different prior …
  openalex Victoria Delaney, Ibrahim Adisa, Christopher Mah, Victor R. Lee 2025-06-11 置信度 0.72 Mathematics educationGenerative grammarLesson studyPedagogyPsychology
• Discipline-Specific AI literacy (DiSAIL): a theoretical framework for situated engagement with generative AI in education
  Abstract As generative AI (genAI) tools become increasingly integrated into educational settings, there is a growing need to understand how students engage with these technologies, not merely as users of information, but as participants in new forms of literac…
  openalex Karin Stolpe, Andréas Larsson, Marlene Johansson Falck 2026-03-07 置信度 0.72 Framing (construction)SituatedDisciplineLiteracyGenerative grammar
• A novel AI-driven approach to greenwashing: breakthroughs in the future fit between domain-specific Islamic enterprises with varying developmental progress and ESG landscapes
  Abstract This research presents an innovative framework for exploring the phenomenon of greenwashing within the context of domain-specific enterprises that are adapting to diverse institutional landscapes. This is achieved through the deployment of a groundbre…
  openalex حسن حیدری 2025-04-30 置信度 0.72 GreenwashingIslamDomain (mathematical analysis)Computer scienceEngineering
• Exploring Laws of Robotics: A Synthesis of Constitutional AI and Constitutional Economics
  Abstract As today’s world increasingly harnesses ever more powerful AI systems, policymakers and developers must recognize the need for effective regulatory frameworks to ensure that the underlying LLMs are used ethically and responsibly. Integrating ordoliber…
  openalex Anselm Küsters, Manuel Woersdoerfer 2025-06-04 置信度 0.72 RoboticsArtificial intelligenceConstitutional lawLawPolitical science
• Large Language Models in Radiology Reporting—A Systematic Review of Performance, Limitations, and Clinical Implications
  Abstract Background Large language models (LLMs) have emerged as potential tools for automated radiology reporting. However, concerns regarding their fidelity, reliability, and clinical applicability remain. This systematic review examines the current literatu…
  preprints Yaara Artsi, Eyal Klang, Jeremy D. Collins, Benjamin S. Glicksberg 等 2025 置信度 0.74 Systematic reviewMedical physicsMedicineMEDLINEPsychology
• Mapping Constructive Alignment Research In Science Education: A Bibliometric and Network Analysis (2000–2025)
  Constructive alignment (CA) has become a central pedagogical framework aligning intended learning outcomes, teaching strategies, and assessments to promote meaningful learning. Despite the rising number of studies applying CA across educational contexts, no bi…
  openalex Nurelly Mohd Rifan, Adibah Abdul Latif, Mohamad Ikram Zakaria 2026-06-23 置信度 0.72 ConstructiveScholarshipSocial network analysisThematic analysisCitation analysis
• Implementing AI Chatbots in Customer Service Optimization—A Case Study in Micro-Enterprise
  Digitalization, including the implementation of artificial intelligence (AI) applications, is one of the key enablers of business agility in contemporary enterprises. Micro and small enterprises (MSEs) are increasingly expected to adopt scalable and cost-effec…
  openalex Katarína Marcineková, Andrea Sujová, Rastislav Ďurica 2025-12-05 置信度 0.72 ChatbotComputer scienceCustomer serviceWorkloadKnowledge management
• The Evolving Landscape of AI in Education: A Systematic Review of Contemporary Research (2024-2025)
  Artificial Intelligence (AI) is increasingly reshaping educational systems worldwide, influencing pedagogy, assessment, governance, and learner engagement. While the volume of AI-in-education research has expanded rapidly, particularly following the emergence …
  openalex Mohamed Yusuf Adan 2026-01-01 置信度 0.72 Engineering ethicsSociologySystematic reviewCorporate governanceConceptual framework
• Empowering Health Professions Educators: Developing Educational Tools with AI-Assisted Vibe Coding
  Vibe Coding offers an accessible entry point to create interactive digital applications through human-in-the-loop conversational prompts and AI-assisted workflows. This approach not only lowers technical barriers and fosters experimentation but also raises imp…
  openalex Olivia Ng, Minyang Chow 2025-11-28 置信度 0.72 Coding (social sciences)Health professionsMedical educationPoint (geometry)Knowledge management
• University staff and student perspectives on competent and ethical use of AI: uncovering similarities and divergences
  Abstract We investigated the similarities and differences in understanding among UK-based university staff and students regarding AI literacy, in terms of competent and ethical use of AI tools. This study builds on existing research revealing both wide use of …
  openalex Manoj Ravi, Kashmir Kaur, Clare Wright, Matt Bawn 等 2025-09-30 置信度 0.72 Transparency (behavior)StakeholderHigher educationBrainstormingCompetence (human resources)
• Smart Rubber Extrusion Line Combining Multiple Sensor Techniques for AI‐Based Process Control
  The extrusion process is one of the most important methods for continuous processing of rubber compounds. An extruder is used to give the rubber compound a geometrically defined shape as an extrudate. To ensure that product‐specific requirements are fulfilled,…
  openalex Alexander Aschemann, Paul‐Felix Hagen, Simon Albers, Robin Rofallski 等 2024-10-25 置信度 0.72 ExtrusionMaterials scienceNatural rubberLine (geometry)Process (computing)
• The Double Readiness Gap in Machine Learning for Building Energy Management: A Scoping Review of Deployment Maturity, Trustworthy AI, and EU AI Act Alignment
  Reducing building energy consumption is central to EU climate-neutrality targets and to sustainable development goals: buildings account for around 40% of EU final energy consumption, placing Building Energy Management Systems (BEMS) at the intersection of the…
  openalex Maria Malvoni 2026-06-14 置信度 0.72 Software deploymentTransparency (behavior)Artificial intelligenceCorporate governanceComputer science
• AI-Driven Personalized Movie Recommendations: A Content and Sentiment-Aware Model for Streaming and Digital Entrepreneurship
  In an era marked by the digital consumption of media, the landscape of movie recommendation is undergoing a profound transformation. Traditional recommendation methods, which rely on collaborative filtering and user reviews, are being supplanted by more sophis…
  openalex Vijay Shelake, Scott Fernandes, Sarthak Shrungare 2025-04-14 置信度 0.72 EntrepreneurshipComputer scienceContent (measure theory)Digital contentMultimedia
• Writing with AI boosts trust-building efficiency
  = 1,637) in which participants engaged in incentivized two-player trust games with communication. Half of the participants could use state-of-the-art predictive text assistance when composing a message to encourage trust; the others wrote unaided. We measured …
  openalex Zoe Alexandra Purcell, Maurice Jakesch, Mengchen Dong, Anne-Marie Nußberger 等 2025-11-20 置信度 0.72 Frequentist inferenceInterpersonal communicationPsychologySocial psychologyInterpersonal relationship
• Legal and Ethical Challenges in Integrating AI Into Clinical Practice: Qualitative Study of Physicians’ Real-World Experiences
  Background: The adoption of artificial intelligence (AI) in health care has accelerated; however, physicians continue to face substantial legal, ethical, and regulatory uncertainties when considering AI integration into clinical practice. Although the literatu…
  openalex Mehrnaz Mostafapour, Jacqueline H. Fortier, Karen Pacheco, Heather Murray 等 2026-03-31 置信度 0.72 Engineering ethicsQualitative researchPsychologyInformed consentEthical issues
• Ethical dilemmas in teaching and assessment in higher education: a literature synthesis towards an integrative model for policy, practice and academic integrity
  Purpose This paper aims to examine ethical dilemmas in teaching and assessment (TA) in higher education institutions (HEIs) and their connections to academic integrity (AI), institutional policies (IPs), oversight mechanisms (OMs) and the United Nations’ Susta…
  openalex Frank Yao Gbadago, Ibrahim Masud, Faisal Iddris, Samuel Koomson 等 2025-11-11 置信度 0.72 Engineering ethicsCognitive reframingAccountabilityRubricHigher education
• Evolution of chromatin accessibility associated with traits of cichlid phenotypic diversity
  The radiations of cichlid fishes in East African Lakes Victoria, Malawi, and Tanganyika showcase a remarkable example of rapid adaptive speciation, with over 2000 species evolving diverse morphological and ecological adaptations within the last few million yea…
  preprints 2025 置信度 0.74