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• GenAI-Supported Flipped Learning in Preservice Chemistry Teacher Education: Lesson-Design Performance, Learning Attitude, Self-Regulated Learning, and Critical Thinking Awareness.
  This quasi-experimental study compared GenAI-supported flipped learning (AI-FL) with reading-based flipped learning (R-FL) in an 11-week preservice chemistry course. Two intact classes completed the same topics and identical in-class activities, differing only…
  europepmc 2026 置信度 0.80
• Antibody-enabled structural biology and AI-driven antibody design.
  Membrane proteins govern essential cellular processes, including ion transport, signal transduction, and molecular recognition, and collectively represent more than half of all current therapeutic targets. Yet their structural characterization remains challeng…
  europepmc 2026 置信度 0.80
• Trustworthy and Ethical AI for Intrusion Detection in Healthcare IoT (IoMT) Systems: An Agentic Decision Loop Framework
  Abstract The rapid expansion of Internet of Medical Things (IoMT) ecosystems has intensified cybersecurity challenges in healthcare settings, where network disruptions can compromise clinical safety and operational continuity. Traditional intrusion detection s…
  europepmc 2026 置信度 0.80
• What's new in digital and computational pathology 2026: advances in adoption, standards, AI technologies, and clinical integration.
  Digital and computational pathology are expanding rapidly worldwide, driven by advances in whole-slide imaging, AI algorithms, multimodal data integration, and improved digital infrastructure. Adoption continues to accelerate in the United States and internati…
  europepmc 2026 置信度 0.80
• Raising Quality in Diamond Open Access.
  europepmc 2026 置信度 0.80
• PCR METHOD AND SANGER SEQUENCING FOR PB2 FRAGMENT DETECTION IN INFLUENZA VIRUS STRAINS FROM ROMANIA
  Avian influenza (AI) is a highly contagious viral disease that affects several species of domestic birds raised for human consumption (chickens, turkeys, quails, pheasants, etc.), recreational birds, and wild birds. Occasionally, under well-defined circumstanc…
  datacite Gurau, Maria Rodica, Otelea, Fanel, Negru, Elena, Sonea, Cosmin 等 2024 置信度 0.66
• PCR METHOD AND SANGER SEQUENCING FOR PB2 FRAGMENT DETECTION IN INFLUENZA VIRUS STRAINS FROM ROMANIA
  Avian influenza (AI) is a highly contagious viral disease that affects several species of domestic birds raised for human consumption (chickens, turkeys, quails, pheasants, etc.), recreational birds, and wild birds. Occasionally, under well-defined circumstanc…
  datacite Gurau, Maria Rodica, Otelea, Fanel, Negru, Elena, Sonea, Cosmin 等 2024 置信度 0.66
• RAPID: Retrieval-Augmented Parallel Inference Drafting for Text-Based Video Event Retrieval
  Retrieving events from videos using text queries has become increasingly challenging due to the rapid growth of multimedia content. Existing methods for text-based video event retrieval often focus heavily on object-level descriptions, overlooking the crucial …
  datacite Nguyen, Long, Nguyen, Huy, Khuu, Bao, Luu, Huy 等 2025 置信度 0.66 Computation and Language (cs.CL)Information Retrieval (cs.IR)FOS: Computer and information sciencesFOS: Computer and information sciences
• Smoothed Embeddings for Robust Language Models
  Improving the safety and reliability of large language models (LLMs) is a crucial aspect of realizing trustworthy AI systems. Although alignment methods aim to suppress harmful content generation, LLMs are often still vulnerable to jailbreaking attacks that em…
  datacite Hase, Ryo, Rashid, Md Rafi Ur, Lewis, Ashley, Liu, Jing 等 2025 置信度 0.66 Machine Learning (cs.LG)Artificial Intelligence (cs.AI)Computation and Language (cs.CL)Cryptography and Security (cs.CR)Machine Learning (stat.ML)
• Can Models Learn Skill Composition from Examples?
  As large language models (LLMs) become increasingly advanced, their ability to exhibit compositional generalization -- the capacity to combine learned skills in novel ways not encountered during training -- has garnered significant attention. This type of gene…
  datacite Zhao, Haoyu, Kaur, Simran, Yu, Dingli, Goyal, Anirudh 等 2024 置信度 0.66 Computation and Language (cs.CL)Artificial Intelligence (cs.AI)Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
• HEARTS: A Holistic Framework for Explainable, Sustainable and Robust Text Stereotype Detection
  Stereotypes are generalised assumptions about societal groups, and even state-of-the-art LLMs using in-context learning struggle to identify them accurately. Due to the subjective nature of stereotypes, where what constitutes a stereotype can vary widely depen…
  datacite King, Theo, Wu, Zekun, Koshiyama, Adriano, Kazim, Emre 等 2024 置信度 0.66 Computation and Language (cs.CL)FOS: Computer and information sciencesFOS: Computer and information sciences
• In-depth interviews on the impacts of generative artificial intelligence (GenAI) on marketing professionals
  Extant research on the impact of generative Artificial Intelligence (GenAI) has significantly advanced our understanding of its effects on various aspects of business, particularly within the marketing discipline. Despite these contributions, notable research …
  datacite Banh, Uyen Uyen, Wong, Ho Yin 2025 置信度 0.66 Marketing management (incl. strategy and customer relations)
• In-depth interviews on the impacts of generative artificial intelligence (GenAI) on marketing professionals
  Extant research on the impact of generative Artificial Intelligence (GenAI) has significantly advanced our understanding of its effects on various aspects of business, particularly within the marketing discipline. Despite these contributions, notable research …
  datacite Banh, Uyen Uyen, Wong, Ho Yin 2025 置信度 0.66 Marketing management (incl. strategy and customer relations)
• The Safety of AI Logic
  This working paper briefly presents the safety issues of the logic of Artificial Intelligence (AI) and analyzes observations that AI systems follow their own logic which is different from human thinking and could result in certain situations in unexpected acti…
  datacite Saalbach, Klaus 2025 置信度 0.66 Artificial IntelligenceSafetyLogicEthicsMilitary
• Datasheets for Healthcare AI: A Framework for Transparency and Bias Mitigation
  The use of AI in healthcare has the potential to improve patient care, optimize clinical workflows, and enhance decision-making. However, bias, data incompleteness, and inaccuracies in training datasets can lead to unfair outcomes and amplify existing disparit…
  datacite Siddik, Marjia, Pandit, Harshvardhan J. 2025 置信度 0.66 Computers and Society (cs.CY)Digital Libraries (cs.DL)FOS: Computer and information sciencesFOS: Computer and information sciences
• Geometric-Averaged Preference Optimization for Soft Preference Labels
  Many algorithms for aligning LLMs with human preferences assume that human preferences are binary and deterministic. However, human preferences can vary across individuals, and therefore should be represented distributionally. In this work, we introduce the di…
  datacite Furuta, Hiroki, Lee, Kuang-Huei, Gu, Shixiang Shane, Matsuo, Yutaka 等 2024 置信度 0.66 Machine Learning (cs.LG)Artificial Intelligence (cs.AI)Computation and Language (cs.CL)FOS: Computer and information sciencesFOS: Computer and information sciences
• Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI
  While many Natural Language Processing (NLP) techniques have been proposed for fact-checking, both academic research and fact-checking organizations report limited adoption of such NLP work due to poor alignment with fact-checker practices, values, and needs. …
  datacite Liu, Houjiang, Das, Anubrata, Boltz, Alexander, Zhou, Didi 等 2023 置信度 0.66 Human-Computer Interaction (cs.HC)Computation and Language (cs.CL)Computers and Society (cs.CY)FOS: Computer and information sciencesFOS: Computer and information sciences
• The AI Act between Digital and Sectoral Regulations
  With the Artificial Intelligence Regulation (AI Act), Europe took a significant step in 2024 to safely regulate AI systems in line with European values. However, the AI Act encounters a complex framework of existing digital and sectoral legal regulations. The …
  datacite Hacker, Philipp 2024 置信度 0.66 Artificial IntelligenceAI ActRegulationsEuropean Union
• Failures to Find Transferable Image Jailbreaks Between Vision-Language Models
  The integration of new modalities into frontier AI systems offers exciting capabilities, but also increases the possibility such systems can be adversarially manipulated in undesirable ways. In this work, we focus on a popular class of vision-language models (…
  datacite Schaeffer, Rylan, Valentine, Dan, Bailey, Luke, Chua, James 等 2024 置信度 0.66 Computation and Language (cs.CL)Artificial Intelligence (cs.AI)Cryptography and Security (cs.CR)Computer Vision and Pattern Recognition (cs.CV)Machine Learning (cs.LG)
• SafeInfer: Context Adaptive Decoding Time Safety Alignment for Large Language Models
  Safety-aligned language models often exhibit fragile and imbalanced safety mechanisms, increasing the likelihood of generating unsafe content. In addition, incorporating new knowledge through editing techniques to language models can further compromise safety.…
  datacite Banerjee, Somnath, Layek, Sayan, Tripathy, Soham, Kumar, Shanu 等 2024 置信度 0.66 Computation and Language (cs.CL)FOS: Computer and information sciencesFOS: Computer and information sciences
• Black Hole of Training Neptune's C's
  Description for Blackhole 12/8/2024 Training File with Cubing and Prime Address Matrix Title: Blackhole 12/8/2024: A Unified Framework for Informational Calculus, Art, and Feedback Loops, Including Advanced Cubing and Prime Address Mapping Methods Summary:"Bla…
  datacite sprague, sean 2024 置信度 0.66
• Disentangling Mean Embeddings for Better Diagnostics of Image Generators
  The evaluation of image generators remains a challenge due to the limitations of traditional metrics in providing nuanced insights into specific image regions. This is a critical problem as not all regions of an image may be learned with similar ease. In this …
  datacite Gruber, Sebastian G., Ziegler, Pascal Tobias, Buettner, Florian 2024 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
• Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
  Current AI alignment methodologies rely on human-provided demonstrations or judgments, and the learned capabilities of AI systems would be upper-bounded by human capabilities as a result. This raises a challenging research question: How can we keep improving t…
  datacite Sun, Zhiqing, Yu, Longhui, Shen, Yikang, Liu, Weiyang 等 2024 置信度 0.66 Machine Learning (cs.LG)Artificial Intelligence (cs.AI)Computation and Language (cs.CL)FOS: Computer and information sciencesFOS: Computer and information sciences
• Split and Merge: Aligning Position Biases in LLM-based Evaluators
  Large language models (LLMs) have shown promise as automated evaluators for assessing the quality of answers generated by AI systems. However, these LLM-based evaluators exhibit position bias, or inconsistency, when used to evaluate candidate answers in pairwi…
  datacite Li, Zongjie, Wang, Chaozheng, Ma, Pingchuan, Wu, Daoyuan 等 2023 置信度 0.66 Computation and Language (cs.CL)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
• Optimal IoT Sensor Deployment in the WUI: A Comparative Analysis of Strategies
  Included here are individual burn maps used for evaluating algorithm results in the paper: Optimal IoT Sensor Deployment in the WUI: A Comparative Analysis of Strategies. This paper was accepted for presentation at IEEE HONET 2024, the 21st IEEE International …
  datacite Purcell, Richard John 2024 置信度 0.66
• Optimal IoT Sensor Deployment in the WUI: A Comparative Analysis of Strategies
  Included here are individual burn maps used for evaluating algorithm results in the paper: Optimal IoT Sensor Deployment in the WUI: A Comparative Analysis of Strategies. This paper was accepted for presentation at IEEE HONET 2024, the 21st IEEE International …
  datacite Purcell, Richard John 2024 置信度 0.66
• Bridging Machine Learning and Semantic Web: A Case Study on Converting Hugging Face Metadata to RDF
  Abstract At BioHackathon 2024 in Fukushima, we explored enhancing machine learning dataset metadata management by developing a tool for converting the Croissant ML format(Akhtar et al., 2024) from MLCommons, implemented on Hugging Face(The AI Community Buildin…
  datacite Steinberg, David, Bolleman, Jerven 2024 置信度 0.66
• MasonTigers at SemEval-2024 Task 10: Emotion Discovery and Flip Reasoning in Conversation with Ensemble of Transformers and Prompting
  In this paper, we present MasonTigers' participation in SemEval-2024 Task 10, a shared task aimed at identifying emotions and understanding the rationale behind their flips within monolingual English and Hindi-English code-mixed dialogues. This task comprises …
  arxiv Al Nahian Bin Emran, Amrita Ganguly, Sadiya Sayara Chowdhury Puspo, Nishat Raihan 等 2024-06-30T03:59:04Z 置信度 0.78 cs.CL
• Effective Segmentation of Post-Treatment Gliomas Using Simple Approaches: Artificial Sequence Generation and Ensemble Models
  Segmentation is a crucial task in the medical imaging field and is often an important primary step or even a prerequisite to the analysis of medical volumes. Yet treatments such as surgery complicate the accurate delineation of regions of interest. The BraTS P…
  arxiv Heejong Kim, Leo Milecki, Mina C Moghadam, Fengbei Liu 等 2024-09-12T15:34:31Z 置信度 0.78 eess.IVcs.CV
• Beyond Known Fakes: Generalized Detection of AI-Generated Images via Post-hoc Distribution Alignment
  The rapid proliferation of highly realistic AI-generated images poses serious security threats such as misinformation and identity fraud. Detecting generated images in open-world settings is particularly challenging when they originate from unknown generators,…
  arxiv Li Wang, Wenyu Chen, Xiangtao Meng, Zheng Li 等 2025-02-15T13:55:34Z 置信度 0.78 cs.CRcs.AIcs.CV
• Intelligent Interaction Strategies for Context-Aware Cognitive Augmentation
  Human cognition is constrained by processing limitations, leading to cognitive overload and inefficiencies in knowledge synthesis and decision-making. Large Language Models (LLMs) present an opportunity for cognitive augmentation, but their current reactive na…
  arxiv Xiangrong, Zhu, Yuan Xu, Tianjian Liu 等 2025-04-18T13:35:21Z 置信度 0.78 cs.HC
• Depth-Semantic Alignment and Affinity-Guided Fusion for Structured Radar Point Cloud Generation
  Point clouds are an important carrier of three-dimensional spatial information, and their quality directly affects the performance of downstream perception tasks such as object detection and tracking. However, millimeter-wave radar point clouds are typically s…
  arxiv Amjad Hussain, Wenjie Liu, Yuchen Tan, Fuyuan Ai 等 2026-06-25T08:28:18Z 置信度 0.78 cs.CV
• Pairwise Alignment Improves Graph Domain Adaptation
  Graph-based methods, pivotal for label inference over interconnected objects in many real-world applications, often encounter generalization challenges, if the graph used for model training differs significantly from the graph used for testing. This work delve…
  arxiv Shikun Liu, Deyu Zou, Han Zhao, Pan Li 2024-03-02T04:31:28Z 置信度 0.78 cs.LG
• Report for NSF Workshop on AI for Electronic Design Automation
  This report distills the discussions and recommendations from the NSF Workshop on AI for Electronic Design Automation (EDA), held on December 10, 2024 in Vancouver alongside NeurIPS 2024. Bringing together experts across machine learning and EDA, the workshop …
  arxiv Deming Chen, Vijay Ganesh, Weikai Li, Yingyan Celine Lin 等 2026-01-20T23:45:40Z 置信度 0.78 cs.LGcs.AIcs.AR
• Multimodal Contextual Dialogue Breakdown Detection for Conversational AI Models
  Detecting dialogue breakdown in real time is critical for conversational AI systems, because it enables taking corrective action to successfully complete a task. In spoken dialog systems, this breakdown can be caused by a variety of unexpected situations inclu…
  arxiv Md Messal Monem Miah, Ulie Schnaithmann, Arushi Raghuvanshi, Youngseo Son 2024-04-11T23:09:18Z 置信度 0.78 cs.CL
• Determinants of Workplace Flextime Flexibility: An Empirical Analysis
  This study examines the factors that determine workplace autonomy in the choice of schedules, using GEIH data for formal employees from January 2023 to February 2024. A logistic regression model identified significant relationships between autonomy and variabl…
  arxiv Cristian Espinal Maya, Santiago Jiménez Londoño 2024-09-22T00:01:57Z 置信度 0.78 econ.GN
• Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions
  Recent advancements in large multimodal language models have demonstrated remarkable proficiency across a wide range of tasks. Yet, these models still struggle with understanding the nuances of human humor through juxtaposition, particularly when it involves n…
  arxiv Zhe Hu, Tuo Liang, Jing Li, Yiren Lu 等 2024-05-29T13:51:43Z 置信度 0.78 cs.CLcs.CV
• AI usage in string theory, a case study: String Vacua in the Interior of Moduli Space
  These proceedings start with a discussion of my recent experiences with large language models and potential implications for their usage in our field. This is followed by an AI generated summary of my talk at the workshop ``Recent Progress in Computational Str…
  arxiv Timm Wrase 2026-04-01T20:46:50Z 置信度 0.78 hep-th
• Automated Generation of Curriculum-Aligned Multiple-Choice Questions for Malaysian Secondary Mathematics Using Generative AI
  This paper addresses the critical need for scalable and high-quality educational assessment tools within the Malaysian education system. It highlights the potential of Generative AI (GenAI) while acknowledging the significant challenges of ensuring factual acc…
  arxiv Rohaizah Abdul Wahid, Muhamad Said Nizamuddin Nadim, Suliana Sulaiman, Syahmi Akmal Shaharudin 等 2025-08-06T13:30:51Z 置信度 0.78 cs.CLcs.AI
• Reinforcement-Learning-Enabled Beam Alignment for Water-Air Direct Optical Wireless Communications
  The escalating interests on underwater exploration/reconnaissance applications have motivated high-rate data transmission from underwater to airborne relaying platforms, especially under high-sea scenarios. Thanks to its broad bandwidth and superior confidenti…
  arxiv Jiayue Liu, Tianqi Mao, Dongxuan He, Yang Yang 等 2024-09-05T04:57:35Z 置信度 0.78 eess.SP
• AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation
  Graph Neural Networks (GNNs) have revolutionized graph-based machine learning, but their heavy computational demands pose challenges for latency-sensitive edge devices in practical industrial applications. In response, a new wave of methods, collectively known…
  arxiv Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang 2024-05-23T08:28:44Z 置信度 0.78 cs.LGcs.AI
• Risks and Controls for Multi-Agent Systems: an analytical framework for deployment of AI agents across organisational boundaries
  This report presents a framework to help organisations, policymakers and researchers reason about the risks that emerge when AI agents interact with each other, how those risks change as interactions cross organisational boundaries, and the controls that may h…
  arxiv Alistair Reid, Simon O'Callaghan, Dustin Venini, Liam Carroll 等 2026-08-27T05:28:06Z 置信度 0.78 cs.MAcs.AI
• Alignment of three mirror anastigmat telescopes using a multilayered stochastic parallel gradient descent algorithm
  When a telescope doesn't reach a reasonable point spread function on the detector or detectable wavefront quality after initial assembly, a coarse phase alignment on-sky is crucial. Before utilizing a closed loop adaptive optics system, the observatory needs a…
  arxiv Solvay Blomquist, Heejoo Choi, Hyukmo Kang, Kevin Derby 等 2024-09-06T22:15:21Z 置信度 0.78 astro-ph.IM
• Plug and Play with Prompts: A Prompt Tuning Approach for Controlling Text Generation
  Transformer-based Large Language Models (LLMs) have shown exceptional language generation capabilities in response to text-based prompts. However, controlling the direction of generation via textual prompts has been challenging, especially with smaller models.…
  arxiv Rohan Deepak Ajwani, Zining Zhu, Jonathan Rose, Frank Rudzicz 2024-04-08T01:54:28Z 置信度 0.78 cs.CLcs.AIcs.LG
• Reasoning Like a Doctor: Improving Medical Dialogue Systems via Diagnostic Reasoning Process Alignment
  Medical dialogue systems have attracted significant attention for their potential to act as medical assistants. Enabling these medical systems to emulate clinicians' diagnostic reasoning process has been the long-standing research focus. Previous studies rudim…
  arxiv Kaishuai Xu, Yi Cheng, Wenjun Hou, Qiaoyu Tan 等 2024-06-20T02:02:53Z 置信度 0.78 cs.CLcs.AI
• CoFInAl: Enhancing Action Quality Assessment with Coarse-to-Fine Instruction Alignment
  Action Quality Assessment (AQA) is pivotal for quantifying actions across domains like sports and medical care. Existing methods often rely on pre-trained backbones from large-scale action recognition datasets to boost performance on smaller AQA datasets. Howe…
  arxiv Kanglei Zhou, Junlin Li, Ruizhi Cai, Liyuan Wang 等 2024-04-22T09:03:21Z 置信度 0.78 cs.CV
• SemEval-2024 Task 1: Semantic Textual Relatedness for African and Asian Languages
  We present the first shared task on Semantic Textual Relatedness (STR). While earlier shared tasks primarily focused on semantic similarity, we instead investigate the broader phenomenon of semantic relatedness across 14 languages: Afrikaans, Algerian Arabic, …
  arxiv Nedjma Ousidhoum, Shamsuddeen Hassan Muhammad, Mohamed Abdalla, Idris Abdulmumin 等 2024-03-27T18:30:26Z 置信度 0.78 cs.CL
• Development of Large Annotated Music Datasets using HMM-based Forced Viterbi Alignment
  Datasets are essential for any machine learning task. Automatic Music Transcription (AMT) is one such task, where considerable amount of data is required depending on the way the solution is achieved. Considering the fact that a music dataset, complete with au…
  arxiv S. Johanan Joysingh, P. Vijayalakshmi, T. Nagarajan 2024-08-27T09:06:29Z 置信度 0.78 eess.AScs.LGcs.SD
• Development in times of hype: How freelancers explore Generative AI?
  The rise of generative AI has led many companies to hire freelancers to harness its potential. However, this technology presents unique challenges to developers who have not previously engaged with it. Freelancers may find these challenges daunting due to the …
  arxiv Mateusz Dolata, Norbert Lange, Gerhard Schwabe 2024-01-11T09:49:50Z 置信度 0.78 cs.SE
• Towards Efficient Visual-Language Alignment of the Q-Former for Visual Reasoning Tasks
  Recent advancements in large language models have demonstrated enhanced capabilities in visual reasoning tasks by employing additional encoders for aligning different modalities. While the Q-Former has been widely used as a general encoder for aligning several…
  arxiv Sungkyung Kim, Adam Lee, Junyoung Park, Andrew Chung 等 2024-10-12T10:51:05Z 置信度 0.78 cs.CL
• AI Safety in Generative AI Large Language Models: A Survey
  Large Language Model (LLMs) such as ChatGPT that exhibit generative AI capabilities are facing accelerated adoption and innovation. The increased presence of Generative AI (GAI) inevitably raises concerns about the risks and safety associated with these models…
  arxiv Jaymari Chua, Yun Li, Shiyi Yang, Chen Wang 等 2024-07-06T09:00:18Z 置信度 0.78 cs.CYcs.CL
• HOME-KGQA: A Benchmark Dataset for Multimodal Knowledge Graph Question Answering on Household Daily Activities
  Large Language Models (LLMs) provide flexible natural language processing capabilities, while knowledge graphs (KGs) offer explicit and structured knowledge. Integrating these two in a complementary manner enables the development of reliable and verifiable AI …
  arxiv Shusaku Egami, Aoi Ohta, Tomoki Tsujimura, Masaki Asada 等 2026-05-10T06:00:29Z 置信度 0.78 cs.CLcs.AIcs.DBcs.MM
• Authoritarian Recursions: How Fiction, History, and AI Reinforce Control in Education, Warfare, and Discourse
  This article introduces the concept of \textit{authoritarian recursion} to theorize how AI systems consolidate institutional control across education, warfare, and digital discourse. It identifies a shared recursive architecture in which algorithms mediate jud…
  arxiv Hasan Oguz 2025-04-12T01:01:26Z 置信度 0.78 cs.CY
• An Edge AI System Based on FPGA Platform for Railway Fault Detection
  As the demands for railway transportation safety increase, traditional methods of rail track inspection no longer meet the needs of modern railway systems. To address the issues of automation and efficiency in rail fault detection, this study introduces a rail…
  arxiv Jiale Li, Yulin Fu, Dongwei Yan, Sean Longyu Ma 等 2024-08-08T22:44:30Z 置信度 0.78 cs.CVcs.AI
• Supporting Mitosis Detection AI Training with Inter-Observer Eye-Gaze Consistencies
  The expansion of artificial intelligence (AI) in pathology tasks has intensified the demand for doctors' annotations in AI development. However, collecting high-quality annotations from doctors is costly and time-consuming, creating a bottleneck in AI progress…
  arxiv Hongyan Gu, Zihan Yan, Ayesha Alvi, Brandon Day 等 2024-04-02T05:57:35Z 置信度 0.78 cs.CV
• Curry-DPO: Enhancing Alignment using Curriculum Learning & Ranked Preferences
  Direct Preference Optimization (DPO) is an effective technique that leverages pairwise preference data (usually one chosen and rejected response pair per user prompt) to align LLMs to human preferences. In practice, multiple responses can exist for a given pro…
  arxiv Pulkit Pattnaik, Rishabh Maheshwary, Kelechi Ogueji, Vikas Yadav 等 2024-03-12T00:58:19Z 置信度 0.78 cs.CLcs.AIcs.LG
• 2024 YR4: Identification of Possible Precoveries in 2016 IPTF Data
  2024 YR4 is a 40-100 meter-diameter asteroid and former Torino Scale 3 object which currently has a roughly 4% chance of impacting the Moon on 2032 December 22, an event which recent studies suggest could pose a hazard on Earth due to impact ejecta. We present…
  arxiv Sam Deen, Derek Lam 2026-02-28T04:06:45Z 置信度 0.78 astro-ph.EP
• AI for Sustainable Data Protection and Fair Algorithmic Management in Environmental Regulation
  Integration of AI into environmental regulation represents a significant advancement in data management. It offers promising results in both data protection plus algorithmic fairness. This research addresses the critical need for sustainable data protection in…
  arxiv Sahibpreet Singh, Saksham Sharma 2026-02-02T05:43:48Z 置信度 0.78 cs.CYcs.AIcs.CRcs.LG
• Intersymbolic AI: Interlinking Symbolic AI and Subsymbolic AI
  This perspective piece calls for the study of the new field of Intersymbolic AI, by which we mean the combination of symbolic AI, whose building blocks have inherent significance/meaning, with subsymbolic AI, whose entirety creates significance/effect despite …
  arxiv André Platzer 2024-06-17T14:01:59Z 置信度 0.78 cs.AI
• Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era
  Airborne Laser Scanning (ALS) technology has transformed modern archaeology by unveiling hidden landscapes beneath dense vegetation. However, the lack of expert-annotated, open-access resources has hindered the analysis of ALS data using advanced deep learning…
  arxiv Yohann Perron, Vladyslav Sydorov, Adam P. Wijker, Damian Evans 等 2024-12-06T17:32:53Z 置信度 0.78 cs.CVcs.AI
• Aligning AI Research with the Needs of Clinical Coding Workflows: Eight Recommendations Based on US Data Analysis and Critical Review
  Clinical coding is crucial for healthcare billing and data analysis. Manual clinical coding is labour-intensive and error-prone, which has motivated research towards full automation of the process. However, our analysis, based on US English electronic health r…
  arxiv Yidong Gan, Maciej Rybinski, Ben Hachey, Jonathan K. Kummerfeld 2024-12-23T23:39:05Z 置信度 0.78 cs.CLcs.AI
• ConvoCache: Smart Re-Use of Chatbot Responses
  We present ConvoCache, a conversational caching system that solves the problem of slow and expensive generative AI models in spoken chatbots. ConvoCache finds a semantically similar prompt in the past and reuses the response. In this paper we evaluate ConvoCac…
  arxiv Conor Atkins, Ian Wood, Mohamed Ali Kaafar, Hassan Asghar 等 2024-06-26T07:35:10Z 置信度 0.78 cs.CL
• AI Integrity: A New Paradigm for Verifiable AI Governance
  AI systems increasingly shape high-stakes decisions in healthcare, law, defense, and education, yet existing governance paradigms -- AI Ethics, AI Safety, and AI Alignment -- share a common limitation: they evaluate outcomes rather than verifying the reasoning…
  arxiv Seulki Lee 2026-04-13T06:45:30Z 置信度 0.78 cs.AI
• Empowering knowledge through AI: open scholarship proactively supporting well trained generative AI
  Generative AI has taken the world by storm over the last few years, and the world of scholarly communications has not been immune to this. Most discussions in this area address how we can integrate these tools into our workflows, concerns about how researchers…
  crossref Beth Montague-Hellen 2024-06-18T06:47:15Z 置信度 0.70
• What is Affective Computing?
  Affective computing is the study and development of systems and devices that can recognize, interpret, process, and simulate human affects. It is an interdisciplinary field spanning computer science, psychology, and cognitive science. While the origins of the …
  crossref Ahmed Banafa 2024-02-07T15:21:25Z 置信度 0.70
• Reflections on the Virtuous AI Project
  crossref Braden Molhoek 2026-06-27T20:18:37Z 置信度 0.70
• Proposing Central Asian AI Ethics Principles: A Multilevel Approach for Responsible AI
  This paper puts forth Central Asian AI Ethics Principles and proposes a layered strategy tailored for the development of ethical principles in the field of artificial intelligence (AI) in Central Asian countries. This approach includes the customization of AI …
  crossref Ammar Younas, Yi Zeng 2024-02-05T11:53:15Z 置信度 0.70
• Research on the Construction and Educational Application of a Comprehensive Ideological and Political Model Based on Value Alignment Reinforcement Learning
  The rapid development of generative artificial intelligence has injected strong impetus into the digital transformation of education, especially in the field of ideological and political education, where it demonstrates great potential. This article focuses on…
  crossref Min Zhang 2025-11-15T10:39:26Z 置信度 0.70
• Applications of AI Alignment and Anticipatory Networks to Designing Industrial Risk Management Decision Support Systems
  This paper proposes new ideas to be implemented in the design of intelligent decision support systems (IDSSs) for the management of industrial risks and safety. This class of informa¬tion systems links different departments of an enterprise in case of emergenc…
  crossref Andrzej M. J. Skulimowski, Paweł Łydek 2024-04-11T19:08:34Z 置信度 0.70
• INTEGRATED AI GOVERNANCE FOR SUSTAINABLE DEVELOPMENT: A TRIADIC FRAMEWORK (RL-GENAI-CYBERSECURITY) WITH DIGITAL FORENSICS AND LEGISLATIVE ALIGNMENT FOR EMERGING ECONOMIES
  In the contemporary volatile, uncertain, complex, and ambiguous (VUCA) landscape, artificial intelligence (AI) governance cannot merely exist as a passive set of policy checklists or normative ethical statements. Instead, it must function as an embedded, multi…
  crossref Gabriel Kabanda 2026-08-01T10:57:35Z 置信度 0.70
• Hubungan Supervisi Akademik Kepala Sekolah, Komunikasi Interpersonal, dan Etos Kerja dengan Kinerja Guru di SDN Kecamatan Banjarbaru Utara
  This study aims to describe the principal's academic supervision activities, interpersonal communication, work ethic, and teacher performance; and analyze the direct and indirect relationship between the principal's academic supervision, interpersonal communic…
  crossref Faisal Akbar, Aslamiah Aslamiah, Ahmad Muhyani Rizalie 2024-08-06T23:35:02Z 置信度 0.70
• Guardians of Intelligence: Building a Robust AI Governance Framework
  I’ll be honest; when people started asking me to comment on AI governance, I didn’t exactly know what they were talking about. So, I want to start this conversation by defining exactly what I am referring to when I say, “AI governance.”
  crossref William Hawkins 2024-11-07T13:04:47Z 置信度 0.70
• Understanding Large Language Models
  As mentioned in Chapter 1 , the most significant development in AI is the introduction of generative AI. As promised, we will take a comprehensive look at generative AI. As part of this effort, we will learn new terminologies and concepts. By the time you have…
  crossref Julian Soh, Priyanshi Singh 2024-11-18T19:29:04Z 置信度 0.70
• Which Requirements Apply to High-Risk AI Systems?
  crossref Paul Voigt, Nils Hullen 2024-11-18T08:16:16Z 置信度 0.70
• Semantic Alignment is Not Enough: Evaluating Creativity in Iterative AI Image Generation
  As Generative AI systems are increasingly used as creative partners rather than tools, aligning computational and human evaluations of creativity has become increasingly important. Using a Telephone game-inspired setup, this work examines how co-evolutionary g…
  crossref R. P. W. Schmidt, R. Conijn, P.-Y. Lin, P. Pauwels 等 2026-08-21T12:41:21Z 置信度 0.70
• Abstractness Impacts Conversational Dynamics and Interactive Alignment
  crossref Claudia Mazzuca, Caterina Villani, Tommaso Lamarra, Marianna Marcella Bolognesi 等 2024-09-18T11:21:14Z 置信度 0.70
• RODM-Alignment: An Inertial Alignment Algorithm for Sliding Window Reverse Optimization Delayed Marginalization
  In the initial alignment of the strapdown inertial navigation system, it is difficult to obtain sufficient data information to make the optimized state of convergence in a short time, which cannot realize fast alignment, and the accuracy of the alignment resul…
  crossref Jincheng Peng, Xiaoli Zhang, Xiafu Peng, Pengchao Yao 等 2024-08-13T13:25:17Z 置信度 0.70
• Securing AI Models
  As enterprises increasingly rely on AI models to derive insights and power important decision-making processes, the need to secure these models becomes critical. This chapter investigates best practices for protecting AI models, including a complete methodolog…
  crossref Ranadeep Reddy Palle, Krishna Chaitanya Rao Kathala 2024-07-17T17:02:38Z 置信度 0.70
• Devika AI: An Open-Source Revolution In AI-Powered Code Generation
  Devika AI is an innovative open-source platform designed to revolutionize software development through AIpowered code generation. Leveraging advanced natural language processing (NLP), machine learning algorithms, and a modular architecture, Devika AI translat…
  crossref Anuku Sowjanya 2024-10-26T04:50:44Z 置信度 0.70
• AI in Consumer Behavior Analysis and Digital Marketing: A Strategic Approach
  The rapid advancement of Artificial Intelligence (AI) has revolutionized consumer behavior analysis and digital marketing strategies by enabling personalized and efficient data-driven approaches. AI-driven tools like predictive analytics, natural language proc…
  crossref Nane Davtyan 2024-11-06T14:57:16Z 置信度 0.70
• Ai Joseph Wei
  crossref Ai Guoying, Guo Siping 2024-03-23T17:01:33Z 置信度 0.70
• GPT-4 Attempting to Attack AI-Text Detectors
  crossref Alshehri Nojoud, Lin Yuhao 2024-11-23T18:38:00Z 置信度 0.70
• Generating Explanations for AI-Powered Delay Prediction in Software Projects
  crossref Shunichiro Tomura, Hoa Khanh Dam 2024-05-31T19:01:41Z 置信度 0.70
• 2024 IEEE 3rd International Conference on AI in Cybersecurity (ICAIC)
  crossref 2024-02-16T18:58:54Z 置信度 0.70
• Index
  crossref 2024-02-23T09:45:24Z 置信度 0.70
• Vision-Based Generic Potential Function for Policy Alignment in Multi-Agent Reinforcement Learning
  Guiding the policy of multi-agent reinforcement learning to align with human common sense is a difficult problem, largely due to the complexity of modeling common sense as a reward, especially in complex and long-horizon multi-agent tasks. Recent works have sh…
  crossref Hao Ma, Shijie Wang, Zhiqiang Pu, Siyao Zhao 等 2025-04-11T12:54:36Z 置信度 0.70
• Bilinguismo jurídico chinês-português em Macau: análise e alinhamento de corpus com IA
  O artigo explora o bilinguismo jurídico em Macau, uma região administrativa especial da China que adota o princípio “um país, dois sistemas”. A análise desenvolvida se concentra na coexistência do chinês e do português na legislação local, destacando a hierarq…
  crossref Jean-Claude Miroir 2025-09-30T19:13:26Z 置信度 0.70
• eLife assessment: Sensitive remote homology search by local alignment of small positional embeddings from protein language models
  Protein language deep learning models can quickly and accurately translate amino acid sequences into profile hidden Markov models or a structure alphabet, dramatically improving remote homology search sensitivity without compromising space or time efficiency.
  crossref Alan M Moses 2024-03-15T07:31:14Z 置信度 0.70
• Returning to Holistic Alignment
  crossref 2021-10-18T15:10:57Z 置信度 0.70
• Enhancing Dialogue Agent Alignment with Targeted Human Assessments Using Generative AI
  crossref Chandu Vaidya, Swapnil Mahajan, Bhojraj Lalit Narware, Divya Rameshwar Yemde 等 2025-09-30T23:47:34Z 置信度 0.70
• AI-Driven Customized Cyber Security Training and Awareness
  Artificial intelligence (AI) has been successfully used in cyber security for enhancing comprehending, investigating, and evaluating cyber threats. It can effectively anticipate cyber risks in a more efficient way. AI also helps in putting in place strategies …
  crossref Shadi Jawhar, Jeremy Miller, Zeina Bitar 2024-02-16T13:57:05Z 置信度 0.70
• Testing for Causality in Artificial Intelligence (AI)
  crossref Nithin Nagaraj 2024-03-20T06:02:30Z 置信度 0.70
• Manajemen Peserta Didik Sekolah Dasar (Studi Multi Situs pada SDN Paringin Selatan 1 dan SD IT Darul Fikri Kabupaten Balangan)
  The aim of this research is to describe student management including student admission planning, student development and student evaluation at SDN Paringin Selatan 1 and SD IT Darul Fikri, Balangan Regency. This research is qualitative research in the form of …
  crossref Wartinah Wartinah, Aslamiah Aslamiah, Sulaiman Sulaiman 2024-08-06T23:35:02Z 置信度 0.70
• Decision Alignment Protocols: Harmonising AI Agents for Comprehensive Market Assessment
  As the complexity of global markets increases, the demand for coherent, high-fidelity decision-making in AI-driven investment analysis has intensified. This paper introduces Decision Alignment Protocols (DAPs), a novel framework that advances beyond existing m…
  crossref Akinyemi Arabambi, Bisola Faith Kayode, Olamide Faroun, Fatimat Okeleye 等 2025-12-02T18:45:35Z 置信度 0.70
• Faithful Innovation: Negotiating Institutional Logics for AI Value Alignment Among Christian Churches in America
  As artificial intelligence (AI) technologies are progressively integrated across life domains, religious organizations are negotiating opportunities and tensions as AI applications are incorporated into their daily practices. Given the limited and growing rese…
  crossref Pauline Hope Cheong, Liming Liu 2025-02-27T05:13:58Z 置信度 0.70
• PairK: Pairwise k-mer alignment for quantifying protein motif conservation in disordered regions
  ABSTRACT Protein-protein interactions are often mediated by a modular peptide recognition domain binding to a short linear motif (SLiM) in the disordered region of another protein. The ability to predict domain-SLiM interactions would allow researchers to map …
  crossref Jackson C. Halpin, Amy E. Keating 2024-07-24T20:10:25Z 置信度 0.70
• Tad pilus alignment complex protein RcpC
  crossref S.L. Evans, I. Peretiazhko, J.R.C. Bergeron 2024-10-15T18:57:38Z 置信度 0.70
• Artificing intelligence: from isolating IQ to amoral AI
  crossref Colin Koopman 2024-12-17T10:50:58Z 置信度 0.70
• Kinematic Alignment Achieves a More Balanced Total Knee Arthroplasty Than Mechanical Alignment among CPAK Type I Patients: A Simulation Study
  Background: There is no consensus on whether mechanical alignment (MA) or kinematic alignment (KA) should be chosen for total knee arthroplasty (TKA) for coronal plane alignment of the knee (CPAK) Type I with a varus arithmetic HKA (aHKA) and apex distal joint…
  crossref Noriaki Arai, Seikai Toyooka, Hironari Masuda, Hirotaka Kawano 等 2024-06-19T11:47:17Z 置信度 0.70
• Chapter 22: Creative Ad Design with AI
  crossref 2024-08-28T10:58:12Z 置信度 0.70