AI 安全与对齐 · 全部实体（第 68 / 100 页）

本页收录第 6701–6800 条，共 10000 条 · 返回 AI 安全与对齐 首页

• A comprehensive review of applications of AI technologies in higher engineering education
  This paper presents a comprehensive narrative review of artificial intelligence (AI) applications in higher engineering education. We examine how AI technologies are reshaping teaching, learning, and assessment in engineering disciplines. Key implementation ar…
  openalex Chao Liu 2025-11-28 置信度 0.72 CurriculumEngineering educationApplications of artificial intelligenceKey (lock)Computer science
• Moral Diversity in Institutional Policies Governing the Student Usage of Generative AI : An International Comparison
  ABSTRACT This paper explores from an ethical standpoint how higher education institutions in three different countries (Canada, UK, and USA) have framed their policies containing guidelines in regard to the student usage of generative artificial intelligence (…
  openalex Christos Orfanidis 2025-08-06 置信度 0.72 Diversity (politics)Generative grammarPsychologySociologySocial psychology
• Enhancing Human-Computer Interaction in Socially Inclusive Contexts: Flow Heuristics and AI Systems in Compliance with DIN EN ISO 9241 Standards
  In the domain of generative Artificial Intelligence (AI), the deployment of user-centered Human-Computer Interaction (HCI) methodologies, compliant with the DIN EN ISO 9241 standard, furnishes a substantive methodological scaffold. These methodologies have dem…
  openalex Giovanni Vindigni 2024-07-01 置信度 0.72 Compliance (psychology)HeuristicsFlow (mathematics)Computer scienceHuman–computer interaction
• LLMs and AI Life Models for Traditional Chinese Medicine-derived Geroprotector Formulation
  Traditional Chinese Medicine (TCM) represents a vast repository of therapeutic knowledge, but its integration with modern drug discovery remains challenging due to fundamental differences in theoretical frameworks. We developed an AI agent-driven framework com…
  openalex Fedor Galkin, Feng Ren, Alex Zhavoronkov 2025-01-01 置信度 0.72 Identification (biology)Computer scienceBridge (graph theory)Traditional Chinese medicineDrug discovery
• Overcoming Adoption Barriers: Strategies for Scalable AI Transformation in Enterprises
  The integration of Artificial Intelligence (AI) into enterprise operations offers significant opportunities for efficiency, innovation, and competitive advantage. However, organizations often encounter multiple barriers that hinder AI adoption, including techn…
  openalex Lakshmi Chandrakanth Kasireddy 2025-04-03 置信度 0.72 Transformation (genetics)ScalabilityBusinessComputer scienceProcess management
• From co-design to co-teaching: a comprehensive approach to an integrated AI curriculum in middle school STEM education
  Abstract Co-design and co-teaching are practical approaches for teachers with varying experiences to get involved in integrating AI curriculum with STEM subjects. However, teachers’ limited expertise in co-design and co-teaching hinders active implementation. …
  openalex Keunjae Kim, Kyungbin Kwon 2025-09-03 置信度 0.72 CurriculumMathematics educationComputer sciencePsychologyPedagogy
• Developing Conceptual AI Models for Legal Text Interpretation and Regulatory Compliance Automation
  Artificial Intelligence (AI) is progressively reshaping the legal and regulatory landscape by enhancing the ability to interpret legal texts and automate compliance processes. This paper proposes a conceptual AI model tailored to the nuanced domain of legal te…
  openalex Odunayo Oyasiji, Adeola Okesiji, Adeyinka Lawal, Bisayo Oluwatosin Otokiti 等 2024-01-01 置信度 0.72 Compliance (psychology)Interpretation (philosophy)AutomationComputer scienceConceptual model
• Beyond Ethical Alignment: Evaluating LLMs as Artificial Moral Assistants
  The recent rise in popularity of large language models (LLMs) has prompted considerable concerns about their moral capabilities. Although considerable effort has been dedicated to aligning LLMs with human moral values, existing benchmarks and evaluations remai…
  arxiv Alessio Galatolo, Luca Alberto Rappuoli, Katie Winkle, Meriem Beloucif 2025-08-18T09:28:55Z 置信度 0.78 cs.AI
• Human-Aligned Skill Discovery: Balancing Behaviour Exploration and Alignment
  Unsupervised skill discovery in Reinforcement Learning aims to mimic humans' ability to autonomously discover diverse behaviors. However, existing methods are often unconstrained, making it difficult to find useful skills, especially in complex environments, w…
  arxiv Maxence Hussonnois, Thommen George Karimpanal, Santu Rana 2025-01-29T06:14:27Z 置信度 0.78 cs.LGcs.RO
• DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps
  The recent surge in advanced generative models, such as diffusion models and generative adversarial networks (GANs), has led to an alarming rise in AI-generated images across various domains on the web. While such technologies offer benefits such as democratiz…
  arxiv Jocelyn Dzuong 2025-02-12T22:24:49Z 置信度 0.78 cs.CVcs.AIcs.LG
• LeLaR: The First In-Orbit Demonstration of an AI-Based Satellite Attitude Controller
  Attitude control is essential for many satellite missions. Classical controllers, however, are time-consuming to design and sensitive to model uncertainties and variations in operational boundary conditions. Deep Reinforcement Learning (DRL) offers a promising…
  arxiv Kirill Djebko, Tom Baumann, Erik Dilger, Frank Puppe 等 2025-12-22T17:00:25Z 置信度 0.78 cs.ROcs.AIcs.LGeess.SY
• Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey
  This paper introduces a novel benchmark as part of the AIS 2024 Real-Time Image Super-Resolution (RTSR) Challenge, which aims to upscale compressed images from 540p to 4K resolution (4x factor) in real-time on commercial GPUs. For this, we use a diverse test s…
  arxiv Marcos V. Conde, Zhijun Lei, Wen Li, Cosmin Stejerean 等 2024-04-25T10:12:42Z 置信度 0.78 cs.CVeess.IV
• A Review of Generative AI in Computer Science Education: Challenges and Opportunities in Accuracy, Authenticity, and Assessment
  This paper surveys the use of Generative AI tools, such as ChatGPT and Claude, in computer science education, focusing on key aspects of accuracy, authenticity, and assessment. Through a literature review, we highlight both the challenges and opportunities the…
  arxiv Iman Reihanian, Yunfei Hou, Yu Chen, Yifei Zheng 2025-06-17T19:20:58Z 置信度 0.78 cs.CYcs.AI
• Exploring Image-Text Alignment for Radio Galaxy Morphologies
  We investigate whether specially constructed text captions can capture the same morphological information as radio galaxy images. Using the MiraBest dataset, we generate captions with a domain-specific prompt and evaluate their alignment with images through th…
  arxiv Erica Lastufka, Mariia Drozdova, Svyatoslav Volosynovskiy 2026-07-07T14:08:18Z 置信度 0.78 astro-ph.IM
• Generative AI for Multimedia Communication: Recent Advances, An Information-Theoretic Framework, and Future Opportunities
  Recent breakthroughs in generative artificial intelligence (AI) are transforming multimedia communication. This paper systematically reviews key recent advancements across generative AI for multimedia communication, emphasizing transformative models like diffu…
  arxiv Yili Jin, Xue Liu, Jiangchuan Liu 2025-08-23T23:26:49Z 置信度 0.78 cs.MMeess.IV
• Opt-ICL at LeWiDi-2025: Maximizing In-Context Signal from Rater Examples via Meta-Learning
  Many natural language processing (NLP) tasks involve subjectivity, ambiguity, or legitimate disagreement between annotators. In this paper, we outline our system for modeling human variation. Our system leverages language models' (LLMs) in-context learning abi…
  arxiv Taylor Sorensen, Yejin Choi 2025-10-08T14:59:24Z 置信度 0.78 cs.CLcs.AI
• Using a cognitive architecture to consider antiBlackness in design and development of AI systems
  How might we use cognitive modeling to consider the ways in which antiblackness, and racism more broadly, impact the design and development of AI systems? We provide a discussion and an example towards an answer to this question. We use the ACT-R/Φ cognitive a…
  arxiv Christopher L. Dancy 2022-07-01T19:39:13Z 置信度 0.78 cs.CYcs.AI
• Aligning VLM Assistants with Personalized Situated Cognition
  Vision-language models (VLMs) aligned with general human objectives, such as being harmless and hallucination-free, have become valuable assistants of humans in managing visual tasks. However, people with diversified backgrounds have different cognition even i…
  arxiv Yongqi Li, Shen Zhou, Xiaohu Li, Xin Miao 等 2025-06-01T09:50:54Z 置信度 0.78 cs.AIcs.CL
• Exploring AI-powered Digital Innovations from A Transnational Governance Perspective: Implications for Market Acceptance and Digital Accountability Accountability
  This study explores the application of the Technology Acceptance Model (TAM) to AI-powered digital innovations within a transnational governance framework. By integrating Latourian actor-network theory (ANT), this study examines how institutional motivations, …
  arxiv Claire Li, David Peter Wallis Freeborn 2025-04-28T19:31:01Z 置信度 0.78 cs.CYcs.HCecon.GN
• Towards a Playground to Democratize Experimentation and Benchmarking of AI Agents for Network Troubleshooting
  Recent research has demonstrated the effectiveness of Artificial Intelligence (AI), and more specifically, Large Language Models (LLMs), in supporting network configuration synthesis and automating network diagnosis tasks, among others. In this preliminary wor…
  arxiv Zhihao Wang, Alessandro Cornacchia, Franco Galante, Carlo Centofanti 等 2025-07-01T08:46:37Z 置信度 0.78 cs.NIcs.AIcs.MA
• Generative AI in Knowledge Work: Design Implications for Data Navigation and Decision-Making
  Our study of 20 knowledge workers revealed a common challenge: the difficulty of synthesizing unstructured information scattered across multiple platforms to make informed decisions. Drawing on their vision of an ideal knowledge synthesis tool, we developed Yo…
  arxiv Bhada Yun, Dana Feng, Ace S. Chen, Afshin Nikzad 等 2025-03-24T08:02:44Z 置信度 0.78 cs.HCcs.AIcs.ET
• More Similar Values, More Trust? -- the Effect of Value Similarity on Trust in Human-Agent Interaction
  As AI systems are increasingly involved in decision making, it also becomes important that they elicit appropriate levels of trust from their users. To achieve this, it is first important to understand which factors influence trust in AI. We identify that a re…
  arxiv Siddharth Mehrotra, Catholijn M. Jonker, Myrthe L. Tielman 2021-05-19T16:06:46Z 置信度 0.78 cs.AIcs.HC
• Trends in Frontier AI Model Count: A Forecast to 2028
  Governments are starting to impose requirements on AI models based on how much compute was used to train them. For example, the EU AI Act imposes requirements on providers of general-purpose AI with systemic risk, which includes systems trained using greater t…
  arxiv Iyngkarran Kumar, Sam Manning 2025-04-21T22:31:57Z 置信度 0.78 cs.CYcs.AI
• How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law
  This paper investigates the relationship between law and eXplainable Artificial Intelligence (XAI). While there is much discussion about the AI Act, for which the trilogue of the European Parliament, Council and Commission recently concluded, other areas of la…
  arxiv Benjamin Fresz, Elena Dubovitskaya, Danilo Brajovic, Marco Huber 等 2024-04-19T10:08:28Z 置信度 0.78 cs.AIcs.CY
• A Framework for Cryptographic Verifiability of End-to-End AI Pipelines
  The increasing integration of Artificial Intelligence across multiple industry sectors necessitates robust mechanisms for ensuring transparency, trust, and auditability of its development and deployment. This topic is particularly important in light of recent …
  arxiv Kar Balan, Robert Learney, Tim Wood 2025-03-28T16:20:57Z 置信度 0.78 cs.CRcs.AI
• We Are AI: Taking Control of Technology
  Responsible AI (RAI) is the science and practice of ensuring the design, development, use, and oversight of AI are socially sustainable--benefiting diverse stakeholders while controlling the risks. Achieving this goal requires active engagement and participati…
  arxiv Julia Stoyanovich, Armanda Lewis, Eric Corbett, Lucius E. J. Bynum 等 2025-06-09T18:18:08Z 置信度 0.78 cs.CY
• A Comparative Study of Neurosymbolic AI Approaches to Interpretable Logical Reasoning
  General logical reasoning, defined as the ability to reason deductively on domain-agnostic tasks, continues to be a challenge for large language models (LLMs). Current LLMs fail to reason deterministically and are not interpretable. As such, there has been a r…
  arxiv Michael K. Chen 2025-08-05T12:14:32Z 置信度 0.78 cs.AIcs.CLcs.LGcs.SC
• Not All Explanations are Created Equal: Investigating the Pitfalls of Current XAI Evaluation
  Explainable Artificial Intelligence (XAI) aims to create transparency in modern AI models by offering explanations of the models to human users. There are many ways in which researchers have attempted to evaluate the quality of these XAI models, such as user s…
  arxiv Joe Shymanski, Jacob Brue, Sandip Sen 2025-09-27T08:30:38Z 置信度 0.78 cs.HCcs.AI
• "My productivity is boosted, but ..." Demystifying Users' Perception on AI Coding Assistants
  This paper aims to explore fundamental questions in the era when AI coding assistants like GitHub Copilot are widely adopted: what do developers truly value and criticize in AI coding assistants, and what does this reveal about their needs and expectations in …
  arxiv Yunbo Lyu, Zhou Yang, Jieke Shi, Jianming Chang 等 2025-08-17T08:22:47Z 置信度 0.78 cs.SEcs.AIcs.HC
• Teachers' Perceived Benefits and Risks of AI Across Fifty-Five Countries: An Audit of LLM Alignment and Steerability
  Teachers' trust in artificial intelligence (AI) in education depends on how they balance its perceived benefits and risks. Yet global discussions about scaling AI in education rely on fragmented evidence, as most studies of teachers' perceptions focus on singl…
  arxiv Yan Tao, Olga Viberg, Deepak Varuvel Dennison, Zhikun Wu 等 2026-05-08T21:03:25Z 置信度 0.78 cs.CY
• AI-Based Crypto Tokens: The Illusion of Decentralized AI?
  The convergence of blockchain and artificial intelligence (AI) has led to the emergence of AI-based tokens, which are cryptographic assets designed to power decentralized AI platforms and services. This paper provides a comprehensive review of leading AI-token…
  arxiv Rischan Mafrur 2025-04-29T13:44:33Z 置信度 0.78 cs.DCcs.AIcs.CRcs.DB
• Adversarial Paraphrasing: A Universal Attack for Humanizing AI-Generated Text
  The increasing capabilities of Large Language Models (LLMs) have raised concerns about their misuse in AI-generated plagiarism and social engineering. While various AI-generated text detectors have been proposed to mitigate these risks, many remain vulnerable …
  arxiv Yize Cheng, Vinu Sankar Sadasivan, Mehrdad Saberi, Shoumik Saha 等 2025-06-08T05:15:01Z 置信度 0.78 cs.CL
• Quintessence and phantoms in light of DESI 2025
  We analyse DESI BAO, CMB, and supernova data to explore the physical origin of the DESI indication for dynamical dark energy. Beyond the standard CPL parametrization, we explore truncated alternatives and quintessence models. We conclude that there is compelli…
  arxiv Ioannis D. Gialamas, Gert Hütsi, Martti Raidal, Juan Urrutia 等 2025-06-26T17:58:18Z 置信度 0.78 astro-ph.COhep-ph
• Toward Needs-Conscious Design: Co-Designing a Human-Centered Framework for AI-Mediated Communication
  We introduce Needs-Conscious Design, a human-centered framework for AI-mediated communication that builds on the principles of Nonviolent Communication (NVC). We conducted an interview study with N=14 certified NVC trainers and a diary study and co-design with…
  arxiv Robert Wolfe, Aayushi Dangol, JaeWon Kim, Alexis Hiniker 2025-08-15T01:44:23Z 置信度 0.78 cs.HC
• HEDGE: Heterogeneous Ensemble for Detection of AI-GEnerated Images in the Wild
  Robust detection of AI-generated images in the wild remains challenging due to the rapid evolution of generative models and varied real-world distortions. We argue that relying on a single training regime, resolution, or backbone is insufficient to handle all …
  arxiv Fei Wu, Dagong Lu, Mufeng Yao, Xinlei Xu 等 2026-04-04T02:46:36Z 置信度 0.78 cs.CV
• Deep Graph Learning for Industrial Carbon Emission Analysis and Policy Impact
  Industrial carbon emissions are a major driver of climate change, yet modeling these emissions is challenging due to multicollinearity among factors and complex interdependencies across sectors and time. We propose a novel graph-based deep learning framework D…
  arxiv Xuanming Zhang 2025-06-25T02:42:29Z 置信度 0.78 cs.LGcs.AI
• How Model Size, Temperature, and Prompt Style Affect LLM-Human Assessment Score Alignment
  We examined how model size, temperature, and prompt style affect Large Language Models' (LLMs) alignment within itself, between models, and with human in assessing clinical reasoning skills. Model size emerged as a key factor in LLM-human score alignment. Stud…
  arxiv Julie Jung, Max Lu, Sina Chole Benker, Dogus Darici 2025-09-14T02:24:41Z 置信度 0.78 cs.CLstat.ME
• A Composite Alignment-Aware Framework for Myocardial Lesion Segmentation in Multi-sequence CMR Images
  Accurate segmentation of myocardial lesions from multi-sequence cardiac magnetic resonance imaging is essential for cardiac disease diagnosis and treatment planning. However, achieving optimal feature correspondence is challenging due to intensity variations a…
  arxiv Yifan Gao, Shaohao Rui, Haoyang Su, Jinyi Xiang 等 2025-07-16T03:56:45Z 置信度 0.78 eess.IV
• "It's like a rubber duck that talks back": Understanding Generative AI-Assisted Data Analysis Workflows through a Participatory Prompting Study
  Generative AI tools can help users with many tasks. One such task is data analysis, which is notoriously challenging for non-expert end-users due to its expertise requirements, and where AI holds much potential, such as finding relevant data sources, proposing…
  arxiv Ian Drosos, Advait Sarkar, Xiaotong Xu, Carina Negreanu 等 2024-07-03T08:21:23Z 置信度 0.78 cs.HC
• AlignX: Advancing Multilingual Large Language Models with Multilingual Representation Alignment
  Multilingual large language models (LLMs) possess impressive multilingual understanding and generation capabilities. However, their performance and cross-lingual alignment often lag for non-dominant languages. A common solution is to fine-tune LLMs on large-sc…
  arxiv Mengyu Bu, Shaolei Zhang, Zhongjun He, Hua Wu 等 2025-09-29T06:37:46Z 置信度 0.78 cs.CL
• Brief analysis of DeepSeek R1 and its implications for Generative AI
  In late January 2025, DeepSeek released their new reasoning model (DeepSeek R1); which was developed at a fraction of the cost yet remains competitive with OpenAI's models, despite the US's GPU export ban. This report discusses the model, and what its release …
  arxiv Sarah Mercer, Samuel Spillard, Daniel P. Martin 2025-02-04T17:45:32Z 置信度 0.78 cs.LG
• Attacks by Content: Automated Fact-checking is an AI Security Issue
  When AI agents retrieve and reason over external documents, adversaries can manipulate the data they receive to subvert their behaviour. Previous research has studied indirect prompt injection, where the attacker injects malicious instructions. We argue that i…
  arxiv Michael Schlichtkrull 2025-10-13T10:18:48Z 置信度 0.78 cs.CLcs.AI
• Towards a Humanized Social-Media Ecosystem: AI-Augmented HCI Design Patterns for Safety, Agency & Well-Being
  Social platforms connect billions of people, yet their engagement-first algorithms often work on users rather than with them, amplifying stress, misinformation, and a loss of control. We propose Human-Layer AI (HL-AI)--user-owned, explainable intermediaries th…
  arxiv Mohd Ruhul Ameen, Akif Islam 2025-11-08T06:22:15Z 置信度 0.78 cs.HCcs.AIcs.CV
• The optical variability of steep-spectrum radio quasars in the SDSS Stripe 82 region
  While there are a lot of investigations on the optical variability of flat-spectrum radio quasars (FSRQs), not much work has been done on the optical variability of steep-spectrum radio quasars (SSRQs). We investigate the optical variability of 18 SSRQs and 15…
  arxiv Minfeng Gu, Y. L. Ai 2011-08-03T02:49:35Z 置信度 0.78 astro-ph.CO
• Type-Driven Prompt Programming: From Typed Interfaces to a Calculus of Constraints
  Prompt programming treats large language model prompts as software components with typed interfaces. Based on a literature survey of 15 recent works from 2023 to 2025, we observe a consistent trend: type systems are central to emerging prompt programming frame…
  arxiv Abhijit Paul 2025-08-17T19:34:24Z 置信度 0.78 cs.PLcs.FL
• Designing for Novice Debuggers: A Pilot Study on an AI-Assisted Debugging Tool
  Debugging is a fundamental skill that novice programmers must develop. Numerous tools have been created to assist novice programmers in this process. Recently, large language models (LLMs) have been integrated with automated program repair techniques to genera…
  arxiv Oka Kurniawan, Erick Chandra, Christopher M. Poskitt, Yannic Noller 等 2025-09-25T12:18:20Z 置信度 0.78 cs.SEcs.CY
• Self-alignment of Large Video Language Models with Refined Regularized Preference Optimization
  Despite recent advances in Large Video Language Models (LVLMs), they still struggle with fine-grained temporal understanding, hallucinate, and often make simple mistakes on even simple video question-answering tasks, all of which pose significant challenges to…
  arxiv Pritam Sarkar, Ali Etemad 2025-04-16T13:43:56Z 置信度 0.78 cs.CV
• Tokenized Bandit for LLM Decoding and Alignment
  We introduce the tokenized linear bandit (TLB) and multi-armed bandit (TMAB), variants of linear and stochastic multi-armed bandit problems inspired by LLM decoding and alignment. In these problems, at each round $t \in [T]$, a user submits a query (context), …
  arxiv Suho Shin, Chenghao Yang, Haifeng Xu, Mohammad T. Hajiaghayi 2025-06-08T20:32:08Z 置信度 0.78 cs.LGcs.AI
• Intercepting 3I/ATLAS at Closest Approach to Jupiter with the Juno spacecraft
  The interstellar object 3I/ATLAS is expected to arrive at a distance of $53.56(\pm 0.45)$ million ${\rm km}$ ($0.358\pm 0.003$~au) from Jupiter on March 16, 2026. We show that applying a total thrust $Δ$V of $2.6755 {\rm km~s^{-1}}$ to lower perijove on Septem…
  arxiv Abraham Loeb, Adam Hibberd, Adam Crowl 2025-07-29T00:21:25Z 置信度 0.78 astro-ph.EPastro-ph.GAastro-ph.IM
• Ultrasound Image Synthesis Using Generative AI for Lung Ultrasound Detection
  Developing reliable healthcare AI models requires training with representative and diverse data. In imbalanced datasets, model performance tends to plateau on the more prevalent classes while remaining low on less common cases. To overcome this limitation, we …
  arxiv Yu-Cheng Chou, Gary Y. Li, Li Chen, Mohsen Zahiri 等 2025-01-10T21:32:50Z 置信度 0.78 eess.IVcs.AIcs.CV
• Predicting Brain Tumor Response to Therapy using a Hybrid Deep Learning and Radiomics Approach
  Accurate evaluation of the response of glioblastoma to therapy is crucial for clinical decision-making and patient management. The Response Assessment in Neuro-Oncology (RANO) criteria provide a standardized framework to assess patients' clinical response, but…
  arxiv Daniil Tikhonov, Matheus Scatolin, Mohor Banerjee, Qiankun Ji 等 2025-09-08T10:15:23Z 置信度 0.78 cs.CV
• Pedagogy-driven Evaluation of Generative AI-powered Intelligent Tutoring Systems
  The interdisciplinary research domain of Artificial Intelligence in Education (AIED) has a long history of developing Intelligent Tutoring Systems (ITSs) by integrating insights from technological advancements, educational theories, and cognitive psychology. T…
  arxiv Kaushal Kumar Maurya, Ekaterina Kochmar 2025-10-26T08:44:21Z 置信度 0.78 cs.CL
• An Investigation on How AI-Generated Responses Affect SoftwareEngineering Surveys
  Survey research is a fundamental empirical method in software engineering, enabling the systematic collection of data on professional practices, perceptions, and experiences. However, recent advances in large language models (LLMs) have introduced new risks to…
  arxiv Ronnie de Souza Santos, Italo Santos, Maria Teresa Baldassarre, Cleyton Magalhaes 等 2025-12-19T11:17:05Z 置信度 0.78 cs.SE
• QUST_NLP at SemEval-2025 Task 7: A Three-Stage Retrieval Framework for Monolingual and Crosslingual Fact-Checked Claim Retrieval
  This paper describes the participation of QUST_NLP in the SemEval-2025 Task 7. We propose a three-stage retrieval framework specifically designed for fact-checked claim retrieval. Initially, we evaluate the performance of several retrieval models and select th…
  arxiv Youzheng Liu, Jiyan Liu, Xiaoman Xu, Taihang Wang 等 2025-06-12T07:06:40Z 置信度 0.78 cs.IRcs.AI
• Finding AI-Generated Faces in the Wild
  AI-based image generation has continued to rapidly improve, producing increasingly more realistic images with fewer obvious visual flaws. AI-generated images are being used to create fake online profiles which in turn are being used for spam, fraud, and disinf…
  arxiv Gonzalo J. Aniano Porcile, Jack Gindi, Shivansh Mundra, James R. Verbus 等 2023-11-14T22:46:01Z 置信度 0.78 cs.CVcs.AI
• Identifying Cooperative Personalities in Multi-agent Contexts through Personality Steering with Representation Engineering
  As Large Language Models (LLMs) gain autonomous capabilities, their coordination in multi-agent settings becomes increasingly important. However, they often struggle with cooperation, leading to suboptimal outcomes. Inspired by Axelrod's Iterated Prisoner's Di…
  arxiv Kenneth J. K. Ong, Lye Jia Jun, Hieu Minh "Jord" Nguyen, Seong Hah Cho 等 2025-03-17T01:21:54Z 置信度 0.78 cs.AIcs.CLcs.GTcs.MA
• Rejoinder: The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review
  This article is the rejoinder to ``The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review,'' to appear in the Journal of the American Statistical Association with discussion. To address the practical and theoretical points rais…
  arxiv Buxin Su, Jiayao Zhang, Natalie Collina, Yuling Yan 等 2026-05-24T17:06:47Z 置信度 0.78 stat.APcs.DLcs.LG
• Model Validation of Agentic AI Systems: A POMDP-Based Framework for Belief-State, Forecast, and Policy Validation
  Agentic artificial intelligence systems introduce a new class of model risk. Unlike traditional predictive models, autonomous agents continuously acquire information, form beliefs regarding latent states of the environment, generate forecasts, select actions, …
  arxiv Matthew Francis Dixon 2026-06-16T00:40:55Z 置信度 0.78 q-fin.RMcs.AIcs.LGstat.ML
• Setting the AI Agenda -- Evidence from Sweden in the ChatGPT Era
  This paper examines the development of the Artificial Intelligence (AI) meta-debate in Sweden before and after the release of ChatGPT. From the perspective of agenda-setting theory, we propose that it is an elite outside of party politics that is leading the d…
  arxiv Bastiaan Bruinsma, Annika Fredén, Kajsa Hansson, Moa Johansson 等 2024-09-25T13:58:02Z 置信度 0.78 cs.AIcs.CY
• Mobility Support for Millimeter Wave Communications: Opportunities and Challenges
  Millimeter-wave (mmWave) communication technology offers a potential and promising solution to support 5G and B5G wireless networks in dynamic scenarios and applications. However, mobility introduces many challenges as well as opportunities to mmWave applicati…
  arxiv Jing Li, Yong Niu, Hao Wu, Bo Ai 等 2022-05-18T20:59:14Z 置信度 0.78 cs.IT
• Memorization: A Close Look at Books
  To what extent can entire books be extracted from LLMs? Using the Llama 3 70B family of models, and the "prefix-prompting" extraction technique, we were able to auto-regressively reconstruct, with a very high level of similarity, one entire book (Alice's Adven…
  arxiv Iris Ma, Ian Domingo, Alberto Krone-Martins, Pierre Baldi 等 2025-04-17T00:20:18Z 置信度 0.78 cs.CLcs.AIcs.LG
• Delta-AI: Local objectives for amortized inference in sparse graphical models
  We present a new algorithm for amortized inference in sparse probabilistic graphical models (PGMs), which we call $Δ$-amortized inference ($Δ$-AI). Our approach is based on the observation that when the sampling of variables in a PGM is seen as a sequence of a…
  arxiv Jean-Pierre Falet, Hae Beom Lee, Nikolay Malkin, Chen Sun 等 2023-10-03T20:37:03Z 置信度 0.78 cs.LGstat.ML
• Artificial Intelligence, Values and Alignment
  This paper looks at philosophical questions that arise in the context of AI alignment. It defends three propositions. First, normative and technical aspects of the AI alignment problem are interrelated, creating space for productive engagement between people w…
  arxiv Iason Gabriel 2020-01-13T10:32:16Z 置信度 0.78 cs.CY
• Large Language Models Imitate Logical Reasoning, but at what Cost?
  We present a longitudinal study which evaluates the reasoning capability of frontier Large Language Models over an eighteen month period. We measured the accuracy of three leading models from December 2023, September 2024 and June 2025 on true or false questio…
  arxiv Lachlan McGinness, Peter Baumgartner 2025-09-16T04:03:42Z 置信度 0.78 cs.AIcs.LO
• Self-supervised Representation Learning with Local Aggregation for Image-based Profiling
  Image-based cell profiling aims to create informative representations of cell images. This technique is critical in drug discovery and has greatly advanced with recent improvements in computer vision. Inspired by recent developments in non-contrastive Self-Sup…
  arxiv Siran Dai, Qianqian Xu, Peisong Wen, Yang Liu 等 2025-06-17T07:25:57Z 置信度 0.78 cs.CV
• Explainable Attention-Based LSTM Framework for Early Detection of AI-Assisted Ransomware via File System Behavioral Analysis
  Ransomware continues to evolve as one of the most disruptive cyber threats, with recent variants increasingly leveraging automated and AI-assisted techniques to evade traditional signature-based defenses. Early detection of such attacks remains a significant c…
  arxiv Prabhudarshi Nayak, Gogulakrishnan Thiyagarajan, Debashree Priyadarshini, Vinay Bist 等 2026-04-19T16:27:57Z 置信度 0.78 cs.CR
• NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search
  Generative AI search is reshaping information retrieval by offering end-to-end answers to complex queries, reducing users' reliance on manually browsing and summarizing multiple web pages. However, while this paradigm enhances convenience, it disrupts the feed…
  arxiv Sunhao Dai, Wenjie Wang, Liang Pang, Jun Xu 等 2025-05-20T17:59:13Z 置信度 0.78 cs.IRcs.AIcs.CLcs.HC
• Towards Embodiment Scaling Laws in Robot Locomotion
  Cross-embodiment generalization underpins the vision of building generalist embodied agents for any robot, yet its enabling factors remain poorly understood. We investigate embodiment scaling laws, the hypothesis that increasing the number of training embodime…
  arxiv Bo Ai, Liu Dai, Nico Bohlinger, Dichen Li 等 2025-05-09T03:25:43Z 置信度 0.78 cs.ROcs.AIcs.LG
• AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights
  As artificial intelligence (AI) tools become widely adopted, large language models (LLMs) are increasingly involved on both sides of decision-making processes, ranging from hiring to content moderation. This dual adoption raises a critical question: do LLMs sy…
  arxiv Jiannan Xu, Gujie Li, Jane Yi Jiang 2025-08-30T11:40:11Z 置信度 0.78 cs.CY
• Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG
  Large language models (LLMs) augmented with retrieval systems have significantly advanced natural language processing tasks by integrating external knowledge sources, enabling more accurate and contextually rich responses. To improve the robustness of such sys…
  arxiv Xin Sun, Jianan Xie, Zhongqi Chen, Qiang Liu 等 2025-05-27T08:21:21Z 置信度 0.78 cs.CL
• Position: We Need Responsible, Application-Driven (RAD) AI Research
  This position paper argues that achieving meaningful scientific and societal advances with artificial intelligence (AI) requires a responsible, application-driven approach (RAD) to AI research. As AI is increasingly integrated into society, AI researchers must…
  arxiv Sarah Hartman, Cheng Soon Ong, Julia Powles, Petra Kuhnert 2025-05-07T03:43:52Z 置信度 0.78 cs.LGcs.AIcs.CY
• SMART: Simulated Students Aligned with Item Response Theory for Question Difficulty Prediction
  Item (question) difficulties play a crucial role in educational assessments, enabling accurate and efficient assessment of student abilities and personalization to maximize learning outcomes. Traditionally, estimating item difficulties can be costly, requiring…
  arxiv Alexander Scarlatos, Nigel Fernandez, Christopher Ormerod, Susan Lottridge 等 2025-07-07T15:41:38Z 置信度 0.78 cs.CLcs.CYcs.LG
• Semi-supervised Graph Anomaly Detection via Robust Homophily Learning
  Semi-supervised graph anomaly detection (GAD) utilizes a small set of labeled normal nodes to identify abnormal nodes from a large set of unlabeled nodes in a graph. Current methods in this line posit that 1) normal nodes share a similar level of homophily and…
  arxiv Guoguo Ai, Hezhe Qiao, Hui Yan, Guansong Pang 2025-06-18T13:19:22Z 置信度 0.78 cs.LG
• SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation
  High-definition (HD) semantic map generation of the environment is an essential component of autonomous driving. Existing methods have achieved good performance in this task by fusing different sensor modalities, such as LiDAR and camera. However, current work…
  arxiv Hao Dong, Weihao Gu, Xianjing Zhang, Jintao Xu 等 2022-11-28T18:59:02Z 置信度 0.78 cs.CVcs.RO
• Optimizing Distributional Geometry Alignment with Optimal Transport for Generative Dataset Distillation
  Dataset distillation seeks to synthesize a compact distilled dataset, enabling models trained on it to achieve performance comparable to models trained on the full dataset. Recent methods for large-scale datasets focus on matching global distributional statist…
  arxiv Xiao Cui, Yulei Qin, Wengang Zhou, Hongsheng Li 等 2025-11-29T04:04:05Z 置信度 0.78 cs.CV
• AI-Powered Agile Analog Circuit Design and Optimization
  Artificial intelligence (AI) techniques are transforming analog circuit design by automating device-level tuning and enabling system-level co-optimization. This paper integrates two approaches: (1) AI-assisted transistor sizing using Multi-Objective Bayesian O…
  arxiv Jinhai Hu, Wang Ling Goh, Yuan Gao 2025-04-17T05:56:14Z 置信度 0.78 cs.ARcs.AI
• Distributive Fairness in Large Language Models: Evaluating Alignment with Human Values
  The growing interest in employing large language models (LLMs) for decision-making in social and economic contexts has raised questions about their potential to function as agents in these domains. A significant number of societal problems involve the distribu…
  arxiv Hadi Hosseini, Samarth Khanna 2025-02-01T04:24:47Z 置信度 0.78 cs.GTcs.AIcs.CLcs.MA
• Cyber Humanism in Education: Reclaiming Agency through AI and Learning Sciences
  Generative Artificial Intelligence (GenAI) is rapidly reshaping how knowledge is produced and validated in education. Rather than adding another digital tool, large language models reconfigure reading, writing, and coding into hybrid human-AI workflows, raisin…
  arxiv Giovanni Adorni 2025-12-18T16:06:04Z 置信度 0.78 cs.AI
• Multi-Stage Verification-Centric Framework for Mitigating Hallucination in Multi-Modal RAG
  This paper presents the technical solution developed by team CRUISE for the KDD Cup 2025 Meta Comprehensive RAG Benchmark for Multi-modal, Multi-turn (CRAG-MM) challenge. The challenge aims to address a critical limitation of modern Vision Language Models (VLM…
  arxiv Baiyu Chen, Wilson Wongso, Xiaoqian Hu, Yue Tan 等 2025-07-27T05:45:45Z 置信度 0.78 cs.CLcs.AIcs.IR
• The Explanation Necessity for Healthcare AI
  Explainability is a critical factor in enhancing the trustworthiness and acceptance of artificial intelligence (AI) in healthcare, where decisions directly impact patient outcomes. Despite advancements in AI interpretability, clear guidelines on when and to wh…
  arxiv Michail Mamalakis, Héloïse de Vareilles, Graham Murray, Pietro Lio 等 2024-05-31T22:20:10Z 置信度 0.78 cs.AI
• Towards Human-AI Accessibility Mapping in India: VLM-Guided Annotations and POI-Centric Analysis in Chandigarh
  Project Sidewalk is a web-based platform that enables crowdsourcing accessibility of sidewalks at city-scale by virtually walking through city streets using Google Street View. The tool has been used in 40 cities across the world, including the US, Mexico, Chi…
  arxiv Varchita Lalwani, Utkarsh Agarwal, Michael Saugstad, Manish Kumar 等 2026-02-09T21:40:33Z 置信度 0.78 cs.HCcs.CVcs.CY
• Exploring Culturally Informed AI Assistants: A Comparative Study of ChatBlackGPT and ChatGPT
  In recent years, we have seen an influx in reliance on AI assistants for information seeking. Given this widespread use and the known challenges AI poses for Black users, recent efforts have emerged to identify key considerations needed to provide meaningful s…
  arxiv Lisa Egede, Ebtesam Al Haque, Gabriella Thompson, Alicia Boyd 等 2025-04-18T05:50:28Z 置信度 0.78 cs.HC
• Scheming AIs: Will AIs fake alignment during training in order to get power?
  This report examines whether advanced AIs that perform well in training will be doing so in order to gain power later -- a behavior I call "scheming" (also sometimes called "deceptive alignment"). I conclude that scheming is a disturbingly plausible outcome of…
  arxiv Joe Carlsmith 2023-11-14T18:42:40Z 置信度 0.78 cs.CYcs.AIcs.LG
• Generative AI in Heritage Practice: Improving the Accessibility of Heritage Guidance
  This paper discusses the potential for integrating Generative Artificial Intelligence (GenAI) into professional heritage practice with the aim of enhancing the accessibility of public-facing guidance documents. We developed HAZEL, a GenAI chatbot fine-tuned to…
  openalex Jessica Witte, Edmund Lee, Lisa Brausem, Verity Shillabeer 等 2025-12-06 置信度 0.72 ChatbotGenerative grammarCultural heritageComputer scienceRelation (database)
• Architectures and Challenges of AI Multi-Agent Frameworks for Financial Services
  Artificial Intelligence (AI) multi-agent frameworks are enabling autonomous decision-making, intelligent collaboration, and the automation of complex workflows. These frameworks leverage Large Language Models (LLMs) and distributed AI systems to optimize opera…
  openalex Satyadhar Joshi 2025-06-24 置信度 0.72 BusinessFinancial servicesFinance
• Business intelligence usage in the Jordanian banking sector: The role of data literacy, strategic alignment, and change management
  Type of the article: Research ArticleAbstractBusiness intelligence and analytics (BIA) have become an essential tool for improving decision-making and maintaining a competitive edge in the global banking industry. Nevertheless, the extent of adoption varies si…
  openalex Mohammad Mahmoud Saleem Alzubi 2025-12-11 置信度 0.72 OperationalizationBusinessKnowledge managementBusiness intelligenceStructural equation modeling
• Generative AI for misalignment-resistant virtual staining to accelerate histopathology workflows
  Accurate histopathological diagnosis typically relies on multiple chemical stains, a process that is labor-intensive, tissue-consuming, and environmentally taxing. While virtual staining offers a faster, tissue-conserving alternative, its clinical adoption is …
  openalex Jiabo Ma, Wenqiang Li, Jinbang li, Ziyi Liu 等 2026-03-27 置信度 0.72 WorkflowComputer scienceArtificial intelligenceGenerative grammarGenerative model
• From Mind to Machine: The Rise of Manus AI as a Fully Autonomous Digital Agent
  Manus AI is a general-purpose AI agent introduced in early 2025, marking a significant advancement in autonomous artificial intelligence. Developed by the Chinese startup Monica.im, Manus is designed to bridge the gap between "mind" and "hand" - combining the …
  openalex Minjie Shen, Yanshu Li, Lulu Chen, Fan, Zhichao 等 2025-05-04 置信度 0.72 ManusComputer scienceKey (lock)Bridge (graph theory)Artificial intelligence
• AI voice journaling for future language teachers: A path to well‐being through reflective practices
  Abstract This study aimed to explore the perceived impact of using an AI‐powered voice journaling app in overcoming the challenges and stressors encountered by senior students enrolled in teaching practicum at an English Language Teaching Bachelor's programme.…
  openalex Bora Demir, Duygu Özdemir 2025-04-07 置信度 0.72 Journaling file systemPath (computing)PedagogyPsychologyMathematics education
• Pancreas segmentation using AI developed on the largest CT dataset with multi-institutional validation and implications for early cancer detection
  Accurate and fully automated pancreas segmentation is critical for advancing imaging biomarkers in early pancreatic cancer detection and for biomarker discovery in endocrine and exocrine pancreatic diseases. We developed and evaluated a deep learning (DL)-base…
  openalex Sovanlal Mukherjee, Ajith Antony, Nandakumar G. Patnam, Kamaxi H. Trivedi 等 2025-05-16 置信度 0.72 SegmentationCancerComputer sciencePancreasArtificial intelligence
• Leveraging Cloud-based ai and zero trust architecture to enhance U. S. cybersecurity and counteract foreign threats
  The increasing sophistication of cyber threats targeting U.S. national security, critical infrastructure, and financial systems necessitates a proactive, AI-driven cybersecurity strategy. Traditional security models relying on perimeter-based defenses are insu…
  openalex Ikeoluwa Kolawole 2025-03-04 置信度 0.72 Cloud computingComputer securityArchitectureComputer scienceInternet privacy
• One fish, two fish, but not the whole sea: Alignment reduces language models’ conceptual diversity
  Sonia Krishna Murthy, Tomer Ullman, Jennifer Hu. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). 2025.
  openalex Sonia K. Murthy, Tomer Ullman, Jennifer Hu 2025-01-01 置信度 0.72 Fish <Actinopterygii>Diversity (politics)Computer scienceFisheryBiology
• BJET Editorial Spring 2025: Reporting on AIED research and ethical considerations
  We are pleased to share our updates for 2025. The continuing growth and success of BJET, together with changes in our editorial team, have meant that our activities in the last few months have focused on dealing with increasing submissions and bringing new col…
  openalex Manolis Mavrikis, Cathy Lewin, Mutlu Cukurova, Louis Major 等 2025-03-12 置信度 0.72 Spring (device)PsychologyEngineeringMechanical engineering
• A five-Step AI-Information problem solving (AI-IPS) model for critical, ethical, and responsible usage
  The rapid advancement of generative artificial intelligence (AI) has fundamentally reshaped information problem-solving (IPS), creating a need for new frameworks in academic and professional contexts. This study proposes AI-IPS by analyzing scaffolded interact…
  openalex Xinyan Zhou, Guangxiang Liu, Thomas K.F. Chiu 2026-02-24 置信度 0.72 Computer scienceHuman–computer interactionManagement scienceMathematics educationEducational technology
• How Can We Know if You are Serious? Ethics Washing, Symbolic Ethics Offices, and the Responsible Design of AI Systems
  Abstract Many AI development organizations advertise that they have offices of ethics that facilitate ethical AI. However, concerns have been raised that these offices are merely symbolic and do not actually promote ethics. We address the question of how we ca…
  openalex Justin B. Biddle, John P. Nelson, Olajide Olugbade 2024-05-01 置信度 0.72 PhilosophyEpistemologySociologyEngineering ethicsEnvironmental ethics
• Transforming Cloud Computing Education: Leveraging AI and Data Science for Enhanced Access and Collaboration in Academic Environments
  Cloud computing has emerged as a cornerstone of modern digital infrastructure, significantly influencing how educational institutions deliver content, manage resources, and foster collaboration. However, despite its potential, barriers such as unequal access, …
  openalex Favour Uche Ojika, Wilfred Oseremen Owobu, Olumese Anthony Abieba, Oluwafunmilayo Janet Esan 等 2023-01-01 置信度 0.72 Cloud computingComputer scienceData scienceData accessScience education
• Generative AI as a Teaching Tool for Social Research Methodology: Addressing Challenges in Higher Education
  Teaching social research methodology in university courses, whether qualitative or quantitative, presents significant challenges for both instructors and students. These challenges include the availability of empirical datasets, the illustration of data analys…
  openalex Laura Arosio 2025-06-05 置信度 0.72 Generative grammarComputer scienceManagement scienceSociologyArtificial intelligence
• AI and Machine Learning in Biology: From Genes to Proteins
  Artificial Intelligence (AI) and Machine Learning (ML), especially deep learning, have revolutionized genomics and protein structure prediction, advancing precision medicine and drug discovery. This review focuses on the most widely used AI and ML algorithms i…
  openalex Zaw Myo Hein, Dhanyashri Guruparan, Blaire Okunsai, Che Mohd Nasril Che Mohd Nassir 等 2025-08-27 置信度 0.72 InterpretabilityArtificial intelligenceDeep learningComputer scienceMachine learning
• The FAIIR conversational AI agent assistant for youth mental health service provision
  Frontline crisis support plays a critical role in youth mental health services, where Crisis Responders (CRs) engage in conversations and assign issue tags to guide interventions. To enhance this process, we introduce FAIIR (Frontline Assistant: Issue Identifi…
  openalex Stephen Obadinma, Alia Lachana, Maia Norman, Jocelyn A. Rankin 等 2025-05-03 置信度 0.72 Mental healthService (business)PsychologyMental health serviceApplied psychology
• AI-Enabled Customised Workflows for Smarter Supply Chain Optimisation: A Feasibility Study
  This study investigates the integration of Large Language Models (LLMs) into supply chain workflow automation, with a focus on their technical, operational, financial, and socio-technical implications. Building on Dynamic Capabilities Theory and Socio-Technica…
  openalex Vahid Javidroozi, Abdel‐Rahman H. Tawil, R. Muhammad Atif Azad, B. E. Bishop 等 2025-08-27 置信度 0.72 WorkflowSupply chainProcess managementSupply chain managementSoftware deployment