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• Resources for Entrepreneurs in AI—Your Toolkit for Thriving in the AI-Infused Future
  Abstract In an era where Artificial Intelligence (AI) is rapidly reshaping industries, entrepreneurs must equip themselves with the right tools, knowledge, and networks to navigate this transformation effectively. This chapter provides a comprehensive resource…
  crossref Hussein A. Dawood 2025-11-20T13:25:20Z 置信度 0.70
• Fiction writing workshops to explore staff perceptions of artificial intelligence (AI) in higher education
  Abstract This study explores perceptions of artificial intelligence (AI) in the higher education workplace through innovative use of fiction writing workshops. Twenty-three participants took part in three workshops, imagining the application of AI assistants a…
  openalex Neil Dixon, Andrew Cox 2025-01-06 置信度 0.72 PerceptionTask (project management)DelegationPsychologyValue (mathematics)
• Troubleshooting Common Problems
  Sarah stared at her screen in disbelief. After spending an hour crafting the perfect business plan with Claude, her browser crashed. Everything is gone. Marcus hit a different wall—Claude kept insisting it couldn't help with his completely legitimate marketing…
  crossref Ryan Dickey 2025-11-15T05:35:08Z 置信度 0.70
• Assess IT Governance Issues
  Bill Gates : 1 “Information technology and business are becoming inextricably interwoven. I don't think anybody can talk meaningfully about one without talking about the other.”
  crossref John Kyriazoglou 2025-08-01T08:20:08Z 置信度 0.70
• Conceptual Foundations of Coaching
  crossref Harald Geißler 2025-10-14T04:36:43Z 置信度 0.70
• Combining partial order alignment and progressive multiple sequence alignment increases alignment speed and scalability to very large alignment problems
  Abstract Motivation: Partial order alignment (POA) has been proposed as a new approach to multiple sequence alignment (MSA), which can be combined with existing methods such as progressive alignment. This is important for addressing problems both in the origin…
  crossref Catherine Grasso, Christopher Lee 2004-03-02T21:41:06Z 置信度 0.70
• AI in Education: Principles And Emerging Horizons
  crossref 2025-09-27T06:11:22Z 置信度 0.70
• Core Competencies in Practice: Exploring Catalogers’ Alignment with Professional Standards
  The purpose of this article is to report on a recent study that explores how well the self-assessed knowledge and skills of cataloging and metadata librarians correlate with the knowledge and skills described in the Core Competencies for Cataloging and Metadat…
  crossref 2025-10-06T16:06:50Z 置信度 0.70
• Optimized orthogonal transformed CKF and its application in initial alignment
  Abstract The paper first analyzes the impact of nonlocal sampling problem on the high order estimation errors of sigma point filter. Then, we introduce that how TCKF reduces the impact of nonlocal sampling on filtering by introducing orthogonal matrices to sig…
  crossref Wei Wang 2024-12-19T22:53:58Z 置信度 0.70
• Is Indonesia Sleepwalking into Strategic Alignment with China?
  Chinese President Xi Jinping and Indonesian President Prabowo Subianto’s recent joint statement indicated that Indonesia supported China’s maximalist position on Taiwan and Xi’s global initiatives, and that it was a broadly cooperative maritime neighbour. It w…
  crossref Evan A. Laksmana 2025-02-07T12:44:02Z 置信度 0.70
• Ongoing AI Concerns
  crossref John J. Trinckes 2025-11-14T14:15:43Z 置信度 0.70
• Contesting AI Futures: Social Movements and the Solarpunk AI Imaginary
  In recent years, the Italian government has intensified its investments in Artificial Intelligence (AI), exemplified by the development of national large language models and the utilization of the Leonardo supercomputer. Alongside these state-led initiatives, …
  crossref Luigia Tricase, Alice Mattoni 2025-11-04T20:18:07Z 置信度 0.70
• AI Marketing
  crossref Hamed Taherdoost, Mitra Madanchian 2025-08-28T16:00:11Z 置信度 0.70
• Reconceptualising Business-IT Alignment For Enabling Organisational Agility
  <p dir="ltr">Organisations increasingly strive to increase their ability to proactively sense and respond to market opportunities and threats to remain competitive by embracing organisational agility. As doing so often blurs traditional boundaries betwee…
  crossref Bettina Horlach, Paul Drews, Andreas Drechsler, Ingrid Schirmer 等 2020-10-14T02:38:39Z 置信度 0.70
• Cognitive Constraints in Structural Alignment
  crossref Janet Bourne 2025-06-03T20:40:37Z 置信度 0.70
• Cross-Alignment for Efficient Visual Object Tracking
  crossref Shilei Wang, mingjiang liang, shaoli Huang, Jifeng Ning 等 2025-02-12T11:42:32Z 置信度 0.70
• Investigating text-guided cross-region feature alignment for multimodal disease localization in Chest X-Ray images
  Deep learning-based object detection techniques have been extensively applied to lung-and chest-related healthcare applications. Recent advances in text-guided object detection techniques have led to substantial performance improvements over image-based detect…
  crossref Sourya Potti 2025-08-21T18:44:52Z 置信度 0.70
• Decision letter for "Motive-Alignment Promotes Adolescents’ Pro-Environmental Behavior: A Field Experiment in Two Cultures"
  crossref 2026-05-11T21:09:53Z 置信度 0.70
• The General Constraining Arguments of Artificial General Intelligence and the Prospects of Robust Alignment
  A discourse on the current state and possible scenarios of the development of artificial intelligent systems toward the level and abilities of general intelligence has been ongoing actively. One of the areas that has drawn attention from researchers is the pos…
  crossref Serge Dolgikh 2025-01-21T07:00:22Z 置信度 0.70
• The Future of Strategic Management: AI and Beyond
  This chapter explores the implications of Artificial Intelligence (AI) for strategic management, drawing on case studies, empirical research, and industry examples to illustrate the transformative role of AI across various organizational functions. The finding…
  crossref Esther Asiedu 2025-11-14T04:44:41Z 置信度 0.70
• Data Privacy in Enterprise AI
  crossref Neil G. Marchant, Ying Zhao, Benjamin I. P. Rubinstein, Olga Ohrimenko 2025-11-15T18:20:54Z 置信度 0.70
• Generative AI, Learning, Buddhism and Nietzsche: Developing a Philosophical Approach
  In this conceptual article, I investigate the philosophical intersections between generative AI technologies in education and Buddhist thought, offering a framework for navigating AI's transformative impact on learning. As generative AI simultaneously disrupts…
  crossref Edwin Creely 2025-09-24T16:35:41Z 置信度 0.70
• The AI Product Playbook
  A comprehensive guide for aspiring and current AI product managers The AI Product Playbook: Strategies, Skills, and Frameworks for the AI-Driven Product Manager, by Dr. Marily Nika and Diego Granados, is a practical resource designed to empower product manager…
  crossref Marily Nika, Diego Granados 2025-10-03T21:17:10Z 置信度 0.70
• AI-Powered Software Reliability Engineering and its Application
  Software reliability engineering has been widely used in engineering projects since it was put forward and has played an important role in improving software reliability. However, as the scale of software becomes larger and the architecture becomes more and mo…
  crossref Jun Ai 2025-06-09T17:32:59Z 置信度 0.70
• Embedding Ethics into Medical AI
  Machine intelligence is being employed for an increasing number of tasks in the healthcare sector. The more encompassing these tasks are becoming, the likelier it will be that, besides working with empirical data, algorithms are also coming into contact with n…
  crossref Lukas J. Meier 2025-06-23T10:18:23Z 置信度 0.70
• What a Feminist AI Looks Like
  Abstract This article draws on the emerging theoretical framework of feminist digital constitutionalism to propose developing a feminist AI system to support the enforcement of Brazil’s Political Gender Violence Act, which criminalizes violence against women i…
  crossref Carolina Gomide de Araujo 2025-08-26T15:32:48Z 置信度 0.70
• Towards a Feminist Decolonial Governance of AI
  Abstract This article critically examines current approaches to artificial intelligence governance through the lens of epistemic justice, revealing their significant limitations in addressing the complex challenges posed by AI systems. Analyzing principle-base…
  crossref Lucía Mesa-Vélez 2025-03-19T09:28:26Z 置信度 0.70
• AI <i>Seinfeld</i> , AI sitcom, AI television: <i>Nothing, Forever</i> , or adaptation in the age of AI
  Abstract The streaming sitcom Nothing, Forever features four pixelated animated characters performing ChatGPT-generated scripts 24 hours a day in an endless, automated flow. Contributing to adaptation theory, television studies, and critical AI studies, this a…
  crossref Reto Winckler 2026-02-26T12:44:09Z 置信度 0.70
• Edu-EmotionNet: Cross-Modality Attention Alignment with Temporal Feedback Loops
  Understanding learner emotions in online education is critical for improving engagement and personalized instruction. While prior work in emotion recognition has explored multimodal fusion and temporal modeling, existing methods often rely on static fusion str…
  crossref S M Rafiuddin 2026-04-07T19:54:58Z 置信度 0.70
• Video-Text Alignment Learning with Semantic Element Consistency
  Building effective semantic consistency feature space is important in vision-language alignment learning. To do this cross-modal task, previous works train coarse-grained internetscale data and design complicated embedding feature-cross networks. These methods…
  crossref Xinyan Yang, Ying Ma, Shaofei Liu, Aiqi Wang 等 2025-02-27T00:09:21Z 置信度 0.70
• Half title
  crossref 2025-08-01T10:04:23Z 置信度 0.70
• Multimodal AI can teach you the word, but can it teach you the world?
  crossref Peiling Xing, Yiqian Cao 2025-04-09T23:06:16Z 置信度 0.70
• 2025 Conference on AI x Software Engineering (AIxSE)
  crossref 2026-04-21T19:48:02Z 置信度 0.70
• AI Horizons – Exploring Multidisciplinary Frontiers (Volume 4)
  The rapid evolution of artificial intelligence (AI) has transformed the landscape of innovation across disciplines, unlocking new possibilities and reshaping the way we approach complex challenges. With great pride, we present AI Horizons – Exploring Multidisc…
  crossref 2025-03-04T14:21:17Z 置信度 0.70
• Comparison of Patellar Tracking Following Kinematic Alignment Versus Mechanical Alignment Total Knee Arthroplasty via the Mini‐Subvastus Approach
  ABSTRACT Objectives Different alignment strategies (kinematic alignment [KA] versus mechanical alignment [MA]) during total knee arthroplasty (TKA) significantly influence postoperative patellar tracking. This study aimed to compare radiological parameters of …
  crossref Bochen Sun, Yiyang Xu, Guiguan Wang, Long Chen 等 2025-03-10T12:54:44Z 置信度 0.70
• AI and Creative Writing
  crossref 2026-01-02T00:08:19Z 置信度 0.70
• Teaching AI to Memorize Conversations
  Memory, as the meaningful registration of past events, is an intrinsic part of human intelligence. In this chapter, I explore how to incorporate memory into large language models (LLMs), emphasizing how a memory component can enrich conversation analysis. I fu…
  crossref Yair Neuman 2025-02-04T22:20:46Z 置信度 0.70
• Reply to ensuring trustworthy AI assisted guideline development for clinical practice.
  In this Reply, we respond to the Matters Arising by Zhang and Fu regarding the trustworthiness of AI-assisted clinical guideline development, using Quicker as a case study. We clarify which safeguards for transparency, traceability, and uncertainty handling ar…
  europepmc 2026 置信度 0.80
• Artificial Intelligence Methods in Early Detection of Autism Spectrum Disorder: A DSM-5 Criterion-Based Systematic Review.
  Can Artificial Intelligence (AI) revolutionize early detection of Autism Spectrum Disorder (ASD) by offering a more objective alternative to the subjective behavioral assessments? This systematic review evaluates AI-based methods for early ASD detection in chi…
  europepmc 2026 置信度 0.80
• Global research trends in artificial intelligence-integrated robot-assisted spine surgery: a bibliometric and visualized analysis.
  This study aims to employ bibliometric analysis methods to systematically review the current research progress, developmental trajectory, and emerging research hotspots in artificial intelligence-integrated robot-assisted spine surgery (AI-RASS), thereby provi…
  europepmc 2026 置信度 0.80
• Translation readiness of model-based synthetic tabular data in healthcare: a systematic review and governance audit.
  Objectives To evaluate the clinical applications and translation readiness of model-based synthetic tabular data in healthcare, and identify gaps in governance reporting that may hinder translation. Materials and methods We systematically searched Ovid MEDLINE…
  europepmc 2026 置信度 0.80
• Human-centered AI in healthcare teams: integrating clinical oversight, EHR auditability, and reimbursement pathways for responsible adoption.
  Background AI is being introduced into clinical workforces during a critical transition toward integrated, value-based models of care, where its greatest promise lies in augmenting clinician judgment and expanding the reach of already strained healthcare teams…
  europepmc 2026 置信度 0.80
• Med-Bot: An AI-Powered Assistant to Provide Accurate and Reliable Medical Information
  This paper introduces Med-Bot, an AI-powered chatbot designed to provide users with accurate and reliable medical information. Utilizing advanced libraries and frameworks such as PyTorch, Chromadb, Langchain and Autogptq, Med-Bot is built to handle the complex…
  arxiv Ahan Bhatt, Nandan Vaghela 2024-11-14T18:17:30Z 置信度 0.78 cs.AIcs.LGcs.NE
• Music Arena: Live Evaluation for Text-to-Music
  We present Music Arena, an open platform for scalable human preference evaluation of text-to-music (TTM) models. Soliciting human preferences via listening studies is the gold standard for evaluation in TTM, but these studies are expensive to conduct and diffi…
  arxiv Yonghyun Kim, Wayne Chi, Anastasios N. Angelopoulos, Wei-Lin Chiang 等 2025-07-28T14:52:57Z 置信度 0.78 cs.SDcs.AIcs.MM
• A Novel Image Similarity Metric for Scene Composition Structure
  The rapid advancement of generative AI models necessitates novel methods for evaluating image quality that extend beyond human perception. A critical concern for these models is the preservation of an image's underlying Scene Composition Structure (SCS), which…
  arxiv Md Redwanul Haque, Manzur Murshed, Manoranjan Paul, Tsz-Kwan Lee 2025-08-07T05:29:21Z 置信度 0.78 cs.CVcs.IT
• GenAITEd Ghana: A First-of-Its-Kind Context-Aware and Curriculum-Aligned Conversational AI Agent for Teacher Education
  Global frameworks increasingly advocate for Responsible Artificial Intelligence (AI) in education, yet they provide limited guidance on how ethical, culturally responsive, and curriculum-aligned AI can be operationalized within functioning teacher education sy…
  arxiv Matthew Nyaaba, Patrick Kyeremeh, Macharious Nabang, Bismark Nyaaba Akanzire 等 2025-12-31T20:24:38Z 置信度 0.78 cs.CYcs.AI
• When Researchers Say Mental Model/Theory of Mind of AI, What Are They Really Talking About?
  When researchers claim AI systems possess ToM or mental models, they are fundamentally discussing behavioral predictions and bias corrections rather than genuine mental states. This position paper argues that the current discourse conflates sophisticated patte…
  arxiv Xiaoyun Yin, Elmira Zahmat Doost, Shiwen Zhou, Garima Arya Yadav 等 2025-10-03T01:37:32Z 置信度 0.78 cs.HCcs.AI
• PAC Apprenticeship Learning with Bayesian Active Inverse Reinforcement Learning
  As AI systems become increasingly autonomous, reliably aligning their decision-making with human preferences is essential. Inverse reinforcement learning (IRL) offers a promising approach to infer preferences from demonstrations. These preferences can then be …
  arxiv Ondrej Bajgar, Dewi S. W. Gould, Jonathon Liu, Alessandro Abate 等 2025-08-05T17:59:56Z 置信度 0.78 cs.LG
• Boundaried Kernelization via Representative Sets
  A kernelization is an efficient algorithm that given an instance of a parameterized problem returns an equivalent instance of size bounded by some function of the input parameter value. It is quite well understood which problems do or (conditionally) do not ad…
  arxiv Leonid Antipov, Stefan Kratsch 2025-10-01T12:45:31Z 置信度 0.78 cs.DS
• Sparks of Artificial General Intelligence(AGI) in Semiconductor Material Science: Early Explorations into the Next Frontier of Generative AI-Assisted Electron Micrograph Analysis
  Characterizing materials with electron micrographs poses significant challenges for automated labeling due to the complex nature of nanomaterial structures. To address this, we introduce a fully automated, end-to-end pipeline that leverages recent advances in …
  arxiv Sakhinana Sagar Srinivas, Geethan Sannidhi, Sreeja Gangasani, Chidaksh Ravuru 等 2024-09-17T04:25:27Z 置信度 0.78 cs.CVcs.AIcs.LG
• Optimizing Vision-Language Consistency via Cross-Layer Regional Attention Alignment
  Vision Language Models (VLMs) face challenges in effectively coordinating diverse attention mechanisms for cross-modal embedding learning, leading to mismatched attention and suboptimal performance. We propose Consistent Cross-layer Regional Alignment (CCRA), …
  arxiv Yifan Wang, Hongfeng Ai, Quangao Liu, Maowei Jiang 等 2025-07-31T17:14:55Z 置信度 0.78 cs.CV
• An Alignment Between the CRA's Essential Requirements and the ATT&amp;CK's Mitigations
  The paper presents an alignment evaluation between the mitigations present in the MITRE's ATT&amp;CK framework and the essential cyber security requirements of the recently introduced Cyber Resilience Act (CRA) in the European Union. In overall, the two align …
  arxiv Jukka Ruohonen, Eun-Young Kang, Qusai Ramadan 2025-05-19T18:29:00Z 置信度 0.78 cs.CRcs.SE
• Comparable Corpora: Opportunities for New Research Directions
  Most conference papers present new results, but this paper will focus more on opportunities for the audience to make their own contributions. This paper is intended to challenge the community to think more broadly about what we can do with comparable corpora. …
  arxiv Kenneth Church 2025-01-24T18:54:11Z 置信度 0.78 cs.CL
• To Use or to Refuse? Re-Centering Student Agency with Generative AI in Engineering Design Education
  This pilot study traces students' reflections on the use of AI in a 13-week foundational design course enrolling over 500 first-year engineering and architecture students at the Singapore University of Technology and Design. The course was an AI-enhanced desig…
  arxiv Thijs Willems, Sumbul Khan, Qian Huang, Bradley Camburn 等 2025-10-22T08:06:48Z 置信度 0.78 cs.CYcs.AI
• Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach
  Ranking is at the core of many artificial intelligence (AI) applications, including search engines, recommender systems, etc. Modern ranking systems are often constructed with learning-to-rank (LTR) models built from user behavior signals. While previous studi…
  arxiv Tao Yang, Cuize Han, Chen Luo, Parth Gupta 等 2023-05-26T03:46:41Z 置信度 0.78 cs.IR
• Diagnosing the Impact of AI on Radiology in China
  Artificial Intelligence will significantly impact the work environment of radiologists. I suggest that up to 50% of a radiologists work in 2021 will be performed by AI-models in 2025. However, it won't increase beyond that 50% level, as radiologists remain key…
  arxiv Niklas Muennighoff 2021-06-15T07:18:07Z 置信度 0.78 cs.AI
• The More You Automate, the Less You See: Hidden Pitfalls of AI Scientist Systems
  AI scientist systems, capable of autonomously executing the full research workflow from hypothesis generation and experimentation to paper writing, hold significant potential for accelerating scientific discovery. However, the internal workflow of these system…
  arxiv Ziming Luo, Atoosa Kasirzadeh, Nihar B. Shah 2025-09-10T16:04:24Z 置信度 0.78 cs.AIcs.DL
• When AI Gets Persuaded, Humans Follow: Inducing the Conformity Effect in Persuasive Dialogue
  Recent advancements in AI have highlighted its application in captology, the field of using computers as persuasive technologies. We hypothesized that the "conformity effect," where individuals align with others' actions, also occurs with AI agents. This study…
  arxiv Rikuo Sasaki, Michimasa Inaba 2025-10-05T14:37:46Z 置信度 0.78 cs.HCcs.AI
• Decoupled Global-Local Alignment for Improving Compositional Understanding
  Contrastive Language-Image Pre-training (CLIP) has achieved success on multiple downstream tasks by aligning image and text modalities. However, the nature of global contrastive learning limits CLIP's ability to comprehend compositional concepts, such as relat…
  arxiv Xiaoxing Hu, Kaicheng Yang, Jun Wang, Haoran Xu 等 2025-04-23T15:20:53Z 置信度 0.78 cs.CV
• Who Gets Seen in the Age of AI? Adoption Patterns of Large Language Models in Scholarly Writing and Citation Outcomes
  The rapid adoption of generative AI tools is reshaping how scholars produce and communicate knowledge, raising questions about who benefits and who is left behind. We analyze over 230,000 Scopus-indexed computer science articles between 2021 and 2025 to examin…
  arxiv Farhan Kamrul Khan, Hazem Ibrahim, Nouar Aldahoul, Talal Rahwan 等 2025-09-10T06:05:34Z 置信度 0.78 cs.CY
• Parallel Scan on Ascend AI Accelerators
  We design and implement parallel prefix sum (scan) algorithms using Ascend AI accelerators. Ascend accelerators feature specialized computing units: the cube units for efficient matrix multiplication and the vector units for optimized vector operations. A key …
  arxiv Bartłomiej Wróblewski, Gioele Gottardo, Anastasios Zouzias 2025-05-21T05:06:26Z 置信度 0.78 cs.DCcs.DS
• Understanding the Modality Gap: An Empirical Study on the Speech-Text Alignment Mechanism of Large Speech Language Models
  End-to-end Large Speech Language Models (LSLMs) have demonstrated impressive conversational generation abilities, yet consistently fall short of traditional pipeline systems on semantic understanding benchmarks. In this work, we reveal through systematic exper…
  arxiv Bajian Xiang, Shuaijiang Zhao, Tingwei Guo, Wei Zou 2025-10-14T03:34:38Z 置信度 0.78 cs.CLcs.AI
• PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data
  Personalization is critical in AI assistants, particularly in the context of private AI models that work with individual users. A key scenario in this domain involves enabling AI models to access and interpret a user's private data (e.g., conversation history,…
  arxiv Juntao Tan, Liangwei Yang, Zuxin Liu, Zhiwei Liu 等 2025-02-28T00:43:35Z 置信度 0.78 cs.AI
• A Survey on Web Testing: On the Rise of AI and Applications in Industry
  Web application testing is an essential practice to ensure the reliability, security, and performance of web systems in an increasingly digital world. This paper presents a systematic literature survey focusing on web testing methodologies, tools, and trends f…
  arxiv Iva Kertusha, Gebremariem Assress, Onur Duman, Andrea Arcuri 2025-03-07T12:39:59Z 置信度 0.78 cs.SE
• Eye Gaze as a Signal for Conveying User Attention in Contextual AI Systems
  Advanced multimodal AI agents can now collaborate with users to solve challenges in the world. Yet, these emerging contextual AI systems rely on explicit communication channels between the user and system. We hypothesize that implicit communication of the user…
  arxiv Ethan Wilson, Naveen Sendhilnathan, Charlie S. Burlingham, Yusuf Mansour 等 2025-01-23T17:51:54Z 置信度 0.78 cs.HCcs.CV
• Operand Quant: A Single-Agent Architecture for Autonomous Machine Learning Engineering
  We present Operand Quant, a single-agent, IDE-based architecture for autonomous machine learning engineering (MLE). Operand Quant departs from conventional multi-agent orchestration frameworks by consolidating all MLE lifecycle stages -- exploration, modeling,…
  arxiv Arjun Sahney, Ram Gorthi, Cezary Łastowski, Javier Vega 2025-10-13T17:54:02Z 置信度 0.78 cs.AI
• Quadratic Kernel for Cliques or Trees Vertex Deletion
  We consider \textsc{Cliques or Trees Vertex Deletion}, which is a hybrid of two fundamental parameterized problems: \textsc{Cluster Vertex Deletion} and \textsc{Feedback Vertex Set}. In this problem, we are given an undirected graph $G$ and an integer $k$, and…
  arxiv Soh Kumabe 2025-09-20T21:33:24Z 置信度 0.78 cs.DS
• THERMOS: Thermally-Aware Multi-Objective Scheduling of AI Workloads on Heterogeneous Multi-Chiplet PIM Architectures
  Chiplet-based integration enables large-scale systems that combine diverse technologies, enabling higher yield, lower costs, and scalability, making them well-suited to AI workloads. Processing-in-Memory (PIM) has emerged as a promising solution for AI inferen…
  arxiv Alish Kanani, Lukas Pfromm, Harsh Sharma, Janardhan Rao Doppa 等 2025-08-14T14:35:54Z 置信度 0.78 cs.AR
• Large-Scale Training Data Attribution for Music Generative Models via Unlearning
  This paper explores the use of unlearning methods for training data attribution (TDA) in music generative models trained on large-scale datasets. TDA aims to identify which specific training data points contributed the most to the generation of a particular ou…
  arxiv Woosung Choi, Junghyun Koo, Kin Wai Cheuk, Joan Serrà 等 2025-06-23T05:58:43Z 置信度 0.78 cs.SDeess.AS
• Addressing Intersectionality, Explainability, and Ethics in AI-Driven Diagnostics: A Rebuttal and Call for Transdiciplinary Action
  The increasing integration of artificial intelligence (AI) into medical diagnostics necessitates a critical examination of its ethical and practical implications. While the prioritization of diagnostic accuracy, as advocated by Sabuncu et al. (2025), is essent…
  arxiv Myles Joshua Toledo Tan, Panayiotis V. Benos 2025-01-15T00:00:01Z 置信度 0.78 cs.CY
• Thoughtful, Confused, or Untrustworthy: How Text Presentation Influences Perceptions of AI Writing Tools
  AI writing tools have been shown to dramatically change the way people write, yet the effects of AI text presentation are not well understood nor always intentionally designed. Although text presentation in existing large language model interfaces is linked to…
  arxiv David Zhou, John R. Gallagher, Sarah Sterman 2025-04-29T02:06:00Z 置信度 0.78 cs.HC
• Alignment of large language models with constrained learning
  We study the problem of computing an optimal large language model (LLM) policy for the constrained alignment problem, where the goal is to maximize a primary reward objective while satisfying constraints on secondary utilities. Despite the popularity of Lagran…
  arxiv Botong Zhang, Shuo Li, Ignacio Hounie, Osbert Bastani 等 2025-05-26T01:04:56Z 置信度 0.78 cs.LGeess.SYmath.OC
• Diffusion-Driven Semantic Communication for Generative Models with Bandwidth Constraints
  Diffusion models have been extensively utilized in AI-generated content (AIGC) in recent years, thanks to the superior generation capabilities. Combining with semantic communications, diffusion models are used for tasks such as denoising, data reconstruction, …
  arxiv Lei Guo, Wei Chen, Yuxuan Sun, Bo Ai 等 2024-07-26T02:34:25Z 置信度 0.78 cs.LGcs.AI
• Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment
  Contemporary image generation systems have achieved high fidelity and superior aesthetic quality beyond basic text-image alignment. However, existing evaluation frameworks have failed to evolve in parallel. This study reveals that human preference reward model…
  arxiv Ying Ba, Tianyu Zhang, Yalong Bai, Wenyi Mo 等 2025-07-25T07:01:50Z 置信度 0.78 cs.CV
• Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation
  The proposed European Artificial Intelligence Act (AIA) is the first attempt to elaborate a general legal framework for AI carried out by any major global economy. As such, the AIA is likely to become a point of reference in the larger discourse on how AI syst…
  arxiv Jakob Mokander, Maria Axente, Federico Casolari, Luciano Floridi 2021-11-09T11:59:47Z 置信度 0.78 cs.CYcs.AI
• Mind the Value-Action Gap: Do LLMs Act in Alignment with Their Values?
  Existing research primarily evaluates the values of LLMs by examining their stated inclinations towards specific values. However, the "Value-Action Gap," a phenomenon rooted in environmental and social psychology, reveals discrepancies between individuals' sta…
  arxiv Hua Shen, Nicholas Clark, Tanushree Mitra 2025-01-26T09:33:51Z 置信度 0.78 cs.HCcs.AIcs.CL
• "Till I can get my satisfaction": Open Questions in the Public Desire to Punish AI
  There are countless examples of how AI can cause harm, and increasing evidence that the public are willing to ascribe blame to the AI itself, regardless of how "illogical" this might seem. This raises the question of whether and how the public might expect AI …
  arxiv Eddie L. Ungless, Zachary Horne, Björn Ross 2025-03-05T10:59:21Z 置信度 0.78 cs.HCcs.CY
• Bias is a Math Problem, AI Bias is a Technical Problem: 10-year Literature Review of AI/LLM Bias Research Reveals Narrow [Gender-Centric] Conceptions of 'Bias', and Academia-Industry Gap
  The rapid development of AI tools and implementation of LLMs within downstream tasks has been paralleled by a surge in research exploring how the outputs of such AI/LLM systems embed biases, a research topic which was already being extensively explored before …
  arxiv Sourojit Ghosh, Kyra Wilson 2025-08-14T20:53:33Z 置信度 0.78 cs.CY
• Replay4NCL: An Efficient Memory Replay-based Methodology for Neuromorphic Continual Learning in Embedded AI Systems
  Neuromorphic Continual Learning (NCL) paradigm leverages Spiking Neural Networks (SNNs) to enable continual learning (CL) capabilities for AI systems to adapt to dynamically changing environments. Currently, the state-of-the-art employ a memory replay-based me…
  arxiv Mishal Fatima Minhas, Rachmad Vidya Wicaksana Putra, Falah Awwad, Osman Hasan 等 2025-03-21T11:33:22Z 置信度 0.78 cs.NEcs.AIcs.LG
• A Survey of Neural Network Robustness Assessment in Image Recognition
  In recent years, there has been significant attention given to the robustness assessment of neural networks. Robustness plays a critical role in ensuring reliable operation of artificial intelligence (AI) systems in complex and uncertain environments. Deep lea…
  arxiv Jie Wang, Jun Ai, Minyan Lu, Haoran Su 等 2024-04-12T07:19:16Z 置信度 0.78 cs.CVcs.AIeess.SY
• Can AI mediation improve democratic deliberation?
  The strength of democracy lies in the free and equal exchange of diverse viewpoints. Living up to this ideal at scale faces inherent tensions: broad participation, meaningful deliberation, and political equality often trade off with one another (Fishkin, 2011)…
  arxiv Michael Henry Tessler, Georgina Evans, Michiel A. Bakker, Iason Gabriel 等 2026-01-09T16:22:26Z 置信度 0.78 cs.CYcs.AI
• Supporting Creative Ownership through Deep Learning-Based Music Variation
  This paper investigates the importance of personal ownership in musical AI design, examining how practising musicians can maintain creative control over the compositional process. Through a four-week ecological evaluation, we examined how a music variation too…
  arxiv Stephen James Krol, Maria Teresa Llano, Jon McCormack 2025-09-30T06:18:36Z 置信度 0.78 cs.HCcs.AI
• Artificial intelligence enabled radio propagation for communications-Part I: Channel characterization and antenna-channel optimization
  To provide higher data rates, as well as better coverage, cost efficiency, security, adaptability, and scalability, the 5G and beyond 5G networks are developed with various artificial intelligence techniques. In this two-part paper, we investigate the applicat…
  arxiv Chen Huang, Ruisi He, Bo Ai, Andreas F. Molisch 等 2021-11-24T02:12:19Z 置信度 0.78 eess.SP
• NOVA3D: Normal Aligned Video Diffusion Model for Single Image to 3D Generation
  3D AI-generated content (AIGC) has made it increasingly accessible for anyone to become a 3D content creator. While recent methods leverage Score Distillation Sampling to distill 3D objects from pretrained image diffusion models, they often suffer from inadequ…
  arxiv Yuxiao Yang, Peihao Li, Yuhong Zhang, Junzhe Lu 等 2025-06-09T12:37:46Z 置信度 0.78 cs.CVcs.AI
• Automating AI Failure Tracking: Semantic Association of Reports in AI Incident Database
  Artificial Intelligence (AI) systems are transforming critical sectors such as healthcare, finance, and transportation, enhancing operational efficiency and decision-making processes. However, their deployment in high-stakes domains has exposed vulnerabilities…
  arxiv Diego Russo, Gian Marco Orlando, Valerio La Gatta, Vincenzo Moscato 2025-07-31T15:48:12Z 置信度 0.78 cs.CYcs.AIcs.IR
• Curate, Connect, Inquire: A System for Findable Accessible Interoperable and Reusable (FAIR) Human-Robot Centered Datasets
  The rapid growth of AI in robotics has amplified the need for high-quality, reusable datasets, particularly in human-robot interaction (HRI) and AI-embedded robotics. While more robotics datasets are being created, the landscape of open data in the field is un…
  arxiv Xingru Zhou, Sadanand Modak, Yao-Cheng Chan, Zhiyun Deng 等 2025-05-30T20:48:32Z 置信度 0.78 cs.IRcs.HCcs.RO
• AIRA: AI-Induced Risk Audit: A Structured Inspection Framework for AI-Generated Code
  Practitioners have reported a directional pattern in AI-assisted code generation: AI-generated code tends to fail quietly, preserving the appearance of functionality while degrading or concealing guarantees. This paper introduces the Reward-Shaped Failure Hypo…
  arxiv William M. Parris 2026-04-19T19:32:52Z 置信度 0.78 cs.SEcs.AI
• Understanding and Mitigating Risks of Generative AI in Financial Services
  To responsibly develop Generative AI (GenAI) products, it is critical to define the scope of acceptable inputs and outputs. What constitutes a "safe" response is an actively debated question. Academic work puts an outsized focus on evaluating models by themsel…
  arxiv Sebastian Gehrmann, Claire Huang, Xian Teng, Sergei Yurovski 等 2025-04-25T16:55:51Z 置信度 0.78 cs.CLcs.AIcs.CYcs.LG
• Interacting with Thoughtful AI
  We envision the concept of Thoughtful AI, a new human-AI interaction paradigm in which the AI behaves as a continuously thinking entity. Unlike conventional AI systems that operate on a turn-based, input-output model, Thoughtful AI autonomously generates, deve…
  arxiv Xingyu Bruce Liu, Haijun Xia, Xiang Anthony Chen 2025-02-25T22:36:03Z 置信度 0.78 cs.HC
• Ensembling Multiple Hallucination Detectors Trained on VLLM Internal Representations
  This paper presents the 5th place solution by our team, y3h2, for the Meta CRAG-MM Challenge at KDD Cup 2025. The CRAG-MM benchmark is a visual question answering (VQA) dataset focused on factual questions about images, including egocentric images. The competi…
  arxiv Yuto Nakamizo, Ryuhei Miyazato, Hikaru Tanabe, Ryuta Yamakura 等 2025-10-16T06:09:26Z 置信度 0.78 cs.IR
• Digital Twins &amp; ZeroConf AI: Structuring Automated Intelligent Pipelines for Industrial Applications
  The increasing complexity of Cyber-Physical Systems (CPS), particularly in the industrial domain, has amplified the challenges associated with the effective integration of Artificial Intelligence (AI) and Machine Learning (ML) techniques. Fragmentation across …
  arxiv Marco Picone, Fabio Turazza, Matteo Martinelli, Marco Mamei 2026-02-04T10:11:06Z 置信度 0.78 cs.AIcs.SE
• Student Perspectives on the Benefits and Risks of AI in Education
  The use of chatbots equipped with artificial intelligence (AI) in educational settings has increased in recent years, showing potential to support teaching and learning. However, the adoption of these technologies has raised concerns about their impact on acad…
  arxiv Griffin Pitts, Viktoria Marcus, Sanaz Motamedi 2025-05-04T17:36:11Z 置信度 0.78 cs.CYcs.AIcs.ET
• Deep Retrieval at CheckThat! 2025: Identifying Scientific Papers from Implicit Social Media Mentions via Hybrid Retrieval and Re-Ranking
  We present the methodology and results of the Deep Retrieval team for subtask 4b of the CLEF CheckThat! 2025 competition, which focuses on retrieving relevant scientific literature for given social media posts. To address this task, we propose a hybrid retriev…
  arxiv Pascal J. Sager, Ashwini Kamaraj, Benjamin F. Grewe, Thilo Stadelmann 2025-05-29T08:55:39Z 置信度 0.78 cs.IRcs.AI
• Otus Supercomputer
  Otus is a high-performance computing cluster that was launched in 2025 and is operated by the Paderborn Center for Parallel Computing (PC2) at Paderborn University in Germany. The system is part of the National High Performance Computing (NHR) initiative. Otus…
  arxiv Sadaf Ehtesabi, Manoar Hossain, Tobias Kenter, Andreas Krawinkel 等 2025-12-08T10:36:54Z 置信度 0.78 cs.DC
• Who Writes What: Unveiling the Impact of Author Roles on AI-generated Text Detection
  The rise of Large Language Models (LLMs) necessitates accurate AI-generated text detection. However, current approaches largely overlook the influence of author characteristics. We investigate how sociolinguistic attributes-gender, CEFR proficiency, academic f…
  arxiv Jiatao Li, Xiaojun Wan 2025-02-18T07:49:31Z 置信度 0.78 cs.CL
• Modality Alignment with Multi-scale Bilateral Attention for Multimodal Recommendation
  Multimodal recommendation systems are increasingly becoming foundational technologies for e-commerce and content platforms, enabling personalized services by jointly modeling users' historical behaviors and the multimodal features of items (e.g., visual and te…
  arxiv Kelin Ren, Chan-Yang Ju, Dong-Ho Lee 2025-09-11T02:52:26Z 置信度 0.78 cs.IR
• MAMM: Motion Control via Metric-Aligning Motion Matching
  We introduce a novel method for controlling a motion sequence using an arbitrary temporal control sequence using temporal alignment. Temporal alignment of motion has gained significant attention owing to its applications in motion control and retargeting. Trad…
  arxiv Naoki Agata, Takeo Igarashi 2025-05-26T13:36:27Z 置信度 0.78 cs.GR
• Capturing Fine-Grained Alignments Improves 3D Affordance Detection
  In this work, we address the challenge of affordance detection in 3D point clouds, a task that requires effectively capturing fine-grained alignments between point clouds and text. Existing methods often struggle to model such alignments, resulting in limited …
  arxiv Junsei Tokumitsu, Yuiga Wada 2025-06-24T04:58:55Z 置信度 0.78 cs.CVcs.AI
• NeSyPack: A Neuro-Symbolic Framework for Bimanual Logistics Packing
  This paper presents NeSyPack, a neuro-symbolic framework for bimanual logistics packing. NeSyPack combines data-driven models and symbolic reasoning to build an explainable hierarchical system that is generalizable, data-efficient, and reliable. It decomposes …
  arxiv Bowei Li, Peiqi Yu, Zhenran Tang, Han Zhou 等 2025-06-06T22:47:32Z 置信度 0.78 cs.RO
• QQJ: Quantifying Qualitative Judgment for Scalable and Human-Aligned Evaluation of Generative AI
  The rapid progress of generative artificial intelligence has exposed fundamental limitations in existing evaluation methodologies, particularly for open-ended, creative, and human-facing tasks. Traditional automatic metrics rely on surface-level statistical si…
  arxiv Marjan Veysi, Pirooz Shamsinejadbabaki, Mohammad Zare, Mohammad Sabouri 2026-05-17T10:53:43Z 置信度 0.78 cs.AIcs.CLcs.GR