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• Deployment-Aligned Low-Precision Neural Architecture Search for Spaceborne Edge AI
  Designing deep networks that meet strict latency and accuracy constraints on edge accelerators increasingly relies on hardware-aware optimization, including neural architecture search (NAS) guided by device-level metrics. Yet most hardware-aware NAS pipelines …
  arxiv Parampuneet Kaur Thind, Vaibhav Katturu, Giacomo Zema, Roberto Del Prete 2026-04-27T13:58:18Z 置信度 0.78 cs.CVcs.AIcs.ETcs.LGcs.NE
• Fake Alignment: Are LLMs Really Aligned Well?
  The growing awareness of safety concerns in large language models (LLMs) has sparked considerable interest in the evaluation of safety. This study investigates an under-explored issue about the evaluation of LLMs, namely the substantial discrepancy in performa…
  arxiv Yixu Wang, Yan Teng, Kexin Huang, Chengqi Lyu 等 2023-11-10T08:01:23Z 置信度 0.78 cs.CLcs.AI
• Recognizing Artificial Minds: A Philosophical Defense of AI Cognition
  This work defends the 'Whole Hog Thesis': sophisticated Large Language Models (LLMs) like ChatGPT are full-blown linguistic and cognitive agents, possessing understanding, beliefs, desires, knowledge, and intentions. We argue against prevailing methodologies i…
  arxiv Herman Cappelen, Josh Dever 2025-04-18T11:36:25Z 置信度 0.78 cs.AI
• Cognitive Visual-Language Mapper: Advancing Multimodal Comprehension with Enhanced Visual Knowledge Alignment
  Evaluating and Rethinking the current landscape of Large Multimodal Models (LMMs), we observe that widely-used visual-language projection approaches (e.g., Q-former or MLP) focus on the alignment of image-text descriptions yet ignore the visual knowledge-dimen…
  arxiv Yunxin Li, Xinyu Chen, Baotian Hu, Haoyuan Shi 等 2024-02-21T06:34:46Z 置信度 0.78 cs.CLcs.CV
• KPC-cF: Aspect-Based Sentiment Analysis via Implicit-Feature Alignment with Corpus Filtering
  Investigations into Aspect-Based Sentiment Analysis (ABSA) for Korean industrial reviews are notably lacking in the existing literature. Our research proposes an intuitive and effective framework for ABSA in low-resource languages such as Korean. It optimizes …
  arxiv Kibeom Nam 2024-06-29T07:01:51Z 置信度 0.78 cs.CLcs.AI
• Hierarchical Narrative Analysis: Unraveling Perceptions of Generative AI
  Written texts reflect an author's perspective, making the thorough analysis of literature a key research method in fields such as the humanities and social sciences. However, conventional text mining techniques like sentiment analysis and topic modeling are li…
  arxiv Riona Matsuoka, Hiroki Matsumoto, Takahiro Yoshida, Tomohiro Watanabe 等 2024-09-17T09:56:12Z 置信度 0.78 cs.CL
• Explingo: Explaining AI Predictions using Large Language Models
  Explanations of machine learning (ML) model predictions generated by Explainable AI (XAI) techniques such as SHAP are essential for people using ML outputs for decision-making. We explore the potential of Large Language Models (LLMs) to transform these explana…
  arxiv Alexandra Zytek, Sara Pido, Sarah Alnegheimish, Laure Berti-Equille 等 2024-12-06T16:01:30Z 置信度 0.78 cs.CLcs.AIcs.LG
• Collaborative Quest Completion with LLM-driven Non-Player Characters in Minecraft
  The use of generative AI in video game development is on the rise, and as the conversational and other capabilities of large language models continue to improve, we expect LLM-driven non-player characters (NPCs) to become widely deployed. In this paper, we see…
  arxiv Sudha Rao, Weijia Xu, Michael Xu, Jorge Leandro 等 2024-07-03T19:11:21Z 置信度 0.78 cs.CLcs.AI
• Addressing Social Misattributions of Large Language Models: An HCXAI-based Approach
  Human-centered explainable AI (HCXAI) advocates for the integration of social aspects into AI explanations. Central to the HCXAI discourse is the Social Transparency (ST) framework, which aims to make the socio-organizational context of AI systems accessible t…
  arxiv Andrea Ferrario, Alberto Termine, Alessandro Facchini 2024-03-26T17:02:42Z 置信度 0.78 cs.AI
• TS-Align: A Teacher-Student Collaborative Framework for Scalable Iterative Finetuning of Large Language Models
  Mainstream approaches to aligning large language models (LLMs) heavily rely on human preference data, particularly when models require periodic updates. The standard process for iterative alignment of LLMs involves collecting new human feedback for each update…
  arxiv Chen Zhang, Chengguang Tang, Dading Chong, Ke Shi 等 2024-05-30T16:17:40Z 置信度 0.78 cs.CL
• FinRCA-Bench: Benchmarking Evidence Retrieval and Reasoning for Financial AI Systems
  Large language models are increasingly used to support financial operations, but their apparent reasoning performance can depend on whether they receive the right evidence. In financial reconciliation, the evidence needed for diagnosis is distributed across in…
  arxiv Pratik Ghawate 2026-08-19T04:36:01Z 置信度 0.78 cs.AIcs.IR
• Towards a criteria-based approach to selecting human-AI interaction mode
  Artificial intelligence (AI) tools are now prevalent in many knowledge work industries. As AI becomes more capable and interactive, there is a growing need for guidance on how to employ AI most effectively. The A2C framework (Tariq, Chhetri, Nepal & Paris,…
  arxiv Jessica Irons, Patrick Cooper, Melanie McGrath, Shahroz Tariq 等 2024-11-11T22:27:24Z 置信度 0.78 cs.HC
• HDP: A Lightweight Cryptographic Protocol for Human Delegation Provenance in Agentic AI Systems
  Agentic AI systems increasingly execute consequential actions on behalf of human principals, delegating tasks through multi-step chains of autonomous agents. No existing standard addresses a fundamental accountability gap: verifying that terminal actions in a …
  arxiv Asiri Dalugoda 2026-04-06T08:35:27Z 置信度 0.78 cs.CRcs.MA
• Self-Emotion-Mediated Exploration in Artificial Intelligence Mirrors: Findings from Cognitive Psychology
  Background: Exploration of the physical environment is an indispensable precursor to information acquisition and knowledge consolidation for living organisms. Yet, current artificial intelligence models lack these autonomy capabilities during training, hinderi…
  arxiv Gustavo Assunção, Miguel Castelo-Branco, Paulo Menezes 2023-02-13T18:20:44Z 置信度 0.78 cs.AIcs.LG
• On the Ethics of Building AI in a Responsible Manner
  The AI-alignment problem arises when there is a discrepancy between the goals that a human designer specifies to an AI learner and a potential catastrophic outcome that does not reflect what the human designer really wants. We argue that a formalism of AI alig…
  arxiv Shai Shalev-Shwartz, Shaked Shammah, Amnon Shashua 2020-03-30T04:11:08Z 置信度 0.78 cs.LG
• AI-Educational Development Loop (AI-EDL): A Conceptual Framework to Bridge AI Capabilities with Classical Educational Theories
  This study introduces the AI-Educational Development Loop (AI-EDL), a theory-driven framework that integrates classical learning theories with human-in-the-loop artificial intelligence (AI) to support reflective, iterative learning. Implemented in EduAlly, an …
  arxiv Ning Yu, Jie Zhang, Sandeep Mitra, Rebecca Smith 等 2025-08-01T15:44:19Z 置信度 0.78 cs.CYcs.AI
• S-AI-Recursive: Convergent Recursive Reasoning
  This article introduces S-AI-Recursive, a bio-inspired Sparse Artificial Intelligence architecture in which reasoning is implemented as a hormonally regulated closed-loop iteration rather than a single feed-forward pass. The Recursive Reasoning Cycle (RRC) is …
  arxiv Said Slaoui 2026-05-05T20:50:29Z 置信度 0.78 cs.NEcs.AI
• TrimCaching: Parameter-sharing Edge Caching for AI Model Downloading
  Next-generation mobile networks are expected to facilitate fast AI model downloading to end users. By caching models on edge servers, mobile networks can deliver models to end users with low latency, resulting in a paradigm of edge model caching. In this paper…
  arxiv Guanqiao Qu, Zheng Lin, Qian Chen, Jian Li 等 2024-04-22T14:13:36Z 置信度 0.78 cs.NI
• Trust and Reliance in XAI -- Distinguishing Between Attitudinal and Behavioral Measures
  Trust is often cited as an essential criterion for the effective use and real-world deployment of AI. Researchers argue that AI should be more transparent to increase trust, making transparency one of the main goals of XAI. Nevertheless, empirical research on …
  arxiv Nicolas Scharowski, Sebastian A. C. Perrig, Nick von Felten, Florian Brühlmann 2022-03-23T10:39:39Z 置信度 0.78 cs.HCcs.AI
• Chess Rating Estimation from Moves and Clock Times Using a CNN-LSTM
  Current chess rating systems update ratings incrementally and may not always accurately reflect a player's true strength at all times, especially for rapidly improving players or very rusty players. To overcome this, we explore a method to estimate player rati…
  arxiv Michael Omori, Prasad Tadepalli 2024-09-17T19:19:16Z 置信度 0.78 cs.LG
• Non-rigid Structure-from-Motion: Temporally-smooth Procrustean Alignment and Spatially-variant Deformation Modeling
  Even though Non-rigid Structure-from-Motion (NRSfM) has been extensively studied and great progress has been made, there are still key challenges that hinder their broad real-world applications: 1) the inherent motion/rotation ambiguity requires either explici…
  arxiv Jiawei Shi, Hui Deng, Yuchao Dai 2024-05-07T13:33:50Z 置信度 0.78 cs.CVcs.AI
• Can Reinforcement Learning Unlock the Hidden Dangers in Aligned Large Language Models?
  Large Language Models (LLMs) have demonstrated impressive capabilities in natural language tasks, but their safety and morality remain contentious due to their training on internet text corpora. To address these concerns, alignment techniques have been develop…
  arxiv Mohammad Bahrami Karkevandi, Nishant Vishwamitra, Peyman Najafirad 2024-08-05T17:27:29Z 置信度 0.78 cs.CLcs.AIcs.CR
• SHAPE: Stage-aware Hierarchical Advantage via Potential Estimation for LLM Reasoning
  Process supervision has emerged as a promising approach for enhancing LLM reasoning, yet existing methods fail to distinguish meaningful progress from mere verbosity, leading to limited reasoning capabilities and unresolved token inefficiency. To address this,…
  arxiv Zhengyang Ai, Zikang Shan, Xiaodong Ai, Jingxian Tang 等 2026-04-08T03:22:26Z 置信度 0.78 cs.LGcs.AIcs.CL
• Goal Alignment: A Human-Aware Account of Value Alignment Problem
  Value alignment problems arise in scenarios where the specified objectives of an AI agent don't match the true underlying objective of its users. The problem has been widely argued to be one of the central safety problems in AI. Unfortunately, most existing wo…
  arxiv Malek Mechergui, Sarath Sreedharan 2023-02-02T01:18:57Z 置信度 0.78 cs.AI
• Measurement of the Orbit Response Matrix for the SIS18 Doublet Optics
  This report describes the setup and results of a 2024 experiment on beam-based measurement of the Orbit Response Matrix (ORM) for the GSI Heavy Ion Synchrotron SIS18, characterising the standard doublet optics at extraction energy. The measured ORM is explicit…
  arxiv Victoria Isensee, Conrad Caliari, Adrian Oeftiger 2024-10-28T10:32:24Z 置信度 0.78 physics.acc-ph
• OpenDlign: Open-World Point Cloud Understanding with Depth-Aligned Images
  Recent open-world 3D representation learning methods using Vision-Language Models (VLMs) to align 3D point cloud with image-text information have shown superior 3D zero-shot performance. However, CAD-rendered images for this alignment often lack realism and te…
  arxiv Ye Mao, Junpeng Jing, Krystian Mikolajczyk 2024-04-25T11:53:36Z 置信度 0.78 cs.CV
• AI-TA: Towards an Intelligent Question-Answer Teaching Assistant using Open-Source LLMs
  Responding to the thousands of student questions on online QA platforms each semester has a considerable human cost, particularly in computing courses with rapidly growing enrollments. To address the challenges of scalable and intelligent question-answering (Q…
  arxiv Yann Hicke, Anmol Agarwal, Qianou Ma, Paul Denny 2023-11-05T21:43:02Z 置信度 0.78 cs.LGcs.AIcs.CL
• Machine Learning for Health symposium 2024 -- Findings track
  A collection of the accepted Findings papers that were presented at the 4th Machine Learning for Health symposium (ML4H 2024), which was held on December 15-16, 2024, in Vancouver, BC, Canada. ML4H 2024 invited high-quality submissions describing innovative re…
  arxiv Stefan Hegselmann, Helen Zhou, Elizabeth Healey, Trenton Chang 等 2025-03-02T18:47:05Z 置信度 0.78 cs.LG
• How Does Variance Shape the Regret in Contextual Bandits?
  We consider realizable contextual bandits with general function approximation, investigating how small reward variance can lead to better-than-minimax regret bounds. Unlike in minimax bounds, we show that the eluder dimension $d_\text{elu}$$-$a complexity meas…
  arxiv Zeyu Jia, Jian Qian, Alexander Rakhlin, Chen-Yu Wei 2024-10-16T16:20:07Z 置信度 0.78 cs.LGstat.ML
• Responsible AI Agents
  Thanks to advances in large language models, a new type of software agent, the artificial intelligence (AI) agent, has entered the marketplace. Companies such as OpenAI, Google, Microsoft, and Salesforce promise their AI Agents will go from generating passive …
  arxiv Deven R. Desai, Mark O. Riedl 2025-02-25T16:49:06Z 置信度 0.78 cs.CY
• Enhancing Domain Adaptation through Prompt Gradient Alignment
  Prior Unsupervised Domain Adaptation (UDA) methods often aim to train a domain-invariant feature extractor, which may hinder the model from learning sufficiently discriminative features. To tackle this, a line of works based on prompt learning leverages the po…
  arxiv Hoang Phan, Lam Tran, Quyen Tran, Trung Le 2024-06-13T17:40:15Z 置信度 0.78 cs.LGcs.CV
• How time and pollster history affect U.S. election forecasts under a compartmental modeling approach
  In the months leading up to political elections in the United States, forecasts are widespread and take on multiple forms, including projections of what party will win the popular vote, state ratings, and predictions of vote margins at the state level. It can …
  arxiv Ryan Branstetter, Samuel Chian, Joseph Cromp, William L He 等 2024-11-04T01:08:03Z 置信度 0.78 physics.soc-ph
• The Role of AI in Peer Support for Young People: A Study of Preferences for Human- and AI-Generated Responses
  Generative Artificial Intelligence (AI) is integrated into everyday technology, including news, education, and social media. AI has further pervaded private conversations as conversational partners, auto-completion, and response suggestions. As social media be…
  arxiv Jordyn Young, Laala M Jawara, Diep N Nguyen, Brian Daly 等 2024-05-04T16:53:19Z 置信度 0.78 cs.HCcs.AI
• The Importance of Accurate Data Alignment for ILI Assessments
  crossref Lucinda Smart, Benjamin Wright, Dyke Hicks 2024-01-31T23:04:44Z 置信度 0.70
• Distribution shift alignment in visual domain adaptation
  crossref Elham Hatefi, Hossein Karshenas, Peyman Adibi 2023-08-19T03:20:19Z 置信度 0.70
• Hiding From Generative AI
  How does generative Artificial Intelligence (AI) impact the incentives of content creators to publish their work? This paper uses a difference-in-differences analysis to identify how much creators withhold their work online to avoid being "stolen" by AI compan…
  crossref Sijie Lin 2024-04-22T16:05:33Z 置信度 0.70
• Using AI for Qualitative Research
  This two-day seminar delves into the integration of artificial intelligence tools like NVivo, ChatGPT, Perplexity, and HeyGen to transform qualitative research methodologies across various academic disciplines. Participants will learn to enhance their research…
  crossref Corinne Seals 2024-12-12T14:09:27Z 置信度 0.70
• OECD alignment assessments of sustainability initiatives in an evolving regulatory context
  This paper sets out reflections on OECD assessments of multi-stakeholder, government and industry initiatives (“sustainability initiatives”) against OECD responsible business conduct (RBC) due diligence standards since 2016 and its work with initiatives on imp…
  crossref 2024-11-21T09:55:48Z 置信度 0.70
• Review for "2D-3D heterostructure of PtS2-x/Ga2O3 and their band alignment studies for high performance and broadband photodetector"
  crossref 2024-05-07T17:18:45Z 置信度 0.70
• Toward effective human resource practices
  Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their…
  crossref 2024-01-30T23:34:27Z 置信度 0.70
• Predicting crime or perpetuating bias? The AI dilemma
  crossref Jeena Joseph 2024-08-01T04:15:27Z 置信度 0.70
• MuDupNet: Multitasking Dual-Threshold Pointer Network for Point Cloud Alignment
  Abstract Point cloud alignment is a core task in computer vision and robotics. To address the problems of inefficiency and insufficient interpretability often faced by existing methods when dealing with point clouds with complex local geometries, this paper pr…
  crossref Yingjie Zhang, Keyuan Qiu, Zekai Ren, Shun Zhang 2024-04-17T18:19:05Z 置信度 0.70
• Review for "2D-3D heterostructure of PtS2-x/Ga2O3 and their band alignment studies for high performance and broadband photodetector"
  crossref 2024-05-07T17:18:45Z 置信度 0.70
• Do we advise as one likes? The alignment bias in social advice giving
  We often give advice to influence others, but could our own advice also be shaped by the very individuals we aim to influence (i.e., advisees)? This reverse flow of social influence—from those typically seen as being influenced to those who provide the influen…
  crossref Xitong Luo, Lei Zhang, yafeng Pan 2024-05-04T04:34:12Z 置信度 0.70
• Curriculum Alignment and Student Engagement in Nigerian Secondary Schools
  This research delves into the relationship between curriculum alignment and student engagement in Nigerian secondary schools. It investigates how well the current curriculum reflects the real-world needs and interests of students and examines its impact on stu…
  crossref 2026-01-13T06:02:51Z 置信度 0.70
• Improving information technology and business strategy alignment
  Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their…
  crossref 2024-11-15T00:39:07Z 置信度 0.70
• The European Union and an “Indo-Pacific” Alignment
  The European Union (EU) is deepening its political and security engagement in the so-called Indo-Pacific mega-region.Aside from alluring economic drivers, this article argues that growing suspicion vis-à-vis the People's Republic of China (PRC) has been accomp…
  crossref Giulio Pugliese 2024-07-05T15:42:36Z 置信度 0.70
• Everfitme: AI-powered fitness application
  crossref Shanto Mathews, S. V. Annlin Jeba 2025-07-10T21:25:13Z 置信度 0.70
• AI in Product Design
  crossref Md Haseen Akhtar, Janakarajan Ramkumar 2023-12-15T04:35:09Z 置信度 0.70
• Generative AI and human labor: who is replaceable?
  crossref Syed AbuMusab 2023-09-08T16:16:09Z 置信度 0.70
• Improved Alignment of Modalities in Large Vision Language Models
  Abstract Recent advancements in vision-language models have achieved remarkable results in making language models understand vision inputs. However, a unified approach to align these models across diverse tasks such as image captioning and visual question answ…
  preprints Kartik Jangra, Aman Kumar Singh, Yashwani Mann, Geetanjali Rathee 2024 置信度 0.74
• Reflections on emerging HCI–AI research
  crossref Swaroop Panda, Shatarupa Thakurta Roy 2022-03-09T07:02:37Z 置信度 0.70
• Adapt & Align: Continual Learning with Generative Models' Latent Space Alignment
  crossref Kamil Deja, Bartosz Cywiński, Jan Rybarczyk, Tomasz Trzciński 2024-01-10T20:49:54Z 置信度 0.70
• What Is Generative AI?
  Generative artificial intelligence (AI) is a transformative technology that is rapidly reshaping the world. What was once a far-off dream – a machine capable of human-like communication and reasoning – is fast becoming a reality. Staying current in the tech in…
  crossref Tom Auger, Emma Saroyan 2024-11-20T15:34:06Z 置信度 0.70
• AI in medical diagnosis: AI prediction & human judgment
  AI has long been regarded as a panacea for decision-making and many other aspects of knowledge work; as something that will help humans get rid of their shortcomings. We believe that AI can be a useful asset to support decision-makers, but not that it should r…
  crossref Dóra Göndöcs, Viktor Dörfler 2024-01-21T01:42:56Z 置信度 0.70
• Through their eyes: Multi-subject brain decoding with simple alignment techniques
  Abstract To-date, brain decoding literature has focused on single-subject studies, that is, reconstructing stimuli presented to a subject under fMRI acquisition from the fMRI activity of the same subject. The objective of this study is to introduce a generaliz…
  crossref Matteo Ferrante, Tommaso Boccato, Furkan Ozcelik, Rufin VanRullen 等 2024-04-23T19:07:35Z 置信度 0.70
• Geodetic, survey and alignment challenges of the FCC-ee
  Abstract At CERN, each generation of particle accelerators led to the implementation of new geodetic, survey and alignment methodologies following the increasing accuracy requirements and the evolution of survey instruments. The Future Circular Collider (FCC),…
  crossref H. Mainaud Durand, L. Watrelot, B. Weyer 2024-02-06T19:20:38Z 置信度 0.70
• Self-Supervised Visual Preference Alignment
  This paper makes the first attempt towards unsupervised preference alignment in Vision-Language Models (VLMs). We generate chosen and rejected responses with regard to the original and augmented image pairs, and conduct preference alignment with direct prefere…
  crossref Ke Zhu, Liang Zhao, Zheng Ge, Xiangyu Zhang 2024-10-26T06:59:33Z 置信度 0.70
• Strategies for Successful Generative AI Implementation
  By now, it should be obvious that Generative AI represents a transformative technology that has the potential to revolutionize (and is already revolutionizing) industries by enhancing creativity, facilitating if not completely automating complex tasks, elimina…
  crossref Ahmed Bouzid, Paolo Narciso, Weiye Ma 2024-12-16T11:34:21Z 置信度 0.70
• Reconcile Using Generative AI
  Depending on an AI for truth is like taking your drunk friend seriously.
  crossref Patrick Parra Pennefather 2024-12-31T13:59:03Z 置信度 0.70
• Privacy-Preserving AI Techniques
  Safeguarding sensitive information has become critical in the complex intersection of artificial intelligence (AI) and privacy. As organizations use AI to harvest insights from massive datasets, it is critical that they use strategies that prioritize privacy. …
  crossref Ranadeep Reddy Palle, Krishna Chaitanya Rao Kathala 2024-07-17T17:02:38Z 置信度 0.70
• Risks from Generative AI
  crossref Sonjai Kumar 2024-07-11T17:22:21Z 置信度 0.70
• AI as financial infrastructure?
  From an ‘infrastructural gaze,’ this chapter examines the penetration of artificial intelligence in capital markets as a blend of continuity and change in finance. The growing infrastructural dimension of AI stems firstly from the evolution of algorithmic trad…
  crossref Edemilson Paraná 2024-08-22T10:31:10Z 置信度 0.70
• The Simple Macroeconomics of AI
  SUMMARY This paper evaluates claims about the large macroeconomic implications of new advances in Artificial intelligence (AI). It starts from a task-based model of AI’s effects, working through automation and task complementarities. So long as AI’s microecono…
  crossref Daron Acemoglu 2024-05-27T19:32:03Z 置信度 0.70
• Fine-Grained Anomaly Detection on Dynamic Graphs via Attention Alignment
  Dynamic graphs are ubiquitous in our lives, yet they are also susceptible to the risks imposed by malicious activities. However, identifying anomalies in these dynamic graphs presents a challenging task due to the complex graph structures. Existing methods for…
  crossref Dong Chen, Xiang Zhao, Weidong Xiao 2024-07-23T13:38:03Z 置信度 0.70
• TSTA: Thread and SIMD-Based Trapezoidal Pairwise/Multiple Sequence Alignment Method
  Abstracts The rapid advancements in sequencing length necessitate the adoption of increasingly efficient sequence alignment algorithms. The Needleman-Wunsch method introduces the foundational dynamic programming (DP) matrix calculation for global alignment, wh…
  crossref Peiyu Zong, Wenpeng Deng, Jian Liu, Jue Ruan 2024-09-22T14:25:11Z 置信度 0.70
• Technical challenges and perception: does AI have a PR issue?
  Abstract Increasingly, models have been highlighted that not only disadvantage society but those whom the model was originally designed to benefit. An increasing number of legal challenges around the world illustrates this. A surge of recent work has focussed …
  crossref Marie Oldfield 2023-07-24T09:02:21Z 置信度 0.70
• AI Readiness
  This chapter delves into preparing organizations for the transformative journey of integrating artificial intelligence (AI). This chapter explores the pivotal concept of AI readiness, which embodies the state of preparedness necessary for organizations to adop…
  crossref Seth Dobrin 2024-05-17T23:05:41Z 置信度 0.70
• AI-Powered Synthetic Personas
  Public relations (PR) revolves around cultivating positive connections between organizations and their audiences. With the emergence of artificial intelligence (AI), synthetic personas – virtual representations of real individuals – are becoming integral to PR…
  crossref Regina Luttrell, Carrie Welch 2024-12-17T15:12:29Z 置信度 0.70
• The AI We Have Now Is Not the AI We Should Want
  crossref 2024-09-17T19:13:16Z 置信度 0.70
• Prototypical Contrastive Learning through Alignment and Uniformity for Recommendation
  Graph Collaborative Filtering (GCF), one of the most widely adopted recommendation system methods, effectively captures intricate relationships between user and item interactions. Graph Contrastive Learning (GCL) based GCF has gained significant attention as i…
  crossref Yangxun Ou, Lei Chen, Fenglin Pan, Yupeng Wu 2024-09-09T13:35:05Z 置信度 0.70
• Consolidation
  crossref Poornachandra Sarang 2024-02-15T14:01:48Z 置信度 0.70
• Audio-text Retrieval with Transformer-based Hierarchical Alignment and Disentangled Cross-modal Representation
  crossref Yifei Xin, Zhihong Zhu, Xuxin Cheng, Xusheng Yang 等 2024-09-01T07:10:12Z 置信度 0.70
• Asymptotics of Language Model Alignment
  Let$\boldsymbol{p}$denote a reference generative language model. Let$\boldsymbol{r}$denote a reward model that returns a scalar to capture the degree at which a draw from$\boldsymbol{p}$is preferred. The goal of language model alignment is to alter$\boldsymbol…
  crossref Joy Qiping Yang, Salman Salamatian, Ziteng Sun, Ananda Theertha Suresh 等 2024-08-19T13:25:01Z 置信度 0.70
• Insufficiency of informal alignment: why did Finland choose formal NATO membership?
  Abstract In May 2022, less than three months after Russia started its war of aggression against Ukraine, both Finland and Sweden applied for membership in NATO, thereby revoking their longstanding policies of non-alliance. What led to this shift? And what made…
  crossref Matti Pesu, Tuomas Iso-Markku 2024-01-12T08:59:09Z 置信度 0.70
• AI in Radiology -Sponsored by Microsoft
  crossref 2024-07-09T13:55:15Z 置信度 0.70
• On monitorability of AI
  Abstract Artificially intelligent (AI) systems have ushered in a transformative era across various domains, yet their inherent traits of unpredictability, unexplainability, and uncontrollability have given rise to concerns surrounding AI safety. This paper aim…
  crossref Roman V. Yampolskiy 2024-02-06T04:02:07Z 置信度 0.70
• Enhancing Alignment and Uniformity of Contrastive Learning for Knowledge-based Recommendation
  Knowledge Graphs (KGs) usually contain rich internal semantic associations between entities and items, which can improve the quality of recommendation by building higher-order user-item relationships. However, many implicit higher-order relations do not guaran…
  crossref Zuxiang Xie, Junyi Li, Ning Wu 2024-09-09T17:35:05Z 置信度 0.70
• Effects of Curriculum Alignment, Professional Development, and Access and Resources on Teaching Strategies for Museum Education
  Despite government efforts to promote museum awareness in education in China, little evidence exists on why there is a teaching gap in this discipline.This study explores factors contributing to this gap and classifies the levels of curriculum alignment, profe…
  crossref 2024-08-23T00:23:46Z 置信度 0.70
• Addressing corrigibility in near-future AI systems
  Abstract When we discuss future advanced autonomous AI systems, one of the worries is that these systems will be capable enough to resist external intervention, even when such intervention is crucial, for example, when the system is not behaving as intended. T…
  crossref Erez Firt 2024-05-16T10:01:42Z 置信度 0.70
• AI BASED DIGITAL EDUCATION SYSTEM IN INDIA
  crossref Dr. Rajab Ali Biswas 2024-08-22T18:20:17Z 置信度 0.70
• Front Matter: Volume 13227
  crossref 2024-09-03T21:32:06Z 置信度 0.70
• Chapter 17: Leveraging AI for Email Marketing Campaigns
  crossref 2024-08-28T10:58:12Z 置信度 0.70
• The Strategic Alignment Process
  crossref Bernd Heesen 2024-04-03T09:02:41Z 置信度 0.70
• Title Page i
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• Proceedings
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• CNN
  crossref Poornachandra Sarang 2024-02-15T14:01:48Z 置信度 0.70
• Front Matter
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• Multi-metric locality sensitive hashing enhances alignment accuracy of bisulfite sequencing reads: BisHash
  Abstract Motivation Locality-Sensitive Hashing (LSH) is a widely used algorithm for estimating similarity between large datasets in bioinformatics, with applications in genome assembly, sequence alignment, and metagenomics. However, traditional single-metric L…
  crossref Hassan Nikaein, Ali Sharifi-Zarchi 2025-07-23T18:26:58Z 置信度 0.70
• “Foot posture, function and alignment”, a continuing theme in children post SDR surgery?
  crossref Lucy Lecount 2024-09-03T10:34:28Z 置信度 0.70
• CINA: Curvature-Based Integrated Network Alignment with Hypergraph
  Network alignment involves identifying corresponding nodes across multiple networks. The majority of existing methods adhere to the assumption of consistency. However, due to distinct graph generation mechanisms, anchor nodes in real-world datasets often exhib…
  crossref Pengfei Jiao, Yuanqi Liu, Yinghui Wang, Ge Zhang 2024-07-23T17:38:03Z 置信度 0.70
• Ai Creativity and Legal Protection for Ai-Generated Works in Posthuman Societal Scenarios
  crossref Wei Li, Kunpeng Yu 2024-08-22T19:46:36Z 置信度 0.70
• Curriculum Alignment: Doing Kinesiology as We Mean It
  Based on the lessons learned from history and articulation of paradigm change in science, this article clarifies the concept of curriculum alignment and describes the risk of curriculum disalignment between school physical education and kinesiology. Through co…
  crossref Ang Chen 2023-12-01T11:35:12Z 置信度 0.70
• Empowered Minds: AI and the New Era of Digital Mindfulness
  This book “Empowered Minds: AI and the New Era of Digital Mindfulness” explores the transformative intersection of artificial intelligence and mindfulness, ushering in a revolutionary era of mental well-being. As technology increasingly dominates our lives, th…
  crossref 2024-11-18T06:18:58Z 置信度 0.70
• AI Generated Metadata for Equitable Publication Access
  Achieving equitable information access is now possible across socioeconomic and geographical boundaries more than ever. The application of artificial intelligence (AI) in the library has revolutionized library activities. Specifically, the application of AI in…
  crossref Jesubukade Ajakaye, Natalie Pendergast 2024-07-22T12:50:43Z 置信度 0.70
• Chapter 5: CSS3 and Meta AI
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• Title page
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• Optimizing Prompt Engineering for Generative AI
  In the constantly changing field of artificial intelligence, effective communication and prompt engineering have become essential for developers, researchers, and tech enthusiasts to guide and improve AI. Optimizing Prompt Engineering for Generative AI provide…
  crossref Erik Herman 2025-02-26T13:16:33Z 置信度 0.70
• AI-Powered Mobile Learning: Advancements, Challenges, and Future Directions
  The International Conference on Cutting-Edge Developments in Engineering Technology and Science (ICCDETS-24) serves as a premier platform for researchers, academicians, engineers, and industry professionals to exchange ideas, present their latest research find…
  crossref 2024-05-23T10:07:56Z 置信度 0.70
• Bridging cancer prevention efforts: Georgia's alignment with European code against cancer
  This report provides a concise overview of how Georgia has integrated the principles of the European Code Against Cancer (ECAC) into its national cancer strategies. Through a structured exploration, we highlight Georgia's commitment to cancer prevention, while…
  crossref Miranda Nonikashvili 2024-07-14T18:03:52Z 置信度 0.70