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• Random Feedback Alignment Algorithms to train Neural Networks: Why do they Align?
  Feedback alignment algorithms are an alternative to backpropagation to train neural networks, whereby some of the partial derivatives that are required to compute the gradient are replaced by random terms. This essentially transforms the update rule into a ran…
  arxiv Dominique Chu, Florian Bacho 2023-06-04T10:50:13Z 置信度 0.78 cs.LGcs.AI
• JSTprove: Pioneering Verifiable AI for a Trustless Future
  The integration of machine learning (ML) systems into critical industries such as healthcare, finance, and cybersecurity has transformed decision-making processes, but it also brings new challenges around trust, security, and accountability. As AI systems beco…
  arxiv Jonathan Gold, Tristan Freiberg, Haruna Isah, Shirin Shahabi 2025-10-23T22:22:38Z 置信度 0.78 cs.CRcs.AIcs.DCcs.LG
• Position: The Complexity of Perfect AI Alignment -- Formalizing the RLHF Trilemma
  Reinforcement Learning from Human Feedback (RLHF) is widely used for aligning large language models, yet practitioners face a persistent puzzle: improving safety often reduces fairness, scaling to diverse populations becomes computationally intractable, and ma…
  arxiv Subramanyam Sahoo, Aman Chadha, Vinija Jain, Divya Chaudhary 2025-11-23T20:23:23Z 置信度 0.78 cs.LGstat.ML
• EditLens: Quantifying the Extent of AI Editing in Text
  A significant proportion of queries to large language models ask them to edit user-provided text, rather than generate new text from scratch. While previous work focuses on detecting fully AI-generated text, we demonstrate that AI-edited text is distinguishabl…
  arxiv Katherine Thai, Bradley Emi, Elyas Masrour, Mohit Iyyer 2025-10-03T16:27:48Z 置信度 0.78 cs.CL
• Human-AI Coevolution
  Human-AI coevolution, defined as a process in which humans and AI algorithms continuously influence each other, increasingly characterises our society, but is understudied in artificial intelligence and complexity science literature. Recommender systems and as…
  arxiv Dino Pedreschi, Luca Pappalardo, Emanuele Ferragina, Ricardo Baeza-Yates 等 2023-06-23T18:10:54Z 置信度 0.78 cs.AI
• Contextual Memory Intelligence -- A Foundational Paradigm for Human-AI Collaboration and Reflective Generative AI Systems
  A critical challenge remains unresolved as generative AI systems are quickly implemented in various organizational settings. Despite significant advances in memory components such as RAG, vector stores, and LLM agents, these systems still have substantial memo…
  arxiv Kristy Wedel 2025-05-28T18:59:16Z 置信度 0.78 cs.AIcs.ET
• Almost scalar-flat Kähler metrics on affine algebraic manifolds
  Let $(X,L_{X})$ be an $n$-dimensional polarized manifold. Let $D$ be a smooth hypersurface defined by a holomorphic section of $L_{X}$. In this paper, we show the existence of a complete Kähler metric on $X \setminus D$ whose scalar curvature is flat away from…
  arxiv Takahiro Aoi 2019-08-15T15:32:13Z 置信度 0.78 math.DGmath.APmath.CV
• AI Governance InternationaL Evaluation Index (AGILE Index) 2024
  The rapid advancement of Artificial Intelligence (AI) technology is profoundly transforming human society and concurrently presenting a series of ethical, legal, and social issues. The effective governance of AI has become a crucial global concern. Since 2022,…
  arxiv Yi Zeng, Enmeng Lu, Xin Guan, Cunqing Huangfu 等 2025-02-21T10:16:56Z 置信度 0.78 cs.CYcs.AI
• Empowering Educators in the Age of AI: An Empirical Study on Creating custom GPTs in Qualitative Research Method education
  As generative AI (Gen-AI) tools become more prevalent in education, there is a growing need to understand how educators, not just students, can actively shape their design and use. This study investigates how two instructors integrated four custom GPT tools in…
  arxiv Qian Huang, Thijs Willems 2025-06-10T07:41:40Z 置信度 0.78 cs.HCcs.AI
• Can AI Assist in Olympiad Coding
  As artificial intelligence programs have become more powerful, their capacity for problem-solving continues to increase, approaching top-level competitors in many olympiads. Continued development of models and benchmarks is important but not the focus of this …
  arxiv Samuel Ren 2025-02-03T06:33:33Z 置信度 0.78 cs.SE
• Military AI Needs Technically-Informed Regulation to Safeguard AI Research and its Applications
  Military weapon systems and command-and-control infrastructure augmented by artificial intelligence (AI) have seen rapid development and deployment in recent years. However, the sociotechnical impacts of AI on combat systems, military decision-making, and the …
  arxiv Riley Simmons-Edler, Jean Dong, Paul Lushenko, Kanaka Rajan 等 2025-05-23T20:58:38Z 置信度 0.78 cs.CYcs.AIcs.HCcs.RO
• AI in Remote Patient Monitoring
  The rapid evolution of Artificial Intelligence (AI) has significantly transformed healthcare, particularly in the domain of Remote Patient Monitoring (RPM). This chapter explores the integration of AI in RPM, highlighting real-life applications, system archite…
  arxiv Nishargo Nigar 2024-07-04T15:33:57Z 置信度 0.78 cs.HCcs.AI
• From Retrieval to Synthesis: Repair Literacy and the Domestication of Generative AI
  How do students develop AI literacy through everyday practice rather than formal instruction? While normative AI literacy frameworks proliferate, empirical understanding of how students actually learn to work with generative AI remains limited. This study anal…
  arxiv Tawfiq Ammari, Meilun Chen, S M Mehedi Zaman, Kiran Garimella 2026-01-28T16:29:52Z 置信度 0.78 cs.HC
• Not My Truce: Personality Differences in AI-Mediated Workplace Negotiation
  AI-driven conversational coaching is increasingly used to support workplace negotiation, yet prior work assumes uniform effectiveness across users. We challenge this assumption by examining how individual differences, particularly personality traits, moderate …
  arxiv Veda Duddu, Jash Rajesh Parekh, Andy Mao, Hanyi Min 等 2026-04-01T04:26:26Z 置信度 0.78 cs.HCcs.AIcs.CLcs.CY
• Transport of overdamped Brownian particles in a two-dimensional tube: Nonadiabatic regime
  Transport of overdamped Brownian particles in a two-dimensional asymmetric tube is investigated in the presence of nonadiabatic periodic driving forces. By using Brownian dynamics simulations we can find that the phenomena in nonadiabatic regime differ from th…
  arxiv Bao-quan Ai 2010-03-19T04:17:35Z 置信度 0.78 cond-mat.softcond-mat.stat-mech
• Generalized multiple zeta values over number fields I
  Inspired by the theory of Hodge correlators due to Goncharov and by the plectic principle of Nekovář and Scholl, we construct higher plectic Green functions and give a higher order generalization of Hecke's formula for abelian $L$-functions over arbitrary numb…
  arxiv Xiaohua Ai 2018-09-19T19:07:16Z 置信度 0.78 math.NT
• AI Human Impact: Toward a Model for Ethical Investing in AI-Intensive Companies
  Does AI conform to humans, or will we conform to AI? An ethical evaluation of AI-intensive companies will allow investors to knowledgeably participate in the decision. The evaluation is built from nine performance indicators that can be analyzed and scored to …
  arxiv James Brusseau 2025-07-10T12:30:58Z 置信度 0.78 cs.CY
• Synergy: Towards On-Body AI via Tiny AI Accelerator Collaboration on Wearables
  The advent of tiny artificial intelligence (AI) accelerators enables AI to run at the extreme edge, offering reduced latency, lower power cost, and improved privacy. When integrated into wearable devices, these accelerators open exciting opportunities, allowin…
  arxiv Taesik Gong, Si Young Jang, Utku Günay Acer, Fahim Kawsar 等 2023-12-11T23:30:01Z 置信度 0.78 cs.DCcs.LG
• On the triviality of inhomogeneous deformations of $\mathfrak{osp}(1|2n)$
  We analyze the triviality of inhomogeneous $γ$-deformations of the oscillator Lie superalgebra $B(0,n) = \mathfrak{osp}(1|2n)$. As the main theorem, we show that for $n \geq 2$, the $γ$-deformation is trivial if and only if all deformation parameters vanish. T…
  arxiv Hisashi Aoi 2026-04-06T23:26:28Z 置信度 0.78 math.RT
• AI, Climate, and Regulation: From Data Centers to the AI Act
  We live in a world that is experiencing an unprecedented boom of AI applications that increasingly penetrate and enhance all sectors of private and public life, from education, media, medicine, and mobility to the industrial and professional workspace, and -- …
  arxiv Kai Ebert, Nicolas Alder, Ralf Herbrich, Philipp Hacker 2024-10-09T08:43:53Z 置信度 0.78 cs.CYcs.AI
• Align-KD: Distilling Cross-Modal Alignment Knowledge for Mobile Vision-Language Model Enhancement
  Vision-Language Models (VLMs) bring powerful understanding and reasoning capabilities to multimodal tasks. Meanwhile, the great need for capable aritificial intelligence on mobile devices also arises, such as the AI assistant software. Some efforts try to migr…
  arxiv Qianhan Feng, Wenshuo Li, Tong Lin, Xinghao Chen 2024-12-02T08:55:19Z 置信度 0.78 cs.CVcs.AI
• Exposing Assumptions in AI Benchmarks through Cognitive Modelling
  Cultural AI benchmarks often rely on implicit assumptions about measured constructs, leading to vague formulations with poor validity and unclear interrelations. We propose exposing these assumptions using explicit cognitive models formulated as Structural Equ…
  arxiv Jonathan H. Rystrøm, Kenneth C. Enevoldsen 2024-09-25T11:55:02Z 置信度 0.78 cs.AIcs.CL
• Human Preferences for Constructive Interactions in Language Model Alignment
  As large language models (LLMs) enter the mainstream, aligning them to foster constructive dialogue rather than exacerbate societal divisions is critical. Using an individualized and multicultural alignment dataset of over 7,500 conversations of individuals fr…
  arxiv Yara Kyrychenko, Jon Roozenbeek, Brandon Davidson, Sander van der Linden 等 2025-03-05T15:08:41Z 置信度 0.78 cs.HCcs.AIcs.CLcs.CY
• AI of the People, by the People, for the People: A Social Choice Approach to Collective Control of Artificial Intelligence
  With the growing adoption of AI systems, reasoning about how society can exert control over AI becomes an increasingly urgent problem. Existing work on democratic control largely focuses on macro-level governance. In contrast, we propose a new approach grounde…
  arxiv Paul Anton Bachmann, Niclas Boehmer, Lukas Daniel Klausner, Martin Lackner 2026-04-14T07:42:19Z 置信度 0.78 cs.CYcs.AIcs.GT
• Time, Causality, and Observability Failures in Distributed AI Inference Systems
  Distributed AI inference pipelines rely heavily on timestamp-based observability to understand system behavior. This work demonstrates that even small clock skew between nodes can cause observability to become causally incorrect while the system itself remains…
  arxiv Ankur Sharma, Deep Shah, David Lariviere, Hesham ElBakoury 2026-04-23T07:21:45Z 置信度 0.78 cs.AI
• Crypto x AI, AI x Crypto: A Survey
  The intersection of crypto x AI is spawning papers, products, online posts, and companies. All the surrounding buzz, though, obscures what exactly has been done, what the opportunities and challenges are, and what open questions deserve attention. This survey …
  arxiv Sarah Allen, Pranay Anchuri, James Austgen, Maryam Bahrani 等 2026-06-11T20:32:19Z 置信度 0.78 cs.CRcs.AI
• Grounding Value Alignment with Ethical Principles
  An important step in the development of value alignment (VA) systems in AI is understanding how values can interrelate with facts. Designers of future VA systems will need to utilize a hybrid approach in which ethical reasoning and empirical observation interr…
  arxiv Tae Wan Kim, Thomas Donaldson, John Hooker 2019-07-11T18:55:47Z 置信度 0.78 cs.AIcs.CYcs.LG
• Beyond Static Evaluation: A Dynamic Approach to Assessing AI Assistants' API Invocation Capabilities
  With the rise of Large Language Models (LLMs), AI assistants' ability to utilize tools, especially through API calls, has advanced notably. This progress has necessitated more accurate evaluation methods. Many existing studies adopt static evaluation, where th…
  arxiv Honglin Mu, Yang Xu, Yunlong Feng, Xiaofeng Han 等 2024-03-17T07:34:12Z 置信度 0.78 cs.CL
• A conical approximation of constant scalar curvature Kähler metrics of Poincaré type
  Let $(X,L_X)$ be a polarized manifold and $D$ be a smooth hypersurface such that $D \in | L_X |$. In this paper, we show that if there is no nontrivial holomorphic vector field on $D$ and ${\rm Aut}_0 ((X,L_X); D)$ is trivial, then constant scalar curvature Kä…
  arxiv Takahiro Aoi 2022-10-21T10:32:36Z 置信度 0.78 math.DGmath.AGmath.AP
• AI Product Security: A Primer for Developers
  Not too long ago, AI security used to mean the research and practice of how AI can empower cybersecurity, that is, AI for security. Ever since Ian Goodfellow and his team popularized adversarial attacks on machine learning, security for AI became an important …
  arxiv Ebenezer R. H. P. Isaac, Jim Reno 2023-04-18T05:22:34Z 置信度 0.78 cs.CRcs.AI
• The Value of AI Advice: Personalized and Value-Maximizing AI Advisors Are Necessary to Reliably Benefit Experts and Organizations
  Despite advances in AI's performance and interpretability, AI advisors can undermine experts' decisions and increase the time and effort experts must invest to make decisions. Consequently, AI systems deployed in high-stakes settings often fail to consistently…
  arxiv Nicholas Wolczynski, Maytal Saar-Tsechansky, Tong Wang 2024-12-27T08:50:54Z 置信度 0.78 cs.HCcs.LG
• AI Sandbox: Technical Report
  Collaborative AI experimentation across industry and academia requires platforms that enable rapid prototyping while preserving controlled access, tenant separation, and transparent workflows. Despite growing interest in AI sandboxes, there is still limited pr…
  arxiv Muhammad Waseem, Md Aidul Islam, Md Nasir Uddin Shuvo, Md Mahade Hasan 等 2026-08-02T20:51:10Z 置信度 0.78 cs.SEcs.AI
• CodeUltraFeedback: An LLM-as-a-Judge Dataset for Aligning Large Language Models to Coding Preferences
  Evaluating the alignment of large language models (LLMs) with user-defined coding preferences is a challenging endeavour that requires a deep assessment of LLMs' outputs. Existing methods and benchmarks rely primarily on automated metrics and static analysis t…
  arxiv Martin Weyssow, Aton Kamanda, Xin Zhou, Houari Sahraoui 2024-03-14T01:51:35Z 置信度 0.78 cs.SEcs.CLcs.LG
• Is This AI? Longitudinal Analysis of Strategies Used for AI Detection on Two Subreddits
  As AI-generated content (e.g., "slop") becomes more prevalent online, people are developing strategies to attempt to identify it (or, conversely, to gain confidence that something is not AI-generated). What strategies are people using, and how are they changin…
  arxiv Christina Yeung, Galen Weld, Jaron Mink, Franziska Roesner 2026-06-21T22:08:03Z 置信度 0.78 cs.CY
• AI for DevSecOps: A Landscape and Future Opportunities
  DevOps has emerged as one of the most rapidly evolving software development paradigms. With the growing concerns surrounding security in software systems, the DevSecOps paradigm has gained prominence, urging practitioners to incorporate security practices seam…
  arxiv Michael Fu, Jirat Pasuksmit, Chakkrit Tantithamthavorn 2024-04-07T07:24:58Z 置信度 0.78 cs.SEcs.AI
• AI Rules? Characterizing Reddit Community Policies Towards AI-Generated Content
  How are Reddit communities responding to AI-generated content? We explored this question through a large-scale analysis of subreddit community rules and their change over time. We collected the metadata and community rules for over $300,000$ public subreddits …
  arxiv Travis Lloyd, Jennah Gosciak, Tung Nguyen, Mor Naaman 2024-10-15T15:31:41Z 置信度 0.78 cs.CYcs.SI
• Heat conduction in deformable Frenkel-Kontorova lattices: thermal conductivity and negative differential thermal resistance
  Heat conduction through the Frenkel-Kontorova (FK) lattices is numerically investigated in the presence of a deformable substrate potential. It is found that the deformation of the substrate potential has a strong influence on heat conduction. The thermal cond…
  arxiv Bao-quan Ai, Bambi Hu 2011-02-01T09:30:43Z 置信度 0.78 cond-mat.stat-mech
• What Makes an AI Writing Companion a Good Fit? A Personality-Informed Co-Design Study
  The growing popularity of AI writing assistants creates exciting opportunities to support diverse writers. This study examines how personality shapes expectations for AI writing companions and how personality-informed design can enhance human-AI teaming in wri…
  arxiv Mengke Wu, Kexin Quan, Weizi Liu, Mike Yao 等 2026-05-01T21:29:12Z 置信度 0.78 cs.HC
• Leveraging LLMs for User Stories in AI Systems: UStAI Dataset
  AI systems are gaining widespread adoption across various sectors and domains. Creating high-quality AI system requirements is crucial for aligning the AI system with business goals and consumer values and for social responsibility. However, with the uncertain…
  arxiv Asma Yamani, Malak Baslyman, Moataz Ahmed 2025-04-01T08:03:40Z 置信度 0.78 cs.SEcs.AI
• AI and Generative AI for Research Discovery and Summarization
  AI and generative AI tools, including chatbots like ChatGPT that rely on large language models (LLMs), have burst onto the scene this year, creating incredible opportunities to increase work productivity and improve our lives. Statisticians and data scientists…
  arxiv Mark Glickman, Yi Zhang 2024-01-08T18:42:55Z 置信度 0.78 cs.CLcs.AIcs.LG
• AI Hasn't Fixed Teamwork, But It Shifted Collaborative Culture: A Longitudinal Study in a Project-Based Software Development Organization (2023-2025)
  When AI entered the workplace, many believed it could reshape teamwork as profoundly as it boosted individual productivity. Would AI finally ease the longstanding challenges of team collaboration? Our findings suggested a more complicated reality. We conducted…
  arxiv Qing Xiao, Xinlan Emily Hu, Mark E. Whiting, Arvind Karunakaran 等 2025-09-13T19:32:56Z 置信度 0.78 cs.HCcs.CYcs.SE
• Learning Reward and Policy Jointly from Demonstration and Preference Improves Alignment
  Aligning human preference and value is an important requirement for building contemporary foundation models and embodied AI. However, popular approaches such as reinforcement learning with human feedback (RLHF) break down the task into successive stages, such …
  arxiv Chenliang Li, Siliang Zeng, Zeyi Liao, Jiaxiang Li 等 2024-06-11T01:20:53Z 置信度 0.78 cs.AIcs.HCcs.RO
• Thinking Fast and Slow in AI
  This paper proposes a research direction to advance AI which draws inspiration from cognitive theories of human decision making. The premise is that if we gain insights about the causes of some human capabilities that are still lacking in AI (for instance, ada…
  arxiv Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate 等 2020-10-12T20:10:05Z 置信度 0.78 cs.AI
• AI visualization in Nanoscale Microscopy
  Artificial Intelligence & Nanotechnology are promising areas for the future of humanity. While Deep Learning based Computer Vision has found applications in many fields from medicine to automotive, its application in nanotechnology can open doors for new s…
  arxiv Rajagopal A, Nirmala V, Andrew J, Arun Muthuraj Vedamanickam. 2022-01-04T04:04:50Z 置信度 0.78 cs.CVcs.AIcs.HC
• On the Parallels Between Evolutionary Theory and the State of AI
  This article critically examines the foundational principles of contemporary AI methods, exploring the limitations that hinder its potential. We draw parallels between the modern AI landscape and the 20th-century Modern Synthesis in evolutionary biology, and h…
  arxiv Zeki Doruk Erden, Boi Faltings 2025-05-13T22:43:02Z 置信度 0.78 q-bio.NCcs.LGcs.NEnlin.AO
• Emerging AI Approaches for Cancer Spatial Omics
  Technological breakthroughs in spatial omics and artificial intelligence (AI) have the potential to transform the understanding of cancer cells and the tumor microenvironment. Here we review the role of AI in spatial omics, discussing the current state-of-the-…
  arxiv Javad Noorbakhsh, Ali Foroughi pour, Jeffrey Chuang 2025-06-30T13:51:25Z 置信度 0.78 q-bio.QMq-bio.TO
• Risks of AI Scientists: Prioritizing Safeguarding Over Autonomy
  AI scientists powered by large language models have demonstrated substantial promise in autonomously conducting experiments and facilitating scientific discoveries across various disciplines. While their capabilities are promising, these agents also introduce …
  arxiv Xiangru Tang, Qiao Jin, Kunlun Zhu, Tongxin Yuan 等 2024-02-06T18:54:07Z 置信度 0.78 cs.CYcs.AIcs.CLcs.LG
• Player-AI Interaction: What Neural Network Games Reveal About AI as Play
  The advent of artificial intelligence (AI) and machine learning (ML) bring human-AI interaction to the forefront of HCI research. This paper argues that games are an ideal domain for studying and experimenting with how humans interact with AI. Through a system…
  arxiv Jichen Zhu, Jennifer Villareale, Nithesh Javvaji, Sebastian Risi 等 2021-01-15T17:07:03Z 置信度 0.78 cs.HCcs.AI
• Polynomial Precision Dependence Solutions to Alignment Research Center Matrix Completion Problems
  We present solutions to the matrix completion problems proposed by the Alignment Research Center that have a polynomial dependence on the precision $\varepsilon$. The motivation for these problems is to enable efficient computation of heuristic estimators to f…
  arxiv Rico Angell 2024-01-08T16:25:45Z 置信度 0.78 cs.LGcs.AI
• Agentic AI and Multiagentic: Are We Reinventing the Wheel?
  The terms Agentic AI and Multiagentic AI have recently gained popularity in discussions on generative artificial intelligence, often used to describe autonomous software agents and systems composed of such agents. However, the use of these terms confuses these…
  arxiv V. Botti 2025-06-02T09:19:11Z 置信度 0.78 cs.MAcs.AI
• Marketplace for AI Models
  Artificial intelligence shows promise for solving many practical societal problems in areas such as healthcare and transportation. However, the current mechanisms for AI model diffusion such as Github code repositories, academic project webpages, and commercia…
  arxiv Abhishek Kumar, Benjamin Finley, Tristan Braud, Sasu Tarkoma 等 2020-03-03T15:27:30Z 置信度 0.78 cs.CYcs.AI
• AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research
  The recent embrace of machine learning (ML) in the development of autonomous weapons systems (AWS) creates serious risks to geopolitical stability and the free exchange of ideas in AI research. This topic has received comparatively little attention of late com…
  arxiv Riley Simmons-Edler, Ryan Badman, Shayne Longpre, Kanaka Rajan 2024-05-03T05:19:45Z 置信度 0.78 cs.CYcs.AIcs.LGcs.RO
• Understanding the performance gap between online and offline alignment algorithms
  Reinforcement learning from human feedback (RLHF) is the canonical framework for large language model alignment. However, rising popularity in offline alignment algorithms challenge the need for on-policy sampling in RLHF. Within the context of reward over-opt…
  arxiv Yunhao Tang, Daniel Zhaohan Guo, Zeyu Zheng, Daniele Calandriello 等 2024-05-14T09:12:30Z 置信度 0.78 cs.LGcs.AI
• Immersion for AI: Immersive Learning with Artificial Intelligence
  This work reflects upon what Immersion can mean from the perspective of an Artificial Intelligence (AI). Applying the lens of immersive learning theory, it seeks to understand whether this new perspective supports ways for AI participation in cognitive ecologi…
  arxiv Leonel Morgado 2025-02-05T11:51:02Z 置信度 0.78 q-bio.NCcs.AIcs.HC
• The Imbalanced User-AI Relationships as an Ethical Failure of Front-End Design in Healthcare AI
  Ethical discourse on AI in healthcare has focused predominantly on back-end concerns such as bias, fairness and explainability, while the front-end interface, where patients and clinicians actually encounter AI outputs, remains under explored. This paper ident…
  arxiv Maureen Mghambi Mwadime 2026-03-24T17:15:57Z 置信度 0.78 cs.HCcs.AIcs.CY
• From Confounding to Learning: Dynamic Service Fee Pricing on Third-Party Platforms
  We study the pricing behavior of third-party platforms facing strategic agents. Assuming the platform is a revenue maximizer, it observes market features that generally affect demand. Since only transacted quantities and prices can be observed, this presents a…
  arxiv Rui Ai, David Simchi-Levi, Feng Zhu 2025-12-28T02:41:36Z 置信度 0.78 cs.LG
• Alignment Tuning for Large Language Models: A Data-Centric Lens on Alignment Data Pipelines
  Much of the alignment tuning literature is organized around optimization objectives, while the construction of alignment data is often treated implicitly. In this survey, we adopt a data centric perspective and reframe alignment tuning as a pipeline design pro…
  arxiv Hwanjun Song 2026-04-07T10:52:31Z 置信度 0.78 cs.CLcs.AI
• Enhancing Public Speaking Skills in Engineering Students Through AI
  This research-to-practice full paper was inspired by the persistent challenge in effective communication among engineering students. Public speaking is a necessary skill for future engineers as they have to communicate technical knowledge with diverse stakehol…
  arxiv Amol Harsh, Brainerd Prince, Siddharth Siddharth, Deepan Raj Prabakar Muthirayan 等 2025-11-07T05:44:15Z 置信度 0.78 cs.HCcs.AIcs.CL
• Guidelines for Designing AI Technologies to Support Adult Learning
  AI-powered educational technologies have demonstrated measurable benefits for learners, but their design and evaluation have largely centered on K-12 contexts. As a result, many AI-supported learning systems remain poorly aligned with the needs, constraints, a…
  arxiv Jennifer M. Reddig, Glen R. Smith, Sanaz Ahmadzadeh Siyahrood, Wesley G. Morris 等 2026-05-06T08:06:17Z 置信度 0.78 cs.CYcs.AI
• Brain-tuning Improves Generalizability and Efficiency of Brain Alignment in Speech Models
  Pretrained language models are remarkably effective in aligning with human brain responses elicited by natural language stimuli, positioning them as promising model organisms for studying language processing in the brain. However, existing approaches for both …
  arxiv Omer Moussa, Mariya Toneva 2025-10-24T14:42:19Z 置信度 0.78 cs.CL
• Law Informs Code: A Legal Informatics Approach to Aligning Artificial Intelligence with Humans
  We are currently unable to specify human goals and societal values in a way that reliably directs AI behavior. Law-making and legal interpretation form a computational engine that converts opaque human values into legible directives. "Law Informs Code" is the …
  arxiv John J. Nay 2022-09-14T00:49:09Z 置信度 0.78 cs.CYcs.AIcs.LG
• Open-Source Assessments of AI Capabilities: The Proliferation of AI Analysis Tools, Replicating Competitor Models, and the Zhousidun Dataset
  The integration of artificial intelligence (AI) into military capabilities has become a norm for major military power across the globe. Understanding how these AI models operate is essential for maintaining strategic advantages and ensuring security. This pape…
  arxiv Ritwik Gupta, Leah Walker, Eli Glickman, Raine Koizumi 等 2024-05-20T16:51:25Z 置信度 0.78 cs.CY
• How Does the Disclosure of AI Assistance Affect the Perceptions of Writing?
  Recent advances in generative AI technologies like large language models have boosted the incorporation of AI assistance in writing workflows, leading to the rise of a new paradigm of human-AI co-creation in writing. To understand how people perceive writings …
  arxiv Zhuoyan Li, Chen Liang, Jing Peng, Ming Yin 2024-10-06T16:45:33Z 置信度 0.78 cs.CL
• AI Specialization for Pathways of Economic Diversification
  The growth in AI is rapidly transforming the structure of economic production. However, very little is known about how within-AI specialization may relate to broad-based economic diversification. This paper provides a data-driven framework to integrate the int…
  arxiv Saurabh Mishra, Robert Koopman, Giuditta De-Prato, Anand Rao 等 2021-03-19T22:05:20Z 置信度 0.78 cs.CYecon.GN
• AI and Wargaming
  Recent progress in Game AI has demonstrated that given enough data from human gameplay, or experience gained via simulations, machines can rival or surpass the most skilled human players in classic games such as Go, or commercial computer games such as Starcra…
  arxiv James Goodman, Sebastian Risi, Simon Lucas 2020-09-18T16:39:54Z 置信度 0.78 cs.AI
• Exploring Equilibrium Strategies in Network Games with Generative AI
  Game theory offers a powerful framework for analyzing strategic interactions among decision-makers, providing tools to model, analyze, and predict their behavior. However, implementing game theory can be challenging due to difficulties in deriving solutions, u…
  arxiv Yaoqi Yang, Hongyang Du, Geng Sun, Zehui Xiong 等 2024-05-14T03:11:55Z 置信度 0.78 cs.GT
• Realist and Pluralist Conceptions of Intelligence and Their Implications on AI Research
  In this paper, we argue that current AI research operates on a spectrum between two different underlying conceptions of intelligence: Intelligence Realism, which holds that intelligence represents a single, universal capacity measurable across all systems, and…
  arxiv Ninell Oldenburg, Ruchira Dhar, Anders Søgaard 2025-11-19T09:48:07Z 置信度 0.78 cs.AI
• Transport of underdamped active particles in ratchet potentials
  We study the rectified transport of underdamped active noninteracting particles in an asymmetric periodic potential. It is found that the ratchet effect of active noninteracting particles occurs in a single direction (along the easy direction of the substrate …
  arxiv Bao-quan Ai, Feng-guo Li 2017-03-29T11:34:35Z 置信度 0.78 cond-mat.softcond-mat.stat-mech
• Sorting of chiral active particles driven by rotary obstacles
  Sorting of microswimmers based on their mobility properties is of utmost importance for various branches of science and engineering. In this paper, we proposed a novel sorting method, where the mixed chiral particles can be separated by applying two opposite r…
  arxiv Qun Chen, Bao-quan Ai 2016-12-24T13:34:38Z 置信度 0.78 cond-mat.softcond-mat.stat-mech
• Ratchet transport powered by chiral active particles
  We numerically investigate the ratchet transport of mixtures of active and passive particles in a transversal asymmetric channel.A big passive particle is immersed in a 'sea' of active particles. Due to the chirality of active particles, the longitudinal direc…
  arxiv Bao-quan Ai 2016-12-24T13:10:36Z 置信度 0.78 cond-mat.softcond-mat.stat-mech
• Emergent Technology, Emergent Critique: Students and Teachers Developing Critical AI Literacy through Participatory Design around Generative AI
  Who gets to decide how generative AI tools enter students' classrooms? We report on a five-week participatory design program in which three 11th-grade Latinx students and three high school teachers in California negotiated how generative AI tools would be used…
  arxiv Santiago Ojeda-Ramirez, Eva Durall Gazulla, Kylie Peppler 2026-04-23T18:24:06Z 置信度 0.78 cs.HC
• AI in ESG for Financial Institutions: An Industrial Survey
  The burgeoning integration of Artificial Intelligence (AI) into Environmental, Social, and Governance (ESG) initiatives within the financial sector represents a paradigm shift towards more sus-tainable and equitable financial practices. This paper surveys the …
  arxiv Jun Xu 2024-02-03T02:14:47Z 置信度 0.78 cs.CYcs.AIcs.LGq-fin.CP
• Bounded Semantic Planning and Deterministic Compilation for Reliable Enterprise Text-to-SQL
  Direct text-to-SQL asks a language model to do two jobs: interpret the business question and construct the complete relational query. In enterprise schemas, SQL can execute successfully while using the wrong relationship role or aggregation grain. We study an …
  arxiv Yi Ai 2026-08-17T14:54:51Z 置信度 0.78 cs.DBcs.AI
• An Adaptive Responsible AI Governance Framework for Decentralized Organizations
  This paper examines the assessment challenges of Responsible AI (RAI) governance efforts in globally decentralized organizations through a case study collaboration between a leading research university and a multinational enterprise. While there are many propo…
  arxiv Kiana Jafari Meimandi, Anka Reuel, Gabriela Aranguiz-Dias, Hatim Rahama 等 2025-10-03T05:55:48Z 置信度 0.78 cs.CYcs.AI
• Beyond Killer Robots: General AI Attitudes and Public Support for Military AI in Nine Countries
  AI-enabled military systems are a fixture of modern military conflict. Applications vary from autonomous drones for surveillance and attack to AI-supported target selection. The importance of AI for modern conflict shows also in public disputes between governm…
  arxiv Andreas Jungherr, Antonia Schlude, Adrian Rauchfleisch 2026-05-24T17:55:58Z 置信度 0.78 cs.CYcs.AI
• Self-Paced Deep Regression Forests for Facial Age Estimation
  Facial age estimation is an important and challenging problem in computer vision. Existing approaches usually employ deep neural networks (DNNs) to fit the mapping from facial features to age, even though there exist some noisy and confusing samples. We argue …
  arxiv Shijie Ai, Lili Pan, Yazhou Ren 2019-10-08T07:08:45Z 置信度 0.78 cs.CV
• False vacuum decay rates, more precisely
  We develop a method for accurately calculating vacuum decay rates beyond the thin-wall regime in a pure scalar field theory at the one-loop level of the effective action. It accounts for radiative effects resulting from quantum corrections to the classical bou…
  arxiv Wen-Yuan Ai, Jean Alexandre, Sarben Sarkar 2023-12-07T17:57:46Z 置信度 0.78 hep-phastro-ph.COhep-th
• Atlas-Alignment: Making Interpretability Transferable Across Language Models
  Interpretability is crucial for building safe, reliable, and controllable language models, yet existing interpretability pipelines remain costly and difficult to scale. Interpreting a new model typically requires training model-specific components (e.g., spars…
  arxiv Bruno Puri, Jim Berend, Sebastian Lapuschkin, Wojciech Samek 2025-10-31T12:02:54Z 置信度 0.78 cs.LGcs.AIcs.CL
• PrivacyAlign: Contextual Privacy Alignment for LLM Agents
  AI agents acting on behalf of users are constantly making decisions, and for users to trust their agents, those decisions must align with what they actually want. Privacy is an important alignment problem for agents: every message, post, or tool call an agent …
  arxiv Manveer Singh Tamber, Abhay Puri, Marc-Etienne Brunet, Perouz Taslakian 等 2026-06-19T19:50:55Z 置信度 0.78 cs.CLcs.AIcs.IR
• Survey on AI Ethics: A Socio-technical Perspective
  The past decade has observed a significant advancement in AI with deep learning-based models being deployed in diverse scenarios, including safety-critical applications. As these AI systems become deeply embedded in our societal infrastructure, the repercussio…
  arxiv Dave Mbiazi, Meghana Bhange, Maryam Babaei, Ivaxi Sheth 等 2023-11-28T21:00:56Z 置信度 0.78 cs.CYcs.AI
• The urban right to AI: Pluralistic co-design and governance of public space
  Cities are beginning to use AI not only to analyze public space, but also to define what counts as evidence about it. This thesis asks what follows when scores, maps, and generated images become part of municipal decision-making. I argue that contemporary urba…
  arxiv Rashid Mushkani 2026-08-25T02:43:20Z 置信度 0.78 cs.CY
• STRIDE-AI: A Threat Modeling Framework for Generative AI Security Assessment
  Traditional cybersecurity methodologies target deterministic systems and fail to address the probabilistic nature of AI, leaving systems vulnerable to attack vectors such as model inversion, data poisoning, and prompt injection. Recent industry reports indicat…
  arxiv Tsafac Nkombong Regine Cyrille, Franziska Schwarz 2026-05-16T21:27:23Z 置信度 0.78 cs.CRcs.AI
• Genetically Aligned Patient Representations Improve Hematological Diagnosis
  Multimodal alignment of histopathology encoders with transcriptomic and genomic data has been shown to significantly improve performance in downstream diagnostic tasks. Hematological cytology is unique in that visual single-cell evaluation is often paired with…
  arxiv Muhammed Furkan Dasdelen, Fatih Ozlugedik, Ilaria Looser, Rao Muhammad Umer 等 2026-05-28T14:17:31Z 置信度 0.78 cs.CVcs.AIcs.LG
• Combating the "Sameness" in AI Art: Reflections on the Interactive AI Installation Fencing Hallucination
  The article summarizes three types of "sameness" issues in Artificial Intelligence(AI) art, each occurring at different stages of development in AI image creation tools. Through the Fencing Hallucination project, the article reflects on the design of AI art pr…
  arxiv Weihao Qiu, George Legrady 2023-11-28T00:00:34Z 置信度 0.78 cs.CVcs.AI
• Responding to Generative AI Technologies with Research-through-Design: The Ryelands AI Lab as an Exploratory Study
  Generative AI technologies demand new practical and critical competencies, which call on design to respond to and foster these. We present an exploratory study guided by Research-through-Design, in which we partnered with a primary school to develop a construc…
  arxiv Jesse Josua Benjamin, Joseph Lindley, Elizabeth Edwards, Elisa Rubegni 等 2024-05-07T21:34:10Z 置信度 0.78 cs.HCcs.AIcs.CY
• Regulatory Markets for AI Safety
  We propose a new model for regulation to achieve AI safety: global regulatory markets. We first sketch the model in general terms and provide an overview of the costs and benefits of this approach. We then demonstrate how the model might work in practice: resp…
  arxiv Jack Clark, Gillian K. Hadfield 2019-12-11T19:21:54Z 置信度 0.78 cs.CYecon.GN
• Do People Engage Cognitively with AI? Impact of AI Assistance on Incidental Learning
  When people receive advice while making difficult decisions, they often make better decisions in the moment and also increase their knowledge in the process. However, such incidental learning can only occur when people cognitively engage with the information t…
  arxiv Krzysztof Z. Gajos, Lena Mamykina 2022-02-11T01:28:59Z 置信度 0.78 cs.HCcs.AIcs.LG
• Causal Fairness Analysis of ADHD Status and High School STEM Outcomes
  This study applies the Causal Fairness Analysis (CFA) framework of Plecko and Bareinboim (2024) to decompose the total variation in STEM outcomes attributable to ADHD status into direct, indirect, and spurious components using Pearl's Structural Causal Model. …
  arxiv Shuhan Ai 2026-04-12T21:31:13Z 置信度 0.78 stat.AP
• Parallel Thinking, Sequential Answering: Bridging NAR and AR for Efficient Reasoning
  We study reasoning tasks through a framework that integrates auto-regressive (AR) and non-autoregressive (NAR) language models. AR models, which generate text sequentially, excel at producing coherent outputs but often suffer from slow inference, particularly …
  arxiv Qihang Ai, Haiyun Jiang 2025-09-25T04:50:11Z 置信度 0.78 cs.AI
• Which Design Decisions in AI-enabled Mobile Applications Contribute to Greener AI?
  Background: The construction, evolution and usage of complex artificial intelligence (AI) models demand expensive computational resources. While currently available high-performance computing environments support well this complexity, the deployment of AI mode…
  arxiv Roger Creus Castanyer, Silverio Martínez-Fernández, Xavier Franch 2021-09-28T07:30:28Z 置信度 0.78 cs.LGcs.AIcs.SE
• Concrete Problems in AI Safety
  Rapid progress in machine learning and artificial intelligence (AI) has brought increasing attention to the potential impacts of AI technologies on society. In this paper we discuss one such potential impact: the problem of accidents in machine learning system…
  arxiv Dario Amodei, Chris Olah, Jacob Steinhardt, Paul Christiano 等 2016-06-21T13:37:05Z 置信度 0.78 cs.AIcs.LG
• Benchmarks for Physical Reasoning AI
  Physical reasoning is a crucial aspect in the development of general AI systems, given that human learning starts with interacting with the physical world before progressing to more complex concepts. Although researchers have studied and assessed the physical …
  arxiv Andrew Melnik, Robin Schiewer, Moritz Lange, Andrei Muresanu 等 2023-12-17T14:24:03Z 置信度 0.78 cs.AI
• Toward Safe and Responsible AI Agents: A Three-Pillar Model for Transparency, Accountability, and Trustworthiness
  This paper presents a conceptual and operational framework for developing and operating safe and trustworthy AI agents based on a Three-Pillar Model grounded in transparency, accountability, and trustworthiness. Building on prior work in Human-in-the-Loop syst…
  arxiv Edward C. Cheng, Jeshua Cheng, Alice Siu 2026-01-09T07:27:43Z 置信度 0.78 cs.CYcs.AI
• An analysis of HOI: using a training-free method with multimodal visual foundation models when only the test set is available, without the training set
  Human-Object Interaction (HOI) aims to identify the pairs of humans and objects in images and to recognize their relationships, ultimately forming $\langle human, object, verb \rangle$ triplets. Under default settings, HOI performance is nearly saturated, with…
  arxiv Chaoyi Ai 2024-08-11T13:40:02Z 置信度 0.78 cs.CVcs.AI
• "My Boyfriend is AI": A Computational Analysis of Human-AI Companionship in Reddit's AI Community
  The emergence of AI companion applications has created novel forms of intimate human-AI relationships, yet empirical research on these communities remains limited. We present the first large-scale computational analysis of r/MyBoyfriendIsAI, Reddit's primary A…
  arxiv Pat Pataranutaporn, Sheer Karny, Chayapatr Archiwaranguprok, Constanze Albrecht 等 2025-09-14T19:00:40Z 置信度 0.78 cs.HCcs.CY
• Contra generative AI detection in higher education assessments
  This paper presents a critical analysis of generative Artificial Intelligence (AI) detection tools in higher education assessments. The rapid advancement and widespread adoption of generative AI, particularly in education, necessitates a reevaluation of tradit…
  arxiv Cesare G. Ardito 2023-12-08T18:46:44Z 置信度 0.78 cs.CY
• Making AI Intelligible: Philosophical Foundations
  Can humans and artificial intelligences share concepts and communicate? 'Making AI Intelligible' shows that philosophical work on the metaphysics of meaning can help answer these questions. Herman Cappelen and Josh Dever use the externalist tradition in philos…
  arxiv Herman Cappelen, Josh Dever 2024-06-12T12:25:04Z 置信度 0.78 cs.AI
• Bringing AI pipelines onto cloud-HPC: setting a baseline for accuracy of COVID-19 AI diagnosis
  HPC is an enabling platform for AI. The introduction of AI workloads in the HPC applications basket has non-trivial consequences both on the way of designing AI applications and on the way of providing HPC computing. This is the leitmotif of the convergence be…
  arxiv Iacopo Colonnelli, Barbara Cantalupo, Concetto Spampinato, Matteo Pennisi 等 2021-08-02T16:45:00Z 置信度 0.78 cs.DCcs.CVeess.IV
• A4L: An Architecture for AI-Augmented Learning
  AI promises personalized learning and scalable education. As AI agents increasingly permeate education in support of teaching and learning, there is a critical and urgent need for data architectures for collecting and analyzing data on learning, and feeding th…
  arxiv Ashok Goel, Ploy Thajchayapong, Vrinda Nandan, Harshvardhan Sikka 等 2025-05-08T18:47:09Z 置信度 0.78 cs.CYcs.AI
• AI Knowledge Assist: An Automated Approach for the Creation of Knowledge Bases for Conversational AI Agents
  The utilization of conversational AI systems by leveraging Retrieval Augmented Generation (RAG) techniques to solve customer problems has been on the rise with the rapid progress of Large Language Models (LLMs). However, the absence of a company-specific dedic…
  arxiv Md Tahmid Rahman Laskar, Julien Bouvier Tremblay, Xue-Yong Fu, Cheng Chen 等 2025-10-09T12:34:31Z 置信度 0.78 cs.CLcs.AIcs.LG