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• From Generation to Attribution: Music AI Agent Architectures for the Post-Streaming Era
  Generative AI is reshaping music creation, but its rapid growth exposes structural gaps in attribution, rights management, and economic models. Unlike past media shifts, from live performance to recordings, downloads, and streaming, AI transforms the entire li…
  arxiv Wonil Kim, Hyeongseok Wi, Seungsoon Park, Taejun Kim 等 2025-10-23T07:00:29Z 置信度 0.78 cs.IRcs.HCcs.MAcs.SD
• Will AI Trade? A Computational Inversion of the No-Trade Theorem
  Classic no-trade theorems attribute trade to heterogeneous beliefs. We re-examine this conclusion for AI agents, asking if trade can arise from computational limitations, under common beliefs. We model agents' bounded computational rationality within an unfold…
  arxiv Hanyu Li, Xiaotie Deng 2025-12-17T03:55:58Z 置信度 0.78 cs.GTcs.AIecon.TH
• To Generate or Discriminate? Methodological Considerations for Measuring Cultural Alignment in LLMs
  Socio-demographic prompting (SDP) - prompting Large Language Models (LLMs) using demographic proxies to generate culturally aligned outputs - often shows LLM responses as stereotypical and biased. While effective in assessing LLMs' cultural competency, SDP is …
  arxiv Saurabh Kumar Pandey, Sougata Saha, Monojit Choudhury 2026-01-06T09:42:03Z 置信度 0.78 cs.CL
• Evaluating New AI Cell Foundation Models on Challenging Kidney Pathology Cases Unaddressed by Previous Foundation Models
  Accurate cell nuclei segmentation is critical for downstream tasks in kidney pathology and remains a major challenge due to the morphological diversity and imaging variability of renal tissues. While our prior work has evaluated early-generation AI cell founda…
  arxiv Runchen Wang, Junlin Guo, Siqi Lu, Ruining Deng 等 2025-10-01T00:38:36Z 置信度 0.78 q-bio.QMcs.AI
• AnaFlow: Agentic LLM-based Workflow for Reasoning-Driven Explainable and Sample-Efficient Analog Circuit Sizing
  Analog/mixed-signal circuits are key for interfacing electronics with the physical world. Their design, however, remains a largely handcrafted process, resulting in long and error-prone design cycles. While the recent rise of AI-based reinforcement learning an…
  arxiv Mohsen Ahmadzadeh, Kaichang Chen, Georges Gielen 2025-11-05T18:24:01Z 置信度 0.78 cs.LGcs.AIcs.AR
• Proceedings Twentieth Conference on Theoretical Aspects of Rationality and Knowledge
  The TARK conference (Theoretical Aspects of Rationality and Knowledge) is a conference that aims to bring together researchers from a wide variety of fields, including computer science, artificial intelligence, game theory, decision theory, philosophy, logic, …
  arxiv Adam Bjorndahl 2025-11-25T17:41:15Z 置信度 0.78 cs.LOcs.AIcs.GTcs.MA
• Interrogating AI: Characterizing Emergent Playful Interactions with ChatGPT
  In an era of AI's growing capabilities and influences, recent advancements are reshaping HCI and CSCW's view of AI. Playful interactions emerged as an important way for users to make sense of the ever-changing AI technologies, yet remained underexamined. We ta…
  arxiv Mohammad Ronagh Nikghalb, Jinghui Cheng 2024-01-16T14:44:13Z 置信度 0.78 cs.HCcs.AI
• Born a Transformer -- Always a Transformer? On the Effect of Pretraining on Architectural Abilities
  Transformers have theoretical limitations in modeling certain sequence-to-sequence tasks, yet it remains largely unclear if these limitations play a role in large-scale pretrained LLMs, or whether LLMs might effectively overcome these constraints in practice d…
  arxiv Mayank Jobanputra, Yana Veitsman, Yash Sarrof, Aleksandra Bakalova 等 2025-05-27T21:36:50Z 置信度 0.78 cs.LGcs.CL
• Six-Functor Formalisms
  These are lecture notes for a course in Winter 2022/23, updated and completed in October 2025. The goal of the lectures is to present some recent developments around six-functor formalisms, in particular: the abstract theory of 6-functor formalisms; the 2-cate…
  arxiv Peter Scholze 2025-10-30T08:53:27Z 置信度 0.78 math.AGmath.ATmath.CTmath.NT
• The Efficiency Costs of Information Assurance in AI-Enabled Labor Markets: Evidence from LinkedIn's Policy Changes
  Generative artificial intelligence (GenAI) systems rely heavily on user-generated data for training. As governments and platforms impose increasing restrictions on the use of personal data, an important question is whether limiting access to user data for AI t…
  arxiv Lei Chen, Chaoyue Gao, Alvin Leung, Gavin Wang 2025-11-02T05:35:37Z 置信度 0.78 cs.CYecon.GN
• Blockchain-Enabled Explainable AI for Trusted Healthcare Systems
  This paper introduces a Blockchain-Integrated Explainable AI Framework (BXHF) for healthcare systems to tackle two essential challenges confronting health information networks: safe data exchange and comprehensible AI-driven clinical decision-making. Our archi…
  arxiv Md Talha Mohsin 2025-09-18T14:17:19Z 置信度 0.78 cs.CRcs.AIcs.LG
• Toward a Dialogue System Using a Large Language Model to Recognize User Emotions with a Camera
  The performance of ChatGPT© and other LLMs has improved tremendously, and in online environments, they are increasingly likely to be used in a wide variety of situations, such as ChatBot on web pages, call center operations using voice interaction, and dialogu…
  arxiv Hiroki Tanioka, Tetsushi Ueta, Masahiko Sano 2024-08-15T07:03:00Z 置信度 0.78 cs.HCcs.AIcs.RO
• AI Trust Reshaping Administrative Burdens: Understanding Trust-Burden Dynamics in LLM-Assisted Benefits Systems
  Supplemental Nutrition Assistance Program (SNAP) is an essential benefit support system provided by the US administration to 41 million federally determined low-income applicants. Through interviews with such applicants across a diverse set of experiences with…
  arxiv Jeongwon Jo, He Zhang, Jie Cai, Nitesh Goyal 2025-05-28T14:43:55Z 置信度 0.78 cs.HC
• Human to Document, AI to Code: Comparing GenAI for Notebook Competitions
  Computational notebooks have become the preferred tool of choice for data scientists and practitioners to perform analyses and share results. Notebooks uniquely combine scripts with documentation. With the emergence of generative AI (GenAI) technologies, it is…
  arxiv Tasha Settewong, Youmei Fan, Raula Gaikovina Kula, Kenichi Matsumoto 2025-10-21T09:05:54Z 置信度 0.78 cs.SE
• Combined Quantum and Post-Quantum Security for Earth-Satellite Channels
  Experimental deployment of quantum communication over Earth-satellite channels opens the way to a secure global quantum Internet. In this work, we present results from a real-time prototype quantum key distribution (QKD) system, which entails the development o…
  arxiv Anju Rani, Xiaoyu Ai, Aman Gupta, Ravi Singh Adhikari 等 2025-02-20T04:08:23Z 置信度 0.78 quant-phphysics.optics
• A Traditional Approach to Symbolic Piano Continuation
  We present a traditional approach to symbolic piano music continuation for the MIREX 2025 Symbolic Music Generation challenge. While computational music generation has recently focused on developing large foundation models with sophisticated architectural modi…
  arxiv Christian Zhou-Zheng, John Backsund, Dun Li Chan, Alex Coventry 等 2025-09-13T14:22:11Z 置信度 0.78 cs.SDcs.LGcs.MMeess.AS
• Balancing Safety and Helpfulness in Healthcare AI Assistants through Iterative Preference Alignment
  Large Language Models (LLMs) are increasingly used in healthcare, yet ensuring their safety and trustworthiness remains a barrier to deployment. Conversational medical assistants must avoid unsafe compliance without over-refusing benign queries. We present an …
  arxiv Huy Nghiem, Swetasudha Panda, Devashish Khatwani, Huy V. Nguyen 等 2025-12-03T19:30:07Z 置信度 0.78 cs.AIcs.CLcs.CY
• Psycholinguistic Word Features: a New Approach for the Evaluation of LLMs Alignment with Humans
  The evaluation of LLMs has so far focused primarily on how well they can perform different tasks such as reasoning, question-answering, paraphrasing, or translating. For most of these tasks, performance can be measured with objective metrics, such as the numbe…
  arxiv Javier Conde, Miguel González, María Grandury, Gonzalo Martínez 等 2025-05-29T20:56:48Z 置信度 0.78 cs.CLcs.AI
• Hierarchical Alignment-enhanced Adaptive Grounding Network for Generalized Referring Expression Comprehension
  In this work, we address the challenging task of Generalized Referring Expression Comprehension (GREC). Compared to the classic Referring Expression Comprehension (REC) that focuses on single-target expressions, GREC extends the scope to a more practical setti…
  arxiv Yaxian Wang, Henghui Ding, Shuting He, Xudong Jiang 等 2025-01-02T18:57:59Z 置信度 0.78 cs.CV
• Inertia Sensor Aided Alignment for Burst Pipeline in Low Light Conditions
  Merging short-exposure frames can provide an image with reduced noise in low light conditions. However, how best to align images before merging is an open problem. To improve the performance of alignment, we propose an inertia-sensor aided algorithm for smartp…
  arxiv Shuang Zhang, Robert L. Stevenson 2018-11-05T20:04:23Z 置信度 0.78 eess.IV
• VIDEX: A Disaggregated and Extensible Virtual Index for the Cloud and AI Era
  Virtual index, also known as hypothetical indexes, play a crucial role in database query optimization. However, with the rapid advancement of cloud computing and AI-driven models for database optimization, traditional virtual index approaches face significant …
  arxiv Rong Kang, Shuai Wang, Tieying Zhang, Xianghong Xu 等 2025-03-31T06:52:13Z 置信度 0.78 cs.DB
• Aligning AI With Shared Human Values
  We show how to assess a language model's knowledge of basic concepts of morality. We introduce the ETHICS dataset, a new benchmark that spans concepts in justice, well-being, duties, virtues, and commonsense morality. Models predict widespread moral judgments …
  arxiv Dan Hendrycks, Collin Burns, Steven Basart, Andrew Critch 等 2020-08-05T17:59:16Z 置信度 0.78 cs.CYcs.AIcs.CLcs.LG
• BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard Classification
  This paper presents our system developed for the SemEval-2025 Task 9: The Food Hazard Detection Challenge. The shared task's objective is to evaluate explainable classification systems for classifying hazards and products in two levels of granularity from food…
  arxiv Foteini Papadopoulou, Osman Mutlu, Neris Özen, Bas H. M. van der Velden 等 2025-04-29T12:34:28Z 置信度 0.78 cs.CL
• Mind the Trust Gap: Identifying (Mis)alignments in Teacher-Student Views Toward Control and Agency in K-12 Classroom AI
  As Artificial Intelligence (AI)-based technologies have been integrated into school classrooms where multiple stakeholders (with different roles) interact with each other, it is critical to deeply understand stakeholder views in the classroom. In particular, p…
  arxiv Tomohiro Nagashima, Lisa Siegrist, Niklas Scholz, Shintaro Sato 等 2026-07-01T22:09:39Z 置信度 0.78 cs.HC
• RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment
  Automated chest radiographs interpretation requires both accurate disease classification and detailed radiology report generation, presenting a significant challenge in the clinical workflow. Current approaches either focus on classification accuracy at the ex…
  arxiv Difei Gu, Yunhe Gao, Yang Zhou, Mu Zhou 等 2025-01-13T17:55:32Z 置信度 0.78 cs.CVcs.AIcs.LG
• Beyond the Surface: Enhancing LLM-as-a-Judge Alignment with Human via Internal Representations
  The growing scale of evaluation tasks has led to the widespread adoption of automated evaluation using LLMs, a paradigm known as "LLM-as-a-judge". However, improving its alignment with human preferences without complex prompts or fine-tuning remains challengin…
  arxiv Peng Lai, Jianjie Zheng, Sijie Cheng, Yun Chen 等 2025-08-05T15:18:36Z 置信度 0.78 cs.CL
• Towards an Efficient, Customizable, and Accessible AI Tutor
  The integration of large language models (LLMs) into education offers significant potential to enhance accessibility and engagement, yet their high computational demands limit usability in low-resource settings, exacerbating educational inequities. To address …
  arxiv Juan Segundo Hevia, Facundo Arredondo, Vishesh Kumar 2025-10-04T13:33:40Z 置信度 0.78 cs.CY
• SCOR: A Framework for Responsible AI Innovation in Digital Ecosystems
  AI-driven digital ecosystems span diverse stakeholders including technology firms, regulators, accelerators and civil society, yet often lack cohesive ethical governance. This paper proposes a four-pillar framework (SCOR) to embed accountability, fairness, and…
  arxiv Mohammad Saleh Torkestani, Taha Mansouri 2025-09-12T19:29:51Z 置信度 0.78 cs.CYcs.AI
• TAR: Teacher-Aligned Representations via Contrastive Learning for Quadrupedal Locomotion
  Quadrupedal locomotion via Reinforcement Learning (RL) is commonly addressed using the teacher-student paradigm, where a privileged teacher guides a proprioceptive student policy. However, key challenges such as representation misalignment between privileged t…
  arxiv Amr Mousa, Neil Karavis, Michele Caprio, Wei Pan 等 2025-03-26T12:49:26Z 置信度 0.78 cs.ROcs.LGeess.SY
• NoRe: Augmenting Journaling Experience with Generative AI for Music Creation
  Journaling has long been recognized for fostering emotional awareness and self-reflection, and recent advancements in generative AI offer new opportunities to create personalized music that can enhance these practices. In this study, we explore how AI-generate…
  arxiv Joonyoung Park, Hyewon Cho, Hyehyun Chu, Yeeun Lee 等 2025-06-02T07:43:42Z 置信度 0.78 cs.HC
• WIP: Large Language Model-Enhanced Smart Tutor for Undergraduate Circuit Analysis
  This research-to-practice work-in-progress (WIP) paper presents an AI-enabled smart tutor designed to provide homework assessment and feedback for students in an undergraduate circuit analysis course. We detail the tutor's design philosophy and core components…
  arxiv Liangliang Chen, Huiru Xie, Jacqueline Rohde, Ying Zhang 2025-06-10T16:35:45Z 置信度 0.78 cs.CYcs.AIcs.HC
• Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning
  Language models are aligned to the collective voice of many, resulting in generic outputs that do not align with specific users' styles. In this work, we present Trial-Error-Explain In-Context Learning (TICL), a tuning-free method that personalizes language mo…
  arxiv Hyundong Cho, Karishma Sharma, Nicolaas Jedema, Leonardo F. R. Ribeiro 等 2025-02-13T05:20:21Z 置信度 0.78 cs.CLcs.AI
• What Does It Take to Detect an AI Agent? Minimal Feature Sets for Behavioral Detection under Browser Automation
  Bot detectors deployed at scale treat traffic as binary: human or bot. This assumption breaks when AI agents browse the web through browser automation, a traffic class that is neither and that binary classifiers structurally cannot represent. We present a thre…
  arxiv Vishisht Choudhary, Lukas Schmidt, Anne Zoë Kenntner, Feras Skhab 等 2026-07-29T14:05:26Z 置信度 0.78 cs.AIcs.CR
• LeKUBE: A Legal Knowledge Update BEnchmark
  Recent advances in Large Language Models (LLMs) have significantly shaped the applications of AI in multiple fields, including the studies of legal intelligence. Trained on extensive legal texts, including statutes and legal documents, the legal LLMs can captu…
  arxiv Changyue Wang, Weihang Su, Hu Yiran, Qingyao Ai 等 2024-07-19T10:40:10Z 置信度 0.78 cs.CLcs.AI
• When Hallucination Costs Millions: Benchmarking AI Agents in High-Stakes Adversarial Financial Markets
  We present CAIA, a benchmark exposing a critical blind spot in AI evaluation: the inability of state-of-the-art models to operate in adversarial, high-stakes environments where misinformation is weaponized and errors are irreversible. While existing benchmarks…
  arxiv Zeshi Dai, Zimo Peng, Zerui Cheng, Ryan Yihe Li 2025-09-30T22:39:06Z 置信度 0.78 cs.AIcs.CE
• Stages of commissioning alignment for three-mirror anastigmat (TMA) telescopes
  Reliable, autonomously, deployment of telescopes enables a wide range of possible science cases. In this paper, we present a method for multi-stage telescope alignment with a simple commercial imaging sensor. For these studies, we use a design of an example th…
  arxiv Solvay Blomquist, Heejoo Choi, Hyukmo Kang, Hayden Kim 等 2025-08-26T18:00:13Z 置信度 0.78 astro-ph.IMphysics.optics
• Aligned Better, Listen Better for Audio-Visual Large Language Models
  Audio is essential for multimodal video understanding. On the one hand, video inherently contains audio, which supplies complementary information to vision. Besides, video large language models (Video-LLMs) can encounter many audio-centric settings. However, e…
  arxiv Yuxin Guo, Shuailei Ma, Shijie Ma, Xiaoyi Bao 等 2025-04-02T18:47:09Z 置信度 0.78 cs.CVcs.MMcs.SDeess.AS
• Preserving Cultural Identity with Context-Aware Translation Through Multi-Agent AI Systems
  Language is a cornerstone of cultural identity, yet globalization and the dominance of major languages have placed nearly 3,000 languages at risk of extinction. Existing AI-driven translation models prioritize efficiency but often fail to capture cultural nuan…
  arxiv Mahfuz Ahmed Anik, Abdur Rahman, Azmine Toushik Wasi, Md Manjurul Ahsan 2025-03-05T06:43:59Z 置信度 0.78 cs.CLcs.AIcs.CYcs.MA
• Comparing Human and AI Performance in Visual Storytelling through Creation of Comic Strips: A Case Study
  This article presents a case study comparing the capabilities of humans and artificial intelligence (AI) for visual storytelling. We developed detailed instructions to recreate a three-panel Nancy cartoon strip by Ernie Bushmiller and provided them to both hum…
  arxiv Uğur Önal, Sanem Sariel, Metin Sezgin, Ergun Akleman 2025-05-27T20:50:05Z 置信度 0.78 cs.HCcs.CY
• Designing AI-Enabled Games to Support Social-Emotional Learning for Children with Autism Spectrum Disorders
  Children with autism spectrum disorder (ASD) experience challenges in grasping social-emotional cues, which can result in difficulties in recognizing emotions and understanding and responding to social interactions. Social-emotional intervention is an effectiv…
  arxiv Yue Lyu, Pengcheng An, Huan Zhang, Keiko Katsuragawa 等 2024-04-24T00:35:40Z 置信度 0.78 cs.HC
• VPO: Aligning Text-to-Video Generation Models with Prompt Optimization
  Video generation models have achieved remarkable progress in text-to-video tasks. These models are typically trained on text-video pairs with highly detailed and carefully crafted descriptions, while real-world user inputs during inference are often concise, v…
  arxiv Jiale Cheng, Ruiliang Lyu, Xiaotao Gu, Xiao Liu 等 2025-03-26T12:28:20Z 置信度 0.78 cs.CVcs.CLcs.LG
• PROFUSEme: PROstate Cancer Biochemical Recurrence Prediction via FUSEd Multi-modal Embeddings
  Almost 30% of prostate cancer (PCa) patients undergoing radical prostatectomy (RP) experience biochemical recurrence (BCR), characterized by increased prostate specific antigen (PSA) and associated with increased mortality. Accurate early prediction of BCR, at…
  arxiv Suhang You, Carla Pitarch-Abaigar, Sanket Kachole, Sumedh Sonawane 等 2025-09-17T14:54:29Z 置信度 0.78 cs.CV
• Generative Data Augmentation Challenge: Synthesis of Room Acoustics for Speaker Distance Estimation
  This paper describes the synthesis of the room acoustics challenge as a part of the generative data augmentation workshop at ICASSP 2025. The challenge defines a unique generative task that is designed to improve the quantity and diversity of the room impulse …
  arxiv Jackie Lin, Georg Götz, Hermes Sampedro Llopis, Haukur Hafsteinsson 等 2025-01-22T22:04:44Z 置信度 0.78 eess.AScs.SD
• LoL-NMPC: Low-Level Dynamics Integration in Nonlinear Model Predictive Control for Unmanned Aerial Vehicles
  [Accepted to IROS 2025] In this paper, we address the problem of tracking high-speed agile trajectories for Unmanned Aerial Vehicles(UAVs), where model inaccuracies can lead to large tracking errors. Existing Nonlinear Model Predictive Controller(NMPC) methods…
  arxiv Parakh M. Gupta, Ondřej Procházka, Jan Hřebec, Matej Novosad 等 2025-06-02T18:55:03Z 置信度 0.78 cs.RO
• From Sycophantic Consensus to Pluralistic Repair: Why AI Alignment Must Surface Disagreement
  Pluralistic alignment is typically operationalised as preference aggregation: producing responses that span (Overton), steer toward (Steerable), or proportionally represent (Distributional) diverse human values. We argue that aggregation alone is an incomplete…
  arxiv Varad Vishwarupe, Nigel Shadbolt, Marina Jirotka 2026-05-14T14:47:06Z 置信度 0.78 cs.AIcs.CYcs.HCcs.LG
• When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class
  Open-source pre-trained models hold great potential for diverse applications, but their utility declines when their training data is unavailable. Data-Free Image Synthesis (DFIS) aims to generate images that approximate the learned data distribution of a pre-t…
  arxiv Yujin Kim, Hyunsoo Kim, Hyunwoo J. Kim, Suhyun Kim 2025-06-18T11:51:40Z 置信度 0.78 cs.CV
• Creative and Correct: Requesting Diverse Code Solutions from AI Foundation Models
  AI foundation models have the capability to produce a wide array of responses to a single prompt, a feature that is highly beneficial in software engineering to generate diverse code solutions. However, this advantage introduces a significant trade-off between…
  arxiv Scott Blyth, Markus Wagner, Christoph Treude 2024-03-20T02:51:46Z 置信度 0.78 cs.SE
• Assessing the Sensitivity and Alignment of FOL Closeness Metrics
  The recent successful paradigm of solving logical reasoning problems with tool-augmented large language models (LLMs) leverages translation of natural language (NL) statements into First-Order Logic~(FOL) and external theorem provers. However, the correctness …
  arxiv Ramya Keerthy Thatikonda, Wray Buntine, Ehsan Shareghi 2025-01-15T06:22:35Z 置信度 0.78 cs.CL
• An Ensemble-Based Two-Step Framework for Classification of Pap Smear Cell Images
  Early detection of cervical cancer is crucial for improving patient outcomes and reducing mortality by identifying precancerous lesions as soon as possible. As a result, the use of pap smear screening has significantly increased, leading to a growing demand fo…
  arxiv Theo Di Piazza, Loic Boussel 2025-03-13T12:46:23Z 置信度 0.78 eess.IVcs.CV
• Beyond Surface Alignment: Grounding the Dynamics of Situational Understanding and Generative Control in LLMs
  The current alignment tuning paradigm for Large Language Models (LLMs) prioritizes surface-level behaviors -- fluency, safety, and tonal consistency. While effective for casual chat, this thesis argues that such surface alignment masks a lack of grounding, cre…
  arxiv Chenghao Yang 2026-08-30T07:04:03Z 置信度 0.78 cs.CL
• Towards Large-Scale Training of Pathology Foundation Models
  Driven by the recent advances in deep learning methods and, in particular, by the development of modern self-supervised learning algorithms, increased interest and efforts have been devoted to build foundation models (FMs) for medical images. In this work, we …
  arxiv kaiko. ai, Nanne Aben, Edwin D. de Jong, Ioannis Gatopoulos 等 2024-03-24T21:34:36Z 置信度 0.78 cs.CVcs.LG
• ylmmcl at Multilingual Text Detoxification 2025: Lexicon-Guided Detoxification and Classifier-Gated Rewriting
  In this work, we introduce our solution for the Multilingual Text Detoxification Task in the PAN-2025 competition for the ylmmcl team: a robust multilingual text detoxification pipeline that integrates lexicon-guided tagging, a fine-tuned sequence-to-sequence …
  arxiv Nicole Lai-Lopez, Lusha Wang, Su Yuan, Liza Zhang 2025-07-24T19:38:15Z 置信度 0.78 cs.CLcs.LG
• Model-Guided Dual-Role Alignment for High-Fidelity Open-Domain Video-to-Audio Generation
  We present MGAudio, a novel flow-based framework for open-domain video-to-audio generation, which introduces model-guided dual-role alignment as a central design principle. Unlike prior approaches that rely on classifier-based or classifier-free guidance, MGAu…
  arxiv Kang Zhang, Trung X. Pham, Suyeon Lee, Axi Niu 等 2025-10-28T06:16:47Z 置信度 0.78 cs.SDcs.AIcs.MMeess.AS
• A Comprehensive Graph Framework for Question Answering with Mode-Seeking Preference Alignment
  Recent advancements in retrieval-augmented generation (RAG) have enhanced large language models in question answering by integrating external knowledge. However, challenges persist in achieving global understanding and aligning responses with human ethical and…
  arxiv Quanwei Tang, Sophia Yat Mei Lee, Junshuang Wu, Dong Zhang 等 2025-06-22T09:08:44Z 置信度 0.78 cs.CL
• How to Catch a GPU: A Taxonomy of Verification and Enforcement Mechanisms for International AI Agreements
  Several international agreements have been proposed to regulate frontier AI development in response to catastrophic risks. However, there is no structured way to evaluate whether these proposals are enforceable, to assess where they might fail in practice, or …
  arxiv Raymond Koopmanschap, Otto Barten 2026-06-16T10:51:52Z 置信度 0.78 cs.CY
• Prompting Generative AI with Interaction-Augmented Instructions
  The emergence of generative AI (GenAI) models, including large language models and text-to-image models, has significantly advanced the synergy between humans and AI with not only their outstanding capability but more importantly, the intuitive communication m…
  arxiv Leixian Shen, Haotian Li, Yifang Wang, Xing Xie 等 2025-03-04T18:55:19Z 置信度 0.78 cs.HC
• Generating Synthetic Relational Tabular Data via Structural Causal Models
  Synthetic tabular data generation has received increasing attention in recent years, particularly with the emergence of foundation models for tabular data. The breakthrough success of TabPFN (Hollmann et al.,2025), which leverages vast quantities of synthetic …
  arxiv Frederik Hoppe, Astrid Franz, Lars Kleinemeier, Udo Göbel 2025-07-04T12:27:23Z 置信度 0.78 cs.LGcs.AIstat.AP
• Terminal Is All You Need: Design Properties for Human-AI Agent Collaboration
  While research on AI agents focuses on enabling them to operate graphical user interfaces, the most effective and widely adopted agent tools in practice are terminal-based. We argue that this convergence is not coincidental. It reflects three design properties…
  arxiv Alexandre De Masi 2026-03-11T11:24:31Z 置信度 0.78 cs.HC
• Multi-Modal AI for Remote Patient Monitoring in Cancer Care
  For patients undergoing systemic cancer therapy, the time between clinic visits is full of uncertainties and risks of unmonitored side effects. To bridge this gap in care, we developed and prospectively trialed a multi-modal AI framework for remote patient mon…
  arxiv Yansong Liu, Ronnie Stafford, Pramit Khetrapal, Huriye Kocadag 等 2025-11-30T16:01:50Z 置信度 0.78 cs.LGcs.AI
• Diffusion-NPO: Negative Preference Optimization for Better Preference Aligned Generation of Diffusion Models
  Diffusion models have made substantial advances in image generation, yet models trained on large, unfiltered datasets often yield outputs misaligned with human preferences. Numerous methods have been proposed to fine-tune pre-trained diffusion models, achievin…
  arxiv Fu-Yun Wang, Yunhao Shui, Jingtan Piao, Keqiang Sun 等 2025-05-16T13:38:23Z 置信度 0.78 cs.CV
• Epistemic Trade-Off: An Analysis of the Operational Breakdown and Ontological Limits of "Certainty-Scope" in AI
  The recently published "certainty-scope" conjecture offers a compelling insight into the inherent trade-off present within artificial intelligence (AI) systems. As general research, this investigation remains vital as a philosophical undertaking and a potentia…
  arxiv Generoso Immediato 2025-08-26T05:47:21Z 置信度 0.78 cs.CYcs.AIcs.CE
• Warehouse Spatial Question Answering with LLM Agent
  Spatial understanding has been a challenging task for existing Multi-modal Large Language Models~(MLLMs). Previous methods leverage large-scale MLLM finetuning to enhance MLLM's spatial understanding ability. In this paper, we present a data-efficient approach…
  arxiv Hsiang-Wei Huang, Jen-Hao Cheng, Kuang-Ming Chen, Cheng-Yen Yang 等 2025-07-14T20:05:55Z 置信度 0.78 cs.CVcs.AI
• Multimodal Disease Progression Modeling via Spatiotemporal Disentanglement and Multiscale Alignment
  Longitudinal multimodal data, including electronic health records (EHR) and sequential chest X-rays (CXRs), is critical for modeling disease progression, yet remains underutilized due to two key challenges: (1) redundancy in consecutive CXR sequences, where st…
  arxiv Chen Liu, Wenfang Yao, Kejing Yin, William K. Cheung 等 2025-10-13T08:02:36Z 置信度 0.78 cs.CV
• TRACE: AI-Assisted Assessment of Collaborative Projects in Computer Science Education
  Collaborative group projects are integral to computer science education, fostering teamwork, problem-solving, and industry-relevant skills. However, assessing individual contributions within group settings remains challenging. Traditional approaches, including…
  arxiv Songmei Yu, Andrew Zagula 2025-10-05T02:16:52Z 置信度 0.78 cs.HCcs.AIcs.CY
• ReviewerToo: Should AI Join The Program Committee? A Look At The Future of Peer Review
  Peer review is the cornerstone of scientific publishing, yet it suffers from inconsistencies, reviewer subjectivity, and scalability challenges. We introduce ReviewerToo, a modular framework for studying and deploying AI-assisted peer review to complement huma…
  arxiv Gaurav Sahu, Hugo Larochelle, Laurent Charlin, Christopher Pal 2025-10-09T23:53:19Z 置信度 0.78 cs.AIcs.CL
• Adoption and Effectiveness of AI-Based Anomaly Detection for Cross Provider Health Data Exchange
  This study investigates the adoption and effectiveness of AI-based anomaly detection in cross-provider electronic health record (EHR) environments. It aims to (1) identify the organisational and digital capabilities required for successful implementation and (…
  arxiv Cao Tram Anh Hoang 2026-03-19T15:22:02Z 置信度 0.78 cs.CYcs.AI
• Harden and Catch for Just-in-Time Assured LLM-Based Software Testing: Open Research Challenges
  Despite decades of research and practice in automated software testing, several fundamental concepts remain ill-defined and under-explored, yet offer enormous potential real-world impact. We show that these concepts raise exciting new challenges in the context…
  arxiv Mark Harman, Peter O'Hearn, Shubho Sengupta 2025-04-23T07:32:43Z 置信度 0.78 cs.SEcs.AI
• Legacy Modernization with AI -- Mainframe modernization
  Artificial Intelligence-assisted legacy modernization is essential in changing the stalwart mainframe systems of the past into flexible, scalable, and smart architecture. While mainframes are generally dependable, they can be difficult to maintain due to their…
  arxiv Sunil Khemka, Arunava Majumdar 2025-12-05T02:24:52Z 置信度 0.78 cs.SE
• Psychological Factors Influencing University Students Trust in AI-Based Learning Assistants
  Artificial intelligence (AI) based learning assistants and chatbots are increasingly integrated into higher education. While these tools are often evaluated in terms of technical performance, their successful and ethical use also depends on psychological facto…
  arxiv Ezgi Dağtekin, Ercan Erkalkan 2025-12-19T09:44:43Z 置信度 0.78 cs.HCcs.CY
• Stakeholder Participation for Responsible AI Development: Disconnects Between Guidance and Current Practice
  Responsible AI (rAI) guidance increasingly promotes stakeholder involvement (SHI) during AI development. At the same time, SHI is already common in commercial software development, but with potentially different foci. This study clarifies the extent to which e…
  arxiv Emma Kallina, Thomas Bohné, Jat Singh 2025-06-11T15:43:07Z 置信度 0.78 cs.SEcs.AIcs.HC
• Teaming in the AI Era: AI-Augmented Frameworks for Forming, Simulating, and Optimizing Human Teams
  Effective teamwork is essential across diverse domains.During the team formation stage, a key challenge is forming teams that effectively balance user preferences with task objectives to enhance overall team satisfaction.In the team performing stage, maintaini…
  openalex Mohammed Almutairi 2025-06-13 置信度 0.72 Computer scienceAugmented realityArtificial intelligence
• Revolutionizing Newcomers’ Onboarding Process in OSS Communities: The Future AI Mentor
  Onboarding newcomers is vital for the sustainability of open-source software (OSS) projects. To lower barriers and increase engagement, OSS projects have dedicated experts who provide guidance for newcomers. However, timely responses are often hindered by expe…
  openalex Xin Tan, Xiao Long, Yinghao Zhu, Lin Shi 等 2025-06-19 置信度 0.72 OnboardingProcess (computing)MentorshipKnowledge managementComputer science
• Educational Artificial Intelligence, Child Rights, and Human Care in Early Childhood
  This article examines the use of artificial intelligence (AI) in early childhood education from a rights-based perspective, drawing on a critical interpretive synthesis (CIS) of the literature published between 2019 and 2025. A typology of four uses in early c…
  openalex Rocío García Peinado 2025-09-18 置信度 0.72 NormativeEarly childhoodHuman rightsEquity (law)Human development (humanity)
• AI-Driven Circular Waste Management Tool for Enhancing Circular Economy Practices in Healthcare Facilities
  The increasing complexity in hospital waste management requires innovative solutions that integrate sustainability and regulatory compliance. This study proposes an AI-based decision tool to support the circular management of healthcare waste. The approach com…
  openalex Maria Assunta Cappelli, E Cappelli, Francesco Cappelli 2025-08-27 置信度 0.72 Circular economyHealth careBusinessEngineeringEconomics
• The TESCREAL bundle: Eugenics and the promise of utopia through artificial general intelligence
  The stated goal of many organizations in the field of artificial intelligence (AI) is to develop artificial general intelligence (AGI), an imagined system with more intelligence than anything we have ever seen. Without seriously questioning whether such a syst…
  openalex Timnit Gebru, Émile P. Torres 2024-04-14 置信度 0.72 EugenicsUtopiaDystopiaTranshumanismArtificial intelligence
• Digital Technologies and Sustainable Development: Evidence from FinTech, AI, and Blockchain Adoption in G20 Economies
  In the wake of rapid digital transformation, emerging technologies like FinTech, AI, and Blockchain are reimagining how countries pursue sustainable development. This study examines how FinTech adoption, Artificial Intelligence (AI) readiness, and Blockchain a…
  openalex Nesrine Gafsi, Amina Hamdouni, Aida Smaoui 2026-03-04 置信度 0.72 BlockchainSustainabilityEmerging marketsSustainable developmentBusiness
• A Survey of AI-Enabled Predictive Maintenance for Railway Infrastructure: Models, Data Sources, and Research Challenges
  Rail transport is central to achieving sustainable and energy-efficient mobility, and its digitalization is accelerating the adoption of condition-based maintenance (CBM) strategies. However, existing maintenance practices remain largely reactive or rely on li…
  openalex Francisco Javier Bris-Peñalver, Randy Verdecia-Peña, José I. Alonso 2026-01-30 置信度 0.72 Asset managementStandardizationAsset (computer security)EngineeringEnabling
• AI protocol for retrieving protein dynamic structures from two-dimensional infrared spectra
  Understanding the dynamic evolution of protein structures is crucial for uncovering their biological functions. Yet, real-time prediction of these dynamic structures remains a significant challenge. Two-dimensional infrared (2DIR) spectroscopy is a powerful to…
  openalex Sheng Ye, Lvshuai Zhu, Zhicheng Zhao, Fan Wu 等 2025-02-14 置信度 0.72 Protein dynamicsComputer scienceBiological systemFolding (DSP implementation)Protein folding
• Initial indications of generative AI writing in linguistics research publications
  Generative AI and large language models (LLMs), such as ChatGPT, have transformed many working practices, including scientific writing. However, writing styles between LLMs and scientists have been found to differ, particularly in terms of word frequencies. Us…
  openalex Elouise Botes, Jean‐Marc Dewaele, Joanne Colling, Ziwen Teuber 2025-08-07 置信度 0.72 PrestigeGenerative grammarTransparency (behavior)LinguisticsPublishing
• Algorithm aversion revisited: The role of AI literacy and attitudes towards AI in shaping perceptions of AI ‐generated texts
  Abstract Scientific publications on AI education frequently express concerns that students at all educational levels, lacking sufficient AI literacy, may become passive learners due to the use of generative language models and blindly trust AI outputs. Concurr…
  openalex Matthias Carl Laupichler, Nils Knoth, Johannes Schleiss, Tobias Raupach 2025-12-01 置信度 0.72 CredibilityModerationPerceptionAffect (linguistics)Literacy
• The Erosion of Cybersecurity Zero-Trust Principles Through Generative AI: A Survey on the Challenges and Future Directions
  Generative artificial intelligence (AI) and persistent empirical gaps are reshaping the cyber threat landscape faster than Zero-Trust Architecture (ZTA) research can respond. We reviewed 10 recent ZTA surveys and 136 primary studies (2022–2024) and found that …
  openalex Dan Xu, Iqbal Gondal, Xun Yi, Teo Sušnjak 等 2025-10-15 置信度 0.72 ExploitContext (archaeology)Computer securityAdversarial systemComputer science
• Generative AI in an Educational Technology Course for Pre-Service Mechanical Engineering Educators: A Case Study
  This study explores the integration of Generative Artificial Intelligence (GenAI) tools into an Educational Technology course designed for pre-service Mechanical Engineering educators. The course was redesigned to incorporate GenAI tools within the Learning by…
  openalex Maria Moundridou, Nikolaos Matzakos 2025-01-01 置信度 0.72 Generative grammarCourse (navigation)Service-learningMathematics educationService (business)
• AI-powered analysis of ESG disclosure: a clustering approach to determinants and motivations
  Abstract The main aim of this study is to explore the determinants of corporate ESG reporting, and to highlight the various factors, determinants and motivations likely to explain the adoption of ESG reporting by entities operating in different contexts. Using…
  openalex Ouissal El Aziz, Abdelkarim Asdiou 2025-08-11 置信度 0.72 Context (archaeology)Cluster analysisCorporate governanceThematic analysisComputer science
• Empathy by Design: Reframing the Empathy Gap Between AI and Humans in Mental Health Chatbots
  Artificial intelligence (AI) chatbots are now embedded across therapeutic contexts, from the United Kingdom’s National Health Service (NHS) Talking Therapies to widely used platforms like ChatGPT. Whether welcomed or not, these systems are increasingly used fo…
  openalex Alastair Howcroft, Holly Blake 2025-12-04 置信度 0.72 EmpathyCognitive reframingNarrativePsychologyMental health
• Using collective dialogues and AI to find common ground between Israeli and Palestinian peacebuilders
  A growing body of work has shown that AI-assisted methodsleveraging large language models, social choice methods, and collective dialogues -can help navigate polarization and surface common ground in controlled lab settings.But what can these approaches contri…
  openalex Andrew Konya, Luke Thorburn, Wasim Almasri, Oded Adomi Leshem 等 2025-06-23 置信度 0.72 Common groundComputer scienceArtificial intelligenceSociologyCommunication
• Building Symbiotic Artificial Intelligence: Reviewing the AI Act for a Human-Centred, Principle-Based Framework
  Abstract Artificial Intelligence (AI) spreads quickly as new technologies and services take over modern society. The need to regulate AI design, development, and use is strictly necessary to avoid unethical and potentially dangerous consequences to humans. The…
  openalex Miriana Calvano, Antonio Curci, Giuseppe Desolda, Andrea Esposito 等 2025-11-18 置信度 0.72 Applications of artificial intelligencePhilosophy of sciencePerspective (graphical)Computer scienceEngineering ethics
• A systematic mapping review at the intersection of artificial intelligence and self-regulated learning
  Abstract Recently, artificial intelligence (AI) has increasingly been integrated into self-regulated learning (SRL), presenting novel pathways to support SRL. While AI-SRL research has experienced rapid growth, there remains a significant gap in understanding …
  openalex Seyyed Kazem Banihashem, Melissa Bond, Nina Bergdahl, Hassan Khosravi 等 2025-07-31 置信度 0.72 Self-regulated learningMetacognitionPersonalizationScopusProfiling (computer programming)
• Integrating Generative AI in Academic Assessments: Practical Recommendations on AI Usage and Enhancing Knowledge Sharing
  This article presents two strategies for integrating GenAI into assessments: the first strategy involves using the GenAI Integration Rubric to guide ethical AI usage, while the second strategy focuses on the Experimentation Outcome Template to document lessons…
  openalex Varun Gupta, Abel Nyamapfene 2025-01-28 置信度 0.72 Generative grammarComputer scienceKnowledge managementKnowledge sharingData science
• FROM DATA TO DECISION: HOW AI AND FINTECH DRIVE DIGITAL TRANSFORMATION IN RURAL ENTREPRENEURSHIP
  This study presents a systematic literature review (SLR) examining how Artificial Intelligence (AI) and Financial Technology (FinTech) drive digital transformation in rural entrepreneurship. Based on 20 peer-reviewed studies published between 2020 and 2025, th…
  openalex Dhiptya Ratri Anggraheni, Udkhiati Mawaddah 2025-11-17 置信度 0.72 Digital transformationFinancial inclusionBusinessSustainabilityHuman capital
• Web based AI-driven framework combining multi-modal data with CNN and LLM for Parkinson’s disease diagnosis
  Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by a wide spectrum of motor and non-motor symptoms, often leading to delayed or inaccurate diagnosis. Conventional diagnostic methods frequently suffer from limited sensitivity,…
  openalex S. Priyadharshini, K. Ramkumar, K. Narasimhan, V. B. Surya Prasath 等 2025-11-04 置信度 0.72 InterpretabilityComputer scienceArtificial intelligenceConvolutional neural networkPreprocessor
• The future of AI in government services and global risks: insights from design fictions
  Abstract The evolution of government services in the context of Artificial Intelligence (AI) and its long-term implications are relevant topics impacting society. Developments in this area are surrounded by controversies about what is technically possible, wha…
  openalex Pedro Nascimento, Paloma Beatriz Belchior de Siqueira, Nathalia Chrispim, Ramon Chaves 等 2025-06-19 置信度 0.72 Transparency (behavior)AccountabilityGovernment (linguistics)Corporate governanceFutures contract
• The imitation game: large language models versus multidisciplinary tumor boards: benchmarking AI against 21 sarcoma centers from the ring trial
  PURPOSE: The study aims to compare the treatment recommendations generated by four leading large language models (LLMs) with those from 21 sarcoma centers' multidisciplinary tumor boards (MTBs) of the sarcoma ring trial in managing complex soft tissue sarcoma …
  openalex Cheng‐Peng Li, Aimé Terence Kalisa, Siyer Roohani, Kamal Hummedah 等 2025-09-10 置信度 0.72 MedicineImitationBenchmarkingMultidisciplinary approachReferral
• AI-Powered Personalization in ESP: Enhancing Learner Autonomy and Engagement in English for Professional Contexts
  The educational landscape has been greatly transformed by recent advances in Artificial Intelligence (AI) to facilitate highly personalized and adaptive learning environments. Personalization is particularly important in English for Specific Purposes (ESP) whe…
  openalex Nur Syazwanie Mansor 2025-12-03 置信度 0.72 PersonalizationTransformative learningAutonomyAdaptation (eye)Learner autonomy
• Application of Artificial Intelligence In Drug-target Interactions Prediction: A Review
  Predicting drug-target interactions (DTI) is a complex task. With the introduction of artificial intelligence (AI) methods such as machine learning and deep learning, AI-based DTI prediction can significantly enhance speed, reduce costs, and screen potential d…
  openalex Qian Liao, Yu Zhang, Ying Chu, Yi Ding 等 2025-01-13 置信度 0.72 DrugArtificial intelligenceComputer scienceDrug targetMachine learning
• Transforming education: tackling the two sigma problem with AI in journal clubs – a proof of concept
  INTRODUCTION: Journal clubs are integral to continuing medical education, promoting critical thinking and evidence-based learning. However, inconsistent engagement, reliance on faculty expertise, and the complexity of research articles can limit their effectiv…
  openalex Fahad Umer, Nighat Naved, Azra Naseem, Ayesha Mansoor 等 2025-05-08 置信度 0.72 Journal clubAutomatic summarizationComputer scienceUsabilityPsychology
• Artificial intelligence, extended reality, and emerging AI–XR integrations in medical education
  Introduction: Artificial intelligence (AI) and extended reality (XR)-including virtual, augmented, and mixed reality-are increasingly adopted in health-professions education. However, the educational impact of AI, XR, and especially their combined use within i…
  pubmed Talía Tene, DIEGO FABIÁN VIQUE LOPEZ, Marlene Jacqueline García Veloz, Byron Stalin Rojas Oviedo 等 2025 置信度 0.82 Generalizability theoryCertaintyLimit (mathematics)Medical educationPsychological intervention
• An Explainable AI Framework for Corneal Imaging Interpretation and Refractive Surgery Decision Support
  This study introduces an explainable neuro-symbolic and large language model (LLM)-driven framework for intelligent interpretation of corneal topography and precision surgical decision support. In a prospective cohort of 20 eyes, comprehensive IOLMaster 700 re…
  openalex Han Wang 2025-10-28 置信度 0.72 KeratoconusComputer scienceArtificial intelligenceInferenceInference engine
• APPLICATIONS AND IMPACTS OF AI TOOLS IN EDUCATION
  ABSTACT - Artificial Intelligence (AI) is being woven rapidly into the fabric of contemporary education, prompting a reevaluation of established pedagogical models. This monograph assesses the diverse applications and consequences of AI technologies in academi…
  openalex Ashwathi Karunattu Kiran 2025-07-24 置信度 0.72 Computer scienceSystems engineeringEngineering
• Exploring the role of large language models in the scientific method: from hypothesis to discovery
  Abstract We review how Large Language Models (LLMs) are redefining the scientific method and explore their potential applications across different stages of the scientific cycle, from hypothesis testing to discovery. We conclude that, for LLMs to serve as rele…
  openalex Yanbo Zhang, Sumeer Ahmad Khan, A. K. M. Firoj Mahmud, Huck Yang 等 2025-08-05 置信度 0.72 Scientific discoveryComputer sciencePsychologyData scienceCognitive science
• AI in Education - Evaluating ChatGPT as a Virtual Teaching Assistant
  This research paper presents a comprehensive review of recent literature to examine the positive and negative aspects, as well as the limitations, of utilizing ChatGPT in academic contexts. The study includes conversational interactions with ChatGPT to evaluat…
  openalex Kavita Agarwal - 2023-07-19 置信度 0.72 Ethical issuesEngineering ethicsPsychologyComputer scienceKnowledge management