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• Usage of GPUs for ALICE Run 3 Offline Reconstruction on the GRID
  ALICE, the dedicated heavy ion experiment at the LHC, records Pb-Pb collisions at an interaction rate of up to 50 kHz. It was the first LHC experiment to leverage GPUs for online data processing during LHC Runs 1 and 2, and its Run 3 online data processing is …
  arxiv David Rohr for the ALICE Collaboration 2026-08-12T09:03:24Z 置信度 0.78 physics.ins-det
• FinGround: Detecting and Grounding Financial Hallucinations via Atomic Claim Verification
  Financial AI systems must produce answers grounded in specific regulatory filings, yet current LLMs fabricate metrics, invent citations, and miscalculate derived quantities. These errors carry direct regulatory consequences as the EU AI Act's high-risk enforce…
  arxiv Dongxin Guo, Jikun Wu, Siu Ming Yiu 2026-04-26T07:52:59Z 置信度 0.78 cs.AIcs.CLcs.IR
• Towards Context-Invariant Safety Alignment for Large Language Models
  Preference-based post-training aligns LLMs with human intent, yet safety behavior often remains brittle. A model may refuse a harmful request in a standard prompt but comply when the same intent is wrapped in adversarial wording. We suggest that robust safety …
  arxiv Yixu Wang, Yang Yao, Xin Wang, Yifeng Gao 等 2026-05-20T10:33:11Z 置信度 0.78 cs.CLcs.AI
• Asymmetric Trust Effects of Corrective AI in Expert Advisory Workflows under Epistemic Dependence
  The increasing integration of AI-powered tools into expert workflows, such as medicine, law, and finance, raises a critical question: how does AI involvement influence a user`s trust in the human expert, the AI system, and the human-AI team? This question is e…
  arxiv Dennis Kim, Roya Daneshi, Bruce Draper, Sarath Sreedharan 2026-02-12T03:31:05Z 置信度 0.78 cs.HC
• PSK at SemEval-2026 Task 9: Multilingual Polarization Detection Using Ensemble Gemma Models with Synthetic Data Augmentation
  We present our system for SemEval-2026 Task 9: Multilingual Polarization Detection, a binary classification task spanning 22 languages. Our approach fine-tunes separate Gemma~3 models (12B and 27B parameters) per language using Low-Rank Adaptation (LoRA), augm…
  arxiv Srikar Kashyap Pulipaka 2026-05-06T17:29:14Z 置信度 0.78 cs.CLcs.AIcs.LG
• Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation
  Despite significant advances in Medical Report Generation (MRG), the reliability remains constrained by the prevalence of factual errors. While Direct Preference Optimization (DPO) has emerged as a promising post-training paradigm to enhance the performance of…
  arxiv Qiang Hu, Yuxuan Luo, Yingjie Guo, Hao Wang 等 2026-08-09T05:29:42Z 置信度 0.78 cs.CV
• Proceedings of the 2nd Workshop on Advancing Artificial Intelligence through Theory of Mind
  This volume includes a selection of papers presented at the 2nd Workshop on Advancing Artificial Intelligence through Theory of Mind held at AAAI 2026 in Singapore on 26th January 2026. The purpose of this volume is to provide an open access and curated anthol…
  arxiv Nitay Alon, Joseph M. Barnby, Reuth Mirsky, Stefan Sarkadi 2026-03-19T11:35:46Z 置信度 0.78 cs.AI
• Thinking at the Right Size: Amortized Distillation Across Post-Trained LLMs
  Practical deployment of large language models (LLMs) requires families of post-trained variants---instruction-tuned, reasoning-tuned, and chat-style models---each at multiple sizes to meet diverse latency and memory budgets. Producing each (variant, size) pair…
  arxiv Yan Zhou, Sara Kangaslahti, Jonathan Geuter, Nihal V. Nayak 等 2026-08-24T06:36:32Z 置信度 0.78 cs.LG
• The 17% Gap: Quantifying Epistemic Decay in AI-Assisted Survey Papers
  The adoption of Large Language Models (LLMs) in scientific writing promises efficiency but risks introducing informational entropy. While "hallucinated papers" are a known artifact, the systematic degradation of valid citation chains remains unquantified. We c…
  arxiv H. Kemal İlter 2026-01-24T12:00:55Z 置信度 0.78 cs.CYcs.AIcs.CLcs.DL
• Navigating Global AI Regulation: A Multi-Jurisdictional Retrieval-Augmented Generation System
  Navigating AI regulation across jurisdictions is increasingly difficult for policymakers, legal professionals, and researchers. To address this, we present a multi-jurisdictional Retrieval-Augmented Generation system for global AI regulation. Our corpus includ…
  arxiv Courtney Ford, Ojas Rane, Susan Leavy 2026-04-28T09:58:18Z 置信度 0.78 cs.CL
• Organizational Practices and Socio-Technical Design of Human-Centered AI
  This contribution explores how the integration of Artificial Intelligence (AI) into organizational practices can be effectively framed through a socio-technical perspective to comply with the requirements of Human-centered AI (HCAI). Instead of viewing AI mere…
  arxiv Thomas Herrmann 2026-01-29T10:13:15Z 置信度 0.78 cs.HC
• The Hot Mess of AI: How Does Misalignment Scale With Model Intelligence and Task Complexity?
  As AI becomes more capable, we entrust it with more general and consequential tasks. The risks from failure grow more severe with increasing task scope. It is therefore important to understand how extremely capable AI models will fail: Will they fail by system…
  arxiv Alexander Hägele, Aryo Pradipta Gema, Henry Sleight, Ethan Perez 等 2026-01-30T14:52:03Z 置信度 0.78 cs.AI
• The CUSP CubeSat mission for space weather multi-physics analysis, design, and testing
  The CUbesat Solar Polarimeter (CUSP) mission aims to measure the linear polarization of solar flares in the hard X-ray band by means of a Compton scattering polarimeter. CUSP is a project in the framework of the Alcor Program of the Italian Space Agency aimed …
  arxiv Giovanni Lombardi, Riccardo Di Spirito, Sergio Fabiani, Daniele Censi 等 2026-07-31T10:36:34Z 置信度 0.78 astro-ph.IMastro-ph.SRphysics.space-ph
• LMPAN: A Lightweight Multi-Path Alignment Network for Joint Full-Duplex Acoustic Echo Cancellation and Noise Suppression
  We propose a lightweight multi-path alignment network (LMPAN) for on-device joint acoustic echo cancellation (AEC) and noise suppression (NS) in full-duplex spoken dialogue systems. To address hardware-induced distortions and dynamic acoustic conditions, we in…
  arxiv Chengwei Liu, Shaofei Xue, Haoyin Yan, Xiaotao Liang 等 2026-07-02T11:40:03Z 置信度 0.78 eess.AS
• Cross-modal Fuzzy Alignment Network for Text-Aerial Person Retrieval and A Large-scale Benchmark
  Text-aerial person retrieval aims to identify targets in UAV-captured images from eyewitness descriptions, supporting intelligent transportation and public security applications. Compared to ground-view text--image person retrieval, UAV-captured images often s…
  arxiv Yifei Deng, Chenglong Li, Yuyang Zhang, Guyue Hu 等 2026-03-21T09:02:44Z 置信度 0.78 cs.CV
• Enabling Real-Time AI in O-RAN: Deploying and Measuring AI Inside a Near-RT RIC xApp
  Open Radio Access Network (O-RAN) architectures introduce programmable Near-Real-Time RAN Intelligent Controllers (Near-RT RICs) that support closed-loop control through xApps at timescales from 10 ms to 1 s. Although AI has been widely studied for RAN optimiz…
  arxiv Lawrence Obiuwevwi, Krzysztof J. Rechowicz, Sampath Jayarathna, Safdar Hussain Bouk 等 2026-07-02T01:28:03Z 置信度 0.78 cs.NI
• RASR: Range-Aware Scale Recovery for Metric UAV Navigation
  A central challenge in image-goal UAV navigation under Global Navigation Satellite System (GNSS) denial is estimating metric distance and heading between current and goal views. Dense pairwise geometry models capture relative scene structure, but without a cal…
  arxiv Hongtao Liang, Xinyu Shao, Chenxu Wang, Yiyao Wan 等 2026-07-10T04:54:26Z 置信度 0.78 cs.ROcs.CV
• DVMap: Fine-Grained Pluralistic Value Alignment via High-Consensus Demographic-Value Mapping
  Current Large Language Models (LLMs) typically rely on coarse-grained national labels for pluralistic value alignment. However, such macro-level supervision often obscures intra-country value heterogeneity, yielding a loose alignment. We argue that resolving t…
  arxiv Pengyun Zhu, Yuqi Ren, Zhen Wang, Lei Yang 等 2026-05-14T06:06:43Z 置信度 0.78 cs.AI
• Learning Adaptive Distribution Alignment with Neural Characteristic Function for Graph Domain Adaptation
  Graph Domain Adaptation (GDA) transfers knowledge from labeled source graphs to unlabeled target graphs but is challenged by complex, multi-faceted distributional shifts. Existing methods attempt to reduce distributional shifts by aligning manually selected gr…
  arxiv Wei Chen, Xingyu Guo, Shuang Li, Zhao Zhang 等 2026-02-11T03:48:04Z 置信度 0.78 cs.LGcs.AI
• VLM-Guided Group Preference Alignment for Diffusion-based Human Mesh Recovery
  Human mesh recovery (HMR) from a single RGB image is inherently ambiguous, as multiple 3D poses can correspond to the same 2D observation. Recent diffusion-based methods tackle this by generating various hypotheses, but often sacrifice accuracy. They yield pre…
  arxiv Wenhao Shen, Hao Wang, Wanqi Yin, Fayao Liu 等 2026-02-22T13:19:06Z 置信度 0.78 cs.CV
• AI-Powered Citation Auditing: A Zero-Assumption Protocol for Systematic Reference Verification in Academic Research
  Academic citation integrity faces persistent challenges, with research indicating 20% of citations contain errors and manual verification requiring months of expert time. This paper presents a novel AI-powered methodology for systematic, comprehensive referenc…
  arxiv L. J. Janse van Rensburg 2025-10-17T16:53:03Z 置信度 0.78 cs.DLcs.AIcs.CY
• SemiGDA: Generative Dual-distribution Alignment for Semi-Supervised Medical Image Segmentation
  Semi-supervised learning addresses label scarcity and high annotation costs in medical image segmentation by exploiting the latent information in unlabeled data to enhance model performance. Traditional discriminative segmentation relies on segmentation masks,…
  arxiv Kaiwen Huang, Yi Zhou, Yizhe Zhang, Jingxiong Li 等 2026-04-25T12:37:01Z 置信度 0.78 cs.CV
• CIRCLE: A Framework for Evaluating AI from a Real-World Lens
  This paper proposes CIRCLE, a six-stage, lifecycle-based framework to bridge the reality gap between model-centric performance metrics and AI's materialized outcomes in deployment. Current approaches such as MLOps frameworks and AI model benchmarks offer detai…
  arxiv Reva Schwartz, Carina Westling, Morgan Briggs, Marzieh Fadaee 等 2026-02-27T14:43:23Z 置信度 0.78 cs.AIcs.SE
• On-board AI-based Channel Estimation for LEO NTNs
  Artificial Intelligence(AI) methods have shown strong channel estimation performance in terrestrial networks, but they typically rely on substantial computational resources. As 6G moves toward a unified architecture that will include Non-Terrestrial Networks (…
  arxiv Mahdi Abdollahpour, Bruno De Filippo, Carla Amatetti, Alessandro Vanelli-Coralli 2026-07-16T15:37:07Z 置信度 0.78 eess.SP
• Mitigating the Safety-utility Trade-off in LLM Alignment via Adaptive Safe Context Learning
  While reasoning models have achieved remarkable success in complex reasoning tasks, their increasing power necessitates stringent safety measures. For safety alignment, the core challenge lies in the inherent trade-off between safety and utility. However, prev…
  arxiv Yanbo Wang, Minzheng Wang, Jian Liang, Lu Wang 等 2026-02-14T02:37:36Z 置信度 0.78 cs.CRcs.AIcs.CL
• "It Became My Buddy, But I'm Not Afraid to Disagree": A Multi-Session Study of UX Evaluators Collaborating with Conversational AI Assistants
  AI-assisted usability analysis can potentially reduce the time and effort of finding usability problems, yet little is known about how AI's perceived expertise influences evaluators' analytic strategies and perceptions over time. We ran a within-subjects, five…
  arxiv Emily Kuang, Ehsan Jahangirzadeh Soure, Luyao Shen, Nitesh Goyal 等 2026-03-14T02:49:54Z 置信度 0.78 cs.HC
• Coloring the Noise: Adversarial Sobolev Alignment for Faithful Image Super Resolution
  Generative priors in Image Super-Resolution (SR) often compromise faithful restoration, we attribute this limitation to a fundamental spectral misalignment between isotropic objectives and the intrinsic natural image manifold. While Direct Preference Optimizat…
  arxiv Hongbo Wang, Huaibo Huang, Pin Wang, Jinhua Hao 等 2026-05-22T06:06:51Z 置信度 0.78 cs.CVcs.AI
• Co-Writing with AI: An Empirical Study of Diverse Academic Writing Workflows
  Despite AI tools becoming increasingly embedded in academic practice, little is known about how university students integrate them into their writing processes. We examine how students engage with AI across different writing tasks, and how this engagement is s…
  arxiv Silvia Bodei, Duncan P. Brumby, Katie Fisher, Jon Mella 2026-04-28T09:00:48Z 置信度 0.78 cs.HCcs.AI
• Alternating Bi-Objective Optimization for Explainable Neuro-Fuzzy Systems
  Fuzzy systems show strong potential in explainable AI due to their rule-based architecture and linguistic variables. Existing approaches navigate the accuracy-explainability trade-off either through evolutionary multi-objective optimization (MOO), which is com…
  arxiv Qusai Khaled, Uzay Kaymak, Laura Genga 2026-02-22T16:08:06Z 置信度 0.78 cs.LGcs.NE
• Harnessing the Collective Intelligence of AI Agents in the Wild for New Discoveries
  Scientific discovery is often a collective process: researchers share partial results, inspect failed attempts, and build on each other's ideas over long time horizons. Recent AI systems have shown that language-model-based agents can make meaningful progress …
  arxiv Federico Bianchi, Yongchan Kwon, Aneesh Pappu, James Zou 2026-06-09T04:25:28Z 置信度 0.78 cs.CLcs.AI
• Hearing Like Humans? Sound Symbolism and Perceptual Alignment in Speech Language Models
  Sound symbolism, the human tendency to map speech sounds to perceptual qualities such as roundness or sharpness, arises primarily from the acoustics of speech rather than spelling. Whether Speech Language Models (SLMs) share this tendency remains open, as prio…
  arxiv Yun-Shao Tsai, Chun-Wei Chen, Chee-En Yu, Yi-Cheng Lin 等 2026-07-11T06:55:40Z 置信度 0.78 eess.AScs.CL
• Catch the Patient, Not the AI: Collective Sensemaking in an Online Health Community
  Patients and caregivers increasingly use artificial intelligence (AI) tools to interpret medical reports, weigh care decisions, and seek emotional support. Yet most research treats patient-facing AI as a private exchange between a user and a system. This study…
  arxiv Feng He 2026-07-01T04:32:51Z 置信度 0.78 cs.HC
• PriMod4AI: Lifecycle-Aware Privacy Threat Modeling for AI Systems using LLM
  Artificial intelligence systems introduce complex privacy risks throughout their lifecycle, especially when processing sensitive or high-dimensional data. Beyond the seven traditional privacy threat categories defined by the LINDDUN framework, AI systems are a…
  arxiv Gautam Savaliya, Robert Aufschläger, Abhishek Subedi, Michael Heigl 等 2026-02-04T08:58:19Z 置信度 0.78 cs.CRcs.AI
• Reasoning Hijacking: The Fragility of Reasoning Alignment in Large Language Models
  Current LLM safety research predominantly focuses on mitigating Goal Hijacking, preventing attackers from redirecting a model's high-level objective (e.g., from "summarizing emails" to "phishing users"). In this paper, we argue that this perspective is incompl…
  arxiv Yuansen Liu, Yixuan Tang, Anthony Kum Hoe Tun 2026-01-15T11:12:08Z 置信度 0.78 cs.CR
• Agentic Physical-AI for Self-Aware RF Systems
  Intelligent control of RF transceivers adapting to dynamic operational conditions is essential in the modern and future communication systems. We propose a multi-agent neurosymbolic AI system, where AI agents are assigned for circuit components. Agents have an…
  arxiv Linuka Ratnayake, Danidu Dabare, Sanuja Rupasinghe, Warren Jayakumar 等 2026-03-21T07:30:05Z 置信度 0.78 eess.SPcs.MA
• POCA: Pareto-Optimal Curriculum Alignment for Visual Text Generation
  Current visual text generation models struggle with the trade-off between text accuracy and overall image coherence. We find that achieving high text accuracy can reduce aesthetic quality and instruction-following capability. Although reinforcement learning ap…
  arxiv Yaohou Fan, Qingzhong Wang, Yongsong Huang, Junyi Liu 等 2026-04-27T08:29:52Z 置信度 0.78 cs.CV
• Optimal Union Probability Interval Is NP-Hard
  A problem dating back to Boole [Laws of Thought, Walton & Maberly,1854] is what can be computed about the probability of a finite union of events when given as input the probabilities of intersections of some of the events. The modern geometric study of th…
  arxiv Petteri Kaski, Heikki Mannila, Chandra Kanta Mohapatra 2026-05-05T09:28:06Z 置信度 0.78 cs.CCmath.COmath.PR
• Diarization-Guided Qwen-ASR Adaptation for Multilingual Two-Speaker Conversational Speech
  This paper describes our self-designed system for Task 1 of the MLC-SLM 2026 Challenge for multilingual two-speaker conversational speech. The system combines a modular speaker diarization front end with a challenge-adapted Qwen3-ASR-1.7B recognizer. The diari…
  arxiv Hao Wu, RongQi Han, Zhen Wang, Wei Liang 等 2026-07-09T08:07:34Z 置信度 0.78 cs.CL
• Regulatory compliance-readiness in the AI Supply Chain: examining datasets in Hugging Face
  A very large number of datasets are made available via Hugging Face (HF). These datasets are used to train a vast number of AI models, also available via HF. There are regulatory issues that might arise in the AI supply chain when those datasets do not follow,…
  arxiv Georgia M. Kapitsaki 2026-07-03T13:27:34Z 置信度 0.78 cs.SE
• Lecture Notes on Symmetry Reduction via the Dressing Field Method
  These notes - prepared for the conference school "Foundations of General-Relativistic Gauge Field Theory", held on March 17-19, 2026 at the Politecnico di Torino - present introductory material on symmetry reduction in general-relativistic Gauge Field Theory (…
  arxiv L. Ravera 2026-03-31T09:47:08Z 置信度 0.78 hep-thgr-qc
• AI and My Values: User Perceptions of LLMs' Ability to Extract, Embody, and Explain Human Values from Casual Conversations
  Does AI understand human values? While this remains an open philosophical question, we take a pragmatic stance by introducing VAPT, the Value-Alignment Perception Toolkit, for studying how LLMs reflect people's values and how people judge those reflections. 20…
  arxiv Bhada Yun, Renn Su, April Yi Wang 2026-01-30T01:19:54Z 置信度 0.78 cs.HCcs.AIcs.CL
• From Preventive to Reactive: How AI Coding Assistants Transform Developers' Security Awareness
  AI coding assistants are now central to professional software development, yet their impact on how developers think about and practice security remains poorly understood. While prior work has documented vulnerability rates in AI-generated code, a more fundamen…
  arxiv Faisal Haque Bappy, Tahrim Hossain, Sidratul Muntaher Meheraj, Annoor Sharara Akhand 等 2026-05-22T01:07:15Z 置信度 0.78 cs.HCcs.CR
• A Multi-Layer AI Framework for Information Landscape Analysis
  This paper proposes a multi-layer AI framework for information landscape analysis in the context of information disorder. Rather than treating misinformation detection as a binary fact-checking task, the framework analyzes political and media content across mu…
  arxiv Maryam Fooladi, Federico Bottino 2026-05-22T16:02:45Z 置信度 0.78 cs.CYcs.AI
• The Role of Feedback Alignment in Self-Distillation
  Conditioning a language model on additional context, such as feedback on a previous attempt, typically improves its response. Self-distillation trains the model to retain this improvement when the context is not present. The method works by matching the model'…
  arxiv Semih Kara, Oğuzhan Ersoy 2026-06-09T17:50:09Z 置信度 0.78 cs.AIcs.LG
• NIRVANA: A Comprehensive Dataset for Reproducing How Students Use Generative AI for Essay Writing
  With the rapid adoption of AI writing assistants in education, educators and researchers need empirical evidence to understand the impact on student writing and inform effective pedagogical design. Despite widespread use, we lack systematic understanding of ho…
  arxiv Andrew Jelson, Daniel Manesh, Sangwook Lee, Alice Jang 等 2026-04-08T17:56:20Z 置信度 0.78 cs.HC
• DA-Mamba: Learning Domain-Aware State Space Model for Global-Local Alignment in Domain Adaptive Object Detection
  Domain Adaptive Object Detection (DAOD) aims to transfer detectors from a labeled source domain to an unlabeled target domain. Existing DAOD methods employ multi-granularity feature alignment to learn domain-invariant representations. However, the local connec…
  arxiv Haochen Li, Rui Zhang, Hantao Yao, Xin Zhang 等 2026-03-19T11:09:53Z 置信度 0.78 cs.CV
• AlphaOracle: Oracle bone script decipherment via human-workflow-inspired deep learning
  Approximately 3,000 of the 4,500 oracle bone script (OBS) characters remain undeciphered due to fragmentary inscriptions and sparse evidence. Current AI approaches fail to replicate expert workflows that integrate form analysis, contextual semantics, and philo…
  arxiv Yuliang Liu, Haisu Guan, Pengjie Wang, Xinyu Wang 等 2026-07-20T11:46:00Z 置信度 0.78 cs.HCcs.CLcs.CV
• Gradient-Guided Reward Optimization for Inference-time Alignment
  Ensuring the reliability of Large Language Models (LLMs) under distribution drift requires inference-time adaptation. While inference-time alignment methods such as Best-of-$N$ and rejection sampling are widely used, they frame the task as a sampling-intensive…
  arxiv Hankun Lin, Ruqi Zhang 2026-06-08T15:33:13Z 置信度 0.78 cs.CLcs.LG
• Digital hybridity and relics in cultural heritage: using corpus linguistics to inform design in emerging technologies from AI to VR
  Hybrid technologies enable the blending of physical and digital elements, creating new ways to experience and interact with the world. Such technologies can transform engagement with relics, both secular and sacred but they present challenges for capturing fai…
  arxiv Emma McClaughlin, Glenn McGarry, Alan Chamberlain, Geert De Wilde 等 2026-04-01T17:16:01Z 置信度 0.78 cs.HCcs.AIcs.CLcs.CYcs.DL
• Adaptive Querying with AI Persona Priors
  We study adaptive querying for learning user-dependent quantities of interest, such as responses to held-out items and psychometric indicators, within tight query budgets. Classical Bayesian design and computerized adaptive testing typically rely on restrictiv…
  arxiv Kaizheng Wang, Yuhang Wu, Assaf Zeevi 2026-05-01T14:34:25Z 置信度 0.78 stat.MLcs.CLcs.LG
• PAST-TIDE: Prototype-Anchored Statement Tuning with Topic-Invariant Normalization for Stance Detection
  We introduce PAST-TIDE, our stance detection system addressing both subtasks of the StanceNakba Shared Task at NakbaNLP@LREC-COLING 2026. The main idea is statement tuning. We redefine stance as cloze-style masked language modeling (MLM), letting a verbalizer …
  arxiv Md. Shakhoyat Rahman Shujon, MD Jahid Hasan Jim, Md. Milon Islam, Md Rezwanul Haque 等 2026-07-06T05:33:27Z 置信度 0.78 cs.CLcs.LG
• Characterizing the Quality Profile of AI-Generated C++ in Production
  The widespread integration of AI coding assistants offers undeniable boosts to engineering velocity. Yet, recent studies point to a growing trade-off, revealing persistent challenges with code quality and maintainability. Industry leaders, including frontier A…
  arxiv Michael Tran, Fred Lewis, Kun Yang, Saksham Thakur 等 2026-08-06T23:15:55Z 置信度 0.78 cs.SEcs.AI
• AIReSim: A Discrete Event Simulator for Large-scale AI Cluster Reliability Modeling
  Failures in clusters running large-scale AI workloads can result in decreased utilization. Because the cost of a failure in such AI workloads is high (as it requires restarting the entire job from a previous checkpoint), there are many mechanisms in place to e…
  arxiv Karthik Pattabiraman, Mihir Patel, Fred Lin 2026-03-07T05:25:53Z 置信度 0.78 cs.DC
• Using predictive multiplicity to measure individual performance within the AI Act
  When building AI systems for decision support, one often encounters the phenomenon of predictive multiplicity: a single best model does not exist; instead, one can construct many models with similar overall accuracy that differ in their predictions for individ…
  arxiv Karolin Frohnapfel, Mara Seyfert, Sebastian Bordt, Ulrike von Luxburg 等 2026-02-12T13:40:00Z 置信度 0.78 cs.LGcs.CY
• Addendum to: Bounds for survival probabilities in supercritical Galton-Watson processes and applications to population genetics
  In this addendum we extend Theorem 4.6 on the negative binomial distribution in `Bounds for survival probabilities in supercritical Galton-Watson processes and applications to population genetics' (Journal of Mathematical Biology 92:40, 2026; arXiv:2503.21403)…
  arxiv Reinhard Bürger 2026-04-06T16:47:46Z 置信度 0.78 math.PR
• Fleet: Few Shots Lead Effective AI-generated Image Detection
  AI-generated image (AIGI) detection is undergoing a critical transition from laboratory benchmarks to open-world adversarial defense. The prevalent paradigm focuses on finding static feature spaces, assuming that some invariant artifacts learned from historica…
  arxiv Jiaan Wang, Sirui Liu, Yu Li, Kaiyuan Yang 等 2026-06-30T03:15:52Z 置信度 0.78 cs.CV
• A Comparative Study in Surgical AI: Potential and Limitations of Data, Compute, and Scaling
  Recent Artificial Intelligence (AI) models have matched or exceeded human experts in several benchmarks of biomedical task performance, but surgical benchmarks in particular are often missing from prominent medical benchmark suites. Since surgery requires inte…
  arxiv Kirill Skobelev, Eric Fithian, Yegor Baranovski, Jack Cook 等 2026-03-28T17:18:40Z 置信度 0.78 cs.AIcs.CVcs.LG
• Chaplains' Reflections on the Design and Usage of AI for Conversational Care
  Despite growing recognition that responsible AI requires domain knowledge, current work on conversational AI primarily draws on clinical expertise that prioritises diagnosis and intervention. However, much of everyday emotional support needs occur in non-clini…
  arxiv Joel Wester, Samuel Rhys Cox, Henning Pohl, Niels van Berkel 2026-02-03T21:04:49Z 置信度 0.78 cs.HCcs.CL
• AG-REPA: Causal Layer Selection for Representation Alignment in Audio Flow Matching
  REPresentation Alignment (REPA) improves the training of generative flow models by aligning intermediate hidden states with pretrained teacher features, but its effectiveness in token-conditioned audio Flow Matching critically depends on the choice of supervis…
  arxiv Pengfei Zhang, Tianxin Xie, Minghao Yang, Li Liu 2026-03-01T09:16:46Z 置信度 0.78 cs.SDcs.AIcs.LGcs.MM
• Do Models Fake Alignment Without Clear Consequences?
  Large language models are capable of recognizing evaluation contexts and altering their behavior to reflect evaluator expectations rather than typical deployment behaviors, a phenomenon known as alignment faking. The reasons why models fake alignment are not f…
  arxiv Cole Alexander Niblett, Alexander Chabot Nanni, Anita K. Rao 2026-05-28T21:28:39Z 置信度 0.78 cs.AI
• BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models
  Recent years have seen a rapid surge in research leveraging Large Language Models (LLMs) for recommendation. These methods typically employ supervised fine-tuning (SFT) to adapt LLMs to recommendation scenarios, and utilize beam search during inference to effi…
  arxiv Weiqin Yang, Bohao Wang, Zhenxiang Xu, Jiawei Chen 等 2026-01-30T12:45:02Z 置信度 0.78 cs.IRcs.AIcs.LG
• Generalization Limits of Reinforcement Learning Alignment
  The safety of large language models (LLMs) relies on alignment techniques such as reinforcement learning from human feedback (RLHF). However, recent theoretical analyses suggest that reinforcement learning-based training does not acquire new capabilities but m…
  arxiv Haruhi Shida, Koo Imai, Keigo Kansa 2026-04-03T02:32:13Z 置信度 0.78 cs.LGcs.AI
• Temperature as a Meta-Policy: Adaptive Temperature in LLM Reinforcement Learning
  Temperature is a crucial hyperparameter in large language models (LLMs), controlling the trade-off between exploration and exploitation during text generation. High temperatures encourage diverse but noisy outputs, while low temperatures produce focused output…
  arxiv Haoran Dang, Cuiling Lan, Hai Wan, Xibin Zhao 等 2026-02-12T09:59:58Z 置信度 0.78 cs.LG
• Instrumental Text-to-Music Generation with Auxiliary Conditioning Branches
  Text-to-music generation has advanced rapidly, with modern autoregressive and diffusion-based models producing convincing music from natural-language prompts. However, much of this progress relies on large-scale training data and external pretraining, making i…
  arxiv Junyoung Koh 2026-05-20T17:23:58Z 置信度 0.78 cs.SD
• Cognitive Warfare, Hybrid Pressure, and Sovereign Resilience: An Operations Research Framework Applied to the Iranian Case (2017--2026)
  A defending state facing sustained economic, media, and psychological pressure from an adversary that continuously re-optimises its campaign poses a problem that existing attacker-defender models in operations research do not directly resolve, because they tre…
  arxiv Rahimeh Neamatian Monemi, Shahin Gelareh, Nelson Maculan 2026-07-02T08:45:26Z 置信度 0.78 math.OC
• Toward Clinically Dependable AI for Brain Tumors: A Unified Diagnostic–Prognostic Framework and Triadic Evaluation Model
  Artificial intelligence (AI) has shown promising performance in brain tumor diagnosis and prognosis; however, most reported advances remain difficult to translate into clinical practice due to limited interpretability, inconsistent evaluation protocols, and we…
  openalex Mohammed A. Atiea, Mona Gafar, Shahenda Sarhan, Abdullah M. Shaheen 2026-01-27 置信度 0.72 InterpretabilityGeneralizability theoryComputer scienceArtificial intelligenceGeneralization
• Comparison of AI-assisted and human-generated plain language summaries for Cochrane reviews: a randomised non-inferiority trial (HIET-1) [Registered Report - stage II]
  Objectives To compare the comprehension, readability, quality, safety, and trustworthiness of artificial intelligence (AI)-assisted vs human-generated plain language summaries (PLSs) for Cochrane systematic reviews. Study Design Randomized, parallel-group, two…
  openalex Declan Devane, Johanna Pope, Paula Byrne, Evan Forde 等 2025-12-16 置信度 0.72 Plain languageReadabilityMedicineComprehensionMEDLINE
• A Pan-Lyssavirus Taqman Real-Time RT-PCR Assay for the Detection of Highly Variable Rabies virus and Other Lyssaviruses
  Rabies, resulting from infection by Rabies virus (RABV) and related lyssaviruses, is one of the most deadly zoonotic diseases and is responsible for up to 70,000 estimated human deaths worldwide each year. Rapid and accurate laboratory diagnosis of rabies is e…
  openalex Ashutosh Wadhwa, Kimberly Wilkins, Jinxin Gao, Rene Edgar Condori 等 2017-01-12 置信度 0.72 RabiesLyssavirusRabies virusVirologyTaqMan
• Empowering Teacher Candidates of Mexican Descent: Adapting AI for Science of Teaching Reading in the Southwestern United States
  Exploring the transformative potential of artificial intelligence (AI) in teacher education, the present study investigates its role in equipping teacher candidates with the skills to succeed in literacy instruction for Science of Teaching Reading (STR) certif…
  openalex Heriberto Godina 2025-01-01 置信度 0.72 Reading (process)Mathematics educationDescent (aeronautics)PsychologyPedagogy
• Do AI Models Dream of Faster Code? An Empirical Study on LLM-Proposed Performance Improvements in Real-World Software
  Large Language Models (LLMs) can generate code, but can they generate fast code for complex, real-world software systems? In this study, we investigate this question using a dataset of 65 tasks mined from performance-critical open-source Java projects. Unlike …
  openalex Yi Lin, Gregory Gay, Philipp Leitner 2025-10-17 置信度 0.72 BenchmarkingBaseline (sea)Computer sciencePipeline (software)Code (set theory)
• Fatal End of a Safety Algorithm for Pulmonary Vein Isolation With Use of High-Intensity Focused Ultrasound
  BACKGROUND: High-intensity focused ultrasound (HIFU) can achieve pulmonary vein isolation (PVI), but there are safety concerns after severe complications. Therefore, we evaluated an esophageal temperature (ET)-guided safety algorithm to apply HIFU safely. METH…
  openalex Kars Neven, Boris Schmidt, Andreas Metzner, Kiyoshi Otomo 等 2010-05-27 置信度 0.72 MedicineAblationPulmonary veinAtrial fibrillationPericardial effusion
• Innovative coastal management: leveraging AI and satellite imagery for monitoring urban and port environments within the OCEANIDS project
  Coastal cities and ports play a crucial role in global trade, urban development, and environmental sustainability, but they are increasingly facing challenges related to climate change, urbanization, and complex operational demands. Within the framework of the…
  openalex Eirini Marinou, Efthymios Magkoufis, Christos Kontopoulos, Vasiliki Charalampopoulou 2025-09-19 置信度 0.72 Satellite imageryRemote sensingPort (circuit theory)Environmental scienceSatellite
• Natural Products from Herbal Medicine Self‐Assemble into Advanced Bioactive Materials
  Novel biomaterials are becoming more crucial in treating human diseases. However, many materials require complex artificial modifications and synthesis, leading to potential difficulties in preparation, side effects, and clinical translation. Recently, signifi…
  openalex Xiaohang Guo, Weikang Luo, Lingyu Wu, Lianglin Zhang 等 2024-07-21 置信度 0.72 NanotechnologySupramolecular chemistryBiochemical engineeringComputer scienceMaterials science
• Sentiment AI in Leadership Feedback Systems: Real-Time Emotion Analysis and Leadership Adaptation in Jeddah, Saudi Arabia
  This study investigates the integration of sentiment AI into leadership feedback systems and its impact on leadership adaptability and employee satisfaction within medium to large organizations in Jeddah, Saudi Arabia. Grounded in Situational Leadership Theory…
  openalex Megren Abdullah Altassan 2026-02-27 置信度 0.72 PsychologyAdaptabilityAdaptation (eye)Context (archaeology)Emotional intelligence
• Implicit function‐based continuous representation for meticulous segmentation of cracks from high‐resolution images
  openalex Hong-Hu Chu, Lizhi Long, Jingjing Guo, Huaqing Yuan 等 2023-05-27 置信度 0.72 Computer scienceInferenceSegmentationArtificial intelligenceRobustness (evolution)
• Review of additive manufactured tissue engineering scaffolds: relationship between geometry and performance
  Material extrusion additive manufacturing has rapidly grown in use for tissue engineering research since its adoption in the year 2000. It has enabled researchers to produce scaffolds with intricate porous geometries that were not feasible with traditional man…
  openalex Andrew Gleadall, Dafydd O. Visscher, Jing Yang, Daniel J. Thomas 等 2018-01-01 置信度 0.72 ScaffoldScope (computer science)3D printingProcess (computing)Computer science
• Augmenting dissertation mentorship through multi-modal generative AI: adapting language and visuals to diverse learning styles
  Purpose Generative artificial intelligence (GAI) triggered an unprecedented disruption, with studies exploring opportunities and concerns about language capabilities of language models (Generative Pre-trained Transformer 3/4, Large Language Model Meta AI, Gemi…
  openalex Daren Scerri, Alan Gatt, Stephane Role, Gerard Said Pullicino 2025-12-19 置信度 0.72 Kinesthetic learningLearning stylesComputer scienceSession (web analytics)Personalization
• Introducing the Edu-GenAI Rubric: A Theory-Informed Tool for Assessing the Educational Value of Large Language Models and AI Media Generators
  The rapid proliferation of generative artificial intelligence (GenAI) tools has created an urgent need for instruments to evaluate their educational value as teachers, faculty, administrators, and instructional designers consider adopting them. While rubrics e…
  openalex Todd Cherner, Mags Donnelly 2026-04-30 置信度 0.72 RubricComputer scienceMeaning (existential)Generative grammarValue (mathematics)
• Health prognostics and maintenance decision-making for wind energy: A comprehensive overview
  As wind power installations continue to expand rapidly, ensuring reliable and cost-effective Operation and Maintenance (O&M) over the wind turbine lifetime has become increasingly important. With the development of Industry 4.0, predicting the health status of…
  openalex Mingxin Li, Zifei Xu, Shen Li, Y. Kikuchi 等 2025-09-05 置信度 0.72 PrognosticsWind powerRisk analysis (engineering)Context (archaeology)Turbine
• Evolution of Viral Proteins Originated De Novo by Overprinting
  New protein-coding genes can originate either through modification of existing genes or de novo. Recently, the importance of de novo origination has been recognized in eukaryotes, although eukaryotic genes originated de novo are relatively rare and difficult t…
  openalex Niv Sabath, Andreas Wagner, David Karlin 2012-07-19 置信度 0.72 BiologyOverprintingEvolutionary biologyViral evolutionVirology
• Meta-Alignment and Decision Plasticity in AI Systems
  This paper introduces the concept of meta-alignment, a structural perspective on AI alignment focused on the dynamics of decision plasticity in optimization systems. Building on the Adaptive Closure framework, the paper proposes that several misalignment pheno…
  openalex Aurel Marven 2026-03-05 置信度 0.72 ObservabilityCovertClosure (psychology)Computer scienceArtificial intelligence
• From Avatars to Algorithms: Virtual Streamers and AI-Enabled Consumer Behavior in Live Streaming Commerce—A Systematic Review
  This review examines existing research on virtual streamers in live streaming commerce and digital marketing, identifying key factors that shape consumer responses. Based on 41 peer-reviewed studies and following PRISMA 2020 guidelines, the analysis applies th…
  openalex Lingyu Wang, Jasmine A.L. Yeap, Jiaqi Liu, Zongwei Li 2026-02-03 置信度 0.72 Transparency (behavior)Computer scienceConsumer behaviourAvatarProduct (mathematics)
• Enhancing U.S. K-12 Competitiveness for the Agentic Generative AI Era: A Structured Framework for Educators and Policy Makers
  This paper presents a comprehensive framework for transforming K-12 education through systematic AI integration, addressing critical gaps in curriculum development and teacher preparedness. Drawing from extensive analysis of federal initiatives, including the …
  openalex Satyadhar Joshi 2025-10-09 置信度 0.72 CurriculumEquity (law)Professional developmentCurriculum developmentWhite paper
• Sulfated plant peptide hormones
  Sulfated peptides are plant hormones that are active at nanomolar concentrations. The sulfation at one or more tyrosine residues is catalysed by tyrosylprotein sulfotransferase (TPST), which is encoded by a single-copy gene. The sulfate group is provided by th…
  openalex Christine Kaufmann, Margret Sauter 2019-06-19 置信度 0.72 SulfationBiochemistryGlycosylationHydroxylationTyrosine
• AI-Driven CRM Architecture for Managing Large-Scale Fragrance Sample Requests and Understanding Customer Preferences on Social Media
  Social media platforms have become critical infrastructures for customer relationship management (CRM), requiring scalable and intelligent solutions to handle high-volume interactions. In the luxury fragrance sector, digital promotion poses a unique challenge …
  openalex Ali Aldhamiri 2026-04-17 置信度 0.72 Sample (material)Social mediaComputer sciencePromotion (chess)Service (business)
• A Qualitative Study on Postgraduate Social Entrepreneurship Students’ Experiences with and Perceptions of AI-Augmented Creativity in Sustainable Startup Development
  Generative artificial intelligence (AI) is increasingly integrated into sustainability-oriented entrepreneurial practices, raising important questions about its role in shaping human creativity and innovation. This qualitative study examines how postgraduate s…
  openalex Xiuhuo Li, Jongbok Byun 2026-04-16 置信度 0.72 CreativityGenerative grammarReflexivityEntrepreneurshipPsychology
• A Novel Mouse Model of Aortic Valve Stenosis Induced by Direct Wire Injury
  OBJECTIVE: The response-to-tissue-injury theory is currently the favorite paradigm to investigate valve pathology. To the best of our knowledge, there are currently no in vivo valve injury models. There are few calcific aortic valve stenosis (AVS) models that …
  openalex Shintaro Honda, Takuya Miyamoto, Tetsu Watanabe, Taro Narumi 等 2013-12-05 置信度 0.72 MedicineVentricleCalcificationStenosisAortic valve
• Development and validation of a deep-learning model for scoring of radiographic finger joint destruction in rheumatoid arthritis
  OBJECTIVE: The purpose of this research was to develop a deep-learning model to assess radiographic finger joint destruction in RA. METHODS: The model comprises two steps: a joint-detection step and a joint-evaluation step. Among 216 radiographs of 108 patient…
  openalex Tôru Hirano, Masayuki Nishide, Naoki Nonaka, Jun Seita 等 2019-01-01 置信度 0.72 MedicineRheumatoid arthritisRadiographyJoint (building)Physical therapy
• Artificial Intelligence Applications in Medical Devices for Personalized Health Care Solutions: Systematic Review
  Background: The integration of artificial intelligence (AI) in medical devices is transforming health care by enabling enhanced personalization and precision medicine. AI-driven medical devices can tailor treatments based on individual patient profiles, includ…
  openalex Hemanth Ponnambalath Mohanadas, A Manikandan, Ahmad Fauzi Ismail, Nick Tucker 等 2026-03-04 置信度 0.72 PersonalizationHealth careMedical diagnosisComputer scienceeHealth
• A Triple-Intelligence Framework for Sustainable AI-Driven Workforce Analytics: Integrating Artificial Intelligence, Human Judgment, and Organizational Governance
  The use of Artificial Intelligence (AI) within workforce analytics represents a paradigm shift in how organizations make decisions regarding their employees. While AI-enabled workforce analytics can enable proactive and predictive decision-making, the literatu…
  openalex Praveen Kumar Guraja, Kamalamalini Nagasundaram, Manish Nalluri 2026-05-16 置信度 0.72 WorkforceWorkforce planningKnowledge managementAnalyticsCorporate governance
• Mirnovo: genome-free prediction of microRNAs from small RNA sequencing data and single-cells using decision forests
  The discovery of microRNAs (miRNAs) remains an important problem, particularly given the growth of high-throughput sequencing, cell sorting and single cell biology. While a large number of miRNAs have already been annotated, there may well be large numbers of …
  openalex Dimitrios Vitsios, Elissavet Kentepozidou, Leonor Quintais, Èlia Benito‐Gutiérrez 等 2017-09-20 置信度 0.72 BiologyDroshaComputational biologyDicermicroRNA
• Integrating Artificial intelligence within sustainable smart analytical chemistry for analyzing the divisor impact on UV-spectrophotometric efficiency of solifenacin and mirabegron combination
  Abstract This study examines the influence of divisor selection on the efficacy of advanced analytical spectrophotometric methods that integrate artificial intelligence (AI), green-chemistry principles, and white-analytical-chemistry (WAC) frameworks for pharm…
  openalex Hayam M. Lotfy, Reem H. Obaydo, Mahmoud A. Tantawy, Aya A. Mouhamed 2026-05-01 置信度 0.72 Robustness (evolution)SustainabilityEngineeringChatterjeeNovelty
• AI-driven deciphering of cell niches with single-cell and spatial omics: a new perspective for traditional Chinese medicine research
  The therapeutic effects of traditional Chinese medicine (TCM) are characterized by holistic and systematic regulation of the organism, typically achieved through coordinating tissue microenvironments and multicellular interactions. However, conventional molecu…
  openalex Jingyang Qian, Hudong Bao, Haolong Yang, Jiatian Zhang 等 2026-01-01 置信度 0.72 Multicellular organismPerspective (graphical)Data scienceNicheConceptual framework
• A post-Pathfinder evaluation of areocentric solar coordinates with improved timing recipes for Mars seasonal/diurnal climate studies
  openalex Michael Allison, M. McEwen 2000-02-01 置信度 0.72 Mars Exploration ProgramSolsticeSidereal timePhysicsEphemeris
• A chromosome-scale genome sequence of pitaya (Hylocereus undatus) provides novel insights into the genome evolution and regulation of betalain biosynthesis
  Pitaya (Hylocereus) is the most economically important fleshy-fruited tree of the Cactaceae family that is grown worldwide, and it has attracted significant attention because of its betalain-abundant fruits. Nonetheless, the lack of a pitaya reference genome s…
  openalex Jianye Chen, Fangfang Xie, Yanze Cui, Canbin Chen 等 2021-07-06 置信度 0.72 BiologyGenomeGeneticsGeneBetalain
• AI-Driven Maintenance Optimisation for Natural Gas Liquid Pumps in the Oil and Gas Industry: A Digital Tool Approach
  Natural Gas Liquid (NGL) pumps are critical assets in oil and gas operations, where unplanned failures can result in substantial production losses. Traditional maintenance approaches, often based on static schedules and expert judgement, are inadequate for opt…
  openalex Abdulmajeed Almuraia, Feiyang He, Muhammad Khan 2025-05-21 置信度 0.72 Natural gasOil and natural gasPetroleum engineeringIndustrial gasPetroleum industry
• schema-miner pro: Agentic AI for Ontology Grounding Over LLM-Discovered Scientific Schemas in a Human-in-the-Loop Workflow
  Scientific processes are often described in free text, making it difficult to represent and reason over them computationally. We present schema-miner p r o , a human-in-the-loop framework that automatically extracts and grounds structured schemas from scientif…
  openalex Sameer Sadruddin, Jennifer D’Souza, Eleni Poupaki, Alex Watkins 等 2026-04-25 置信度 0.72 Computer scienceWorkflowOntologySchema (genetic algorithms)Process (computing)
• Revealing the true potential and prospects of augmented reality in education
  Abstract Augmented Reality (AR) technology is one of the latest developments and is receiving ever-increasing attention. Many researches are conducted on an international scale in order to study the effectiveness of its use in education. The purpose of this wo…
  openalex Yiannis Koumpouros 2024-01-08 置信度 0.72 Computer scienceAugmented realityAndroid (operating system)Protocol (science)Order (exchange)
• Digital Transformation and Sustainable Customer Value in Healthcare: Evidence from an AI-Based Diabetes Prognostic Service
  This study investigates how digital transformation in healthcare shapes sustainable customer value by analyzing the role of digital quality and its influence on satisfaction and loyalty within an AI-based diabetes prognostic service. Drawing on system, informa…
  openalex Oh Suk Yang, Seong Hun Kim 2026-01-16 置信度 0.72 BusinessLoyaltyDigital transformationMarketingService quality
• The Role of Artificial Intelligence in Enhancing ESG Disclosure Quality in Accounting
  As corporate sustainability reporting evolves into a pivotal resource for investors, regulators, and stakeholders, the imperative to evaluate and elevate ESG disclosure quality intensifies amid persistent challenges like opacity, inconsistency, and greenwashin…
  openalex J. Liu, Ye Yuan, Zhelun Zhu 2026-01-09 置信度 0.72 GreenwashingInterpretabilityQuality (philosophy)Knowledge managementCorporate governance