Papers
Research papers from arXiv and related sources
Data Fusion with Distributional Equivalence Test-then-pool
Randomized controlled trials (RCTs) are the gold standard for causal inference, yet practical constraints often limit the size of the concurrent control arm. Borrowing control data from previous tr...
Linying Yang, Xing Liu, Robin J. Evans
Social, Legal, Ethical, Empathetic and Cultural Norm Operationalisation for AI Agents
As AI agents are increasingly used in high-stakes domains like healthcare and law enforcement, aligning their behaviour with social, legal, ethical, empathetic, and cultural (SLEEC) norms has becom...
Radu Calinescu, Ana Cavalcanti, Marsha Chechik, Lina Marsso, Beverley Townsend
You Told Me to Do It: Measuring Instructional Text-induced Private Data Leakage in LLM Agents
High-privilege LLM agents that autonomously process external documentation are increasingly trusted to automate tasks by reading and executing project instructions, yet they are granted terminal ac...
Ching-Yu Kao, Xinfeng Li, Shenyu Dai, Tianze Qiu, Pengcheng Zhou, Eric Hanchen Jiang, Philip Sperl
Water droplet dynamics and evaporation in airtanker firefighting
This study presents the first systematic investigation of the dynamics of individual water droplets in the context of airtanker firefighting. While previous work has focused on ground-deposition pa...
Fabian Denner
OpenClaw PRISM: A Zero-Fork, Defense-in-Depth Runtime Security Layer for Tool-Augmented LLM Agents
Tool-augmented LLM agents introduce security risks that extend beyond user-input filtering, including indirect prompt injection through fetched content, unsafe tool execution, credential leakage, a...
Frank Li
Deep Learning-based Assessment of the Relation Between the Third Molar and Mandibular Canal on Panoramic Radiographs using Local, Centralized, and Federated Learning
Impaction of the mandibular third molar in proximity to the mandibular canal increases the risk of inferior alveolar nerve injury. Panoramic radiography is routinely used to assess this relationshi...
Johan Andreas Balle Rubak, Sara Haghighat, Sanyam Jain, Mostafa Aldesoki, Akhilanand Chaurasia, S...
ZeroSense:How Vision matters in Long Context Compression
Recent visual-text compression (VTC) methods, typified by DeepSeek-OCR, report impressive high token compression ratios for long-context modeling tasks by leveraging text-to-image rendering. Howeve...
Yonghan Gao, Zehong Chen, Lijian Xu, Jingzhi Chen, Jingwei Guan, Xingyu Zeng
Acoustic-to-Articulatory Inversion of Clean Speech Using an MRI-Trained Model
Articulatory acoustic inversion reconstructs vocal tract shapes from speech. Real-time magnetic resonance imaging (rt-MRI) allows simultaneous acquisition of both the acoustic speech signal and art...
Sofiane Azzouz, Pierre-André Vuissoz, Yves Laprie
The Landscape of Generative AI in Information Systems: A Synthesis of Secondary Reviews and Research Agendas
As organizations grapple with the rapid adoption of Generative AI (GenAI), this study synthesizes the state of knowledge through a systematic literature review of secondary studies and research age...
Aleksander Jarzębowicz, Adam Przybyłek, Jacinto Estima, Yen Ying Ng, Jakub Swacha, Beata Zielosko...
ReDimNet2: Scaling Speaker Verification via Time-Pooled Dimension Reshaping
We present ReDimNet2, an improved neural network architecture for extracting utterance-level speaker representations that builds upon the ReDimNet dimension-reshaping framework. The key modificatio...
Ivan Yakovlev, Anton Okhotnikov
Hybrid Human-Agent Social Dilemmas in Energy Markets
In hybrid populations where humans delegate strategic decision-making to autonomous agents, understanding when and how cooperative behaviors can emerge remains a key challenge. We study this proble...
Isuri Perera, Frits de Nijs, Julian Garcia
Towards High-Fidelity CAD Generation via LLM-Driven Program Generation and Text-Based B-Rep Primitive Grounding
The field of Computer-Aided Design (CAD) generation has made significant progress in recent years. Existing methods typically fall into two separate categorie: parametric CAD modeling and direct bo...
Jiahao Li, Qingwang Zhang, Qiuyu Chen, Guozhan Qiu, Yunzhong Lou, Xiangdong Zhou
Robust Sequential Hypothesis Testing with Generalized Estimating Equations
Existing sequential generalized estimating equation methodology for longitudinal and group-correlated data focuses on narrow hypotheses concerning treatment efficacy and often makes modeling assump...
Nathan T. Provost, Abdus S. Wahed
Large language models for optical network O&M: Agent-embedded workflow for automation
With the continuous expansion of optical networks and the increasing diversity of services, existing operation and maintenance (O&M) approaches are increasingly challenged to meet the rising demand...
Shengnan Li, Yidi Wang, Fubin Wang, Yujia Yang, Yao Zhang, Yuchen Song, Xiaotian Jiang, Yue Pang,...
Multimodal classification of Radiation-Induced Contrast Enhancements and tumor recurrence using deep learning
The differentiation between tumor recurrence and radiation-induced contrast enhancements in post-treatment glioblastoma patients remains a major clinical challenge. Existing approaches rely on clin...
Robin Peretzke, Marlin Hanstein, Maximilian Fischer, Lars Badhi Wessel, Obada Alhalabi, Sebastian...
Stuck on Suggestions: Automation Bias, the Anchoring Effect, and the Factors That Shape Them in Computational Pathology
Artificial intelligence (AI)-driven decision support systems can improve diagnostic accuracy and efficiency in computational pathology. However, collaboration between human experts and AI may intro...
Emely Rosbach, Jonas Ammeling, Jonathan Ganz, Christof Albert Bertram, Thomas Conrad, Andreas Rie...
OMNIA: Closing the Loop by Leveraging LLMs for Knowledge Graph Completion
Knowledge Graphs (KGs) are widely used to represent structured knowledge, yet their automatic construction, especially with Large Language Models (LLMs), often results in incomplete or noisy output...
Frédéric Ieng, Soror Sahri, Mourad Ouzzani, Massinissa Hammaz, Salima Benbernou, Hanieh Khorashad...
Automated Detection of Malignant Lesions in the Ovary Using Deep Learning Models and XAI
The unrestrained proliferation of cells that are malignant in nature is cancer. In recent times, medical professionals are constantly acquiring enhanced diagnostic and treatment abilities by implem...
Md. Hasin Sarwar Ifty, Nisharga Nirjan, Labib Islam, M. A. Diganta, Reeyad Ahmed Ornate, Anika Ta...
Chemo-dynamical reconstruction of Milky Way globular cluster progenitors: age--metallicity relations and the universality of multiple stellar populations
Globular clusters encode the hierarchical assembly history of the Milky Way and the physics of multiple stellar populations. Using homogeneous stellar parameters for 69 Galactic globular clusters d...
Carmela Lardo, David Valcin, Raul Jimenez
Automating Skill Acquisition through Large-Scale Mining of Open-Source Agentic Repositories: A Framework for Multi-Agent Procedural Knowledge Extraction
The transition from monolithic large language models (LLMs) to modular, skill-equipped agents represents a fundamental architectural shift in artificial intelligence deployment. While general-purpo...
Shuzhen Bi, Mengsong Wu, Hao Hao, Keqian Li, Wentao Liu, Siyu Song, Hongbo Zhao, Aimin Zhou