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Showing 12692 results for "dawn drain" in Computer Science
Computer Science Preprint PDF DOI

Index-Assisted Stratified Sampling for Online Aggregation

Yunnan Yu, Zhuoyue Zhao · 2026

Ad-hoc queries over frequently updated data in a flat schema are common in real-time data analysis applications and often require very low latency. Online aggregation can achieve so by providing appro…

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Computer Science Preprint PDF DOI

WOOTdroid: Whole-system Online On-device Tracing for Android

Simon Althaus, Nikolaos Alexopoulos, Max Muhlhauser, Christian Reuter, Ephraim Zimmer · 2026

System auditing on Android faces two problems. First, existing syscall tracers lose events under load, silently overwriting entries faster than a user space reader can drain them. Second, security-rel…

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Computer Science Preprint PDF DOI

Temporal Routing in Static Networks: The Schedule Completion Problem

Michelle Doring, Niklas Mohrin, George Skretas · 2026

We introduce the TemporallyEdgeDisjointScheduleCompletion (TEDSC) problem in which we need to cover a set of temporal edge demands $D$ by routing $k$ temporal walks through a directed static graph whi…

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Computer Science Preprint PDF DOI

Tail-aware N-version Machine Learning Models for Reliable API Recommendation

Aoi Matsuda, Fumio Machida, David Lo · 2026

Machine learning (ML)-based API recommendation helps developers efficiently identify suitable APIs to complement the application code. However, code datasets used to train ML models often exhibit a lo…

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Computer Science Preprint PDF DOI

Secure Cross-Silo Synthetic Genomic Data Generation

Daniil Filienko, Martine De Cock, Sikha Pentyala · 2026

Access to genomic data is highly regulated due to its sensitive nature. While safeguards are essential, cumbersome data access processes pose a significant barrier to the development of AI methods for…

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Computer Science Preprint PDF DOI

Predicting Upcoming Stuttering Events from Three-Second Audio: Stratified Evaluation Reveals Severity-Selective Precursors, and the Model Deploys Fully On-Device

Nazar Kozak · 2026

Audio-based stuttering systems to date have been trained for detection -- what disfluency is present now -- leaving prediction, the capability needed for closed-loop intervention, unstudied at deploya…

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Computer Science Preprint PDF DOI

Can Cross-Layer Design Bridge Security and Efficiency? A Robust Authentication Framework for Healthcare Information Exchange Systems

Khalid M. Ezzat, Muhammad El-Saba, Mahmoud A. Shawky · 2026

As healthcare systems become increasingly interconnected, ensuring secure and continuous device authentication in health information exchange (HIE) networks is critical to safeguarding patient data an…

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Computer Science Preprint PDF DOI

Efficient, VRAM-Constrained xLM Inference on Clients

Aditya Ukarande, Deep Shekhar, Marc Blackstein, Ram Rangan · 2026

To usher in the next round of client AI innovation, there is an urgent need to enable efficient, lossless inference of high-accuracy large language models (LLMs) and vision language models (VLMs), joi…

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Computer Science Preprint PDF DOI

Adaptive and AI-Augmented Security Testing: A Systematic Survey of Program Analysis, Feedback-Driven Testing, and Hybrid Learning-Based Approaches

Michael Wienczkowski · 2026

Modern software systems are increasingly developed within rapid continuous integration and deployment (CI/CD) pipelines, where ensuring security prior to release presents significant technical and org…

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Computer Science Preprint PDF DOI

SWE-Edit: Rethinking Code Editing for Efficient SWE-Agent

Yikai Zhang, Jiaxin Pei, Kenan Li, Maoquan Wang, Jin Pan, Yu Kang, Shengyu Fu, Elsie Nallipogu, Junjie Hu, Yufan Huang, Zijian Jin · 2026

Large language model agents have achieved remarkable progress on software engineering tasks, yet current approaches suffer from a fundamental context coupling problem: the standard code editing interf…

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Computer Science Preprint PDF DOI

From Threads to Trajectories: A Multi-LLM Pipeline for Community Knowledge Extraction from GitHub Issue Discussions

Nazia Shehnaz Joynab, Soneya Binta Hossain · 2026

Resolution of complex post-production issues in large-scale open-source software (OSS) projects requires significant cognitive effort, as developers need to go through long, unstructured and fragmente…

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Computer Science Preprint PDF DOI

Break the Inaccessible Boundary: Distilling Post-Conversion Content for User Retention Modeling

Tianbao Ma, Ruochen Yang, Chengen Li, Yuexin Shi, Jiangxia Cao, Linxun Chen, Zhaojie Liu, Yanan Niu, Han Li, Kun Gai · 2026

User retention is a key metric to measure long-term engagement in modern platforms. In real-time bidding (RTB) advertising system for user re-engagement, the retention model is required to predict fut…

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Computer Science Preprint PDF DOI

AI as Consumer and Participant: A Co-Design Agenda for MBSE Substrates and Methodology

Siyuan Ji · 2026

AI tools are being deployed over MBSE models today, and those models were not designed for this kind of consumption. The problem is not simply that tools hallucinate: well-prompted frontier models pro…

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Computer Science Preprint PDF DOI

Assistants, Not Architects: The Role of LLMs in Networked Systems Design

Pratyush Sahu, Rahul Bothra, Venkat Arun, Brighten Godfrey, Akshay Narayan, Ahmed Saeed · 2026

Designing the architecture of modern networked systems requires navigating a large, combinatorial space of hardware, systems, and configuration choices with complex cross-layer interactions. Architect…

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Computer Science Preprint PDF DOI

Stop Using the Wilcoxon Test: Myth, Misconception and Misuse in IR Research

Julian Urbano · 2026

In benchmarking of Information Retrieval systems, the Wilcoxon signed-rank test is often treated as a safer alternative to the t-test. This belief is fueled by textbooks and recommendations that portr…

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Computer Science Preprint PDF DOI

How Can Reinforcement Learning Achieve Expert-level Placement?

Ruo-Tong Chen, Ke Xue, Chengrui Gao, Yunqi Shi, Tian Xu, Peng Xie, Siyuan Xu, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou · 2026

Chip placement is a critical step in physical design. While reinforcement learning (RL)-based methods have recently emerged, their training primarily focuses on wirelength optimization, and therefore …

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Computer Science Preprint PDF DOI

Covariance-Aware Demapping on Fourier-Curve Constellations

Bin Han, Muxia Sun, H. Vincent Poor, Hans D. Schotten · 2026

Injecting artificial noise (AN) along the tangent space of a curved constellation makes each transmitted symbol induce a Gaussian observation with a symbol-dependent rank-one covariance, so the matche…

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Computer Science Preprint PDF DOI

Layerwise Convergence Fingerprints for Runtime Misbehavior Detection in Large Language Models

Nay Myat Min, Long H. Pham, Jun Sun · 2026

Large language models deployed at runtime can misbehave in ways that clean-data validation cannot anticipate: training-time backdoors lie dormant until triggered, jailbreaks subvert safety alignment, …

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Computer Science Preprint PDF DOI

GAMMAF: A Common Framework for Graph-Based Anomaly Monitoring Benchmarking in LLM Multi-Agent Systems

Pablo Mateo-Torrejon, Alfonso Sanchez-Macian · 2026

The rapid integration of Large Language Models (LLMs) into Multi-Agent Systems (MAS) has significantly enhanced their collaborative problem-solving capabilities, but it has also expanded their attack …

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Computer Science Preprint PDF DOI

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary

Dong Xiao, Jian Wang · 2026

Wideband spectrum sensing motivates sub-Nyquist sampling architectures that exploit spectral sparsity, yet in blind scenarios where subband locations are unknown, existing schemes require sampling rat…

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