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๐Ÿ” mass screening ๐Ÿ“‚ Computer Science
Showing 6712 results for "mass screening" in Computer Science
Computer Science Preprint PDF DOI

Optimal Transmitter Placement in Realistic Urban Environments

Lukas Taus, Richard Tsai, Jeffrey G. Andrews ยท 2026

In a wireless network, the spatial location of the transmitters has a large impact on the achievable rate at each user location. The optimal placement of -- for example -- cellular base stations is a โ€ฆ

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MASCing: Configurable Mixture-of-Experts Behavior via Activation Steering Masks

Jona te Lintelo, Lichao Wu, Marina Krcek, Sengim Karayalcin, Stjepan Picek ยท 2026

Mixture-of-Experts (MoE) architectures in Large Language Models (LLMs) have significantly reduced inference costs through sparse activation. However, this sparse activation paradigm also introduces neโ€ฆ

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AME-PIM: Can Memory be Your Next Tensor Accelerator?

Emanuele Venieri, Simone Manoni, Alberto Florian, Jaehyun Park, Kyomin Sohn, Andrea Bartolini ยท 2026

High Bandwidth Memory with Processing-in-Memory (HBM-PIM) offers an opportunity to reduce data movement by executing computation directly inside memory, but current commercial platforms expose limitedโ€ฆ

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BAss: Symbolic Reasoning in Abstract Dialectical Frameworks

Samuel Pastva, Van-Giang Trinh ยท 2026

We present BAss (BDD-based ADF symbolic solver), a novel analysis tool for Abstract Dialectical Frameworks (ADFs) based on Binary Decision Diagrams (BDDs). It supports the fully symbolic computation oโ€ฆ

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One Size Fits All? An Empirical Comparison of ADR Templates regarding Comprehension, Usability, and Ease of Adoption

Fernando Nogueira, Nabson Silva, Tayana Conte ยท 2026

Context: Documenting Architectural Design Decisions (ADDs) is a critical factor in the software lifecycle, essential for efficient system maintenance, developer onboarding, and preventing knowledge vaโ€ฆ

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FloatSOM: GPU-Accelerated, Distributed, Topology-Flexible Self-Organizing Maps

Tony Xu, Sarah Klamt, Katherine Turner, Anne Brustle, Felix Marsh-Wakefield, Givanna Putri ยท 2026

GPU-accelerated Self-Organizing Map (SOM) implementations are among the most competitive options for large-scale SOM analysis, but growing dataset sizes increasingly challenge their practical use becaโ€ฆ

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Beyond Accuracy: LLM Variability in Evidence Screening for Software Engineering SLRs

Gilberto Sussumu Hida, Danilo Monteiro Ribeiro, Erika Yahata ยท 2026

Context: Study screening in systematic literature reviews is costly, inconsistency-prone, and risk-asymmetric, since false negatives can compromise validity. Despite rapid uptake of Large Language Modโ€ฆ

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UIGaze: How Closely Can VLMs Approximate Human Visual Attention on User Interfaces?

Min Song, Yoonseong Lee, Yeonhu Seo ยท 2026

Vision Language Models (VLMs) have demonstrated strong capabilities in understanding visual content, yet their ability to predict where humans look on user interfaces remains unexplored. We present UIโ€ฆ

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Calibrated Persistent Homology Tests for High-dimensional Collapse Detection

Alexander Kalinowski ยท 2026

We study detection of collapse in high-dimensional point clouds, where mass concentrates near a lower-dimensional set relative to a non-collapsed geometry. We propose persistent homology-based test stโ€ฆ

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MarkIt: Training-Free Visual Markers for Precise Video Temporal Grounding

Pengcheng Fang, Yuxia Chen, Xiaohao Cai ยท 2026

Video temporal grounding (VTG) aims to localize the start and end timestamps of the event described by a given query within an untrimmed video. Despite the strong open-world video understanding and reโ€ฆ

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Spreadsheet Modeling Experiments Using GPTs on Small Problem Statements and the Wall Task

Thomas A. Grossman, Yuan Chen, Sopiko Datuashvili ยท 2026

This paper investigates how GPT-based tools can assist in building reusable analytical spreadsheet models. After a screening, we evaluate five GPT extensions and select Excel AI by pulsrai.com for detโ€ฆ

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FusionCIM: Accelerating LLM Inference with Fusion-Driven Computing-in-Memory Architecture

Zihao Xuan, Jia Chen, Yewen Li, Wei Xuan, Hegan Chen, Xiao Huo, Fengbin Tu ยท 2026

In this paper, we propose FusionCIM, an operator-fusion-driven compute-in-memory (CIM) accelerator architecture for efficient and scalable LLM inference, with three key innovations: (1) a hybrid CIM pโ€ฆ

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Correcting One Deletion and One Substitution with a Constant Number of Reads

Yuling Li, Yubo Sun, Gennian Ge ยท 2026

In this paper, we investigate the problem of designing $(n, N; \mathcal{B})$-reconstruction codes for $N\in \{14,11,9,5\}$, where $\mathcal{B}$ is the single-deletion single-substitution ball functionโ€ฆ

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Programming with Data: Test-Driven Data Engineering for Self-Improving LLMs from Raw Corpora

Chenkai Pan, Xinglong Xu, Yuhang Xu, Yujun Wu, Siyuan Li, Jintao Chen, Conghui He, Jingxuan Wei, Cheng Tan ยท 2026

Reliably transferring specialized human knowledge from text into large language models remains a fundamental challenge in artificial intelligence. Fine-tuning on domain corpora has enabled substantialโ€ฆ

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Primitive Recursion without Composition: Dynamical Characterizations, from Neural Networks to Polynomial ODEs

Olivier Bournez ยท 2026

What do recurrent neural networks, polynomial ODEs, and discrete polynomial maps each bring to computation, and what do they lack? All three operate over the continuum--real-valued states evolved by rโ€ฆ

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Defusing the Trigger: Plug-and-Play Defense for Backdoored LLMs via Tail-Risk Intrinsic Geometric Smoothing

Kaisheng Fan, Weizhe Zhang, Yishu Gao, Tegawende F. Bissyande, Xunzhu Tang ยท 2026

Defending against backdoor attacks in large language models remains a critical practical challenge. Existing defenses mitigate these threats but typically incur high preparation costs and degrade utilโ€ฆ

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From Stateless Queries to Autonomous Actions: A Layered Security Framework for Agentic AI Systems

Kexin Chu ยท 2026

Agentic AI systems face security challenges that stateless large language models do not. They plan across extended horizons, maintain persistent memory, invoke external tools, and coordinate with peerโ€ฆ

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Well-Conditioned Oblivious Perturbations in Linear Space

Shabarish Chenakkod, Micha{l} Derezinski, Xiaoyu Dong, Mark Rudelson ยท 2026

Perturbing a deterministic $n$-dimensional matrix with small Gaussian noise is a cornerstone of smoothed analysis of algorithms [Spielman and Teng, JACM 2004], as it reduces the condition number of thโ€ฆ

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A satellite foundation model for improved wealth monitoring

Zhuo Zheng, Ivan Higuera-Mendieta, Richard Lee, David Newhouse, Talip Kilic, Stefano Ermon, Marshall Burke, David B. Lobell ยท 2026

Poverty statistics guide social policy, but in many low- and middle-income countries, censuses and household surveys that collect these data are costly, infrequent, quickly outdated, and sometimes errโ€ฆ

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MindTrellis: Co-Creating Knowledge Structures with AI through Interactive Visual Exploration

Xiang Li, Cara Li, Emily Kuang, Can Liu, Jian Zhao ยท 2026

Knowledge workers face increasing challenges in synthesizing information from multiple documents into structured conceptual understanding. This process is inherently iterative: users explore content, โ€ฆ

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