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Showing 4167 results for "adaptation" in Computer Science · Preprint
Computer Science Preprint PDF DOI

Towards Neuro-symbolic Causal Rule Synthesis, Verification, and Evaluation Grounded in Legal and Safety Principles

Zainab Rehan, Christian Medeiros Adriano, Sona Ghahremani, Holger Giese · 2026

Rule-based systems remain central in safety-critical domains but often struggle with scalability, brittleness, and goal misspecification. These limitations can lead to reward hacking and failures in f…

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Computer Science Preprint PDF DOI

Beyond One-Size-Fits-All Exercises: Personalizing Computer Science Worksheets with Large Language Models

Franco Ortiz, Runlong Ye, Michael Liut · 2026

Large Language Models (LLMs) have been widely applied to student-facing educational tools, this work explores their use in supporting instructors by presenting a practical adaptation of the Framework …

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Computer Science Preprint PDF DOI

A Study on the Performance of Distributed Training of Data-driven CFD Simulations

Sergio Iserte, Alejandro Gonzalez-Barbera, Paloma Barreda, Krzysztof Rojek · 2026

Data-driven methods for computer simulations are blooming in many scientific areas. The traditional approach to simulating physical behaviors relies on solving partial differential equations (PDE). Si…

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Computer Science Preprint PDF DOI

Profiles of AI Dependency: A Latent Class Analysis of Filipino Students' Academic Competencies

Emerson Q. Fernando, Julius Ceazar G. Tolentino, Maria Anna D. Cruz, Jordan L. Salenga, Vernon Grace M. Maniago, Juvy C. Grume, Erika M. Pineda, Aileen P. De Leon, John Paul P. Miranda · 2026

The increasing dependency among Filipino college students on artificial intelligence (AI) poses concerns about the potential decline of fundamental academic competencies. This study examines the exten…

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Computer Science Preprint PDF DOI

Addressing the Reality Gap: A Three-Tension Framework for Agentic AI Adoption

Jason Fournier (Imagine Learning), Kacper {L}odzikowski (Adam Mickiewicz University, Poznan, Poland) · 2026

Generative AI has rapidly entered education through free consumer tools, outpacing the ability of schools and universities to respond. Now a new wave of more autonomous agentic AI systems--with the ca…

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Computer Science Preprint PDF DOI

BLINC: Context-Specific Causal Learning for Automated RAN Configuration

Reshma Prasad, Michele Polese, Tommaso Melodia · 2026

Radio Access Network (RAN) configuration has traditionally required significant manual effort due to indirect causal dependencies between observable Key Performance Indicators (KPIs), and context-depe…

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Computer Science Preprint PDF DOI

Adaptive Self-Organization in Anonymous Dynamic Networks

Garrett Parzych, Joshua J. Daymude · 2026

We introduce the problem of adaptive self-organization in which the nodes of an anonymous, synchronous dynamic network must distributively change the collective distribution of their responses (or "co…

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Computer Science Preprint PDF DOI

Distributed Multi-View Vision-Only RSSI Estimation

Jung-Beom Kim, Woongsup Lee · 2026

Received Signal Strength Indicator (RSSI) estimation is essential for wireless link management, yet conventional feedback-based approaches incur uplink overhead, suffer from measurement instability, a…

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Computer Science Preprint PDF DOI

Quantifying the Cost of Manual Navigation: A Comparison of Gesture-Based Magnification versus Direct Access Reading in Digital Layout-based Documents

Sebastian Gallardo (BIOVISION, DAJ), Hui-Yin Wu (BIOVISION), Dorian Mazauric (ABSLab (Poitiers), Terra Numerica), Pierre Kornprobst (UniCA, BIOVISION, ABSLab (Poitiers)), Monica Di Meo (CHU), Stephanie Baillif (CHU), Aurelie Calabrese (AMU, LPC) · 2026

Understanding how diverse audiences engage with structured media is critical to ensure a consistent quality of experience. In this context, we quantify the behavioral and performance cost of manual na…

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Computer Science Preprint PDF DOI

PiLLar: Matching for Pivot Table Schema via LLM-guided Monte-Carlo Tree Search

Yunjun Gao, Chuangyu Ouyang, Congcong Ge, Yifan Zhu · 2026

Pivot tables are ubiquitous in data lakes of modern data ecosystems, making accurate schema matching over pivot tables a key prerequisite for data integration. In this paper, we focus on matching for …

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Computer Science Preprint PDF DOI

TimeMM: Time-as-Operator Spectral Filtering for Dynamic Multimodal Recommendation

Wei Yang, Rui Zhong, Zihan Lin, Xiaodan Wang, Cheng Chen, Huan Ren, Yao Hu · 2026

Multimodal recommendation improves user modeling by integrating collaborative signals with heterogeneous item content. In real applications, user interests evolve over time and exhibit nonstationary d…

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Computer Science Preprint PDF DOI

OpenSOC-AI: Democratizing Security Operations with Parameter Efficient LLM Log Analysis

Chaitanya Vilas Garware, Sharif Noor Zisad · 2026

Small and medium sized businesses (SMBs) face an escalating cybersecurity threat landscape, yet most lack the resources to staff full Security Operations Centers (SOCs) or deploy enterprise grade dete…

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Computer Science Preprint PDF DOI

Hierarchical Long-Term Semantic Memory for LinkedIn's Hiring Agent

Zhentao Xu, Shangjing Zhang, Emir Poyraz, Yvonne Li, Ye Jin, Xie Lu, Xiaoyang Gu, Karthik Ramgopal, Praveen Kumar Bodigutla, Xiaofeng Wang · 2026

Large Language Model (LLM) agents are increasingly used in real-world products, where personalized and context-aware user interactions are essential. A central enabler of such capabilities is the agen…

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Computer Science Preprint PDF DOI

A dynamic $(1+\varepsilon)$-spanner for disk intersection graphs

Sarita de Berg, Ivor van der Hoog, Eva Rotenberg, Johanne M. Vistisen, Sampson Wong · 2026

We maintain a $(1+\varepsilon)$-spanner over the disk intersection graph of a dynamic set of disks. We restrict all disks to have their diameter in $[4,\Psi]$ for some fixed and known $\Psi$. The resu…

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Computer Science Preprint PDF DOI

Adaptive Management of Microservices in Dynamic Computing Environments: A Taxonomy and Future Directions

Ming Chen, Muhammed Tawfiqul Islam, Maria Rodriguez Read, Rajkumar Buyya · 2026

Microservice-based cloud applications face changing workloads, evolving request paths, variable network conditions, interference, and failures. These dynamics couple autoscaling, placement, routing, i…

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Computer Science Preprint PDF DOI

UnIte: Uncertainty-based Iterative Document Sampling for Domain Adaptation in Information Retrieval

Jongyoon Kim, Minseong Hwang, Seung-won Hwang · 2026

Unsupervised domain adaptation generalizes neural retrievers to an unseen domain by generating pseudo queries on target domain documents. The quality and efficiency of this adaptation critically depen…

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Computer Science Preprint PDF DOI

"We Wanted to Do Better Than the Law": Exploring UI/UX Designers' Privacy Advocacy in Practice

Keyu Yao, Jinghui Cheng, Jin L.C. Guo · 2026

Designers hold primary responsibility for shaping the user interface (UI) and user experience (UX) of a product. This role goes beyond aesthetics and usability, extending to the privacy outcomes of us…

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Computer Science Preprint PDF DOI

Safety Drift After Fine-Tuning: Evidence from High-Stakes Domains

Emaan Bilal Khan, Amy Winecoff, Miranda Bogen, Dylan Hadfield-Menell · 2026

Foundation models are routinely fine-tuned for use in particular domains, yet safety assessments are typically conducted only on base models, implicitly assuming that safety properties persist through…

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Computer Science Preprint PDF DOI

Leveraging LLMs for Multi-File DSL Code Generation: An Industrial Case Study

Sivajeet Chand, Kevin Nguyen, Peter Kuntz, Alexander Pretschner · 2026

Large language models (LLMs) perform strongly on general-purpose code generation, yet their applicability to enterprise domain-specific languages (DSLs) remains underexplored, especially for repositor…

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Computer Science Preprint PDF DOI

ARCANE: Cross-Campaign Attacker Re-identification via Passive Beacon Telemetry -- A Bayesian Network Framework for Longitudinal Cyber Attribution

Abraham Itzhak Weinberg · 2026

Current cyber attribution approaches typically operate on a per-incident basis, leaving open whether aggregating evidence across campaigns improves adversary identification. We investigate whether cro…

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