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๐Ÿ” computer simulation ๐Ÿ“‚ Computer Science
Showing 291239 results for "computer simulation" in Computer Science
Computer Science Preprint PDF DOI

Strongly Refuting Random CSP without Literals

Siu On Chan, Tommaso d'Orsi, Jeff Xu ยท 2026

Under what condition is a random constraint satisfaction problem hard to refute by the sum-of-squares (SoS) algorithm? A sufficient condition is t-wise uniformity, that is, each constraint has a t-wisโ€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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Twitter climate discourse as a signal of pro-environmental behaviors

Edoardo Maggioni, Diego Garlaschelli, Rossana Mastrandrea, Luca Maria Aiello ยท 2026

Fostering coordinated pro-environmental behaviors at scale is a key challenge for climate mitigation. Individual actions only generate meaningful impact when they diffuse widely and become socially coโ€ฆ

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SQuadGen: Generating Simple Quad Layouts via Chart Distance Fields

Youkang Kong, Yang Liu, Yue Dong, Xin Tong, Heung-Yeung Shum ยท 2026

3D shapes from scanning, reconstruction, or AI-generated content often lack simple quad mesh layouts -- critical for efficient editing and modeling. Existing quad-remeshing techniques typically producโ€ฆ

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Toward Autonomous SOC Operations: End-to-End LLM Framework for Threat Detection, Query Generation, and Resolution in Security Operations

Md Hasan Saju, Akramul Azim ยท 2026

Security Operations Centers (SOCs) face mounting operational challenges. These challenges come from increasing threat volumes, heterogeneous SIEM platforms, and time-consuming manual triage workflows.โ€ฆ

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REBENCH: A Procedural, Fair-by-Construction Benchmark for LLMs on Stripped-Binary Types and Names (Extended Version)

Jun Yeon Won, Xin Jin, Shiqing Ma, Zhiqiang Lin ยท 2026

Large Language Models (LLMs) have achieved remarkable progress in recent years, driving their adoption across a wide range of domains, including computer security. In reverse engineering, LLMs are incโ€ฆ

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Cross-lingual Comparison of Research Funding Projects with Multilingual Sentence-BERT: Evidence from KAKENHI, NIH, NSF, and UKRI

Miki Kimura-Ida ยท 2026

Cross-national comparison of research funding projects is increasingly important for science policy and strategic planning, but language differences remain a major obstacle. In particular, KAKENHI proโ€ฆ

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Pragmos: A Process Agentic Modeling System

Pedro-Aaron Hernandez-Avalos, Luciano Garcia-Banuelos ยท 2026

The advent of Large Language Models (LLMs) has significantly transformed tasks across Software Engineering. In the context of Business Process Management, LLMs are now being explored as tools to derivโ€ฆ

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NuggetIndex: Governed Atomic Retrieval for Maintainable RAG

Saber Zerhoudi, Michael Granitzer, Jelena Mitrovic ยท 2026

Retrieval-augmented generation (RAG) systems are frequently evaluated via fact-based metrics, yet standard implementations retrieve passages or static propositions. This unit mismatch between evaluatiโ€ฆ

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Static Attribution of Android Residential Proxy Malware Using Graph Kernels

Peter Clark, Yong Guan, Zhonghao Liao ยท 2026

Android residential proxy applications represent a growing class of potentially-unwanted programs (PUPs) that covertly route third-party traffic through end-user devices, enabling ad fraud, credentialโ€ฆ

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To Diff or Not to Diff? Structure-Aware and Adaptive Output Formats for Efficient LLM-based Code Editing

Wei Cheng, Yongchang Cao, Chen Shen, Binhua Li, Jue Chen, Yongbin Li, Wei Hu ยท 2026

Large Language Models (LLMs) are increasingly used for code editing, yet the prevalent full-code generation paradigm suffers from severe efficiency bottlenecks, posing challenges for interactive codinโ€ฆ

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The Likelihood Ratio Wall: Structural Limits on Accurate Risk Assessment for Rare Violence

Marco Pollanen ยท 2026

Pretrial risk assessment tools are used on over one million U.S. defendants each year, yet their use for predicting rare violent re-offense faces a basic statistical barrier. We derive a universal preโ€ฆ

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Accent Conversion: A Problem-Driven Survey of Sociolinguistic and Technical Constraints

Yurii Halychanskyi, Jianfeng Steven Guo, Volodymyr Kindratenko ยท 2026

Accent conversion has rapidly progressed alongside growing interest in improving global cross-cultural communication. This survey presents an overview of the evolution of accent conversion methodologiโ€ฆ

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

Nazar Kozak ยท 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 deployaโ€ฆ

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Fisher Markets with Approximately Optimal Bundles and the Need for a PCP Theorem for PPAD

Argyrios Deligkas, John Fearnley, Alexandros Hollender, Themistoklis Melissourgos ยท 2026

We study the problem of computing a competitive equilibrium with approximately optimal bundles in Fisher markets with separable piecewise-linear concave (SPLC) utility functions, meaning that every buโ€ฆ

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Evaluating Epistemic Guardrails in AI Reading Assistants: A Behavioral Audit of a Minimal Prototype

Matthew Christian Agustin ยท 2026

Large language model (LLM) reading assistants are increasingly used in settings that require interpretation rather than simple retrieval. In these contexts, the central risk is not only error or unsafโ€ฆ

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Few-Shot Accent Synthesis for ASR with LLM-Guided Phoneme Editing

Yurii Halychanskyi, Nimet Beyza Bozdag, Mark Hasegawa-Johnson, Dilek Hakkani-Tur, Volodymyr Kindratenko ยท 2026

Accented automatic speech recognition (ASR) often degrades due to the limited availability of accented training data. Prior work has explored accent modeling in low-resource settings, but existing appโ€ฆ

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The Synthetic Social Graph: Emergent Behavior in AI Agent Communities

Sungguk Cha, DongWook Kim ยท 2026

Large language model (LLM) agents are increasingly deployed in social settings, yet little is known about how they interact in open-ended environments. We present the first comprehensive sociological โ€ฆ

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A Diagrammatic Axiomatisation of Behavioural Distance of Nondeterministic Processes

Wojciech Rozowski, Robin Piedeleu, Alexandra Silva, Fabio Zanasi ยท 2026

Behavioural distances provide a quantitative approach to comparing the states of transition systems, moving beyond traditional Boolean notions of equivalence. In this paper, we develop a sound and comโ€ฆ

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From Prompt to Physical Actuation: Holistic Threat Modeling of LLM-Enabled Robotic Systems

Neha Nagaraja, Hayretdin Bahsi, Carlo R. da Cunha ยท 2026

As large language models are integrated into autonomous robotic systems for task planning and control, compromised inputs or unsafe model outputs can propagate through the planning pipeline to physicaโ€ฆ

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