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🔍 yury polyanskiy 📂 Computer Science
Showing 125 results for "yury polyanskiy" in Computer Science
Computer Science Preprint PDF DOI

Diffusion Denoiser Achievable Analysis for Finite Blocklength Unsourced Random Access

Yuming Han, Yuxin Long · 2026

Polyanskiy proposed a framework for the unsourced multiple access channel (MAC) problem where users employ a common codebook in the finite blocklength regime. However, existing approaches handle chann…

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Computer Science Preprint PDF DOI

Doctoral Theses in France (1985-2025): A Linked Dataset of PhDs, Academic Networks, and Institutions

William Aboucaya, Dastan Jasim · 2026

This paper presents a comprehensive dataset of doctoral theses defended in France between 1985 and 2025, constructed from multiple national academic metadata sources. The dataset is primarily based on…

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Computer Science Preprint PDF DOI

SkillSieve: A Hierarchical Triage Framework for Detecting Malicious AI Agent Skills

Yinghan Hou, Zongyou Yang · 2026

OpenClaw's ClawHub marketplace hosts over 13,000 community-contributed agent skills, and between 13% and 26% of them contain security vulnerabilities according to recent audits. Regex scanners miss ob…

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Computer Science Preprint PDF DOI

Can Large Language Models Replace Human Coders? Introducing ContentBench

Michael Haman · 2026

Can low-cost large language models (LLMs) take over the interpretive coding work that still anchors much of empirical content analysis? This paper introduces ContentBench, a public benchmark suite tha…

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Computer Science Preprint PDF DOI

Vibe Coding on Trial: Operating Characteristics of Unanimous LLM Juries

Muhammad Aziz Ullah, Abdul Serwadda · 2026

Large Language Models (LLMs) are now good enough at coding that developers can describe intent in plain language and let the tool produce the first code draft, a workflow increasingly built into tools…

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Computer Science Preprint PDF DOI

Achievability Bounds of Coding with Finite Blocklength for Gaussian Broadcast Channels

Ayse Unsal, Jean-Marie Gorce · 2026

In this paper, we study the achievable performance of dirty paper coding for the Gaussian broadcast channel (BC) with finite blocklength and we propose two different achievability bounds for this prob…

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Computer Science Preprint PDF DOI

Voting-based Pitch Estimation with Temporal and Frequential Alignment and Correlation Aware Selection

Junya Koguchi, Tomoki Koriyama · 2026

The voting method, an ensemble approach for fundamental frequency estimation, is empirically known for its robustness but lacks thorough investigation. This paper provides a principled analysis and im…

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Computer Science Preprint PDF DOI

Independence of Approximate Clones

Theo Delemazure · 2026

In an ordinal election, two candidates are said to be perfect clones if every voter ranks them adjacently. The independence of clones axiom then states that removing one of the two clones should not c…

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Computer Science Preprint PDF DOI

Predicting Juror Predisposition Using Machine Learning: A Comparative Study of Human and Algorithmic Jury Selection

Ashwin Murthy, Ramesh Krishnamaneni, Sean Chacon, Kelsey Carlson, Ranjita Naik · 2026

Prior studies on the effectiveness of professional jury consultants in predicting juror proclivities have yielded mixed results, and few have rigorously evaluated consultant performance against chance…

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Computer Science Preprint PDF DOI

Platforms as Crime Scene, Judge, and Jury: How Victim-Survivors of Non-Consensual Intimate Imagery Report Abuse Online

Li Qiwei, Katelyn Kennon, Nicole Bedera, Asia A. Eaton, Eric Gilbert, Sarita Schoenebeck · 2025

Non-consensual intimate imagery (NCII), also known as image-based sexual abuse (IBSA), is mediated through online platforms. Victim-survivors must turn to platforms to collect evidence and request con…

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Computer Science Preprint PDF DOI

A Progressive Evaluation Framework for Multicultural Analysis of Story Visualization

Janak Kapuriya, Ali Hatami, Paul Buitelaar · 2025

Recent advancements in text-to-image generative models have improved narrative consistency in story visualization. However, current story visualization models often overlook cultural dimensions, resul…

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Computer Science Preprint PDF DOI

On Condorcet's Jury Theorem with Abstention

Reshef Meir, Ganesh Ghalme · 2025

The well-known Condorcet Jury Theorem states that, under majority rule, the better of two alternatives is chosen with probability approaching one as the population grows. We study an asymmetric settin…

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Computer Science Preprint PDF DOI

R v F (2025): Addressing the Defence of Hacking

Junade Ali · 2025

The defence of hacking (sometimes referred to as the "Trojan Horse Defence" or the "SODDI Defence", Some Other Dude Did It Defence) is prevalent in computer cases and a challenge for those working in …

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Computer Science Preprint PDF DOI

A Domain Knowledge Informed Approach for Anomaly Detection of Electric Vehicle Interior Sounds

Deepti Kunte, Bram Cornelis, Claudio Colangeli, Karl Janssens, Brecht Van Baelen, Konstantinos Gryllias · 2025

The detection of anomalies in automotive cabin sounds is critical for ensuring vehicle quality and maintaining passenger comfort. In many real-world settings, this task is more appropriately framed as…

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Computer Science Preprint PDF DOI

The Generative Reasonable Person

Yonathan A. Arbel · 2025

This Article introduces the generative reasonable person, a new tool for estimating how ordinary people judge reasonableness. As claims about AI capabilities often outpace evidence, the Article procee…

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Computer Science Preprint PDF DOI

A New Incentive Model For Content Trust

Lucas Barbosa, Sam Kirshner, Rob Kopel, Eric Tze Kuan Lim, Tom Pagram · 2025

This paper outlines an incentive-driven and decentralized approach to verifying the veracity of digital content at scale. Widespread misinformation, an explosion in AI-generated content and reduced re…

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Computer Science Preprint PDF DOI

An LLM-as-Judge Metric for Bridging the Gap with Human Evaluation in SE Tasks

Xin Zhou, Kisub Kim, Ting Zhang, Martin Weyssow, Luis F. Gomes, Guang Yang, Kui Liu, Xin Xia, David Lo · 2025

Large Language Models (LLMs) and other automated techniques have been increasingly used to support software developers by generating software artifacts such as code snippets, patches, and comments. Ho…

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Computer Science Preprint PDF DOI

A Formal Proof of Complexity Bounds on Diophantine Equations

Jonas Bayer, Marco David · 2025

We present a universal construction of Diophantine equations with bounded complexity in Isabelle/HOL. This is a formalization of our own work in number theory. Hilbert's Tenth Problem was answered n…

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Computer Science Preprint PDF DOI

X-Guard: Multilingual Guard Agent for Content Moderation

Bibek Upadhayay, Vahid Behzadan, Ph.D · 2025

Large Language Models (LLMs) have rapidly become integral to numerous applications in critical domains where reliability is paramount. Despite significant advances in safety frameworks and guardrails,…

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Computer Science Preprint PDF DOI

Prompt, Divide, and Conquer: Bypassing Large Language Model Safety Filters via Segmented and Distributed Prompt Processing

Johan Wahreus, Ahmed Hussain, Panos Papadimitratos · 2025

Large Language Models (LLMs) have transformed task automation and content generation across various domains while incorporating safety filters to prevent misuse. We introduce a novel jailbreaking fram…

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