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๐Ÿ” justin friedlander ๐Ÿ“‚ Computer Science
Showing 689 results for "justin friedlander" in Computer Science
Computer Science Preprint PDF DOI

Thinking like a business: Reconfiguring relationships to sustain open data infrastructures

Kathleen Gregory, Dorothea Strecker ยท 2026

Sustaining open data infrastructures over time is a complex puzzle, involving dynamic funding models and relationships with customers, collaborators, and competitors. Despite their importance, these mโ€ฆ

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Computer Science Preprint PDF DOI

Understanding teens' self-beliefs when learning to construct and deconstruct AI/ML systems: Developing a survey instrument

Luis Morales-Navarro, Deborah Fields, Michael T. Giang, Daniel J. Noh, Yasmin B. Kafai, Danae Metaxa ยท 2026

Despite growing calls to foster AI literacy, there are few available survey instruments designed for children and youth that study computational empowerment alongside construction and deconstruction aโ€ฆ

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Computer Science Preprint PDF DOI

Breaking Euston: Recovering Private Inputs from Secure Inference by Exploiting Subspace Leakage

Jiaqi Zhao, Fengwei Wang ยท 2026

In the 47th IEEE Symposium on Security and Privacy (IEEE S&P 2026), Gao et al. proposed an efficient and user-friendly secure transformer inference framework, namely Euston. In Euston, a singular valuโ€ฆ

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Computer Science Preprint PDF DOI

You can just review things: A digital ethnography of informal peer review

Jay Patel, Joel Chan ยท 2026

Across scholarly communities, manuscripts face similar evaluative rituals: editors invite experts to privately assess submissions through formal peer reviews. This closed, loosely structured, and publโ€ฆ

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Computer Science Preprint PDF DOI

Just Type It in Isabelle! AI Agents Drafting, Mechanizing, and Generalizing from Human Hints

Kevin Kappelmann, Maximilian Schaffeler, Lukas Stevens, Mohammad Abdulaziz, Andrei Popescu, Dmitriy Traytel ยท 2026

Type annotations are essential when printing terms in a way that preserves their meaning under reparsing and type inference. We study the problem of complete and minimal type annotations for rank-one โ€ฆ

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Computer Science Preprint PDF DOI

VoxSafeBench: Not Just What Is Said, but Who, How, and Where

Yuxiang Wang, Hongyu Liu, Yijiang Xu, Qinke Ni, Li Wang, Wan Lin, Kunyu Feng, Dekun Chen, Xu Tan, Lei Wang, Jie Shi, Zhizheng Wu ยท 2026

As speech language models (SLMs) transition from personal devices into shared, multi-user environments, their responses must account for far more than the words alone. Who is speaking, how they sound,โ€ฆ

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Computer Science Preprint PDF DOI

"I Just Don't Want My Work Being Fed Into The AI Blender": Queer Artists on Refusing and Resisting Generative AI

Jordan Taylor, Joel Mire, Alicia DeVrio, Maarten Sap, Haiyi Zhu, Sarah E. Fox ยท 2026

Art-making is a collective social activity through which queer people engage in political resistance, develop identities, archive queer memory, and form community. However, in recent years, generativeโ€ฆ

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Computer Science Preprint PDF DOI

JARVIS: A Just-in-Time AR Visual Instruction System for Cross-Reality Task Guidance

Yusi Sun, Ying Jiang, Jiayin Lu, Yin yang, Yong-Hong Kuo, Chenfanfu Jiang ยท 2026

Many everyday tasks rely on external tutorials such as manuals and videos, requiring users to constantly switch between reading instructions and performing actions, which disrupts workflow and increasโ€ฆ

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Computer Science Preprint PDF DOI

Navigating Marginalization: Toward Justice-Oriented Socio-Technical Design for Parent-Child Learning among Southeast Asian Immigrant Mothers in Taiwan

Ying-Yu Chen, Yang Hong, Yan-Rong Chen, Yi-Chieh Lee ยท 2026

This study investigates how Southeast Asian (SEA) immigrant mothers in Taiwan participate in their children's home-based learning. Drawing on semi-structured interviews and diary studies, we explore hโ€ฆ

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Computer Science Preprint PDF DOI

"Don't Be Afraid, Just Learn": Insights from Industry Practitioners to Prepare Software Engineers in the Age of Generative AI

Daniel Otten, Trevor Stalnaker, Nathan Wintersgill, Oscar Chaparro, Denys Poshyvanyk, Douglas Schmidt ยท 2026

Although tension between university curricula and industry expectations has existed in some form for decades, the rapid integration of generative AI (GenAI) tools into software development has recentlโ€ฆ

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Computer Science Preprint PDF DOI

SpeakSoftly: Scaffolding Nonviolent Communication in Intimate Relationships through LLM-Powered Just-In-Time Interventions

Ka I Chan, Hongbo Lan, Jun Fang, Yuntao Wang, Yuanchun Shi ยท 2026

Conflicts are common in text-based communication, particularly in intimate relationships, where misunderstandings can easily escalate into verbal aggression. To address this, we present SpeakSoftly, aโ€ฆ

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Computer Science Preprint PDF DOI

Justified or Just Convincing? Error Verifiability as a Dimension of LLM Quality

Xiaoyuan Zhu, Kimberly Le Truong, Riccardo Fogliato, Gokul Swamy, Weijian Zhang, Minglai Yang, Longtian Ye, Bangya Liu, Minghao Liu, Andrew Ilyas, Steven Wu ยท 2026

As LLMs are deployed in high-stakes settings, users must judge the correctness of individual responses, often relying on model-generated justifications such as reasoning chains or explanations. Yet, nโ€ฆ

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Computer Science Preprint PDF DOI

Not Just Large: Tall Teams Dominate East Asia's Scientific Production

Siyuan Liu, Wenjin Xie, Wenyu Chen, Tao Jia ยท 2026

Purpose: This study compares the hierarchical structure of scientific teams across countries and investigates factors associated with the observed cross-national differences. Design/methodology/apprโ€ฆ

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Computer Science Preprint PDF DOI

Just Verification of Mutual Exclusion Algorithms with (Non-)Blocking and (Non-)Atomic Registers

Rob van Glabbeek, Bas Luttik, Myrthe Spronck ยท 2026

We verify the correctness of a variety of mutual exclusion algorithms through model checking. We look at algorithms where communication is via shared read/write registers, where those registers can beโ€ฆ

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Computer Science Preprint PDF DOI

Do Agents Repair When Challenged -- or Just Reply? Challenge, Repair, and Public Correction in a Deployed Agent Forum

Luyang Zhang, Yi-Yun Chu, Jialu Wang, Beibei Li, Ramayya Krishnan ยท 2026

As large language model (LLM) agents are deployed in public interactive settings, a key question is whether their communities can sustain challenge, repair, and public correction, or merely produce noโ€ฆ

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Computer Science Preprint PDF DOI

Not Just Duolingo: Supporting Immigrant Language Preservation Through Family-Based Play

Alejandro Ciuba, Zheng YY Li, Aakash Gautam ยท 2026

For immigrants, language preservation is crucial to maintain their identity, but the process of immigration can put a strain on a community's ability to do so. We interviewed eight Nepali immigrants tโ€ฆ

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Computer Science Preprint PDF DOI

AI-Mediated Explainable Regulation for Justice

Thomas Hofweber, Andreas Sudmann, Evangelos Pournaras ยท 2026

Present practice of deciding on regulation faces numerous problems that make adopted regulations static, unexplained, unduly influenced by powerful interest groups, and stained with a perception of ilโ€ฆ

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Computer Science Preprint PDF DOI

"I Just Need GPT to Refine My Prompts": Rethinking Onboarding and Help-Seeking with Generative 3D Modeling Tools

Kanak Gautam, Poorvi Bhatia, Parmit K. Chilana ยท 2026

Learning to use feature-rich software is a persistent challenge, but generative AI tools promise to lower this barrier by replacing complex navigation with natural language prompts. We investigated hoโ€ฆ

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Computer Science Preprint PDF DOI

Observable Channels, Not Just Storage: Evaluating Privacy Leakage in LLM Agent Pipelines

Tao Huang, Chen Hou, Guosen Wu, Jiayang Meng ยท 2026

Privacy leakage in LLM agents is often studied through individual storage or execution components, such as memory modules, retrieval pipelines, or tool-mediated artifacts. However, these settings are โ€ฆ

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Computer Science Preprint PDF DOI

Automating Sexual Injustice: Epistemic Injustice in Fembot Design and Feminist Directions for Equitable HRI

Surabhi Bhardwaj ยท 2026

Current AI-enabled female sex robots, or "fembots," are primarily designed to simulate female sexual responses through a lens of male-centric bias and pornographic stereotypes. This paper analyses femโ€ฆ

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