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🔍 alden walker 📂 Computer Science
Showing 749 results for "alden walker" in Computer Science
Computer Science Preprint PDF DOI

Strongly Refuting Random CSP without Literals

Siu On Chan, Tommaso d'Orsi, Jeff Xu · 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-wis…

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Computer Science Preprint PDF DOI

Value-Sensitive AI for Prayer: Balancing the Agencies Between Human and AI Agents in Spiritual Context

Soonho Kwon, Dong Whi Yoo, Shaowen Bardzell, Younah Kang · 2026

We present four conceptual value-sensitive AI systems to examine how the presence of AI could influence praying experiences. Drawing on key values and practices associated with praying identified thro…

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Computer Science Preprint PDF DOI

Densification Converses for Walker Constellations With Explicit Constants and Reuse Scaling Laws

Ali Khalesi, Francois Baccelli · 2026

We establish densification converses for Walker LEO constellations under nearest-visible association in the full-frequency-reuse setting. Performance is evaluated under the invariant (stationary) meas…

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Computer Science Preprint PDF DOI

Prism-Reranker: Beyond Relevance Scoring -- Jointly Producing Contributions and Evidence for Agentic Retrieval

Dun Zhang · 2026

Modern retrieval pipelines increasingly serve downstream consumers like retrieval-augmented generation (RAG) and autonomous agents that need more than a scalar relevance score. A reranker that only te…

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Computer Science Preprint PDF DOI

Call-Chain-Aware LLM-Based Test Generation for Java Projects

Guancheng Wang, Qinghua Xu, Lionel C. Briand, Zhaoqiang Guo, Kui Liu · 2026

Large language models (LLMs) have recently shown strong potential for generating project-level unit tests. However, existing state-of-the-art approaches primarily rely on execution-path information to…

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Computer Science Preprint PDF DOI

CroSatFL: Energy-Efficient Federated Learning with Cross-Aggregation for Satellite Edge Computing

Nan Yang, Bahman Javadi, Rodrigo Neves Calheiros, David Boland, Philip Leong · 2026

Low Earth Orbit (LEO) mega-constellations extend the cloud-to-edge continuum into space, enabling satellite edge computing. However, Federated Learning (FL) in this environment is fundamentally energy…

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Computer Science Preprint PDF DOI

Inter-Satellite Link Optimization for Low-Latency Global Networking

Arman Mollakhani, Jerayu Tiamraj, Shu-Jie Cao, Dongning Guo · 2026

Large-scale low-Earth-orbit satellite constellations offer a promising platform for global low-latency networking, aided by faster propagation in free space than in fiber and copper. In such systems, …

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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 · 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,…

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Computer Science Preprint PDF DOI

Traffic-Aware Domain Partitioning and Load-Balanced Inter-Domain Routing for LEO Satellite Networks

Chen Zhou, Jiangtao Luo, Yongyi Ran · 2026

Low Earth Orbit (LEO) satellite networks provide global coverage and low latency, yet high node mobility, uneven traffic distribution, and stochastic link failures pose severe challenges for inter-dom…

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Computer Science Preprint PDF DOI

All Eyes on the Ranker: Participatory Auditing to Surface Blind Spots in Ranked Search Results

Anna Marie Rezk, Patrizia Di Campli San Vito, Ayah Soufan, Graham McDonald, Craig Macdonald, Iadh Ounis · 2026

Search engines that present users with a ranked list of search results are a fundamental technology for providing public access to information. Evaluations of such systems are typically conducted by d…

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Computer Science Preprint PDF DOI

Security Concerns in Generative AI Coding Assistants: Insights from Online Discussions on GitHub Copilot

Nicolas E. Diaz Ferreyra, Monika Swetha Gurupathi, Zadia Codabux, Nalin Arachchilage, Riccardo Scandariato · 2026

Generative Artificial Intelligence (GenAI) has become a central component of many development tools (e.g., GitHub Copilot) that support software practitioners across multiple programming tasks, includ…

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Computer Science Preprint PDF DOI

Semantic Trimming and Auxiliary Multi-step Prediction for Generative Recommendation

Tianyu Zhan, Kairui Fu, Chengfei Lv, Zheqi Lv, Shengyu Zhang · 2026

Generative Recommendation (GR) has recently transitioned from atomic item-indexing to Semantic ID (SID)-based frameworks to capture intrinsic item relationships and enhance generalization. However, th…

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Computer Science Preprint PDF DOI

MIRAGE: Online LLM Simulation for Microservice Dependency Testing

XinRan Zhang · 2026

Existing approaches to microservice dependency simulation--record-replay, pattern-mining, and specification-driven stubs--generate static artifacts before test execution. These artifacts can only repr…

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Computer Science Preprint PDF DOI

ENCRUST: Encapsulated Substitution and Agentic Refinement on a Live Scaffold for Safe C-to-Rust Translation

Hohyun Sim, Hyeonjoong Cho, Ali Shokri, Zhoulai Fu, Binoy Ravindran · 2026

We present Encapsulated Substitution and Agentic Refinement on a Live Scaffold for Safe C-to-Rust Translation, a two-phase pipeline for translating real-world C projects to safe Rust. Existing approac…

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Computer Science Preprint PDF DOI

The edge of the asymptotic spectrum of tensors

Josh Alman, Baitian Li, Kevin Pratt · 2026

Strassen founded the theory of the asymptotic spectrum of tensors to study the complexity of matrix multiplication. A central challenge in this theory is to explicitly construct new spectral points. I…

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Computer Science Preprint PDF DOI

Codebase-Memory: Tree-Sitter-Based Knowledge Graphs for LLM Code Exploration via MCP

Martin Vogel, Falk Meyer-Eschenbach, Severin Kohler, Elias Grunewald, Felix Balzer · 2026

Large Language Model (LLM) coding agents typically explore codebases through repeated file-reading and grep-searching, consuming thousands of tokens per query without structural understanding. We pres…

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Computer Science Preprint PDF DOI

"An Endless Stream of AI Slop": The Growing Burden of AI-Assisted Software Development

Sebastian Baltes, Marc Cheong, Christoph Treude · 2026

"AI slop", that is, low-quality AI-generated content, is increasingly affecting software development, from generated code and pull requests to documentation and bug reports. However, there is limited …

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Computer Science Preprint PDF DOI

Two-Stage Acoustic Adaptation with Gated Cross-Attention Adapters for LLM-Based Multi-Talker Speech Recognition

Hao Shi, Yuan Gao, Xugang Lu, Tatsuya Kawahara · 2026

Large Language Models (LLMs) are strong decoders for Serialized Output Training (SOT) in two-talker Automatic Speech Recognition (ASR), yet their performance degrades substantially in challenging cond…

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Computer Science Preprint PDF DOI

Random tensor isomorphism under orthogonal and unitary actions

Jeremy Chizewer, Samuel Everett, Deven Mithal, Youming Qiao · 2026

We study the problem of testing whether two tensors in $\mathbb{R}^\ell\otimes \mathbb{R}^m\otimes \mathbb{R}^n$ are isomorphic under the natural action of orthogonal groups $\textbf{O}(\ell, \mathbb{…

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Computer Science Preprint PDF DOI

ReCUBE: Evaluating Repository-Level Context Utilization in Code Generation

Jiseung Hong, Benjamin G. Ascoli, Jinho D. Choi · 2026

Large Language Models (LLMs) have recently emerged as capable coding assistants that operate over large codebases through either agentic exploration or full-context generation. Existing benchmarks cap…

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