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Computer Science Preprint PDF DOI

Reproducing Adaptive Reranking for Reasoning-Intensive IR

Mandeep Rathee, V Venktesh, Sean MacAvaney, Avishek Anand · 2026

The classical cascading pipeline of retrieve--rerank suffers from a bounded recall problem, stemming from limitations of the first-stage retriever. Most current approaches address the bounded recall p…

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Computer Science Preprint PDF DOI

Locality for Codes over the Integers

Giulia Cavicchioni, Eleonora Guerrini, Julien Lavauzelle · 2026

In this work, we study the codes over the integers with locality constraints. We introduce a weighted notion of locality over $\mathbb{Z}/q_1\mathbb{Z} \times \cdots \times \mathbb{Z}/q_n\mathbb{Z}$ a…

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Computer Science Preprint PDF DOI

Diffusion Reconstruction towards Generalizable Audio Deepfake Detection

Bo Cheng, Songjun Cao, Xiaoming Zhang, Jie Chen, Long Ma, Fei Chen · 2026

Achieving robust generalization against unseen attacks remains a challenge in Audio Deepfake Detection (ADD), driven by the rapid evolution of generative models. To address this, we propose a framewor…

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Computer Science Preprint PDF DOI

Hands-on PDC in Undergraduate Computing Education

Hala ElAarag, Anas Gamal Aly · 2026

Parallel and Distributed Computing (PDC) is a critical yet conceptually challenging area of the undergraduate computer science curriculum. While students often encounter these concepts in theory, few …

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Computer Science Preprint PDF DOI

RTCFake: Speech Deepfake Detection in Real-Time Communication

Jun Xue, Zhuolin Yi, Yihuan Huang, Yanzhen Ren, Yujie Chen, Cunhang Fan, Zicheng Su, Yonghong Zhang, Bo Cai · 2026

With the rapid advancement of speech generation technologies, the threat posed by speech deepfakes in real-time communication (RTC) scenarios has intensified. However, existing detection studies mainl…

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Computer Science Preprint PDF DOI

Designing a Visualization Atlas: Lessons & Reflections from The UK Co-Benefits Atlas for Climate Mitigation

Jinrui Wang, Alexis Pister, Sian Phillips, Sarah Bissett, Ruaidhri Higgins-Lavery, Clare Wharmby, Andrew Sudmant, Uta Hinrichs, Benjamin Bach · 2026

This paper reports on the process of designing the UK Co-Benefits Atlas, which communicates and publicizes data for climate mitigation. Visualization atlases -- an emerging type of platform to make da…

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Computer Science Preprint PDF DOI

T2S-Metrics: Unified Library for Evaluating SPARQL Queries Generated From Natural Language

Yousouf Taghzouti (ICN, WIMMICS, Laboratoire I3S - SPARKS), Tao Jiang (ICN), Camille Juigne (WIMMICS, Laboratoire I3S - SPARKS), Benjamin Navet (ICN, WIMMICS, Laboratoire I3S - SPARKS), Fabien Gandon (WIMMICS, Laboratoire I3S - SPARKS), Franck Michel (Laboratoire I3S - SPARKS, WIMMICS), Louis-Felix Nothias (ICN) · 2026

The evaluation of Question Answering (QA) systems over Knowledge Graphs has historically suffered from fragmentation, inconsistency, and limited reproducibility. While significant progress has been ma…

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Computer Science Preprint PDF DOI

Environmental Sound Deepfake Detection Using Deep-Learning Framework

Lam Pham, Khoi Vu, Dat Tran, Phat Lam, Vu Nguyen, David Fischinger, Alexander Schindler, Martin Boyer, Son Le · 2026

In this paper, we propose a deep-learning framework for environmental sound deepfake detection (ESDD) -- the task of identifying whether the sound scene and sound event in an input audio recording is …

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Computer Science Preprint PDF DOI

Regulating Artificial Intimacy: From Locks and Blocks to Relational Accountability

Henry Fraser, Jessica M. Szczuka, Raffaele F. Ciriello · 2026

A series of high-profile tragedies involving companion chatbots has triggered an unusually rapid regulatory response. Several jurisdictions, including Australia, California, and New York, have introdu…

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Computer Science Preprint PDF DOI

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems

Jin Chen, Shangyu Zhang, Bin Hu, Chao Zhou, Junwei Pan, Gengsheng Xue, Wentao Ning, Gengyu Weng, Wang Zheng, Shaohua Liu, Zeen Xu, Chengyuan Mai, Shijie Quan, Tingyu Jiang, Lifeng Wang, Shudong Huang, Chengguo Yin, Haijie Gu, Jie Jiang · 2026

The scaling laws for recommender systems have been increasingly validated, where MetaFormer-based architectures consistently benefit from increased model depth, hidden dimensionality, and user behavio…

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Computer Science Preprint PDF DOI

ICLAD: In-Context Learning with Comparison-Guidance for Audio Deepfake Detection

Benjamin Chou, Yi Zhu, Surya Koppisetti · 2026

Audio deepfakes pose a significant security threat, yet current state-of-the-art (SOTA) detection systems do not generalize well to realistic in-the-wild deepfakes. We introduce a novel \textbf{I}n-\t…

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Computer Science Preprint PDF DOI

New Kids: An Architecture and Performance Investigation of Second-Generation Serverless Platforms

Trever Schirmer, Aris Wiegand, Lucca di Benedetto, Linus Gustafsson, Natalie Carl, Tobias Pfandzelter, David Bermbach · 2026

With the ever-increasing usage of serverless computing in both industry and academia, it is essential to understand the mechanisms that power the underlying platforms. As serverless is more than ten y…

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Computer Science Preprint PDF DOI

Sample Is Feature: Beyond Item-Level, Toward Sample-Level Tokens for Unified Large Recommender Models

Shuli Wang, Junwei Yin, Changhao Li, Senjie Kou, Chi Wang, Yinqiu Huang, Yinhua Zhu, Haitao Wang, Xingxing Wang · 2026

Scaling industrial recommender models has followed two parallel paradigms: \textbf{sample information scaling} -- enriching the information content of each training sample through deeper and longer be…

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Computer Science Preprint PDF DOI

Wave-Based Dispatch for Circuit Cutting in Hybrid HPC--Quantum Systems

Ricard S. Garcia-Raigada, Josep Jorba, Sergio Iserte · 2026

Hybrid High-performance Computing (HPC)-quantum workloads based on circuit cutting decompose large quantum circuits into independent fragments, but existing frameworks tightly couple cutting logic to …

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Computer Science Preprint PDF DOI

STEP-Parts: Geometric Partitioning of Boundary Representations for Large-Scale CAD Processing

Shen Fan, Miko{l}aj Kida, Przemyslaw Musialski · 2026

Many CAD learning pipelines discretize Boundary Representations (B-Reps) into triangle meshes, discarding analytic surface structure and topological adjacency and thereby weakening consistent instance…

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Computer Science Preprint PDF DOI

Near-Optimal Constructive Bounds for $\ell_2$ Prefix Discrepancy and Steinitz Problems via Affine Spectral Independence

Kunal Dutta, Agastya Vibhuti Jha, Haotian Jiang · 2026

A classical result of Steinitz from 1913 \cite{Ste13}, answering an earlier question of Riemann and L\'evy (e.g., \cite{Lev05}), states that for any norm $\|\cdot\|$ in $\mathbb{R}^d$ and any set of v…

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Computer Science Preprint PDF DOI

Automated SVA Generation with LLMs

Lik Tung Fu, Qihang Wang, Shaokai Ren, Mengli Zhang, Sichao Yang, Jun Liu, Xi Wang · 2026

Functional verification remains a dominant cost in modern IC development, and SystemVerilog Assertions (SVAs) are critical for simulation-based monitoring and formal property checking. However, writin…

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Computer Science Preprint PDF DOI

SEED: A Large-Scale Benchmark for Provenance Tracing in Sequential Deepfake Facial Edits

Mengieong Hoi, Zhedong Zheng, Ping Liu, Wei Liu · 2026

Deepfake content on social networks is increasingly produced through multiple \emph{sequential} edits to biometric data such as facial imagery. Consequently, the final appearance of an image often ref…

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Computer Science Preprint PDF DOI

Intent Lenses: Inferring Capture-Time Intent to Transform Opportunistic Photo Captures into Structured Visual Notes

Ashwin Ram, Aeneas Leon Sommer, Martin Schmitz, Jurgen Steimle · 2026

Opportunistic photo capture (e.g., slides, exhibits, or artifacts) is a common strategy for preserving information encountered in information-rich environments for later revisitation. While fast and m…

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Computer Science Preprint PDF DOI

Generalizing Video DeepFake Detection by Self-generated Audio-Visual Pseudo-Fakes

Zihe Wei, Yuezun Li · 2026

Detecting video deepfakes has become increasingly urgent in recent years. Given the audio-visual information in videos, existing methods typically expose deepfakes by modeling cross-modal corresponden…

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