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🔍 robin langer 📂 Computer Science
Showing 11941 results for "robin langer" in Computer Science
Computer Science Preprint PDF DOI

AnTi-MiCS: Analytical Framework for Bounding Time in Embedded Mixed-Criticality Systems

Behnaz Ranjbar, Akash Kumar · 2026

In Mixed-Criticality (MC) systems, although the high Worst-Case Execution Time (WCET) serves as a conservative upper bound representing the task's maximum execution time under all conditions, obtainin…

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Computer Science Preprint PDF DOI

ZipCCL: Efficient Lossless Data Compression of Communication Collectives for Accelerating LLM Training

Wenxiang Lin, Xinglin Pan, Ruibo Fan, Shaohuai Shi, Xiaowen Chu · 2026

Communication has emerged as a critical bottleneck in the distributed training of large language models (LLMs). While numerous approaches have been proposed to reduce communication overhead, the poten…

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Computer Science Preprint PDF DOI

SecGoal: A Benchmark for Security Goal Extraction and Formalization from Protocol Documents

Dawei Huang, Hui Li, Haonan Feng, Jingjing Guan, Yueshuang Jiao, Bo Jia (Beijing University of Posts, Telecommunications) · 2026

Formal verification provides rigorous guarantees for cryptographic security, yet automating the extraction and formalization of security goals from natural language protocol documents remains a major …

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Computer Science Preprint PDF DOI

A Reproducibility Study of LLM-Based Query Reformulation

Amin Bigdeli, Radin Hamidi Rad, Hai Son Le, Mert Incesu, Negar Arabzadeh, Charles L. A. Clarke, Ebrahim Bagheri · 2026

Large Language Models (LLMs) are now widely used for query reformulation and expansion in Information Retrieval, with many studies reporting substantial effectiveness gains. However, these results are…

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Computer Science Preprint PDF DOI

RCW-CIM: A Digital CIM-based LLM Accelerator with Read-Compute/Write

Yan-Cheng Guo, Tian-Sheuan Chang, Jian-Wei Su · 2026

Digital computing-in-memory (DCIM) has emerged as a promising solution for large language model (LLM) acceleration by minimizing data transfers between external DRAM and on-chip accelerators while mai…

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Computer Science Preprint PDF DOI

End-to-End and Phase-Level Performance Optimization for Hyperledger Fabric

Pavan Sollu, Aniruddha Mukherjee, Divya Pulivarthi, S.R. Eshwar, Gugan Thoppe, Kshitij Pratihast, Tittu Varghese, Hrishikesh Nashikkar, Yogesh Simmhan · 2026

Hyperledger Fabric (HLF) is a modular, permissioned blockchain widely adopted in enterprise settings. Enhancing its throughput and latency remains challenging, as optimization decisions made in one ph…

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Computer Science Preprint PDF DOI

Low-Complexity Run-Length-Limited ISI-Mitigation (RLIM) Codes for Molecular Communication

Melih Sahin, Ozgur B. Akan · 2026

Molecular communication suffers from severe inter-symbol interference, which makes constrained coding essential for reliable transmission. Run-length-limited ISI-mitigation codes are attractive becaus…

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Computer Science Preprint PDF DOI

Efficient Training on Multiple Consumer GPUs with RoundPipe

Yibin Luo, Shiwei Gao, Huichuan Zheng, Youyou Lu, Jiwu Shu · 2026

Fine-tuning Large Language Models (LLMs) on consumer-grade GPUs is highly cost-effective, yet constrained by limited GPU memory and slow PCIe interconnects. Pipeline parallelism combined with CPU offl…

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Computer Science Preprint PDF DOI

A 3GPP Perspective on Spectrum Sharing for the 5G-to-6G Migration: From DSS to MRSS

Xingqin Lin · 2026

Dynamic spectrum sharing (DSS) played an important role in the 4G-to-5G transition by allowing 5G new radio (NR) to enter valuable legacy spectrum without immediate static refarming. Yet practical dep…

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Computer Science Preprint PDF DOI

Comparing Smart Contract Paradigms: A Preliminary Study of Security and Developer Experience

Matteo Vaccargiu, Andrea Pinna, Maria Ilaria Lunesu, Giuseppe Destefanis · 2026

Smart contract vulnerabilities have caused billions in financial losses, raising questions about whether programming language paradigms can reduce security overhead. While imperative languages like So…

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Computer Science Preprint PDF DOI

What Makes Software Bugs Escape Testing? Evidence from a Large-Scale Empirical Study

Domenico Cotroneo, Giuseppe De Rosa, Cristina Improta, Benedetta Gaia Varriale · 2026

Understanding how software defects manifest and evolve in production environments is critical for improving reliability. While previous research has largely focused on pre-release defects, the nature …

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Computer Science Preprint PDF DOI

Sparse-on-Dense: Area and Energy-Efficient Computing of Sparse Neural Networks on Dense Matrix Multiplication Accelerators

Hyunsung Yoon, Sungju Ryu, Jae-Joon Kim · 2026

As the size of Deep Neural Networks (DNNs) increases dramatically to achieve high accuracy, the DNNs require a large amount of computations and memory footprint. Pruning, which produces a sparse neura…

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Computer Science Preprint PDF DOI

FloatSOM: GPU-Accelerated, Distributed, Topology-Flexible Self-Organizing Maps

Tony Xu, Sarah Klamt, Katherine Turner, Anne Brustle, Felix Marsh-Wakefield, Givanna Putri · 2026

GPU-accelerated Self-Organizing Map (SOM) implementations are among the most competitive options for large-scale SOM analysis, but growing dataset sizes increasingly challenge their practical use beca…

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Computer Science Preprint PDF DOI

An Empirical Study of Speculative Decoding on Software Engineering Tasks

Yijia Li, Junkai Chen, Xing Hu, Xin Xia · 2026

Large Language Models (LLMs) have become widely used for Software Engineering (SE) tasks, spanning from function-level code generation to complex repository-level workflows. However, the high latency …

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Computer Science Preprint PDF DOI

Path-Reporting Distance Oracles for Vertex-Labeled Graphs

Ofer Neiman, Alon Spector · 2026

Let $G=(V,E)$ be a weighted undirected graph, with $n$ vertices. A distance oracle is a data structure that can quickly answer distance queries, with some stretch factor. A seminal work of \cite{TZ01}…

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Computer Science Preprint PDF DOI

UIGaze: How Closely Can VLMs Approximate Human Visual Attention on User Interfaces?

Min Song, Yoonseong Lee, Yeonhu Seo · 2026

Vision Language Models (VLMs) have demonstrated strong capabilities in understanding visual content, yet their ability to predict where humans look on user interfaces remains unexplored. We present UI…

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Computer Science Preprint PDF DOI

AMMA: A Multi-Chiplet Memory-Centric Architecture for Low-Latency 1M Context Attention Serving

Zhongkai Yu, Haotian Ye, Chenyang Zhou, Ohm Rishabh Venkatachalam, Zaifeng Pan, Zhengding Hu, Junsung Kim, Won Woo Ro, Po-An Tsai, Shuyi Pei, Yangwook Kang, Yufei Ding · 2026

All current LLM serving systems place the GPU at the center, from production-level attention-FFN disaggregation to NVIDIA's Rubin GPU-LPU heterogeneous platform. Even academic PIM/PNM proposals still …

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Computer Science Preprint PDF DOI

From Citation Selection to Citation Absorption: A Measurement Framework for Generative Engine Optimization Across AI Search Platforms

Zhang Kai, He Xinyue, Yao Jingang · 2026

Generative search engines increasingly determine whether online information is merely discoverable, cited as a source, or actually absorbed into generated answers. This paper proposes a two-stage meas…

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Computer Science Preprint PDF DOI

Spreadsheet Modeling Experiments Using GPTs on Small Problem Statements and the Wall Task

Thomas A. Grossman, Yuan Chen, Sopiko Datuashvili · 2026

This paper investigates how GPT-based tools can assist in building reusable analytical spreadsheet models. After a screening, we evaluate five GPT extensions and select Excel AI by pulsrai.com for det…

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Computer Science Preprint PDF DOI

PLMGH: What Matters in PLM-GNN Hybrids for Code Classification and Vulnerability Detection

Mohamed Taoufik Kaouthar El Idrissi, Edward Zulkoski, Mohammad Hamdaqa · 2026

Code understanding models increasingly rely on pretrained language models (PLMs) and graph neural networks (GNNs), which capture complementary semantic and structural information. We conduct a control…

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