Expertini Research Research

Browse Research Papers

9,536+ open-access research outputs.

✕ Clear
🔍 tevian dray 📂 Computer Science
Showing 9536 results for "tevian dray" in Computer Science
Computer Science Preprint PDF DOI

Optimal Transmitter Placement in Realistic Urban Environments

Lukas Taus, Richard Tsai, Jeffrey G. Andrews · 2026

In a wireless network, the spatial location of the transmitters has a large impact on the achievable rate at each user location. The optimal placement of -- for example -- cellular base stations is a …

Read Paper →
Computer Science Preprint PDF DOI

Unsafe and Unused? A History of Utility Code in Mature Open Source Projects

Brandon Keller, Kaitlin Yandik, Angela Ngo, Andy Meneely · 2026

Filenames are a concise means of conveying information about source code to fellow developers. One such convention is util. Commonly understood to stand for "utility", filenames with the letters util …

Read Paper →
Computer Science Preprint PDF DOI

Index-Assisted Stratified Sampling for Online Aggregation

Yunnan Yu, Zhuoyue Zhao · 2026

Ad-hoc queries over frequently updated data in a flat schema are common in real-time data analysis applications and often require very low latency. Online aggregation can achieve so by providing appro…

Read Paper →
Computer Science Preprint PDF DOI

lpviz: Interactive Linear Programming Visualization

Evan Grand, Michael Klamkin · 2026

This paper presents lpviz, a browser-based visualization tool for linear programming. lpviz is deeply interactive, offering an intuitive interface where users can directly draw and edit the feasible r…

Read Paper →
Computer Science Preprint PDF DOI

ReVo: A Cross-Layer Reliable Volumetric Videoconferencing System

Ankur Aditya, Diptyaroop Maji, Lingdong Wang, Bhavya Ramakrishna, Ramesh Sitaraman, Prashant Shenoy · 2026

Volumetric videoconferencing enables immersive six Degrees of Freedom interactions by jointly transmitting visual appearance and 3D geometry. However, delivering volumetric video over today's networks…

Read Paper →
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…

Read Paper →
Computer Science Preprint PDF DOI

The Synthetic Social Graph: Emergent Behavior in AI Agent Communities

Sungguk Cha, DongWook Kim · 2026

Large language model (LLM) agents are increasingly deployed in social settings, yet little is known about how they interact in open-ended environments. We present the first comprehensive sociological …

Read Paper →
Computer Science Preprint PDF DOI

Hot Fixing in the Wild

Carol Hanna, Karine Even-Mendoza, W.B. Langdon, Mar Zamorano Lopez, Justyna Petke, Federica Sarro · 2026

Despite the operational importance of hot fixes, large-scale evidence on how they reshape routine maintenance workflows, particularly in the era of autonomous coding agents, remains limited. We analys…

Read Paper →
Computer Science Preprint PDF DOI

Exploring the Efficiency of 3D-Stacked AI Chip Architecture for LLM Inference with Voxel

Yiqi Liu, Noelle Crawford, Michael Wang, Jilong Xue, Jian Huang · 2026

To overcome the well-known memory bottleneck of AI chips, 3D stacked architectures that employ advanced packaging technology with high-density through-silicon vias (TSVs) pins have proven to be a prom…

Read Paper →
Computer Science Preprint PDF DOI

What Is the Cost of Energy Monitoring? An Empirical Study on the Overhead of RAPL-Based Tools

Jeremy Diamond, Vincenzo Stoico · 2026

The Running Average Power Limit (RAPL) interface is widely used to estimate software energy consumption via CPU and DRAM counters, but tool design differences and high-frequency polling can introduce …

Read Paper →
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…

Read Paper →
Computer Science Preprint PDF DOI

VulStyle: A Multi-Modal Pre-Training for Code Stylometry-Augmented Vulnerability Detection

Chidera Biringa, Ajmal Abbas, Vishnu Selvaraj, Gokhan Kul · 2026

We present VulStyle, a multi-modal software vulnerability detection model that jointly encodes function-level source code, non-terminal Abstract Syntax Tree (AST) structure, and code stylometry (CStyl…

Read Paper →
Computer Science Preprint PDF DOI

Towards a Frugal Photosynthesis Sensing Toolkit for Data-Driven Plant Science Education and Exploration

Qitong Li, Raj Nileshbhai Dave, Rhema Amanda Phiri, Leo Zhang, Xiaoyu Zheng, Ariana Blake, Livia Ford, Sarah Jones, Susan R. Strickler, Nivedita Arora · 2026

Rapid environmental change and advances in data-driven analysis highlight the need not only to use computational tools, but also to foster understanding of the natural world and inspire creativity. Ph…

Read Paper →
Computer Science Preprint PDF DOI

Three Models of RLHF Annotation: Extension, Evidence, and Authority

Steve Coyne · 2026

Preference-based alignment methods, most prominently Reinforcement Learning with Human Feedback (RLHF), use the judgments of human annotators to shape large language model behaviour. However, the norm…

Read Paper →
Computer Science Preprint PDF DOI

Clustering Permutations under the Ulam Metric: A Parameterized Complexity Study

Tian Bai, Fedor V. Fomin, Petr A. Golovach, Yash Hiren More, Simon Wietheger · 2026

Rank aggregation seeks a representative permutation for a collection of rankings and plays a central role in areas such as social choice, information retrieval, and computational biology. Two fundamen…

Read Paper →
Computer Science Preprint PDF DOI

Learning Generalizable Multimodal Representations for Software Vulnerability Detection

Zeming Dong, Yuejun Guo, Qiang Hu, Yao Zhang, Maxime Cordy, Hao Liu, Mike Papadakis, Yongqiang Lyu · 2026

Source code and its accompanying comments are complementary yet naturally aligned modalities-code encodes structural logic while comments capture developer intent. However, existing vulnerability dete…

Read Paper →
Computer Science Preprint PDF DOI

NVLLM: A 3D NAND-Centric Architecture Enabling Edge on-Device LLM Inference

Mingbo Hao, Changwei Yan, Haoyu Cui, Zhihao Yan, Yizhi Ding, Zhangrui Qian, Weiwei Shan · 2026

The rapid growth of LLMs demands high-throughput, memory-capacity-intensive inference on resource-constrained edge devices, where single-batch decoding remains fundamentally memory-bound. Existing out…

Read Paper →
Computer Science Preprint PDF DOI

Health System Scale Semantic Search Across Unstructured Clinical Notes

Faith Wavinya Mutinda, Spandana Makeneni, Anna Lin, Shivaji Dutta, Irit R. Rasooly, Patrick Dibussolo, Shivani Kamath Belman, Hessam Shahriari, Kevin Murphy, Alex B. Ruan, Barbara H. Chaiyachati, Sanjay Chainani, Robert W. Grundmeier, Scott M. Haag, Jeffrey M. Miller, Heather M. Griffis, Ian M. Campbell · 2026

Introduction: Semantic search, which retrieves documents based on conceptual similarity rather than keyword matching, offers substantial advantages for retrieval of clinical information. However, depl…

Read Paper →
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…

Read Paper →
Computer Science Preprint PDF DOI

AHASD: Asynchronous Heterogeneous Architecture for LLM Adaptive Drafting Speculative Decoding on Mobile Devices

Ma Zirui, Fan Zhihua, Li Wenxing, Wu Haibin, Zhang Fulin, Ye Xiaochun, Li Wenming · 2026

Speculative decoding enhances the inference efficiency of large language models (LLMs) by generating drafts using a small draft language model (DLM) and verifying them in batches with a large target l…

Read Paper →
Page 1 of 477 Next →