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Showing 48784 results for "software"
AI & Data Science Preprint PDF DOI

From GPT-3 to GPT-5: Mapping their capabilities, scope, limitations, and consequences

Hina Afridi, Habib Ullah, Sultan Daud Khan, Mohib Ullah ยท 2026

We present the progress of the GPT family from GPT-3 through GPT-3.5, GPT-4, GPT-4 Turbo, GPT-4o, GPT-4.1, and the GPT-5 family. Our work is comparative rather than merely historical. We investigates โ€ฆ

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Engineering Preprint PDF DOI

Deep Learning-Based Physical Layer Authentication Using 5G NR Sounding Reference Signals: A Temporal Generalization Study on Real Testbed Data

Sachinkumar B. Mallikarjun, Marvin Reski, Andreas Weinand, Hans D. Schotten ยท 2026

Physical Layer Authentication (PLA) exploits the spatial uniqueness of wireless channel characteristics in order to authenticate devices without recourse to higher-layer cryptographic protocols, whichโ€ฆ

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AI & Data Science Preprint PDF DOI

AI Organizations are More Effective but Less Aligned than Individual Agents

Judy Hanwen Shen, Daniel Zhu, Siddarth Srinivasan, Henry Sleight, Lawrence T. Wagner III, Morgan Jane Matthews, Erik Jones, Jascha Sohl-Dickstein ยท 2026

AI is increasingly deployed in multi-agent systems; however, most research considers only the behavior of individual models. We experimentally show that multi-agent "AI organizations" are simultaneousโ€ฆ

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Computer Science Preprint PDF DOI

Organizational Security Resource Estimation via Vulnerability Queueing

Abdullah Y. Etcibasi, Zachary Dobos, C. Emre Koksal ยท 2026

We provide an approach that closely estimates an organization's cyber resources directly from vulnerability timestamps, using a non-stationary queueing framework. Traditional attack-surface metrics opโ€ฆ

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AI & Data Science Preprint PDF DOI

Credit-Budgeted ICPC-Style Coding: When Agents Must Pay for Every Decision

Lingfeng Zhou, Junhao Shi, Jin Gao, Dequan Wang ยท 2026

Current evaluations of autonomous coding agents assume an unrealistic, infinite-resource environment. However, real-world software engineering is a resource-bound competition. As we scale toward largeโ€ฆ

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Computer Science Preprint PDF DOI

MR-Coupler: Automated Metamorphic Test Generation via Functional Coupling Analysis

Congying Xu, Hengcheng Zhu, Songqiang Chen, Jiarong Wu, Valerio Terragni, Shing-Chi Cheung ยท 2026

Metamorphic testing (MT) is a widely recognized technique for alleviating the oracle problem in software testing. However, its adoption is hindered by the difficulty of constructing effective metamorpโ€ฆ

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Computer Science Preprint PDF DOI

FlexVector: A SpMM Vector Processor with Flexible VRF for GCNs on Varying-Sparsity Graphs

Bohan Li, Shengmin Li, Xinyu Shi, Enyi Yao, Francky Catthoor, Simei Yang ยท 2026

Graph Convolutional Networks (GCNs) are widely adopted for tasks involving relational or graph-structured data and can be formulated as two-stage sparse-dense matrix multiplication (SpMM) during inferโ€ฆ

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Computer Science Preprint PDF DOI

Full Feature Spiking Neural Network Simulation on Micro-Controllers for Neuromorphic Applications at the Edge

L. Niedermeier, J. L. Krichmar ยท 2026

Microcontroller units (MCU), which have an order of magnitude lower Size, Weight and Power (SWaP) than standard computers, makes them suitable for applications at the edge. Neuromorphic computing, whiโ€ฆ

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Engineering Preprint PDF DOI

GPU-Accelerated Continuous-Time Successive Convexification for Contact-Implicit Legged Locomotion

Samuel C. Buckner, Purnanand Elango ยท 2026

Contact-implicit trajectory optimization (CITO) enables the automatic discovery of contact sequences, but most methods rely on fine time discretization to capture all contact events accurately, which โ€ฆ

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Computer Science Preprint PDF DOI

Engineering Resource-constrained Software Systems with DNN Components: a Concept-based Pruning Approach

Federico Formica, Andrea Rota, Aurora Francesca Zanenga, Andrea Bombarda, Mark Lawford, Lionel C. Briand, Claudio Menghi ยท 2026

Deep Neural Networks (DNNs) are widely used by engineers to solve difficult problems that require predictive modeling from data. However, these models are often massive, with millions or billions of pโ€ฆ

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Computer Science Preprint PDF DOI

Can Coding Agents Be General Agents?

Maksim Ivanov, Abhijay Rana, Gokul Prabhakaran ยท 2026

As coding agents have seen rapid capability and adoption gains, users are applying them to general tasks beyond software engineering. In this post, we investigate whether coding agents can successfullโ€ฆ

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Computer Science Preprint PDF DOI

Automating Structural Analysis Across Multiple Software Platforms Using Large Language Models

Ziheng Geng, Jiachen Liu, Ian Franklin, Ran Cao, Dan M. Frangopol, Minghui Cheng ยท 2026

Recent advances in large language models (LLMs) have shown the promise to significantly accelerate the workflow by automating structural modeling and analysis. However, existing studies primarily focuโ€ฆ

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Physics Preprint PDF DOI

Planted-solution SAT and Ising benchmarks from integer factorization

Itay Hen ยท 2026

We present a family of planted-solution benchmark instances for satisfiability (SAT) solvers and Ising optimization derived from integer factorization. Given two primes $p$ and $q$, the construction eโ€ฆ

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AI & Data Science Preprint PDF DOI

EE-MCP: Self-Evolving MCP-GUI Agents via Automated Environment Generation and Experience Learning

Tiantian He, Yihang Chen, Keyue Jiang, Ka Yiu Lee, Kaiwen Zhou, Kun Shao, Shuai Wang ยท 2026

Computer-use agents that combine GUI interaction with structured API calls via the Model Context Protocol (MCP) show promise for automating software tasks. However, existing approaches lack a principlโ€ฆ

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Computer Science Preprint PDF DOI

When LLMs Lag Behind: Knowledge Conflicts from Evolving APIs in Code Generation

Ahmed Nusayer Ashik, Shaowei Wang, Tse-Hsun Chen, Muhammad Asaduzzaman, Yuan Tian ยท 2026

The rapid evolution of software libraries creates a significant challenge for Large Language Models (LLMs), whose static parametric knowledge often becomes stale post-training. While retrieval-augmentโ€ฆ

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Computer Science Preprint PDF DOI

Do AI Coding Agents Log Like Humans? An Empirical Study

Youssef Esseddiq Ouatiti, Mohammed Sayagh, Hao Li, Ahmed E. Hassan ยท 2026

Software logging is essential for maintaining and debugging complex systems, yet it remains unclear how AI coding agents handle this non-functional requirement. While prior work characterizes human loโ€ฆ

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AI & Data Science Preprint PDF DOI

On-Meter Graph Machine Learning: A Case Study of PV Power Forecasting for Grid Edge Intelligence

Jian Huang, Zixiang Ming, Yongli Zhu, Linna Xu ยท 2026

This paper presents a detailed study of how graph neural networks can be used on edge intelligent meters in a microgrid to forecast photovoltaic power generation. The problem background and the adopteโ€ฆ

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Biology & Life Sciences Preprint PDF DOI

Cluster-First Labelling: An Automated Pipeline for Segmentation and Morphological Clustering in Histology Whole Slide Images

Muhammad Haseeb Ahmad, Sharmila Rajendran, Damion Young, Jon Mason ยท 2026

Labelling tissue components in histology whole slide images (WSIs) is prohibitively labour-intensive: a single slide may contain tens of thousands of structures--cells, nuclei, and other morphologicalโ€ฆ

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Computer Science Preprint PDF DOI

Fairness in Multi-Agent Systems for Software Engineering: An SDLC-Oriented Rapid Review

Corey Yang-Smith, Ronnie de Souza Santos, Ahmad Abdellatif ยท 2026

Transformer-based large language models (LLMs) and multi-agent systems (MAS) are increasingly embedded across the software development lifecycle (SDLC), yet their fairness implications for developer-fโ€ฆ

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Computer Science Preprint PDF DOI

EYWA: Elastic Load-Balancing and High-Availability Wired Virtual Network Architecture

Wookjae Jeong, Jungin Jung ยท 2026

Infrastructure as a Service (IaaS) in cloud environments provides compute, storage, networking, and other fundamental resources that allow consumers to deploy and run arbitrary software, including opeโ€ฆ

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