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Showing 48784 results for "software"
Computer Science Preprint PDF DOI

PSI: Shared State as the Missing Layer for Coherent AI-Generated Instruments in Personal AI Agents

Zhiyuan Wang, Erzhen Hu, Mark Rucker, Laura E. Barnes ยท 2026

Personal AI tools can now be generated from natural-language requests, but they often remain isolated after creation. We present PSI, a shared-state architecture that turns independently generated modโ€ฆ

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Computer Science Preprint PDF DOI

PG-MDP: Profile-Guided Memory Dependence Prediction for Area-Constrained Cores

Luke Panayi, Johan Jino, Sebastian S. Kim, Alberto Ros, Alexandra Jimborean, Jim Whittaker, Martin Berger, Paul Kelly ยท 2026

Memory Dependence Prediction (MDP) is a speculative technique to determine which stores, if any, a given load will depend on. Area-constrained cores are increasingly relevant in various applications sโ€ฆ

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Physics Preprint PDF DOI

Small-scale photonic Kolmogorov-Arnold networks using standard telecom nonlinear modules

Luca Nogueira Calcado, Sergei K. Turitsyn, Egor Manuylovich ยท 2026

Photonic neural networks promise ultrafast inference, yet most architectures rely on linear optical meshes with electronic nonlinearities, reintroducing optical-electrical-optical bottlenecks. Here weโ€ฆ

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Computer Science Preprint PDF DOI

Real-Time Cross-Layer Semantic Error Correction Using Language Models and Software-Defined Radio

Yuchen Pan, Yuyang Du, Yirun Wang, Shiqi Xu, Lihao Zhang, Soung Chang Liew ยท 2026

As Language Models (LMs) advance, Semantic Error Correction (SEC) has emerged as a promising approach for reliable network designs. Yet existing methods prioritize intent over accuracy, falling short โ€ฆ

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Physics Preprint PDF DOI

Toward Neutrino and Dark Matter Detection with Ancient Minerals: TEM Study of Heavy-Ion Tracks in Olivine

Andrew Calabrese-Day, Emilie LaVoie-Ingram, Kathryn Ream, Hannah Ross, Joshua Spitz, Patrick Stengel, Kai Sun, Alexander Takla ยท 2026

Solar, supernova, and atmospheric neutrinos, and possibly weakly interacting massive particle (WIMP) dark matter, have been interacting in the Earth beneath our feet for billions of years. The ''paleoโ€ฆ

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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 ยท 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, includโ€ฆ

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Computer Science Preprint PDF DOI

CIAO - Code In Architecture Out - Automated Software Architecture Documentation with Large Language Models

Marco De Luca, Tiziano Santilli, Domenico Amalfitano, Anna Rita Fasolino, Patrizio Pelliccione ยท 2026

Software architecture documentation is essential for system comprehension, yet it is often unavailable or incomplete. While recent LLM-based techniques can generate documentation from code, they typicโ€ฆ

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Physics Preprint PDF DOI

SPIROS: Streamlined, Precise, Intuitive, and Rapid Optical Simulator for particle physics detectors

Tatsuya Kikawa ยท 2026

This paper presents SPIROS (Streamlined, Precise, Intuitive, and Rapid Optical Simulator), a dedicated optical simulation tool developed for the design and analysis of particle physics detectors. Unliโ€ฆ

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Physics Preprint PDF DOI

SMC-AI: Scaling Monte Carlo Simulation to Four Trillion Atoms with AI Accelerators

Xianglin Liu, Kai Yang, Fanli Zhou, Yongxiang Liu, Hao Chen, Yijia Zhang, Dengdong Fan, Wenbo Li, Bingqiang Wang, Shixun Zhang, Pengxiang Xu, Yonghong Tian ยท 2026

The rapid advancement of deep learning is reshaping the hardware design landscape toward AI tasks, posing fundamental challenges for HPC workloads such as atomistic simulation. Here we present SMC-AI,โ€ฆ

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Computer Science Preprint PDF DOI

Empirical Evaluation of Taxonomic Trace Links: A Case Study

Waleed Abdeen, Michael Unterkalmsteiner, Peter Lowenadler, Parisa Yousefi, Krzysztof Wnuk ยท 2026

Context: Traceability is a key quality attribute of artifacts that are used in knowledge-intensive tasks and supports software engineers in producing higher-quality software. Despite its clear benefitโ€ฆ

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Computer Science Preprint PDF DOI

Towards Improving the External Validity of Software Engineering Experiments with Transportability Methods

Julian Frattini, Richard Torkar, Robert Feldt, Carlo A. Furia ยท 2026

Controlled experiments are a core research method in software engineering (SE) for validating causal claims. However, recruiting a sample of participants that represents the intended target populationโ€ฆ

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Computer Science Preprint PDF DOI

Test-Oriented Programming: rethinking coding for the GenAI era

Jorge Melegati ยท 2026

Large language models (LLMs) have shown astonishing capability of generating software code, leading to its use to support developers in programming. Proposed tools have relied either on assistants forโ€ฆ

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Computer Science Preprint PDF DOI

A Comparative Study of Semantic Log Representations for Software Log-based Anomaly Detection

Yuqing Wang, Ying Song, Xiaozhou Li, Nana Reinikainen, Mika V. Mantyla ยท 2026

Recent deep learning (DL) methods for log anomaly detection increasingly rely on semantic log representation methods that convert the textual content of log events into vector embeddings as input to Dโ€ฆ

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Engineering Preprint PDF DOI

AgiPIX: Bridging Simulation and Reality in Indoor Aerial Inspection

Sasanka Kuruppu Arachchige, Juan Jose Garcia, Changda Tian, Lauri Suomela, Panos Trahanias, Adriana Tapus, Joni-Kristian Kamarainen ยท 2026

Autonomous indoor flight for critical asset inspection presents fundamental challenges in perception, planning, control, and learning. Despite rapid progress, there is still a lack of a compact, activโ€ฆ

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AI & Data Science Preprint PDF DOI

Pruning Extensions and Efficiency Trade-Offs for Sustainable Time Series Classification

Raphael Fischer, Angus Dempster, Sebastian Buschjager, Matthias Jakobs, Urav Maniar, Geoffrey I. Webb ยท 2026

Time series classification (TSC) enables important use cases, however lacks a unified understanding of performance trade-offs across models, datasets, and hardware. While resource awareness has grown โ€ฆ

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Computer Science Preprint PDF DOI

Investigating Code Reuse in Software Redesign: A Case Study

Xiaowen Zhang, Huaien Zhang, Shin Hwei Tan ยท 2026

Software redesign preserves functionality while improving quality attributes, but manual reuse of code and tests is costly and error-prone, especially in crossrepository redesigns. Focusing on static โ€ฆ

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Computer Science Preprint PDF DOI

AFGNN: API Misuse Detection using Graph Neural Networks and Clustering

Ponnampalam Pirapuraj (IIT Hyderabad), Tamal Mondal (Oracle), Sharanya Gupta (Yokogawa Digital), Akash Lal (Microsoft Research), Somak Aditya (IIT Kharagpur), Jyothi Vedurada (IIT Hyderabad) ยท 2026

Application Programming Interfaces (APIs) are crucial to software development, enabling integration of existing systems with new applications by reusing tried and tested code, saving development time โ€ฆ

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Computer Science Preprint PDF DOI

Design and empirical validation of a stock-Android software architecture for Wi-Fi Direct multi-group communication

Kwasi Edward, Wayne Goodridge, Koffka Khan, Amit Ramkissoon ยท 2026

Context: Stock Android exposes Wi-Fi Direct peer-to-peer APIs, but it does not provide application-transparent communication across multiple Wi-Fi Direct groups. For developers working on non-rooted dโ€ฆ

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Economics & Finance Preprint PDF DOI

The Corporate Bond Factor Replication Crisis

Alexander Dickerson, Cesare Robotti, Giulio Rossetti ยท 2026

Corporate bond factor research faces a replication crisis. The crisis stems from two sources that inflate reported factor premia: transaction prices whose measurement error enters both sorting signalsโ€ฆ

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Computer Science Preprint PDF DOI

ZeroCoder: Can LLMs Improve Code Generation Without Ground-Truth Supervision?

Lishui Fan, Mouxiang Chen, Tingwei Zhu, Kui Liu, Xin Xia, Shanping Li, Zhongxin Liu ยท 2026

Code generation is important in software engineering, and Reinforcement Learning with Verifiable Rewards (RLVR) is a powerful paradigm to improve it through execution-based feedback. However, most RLVโ€ฆ

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