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

AutonomyLens: A Self-Evolving Simulation-Based Testing Loop for Autonomous Systems

Ankit Agrawal, Jithin Garapati, Bohan Zhang ยท 2026

Software engineering practices for validating autonomous cyber-physical systems (e.g., Uncrewed Aerial Vehicles) remain fragmented across scenario design, simulation execution, and telemetry analysis,โ€ฆ

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Computer Science Preprint PDF DOI

CUTEv2: Unified and Configurable Matrix Extension for Diverse CPU Architectures with Minimal Design Overhead

Jinpeng Ye, Chongxi Wang, Wenqing Li, Bin Yuan, Shiyi Wang, Fenglu Zhang, Junyu Yue, Jianan Xie, Yunhao Ye, Haoyu Deng, Yingkun Zhou, Xin Cheng, Fuxin Zhang, Jian Wang ยท 2026

Matrix extensions have emerged as an essential feature in modern CPUs to address the surging demands of AI workloads. However, existing designs often incur substantial hardware and software design oveโ€ฆ

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AI & Data Science Preprint PDF DOI

bacpipe: a Python package to make bioacoustic deep learning models accessible

Vincent S. Kather, Sylvain Haupert, Burooj Ghani, Dan Stowell ยท 2026

1. Natural sounds have been recorded for millions of hours over the previous decades using passive acoustic monitoring. Improvements in deep learning models have vastly accelerated the analysis of larโ€ฆ

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Computer Science Preprint PDF DOI

FM-Agent: Scaling Formal Methods to Large Systems via LLM-Based Hoare-Style Reasoning

Haoran Ding, Zhaoguo Wang, Haibo Chen ยท 2026

LLM-assisted software development has become increasingly prevalent, and can generate large-scale systems, such as compilers. It becomes crucial to strengthen the correctness of the generated code. Hoโ€ฆ

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AI & Data Science Preprint PDF DOI

Problem Reductions at Scale: Agentic Integration of Computationally Hard Problems

Xi-Wei Pan, Shi-Wen An, Jin-Guo Liu ยท 2026

Solving an NP-hard optimization problem often requires reformulating it for a specific solver -- quantum hardware, a commercial optimizer, or a domain heuristic. A tool for polynomial-time reductions โ€ฆ

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Computer Science Preprint PDF DOI

From Translation to Superset: Benchmark-Driven Evolution of a Production AI Agent from Rust to Python

Jinhua Wang, Biswa Sengupta ยท 2026

Cross-language migration of large software systems is a persistent engineering challenge, particularly when the source codebase evolves rapidly. We present a methodology for LLM-assisted continuous coโ€ฆ

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Computer Science Preprint PDF DOI

EdgeCIM: A Hardware-Software Co-Design for CIM-Based Acceleration of Small Language Models

Jinane Bazzi, Mariam Rakka, Fadi Kurdahi, Mohammed E. Fouda, Ahmed Eltawil ยท 2026

The growing demand for deploying Small Language Models (SLMs) on edge devices, including laptops, smartphones, and embedded platforms, has exposed fundamental inefficiencies in existing accelerators. โ€ฆ

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Computer Science Preprint PDF DOI

AgentForge: Execution-Grounded Multi-Agent LLM Framework for Autonomous Software Engineering

Rajesh Kumar, Waqar Ali, Junaid Ahmed, Najma Imtiaz Ali, Shaban Usman ยท 2026

Large language models generate plausible code but cannot verify correctness. Existing multi-agent systems simulate execution or leave verification optional. We introduce execution-grounded verificatioโ€ฆ

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AI & Data Science Preprint PDF DOI

OOM-RL: Out-of-Money Reinforcement Learning Market-Driven Alignment for LLM-Based Multi-Agent Systems

Kun Liu, Liqun Chen ยท 2026

The alignment of Multi-Agent Systems (MAS) for autonomous software engineering is constrained by evaluator epistemic uncertainty. Current paradigms, such as Reinforcement Learning from Human Feedback โ€ฆ

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Computer Science Preprint PDF DOI

Nix: A Solution With Problems

Matias Zwinger ยท 2026

Software deployment suffers from numerous problems pertaining, for example, to reproducibility and dependency resolution. Many of these problems have been successfully solved by the purely functional โ€ฆ

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Engineering Preprint PDF DOI

End-to-end differentiable network traffic simulation with dynamic route choice

Toru Seo ยท 2026

Optimization using network traffic models requires computing gradients of objective functions with respect to model parameters. However, derivation of such gradients has often been considered difficulโ€ฆ

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Computer Science Preprint PDF DOI

Using Budgets to Reduce Application Emissions

Leo Wilhelm Lierse, Mahyar Tourchi Moghaddam, Sebastian Werner ยท 2026

As carbon pricing mechanisms like the EU Emissions Trading System are set to increase prices of energy consumption, software architects face growing pressure to design applications that operate withinโ€ฆ

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Computer Science Preprint PDF DOI

Evaluating LLM Agents on Automated Software Analysis Tasks

Islem Bouzenia, Cristian Cadar, Michael Pradel ยท 2026

Numerous software analysis tools exist today, yet applying them to diverse open-source projects remains challenging due to environment setup, dependency resolution, and tool configuration. LLM-based aโ€ฆ

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Computer Science Preprint PDF DOI

Designing Adaptive Digital Nudging Systems with LLM-Driven Reasoning

Tiziano Santilli, Mina Alipour, Mahyar Tourchi Moghaddam ยท 2026

Digital nudging systems lack architectural guidance for translating behavioral science into software design. While research identifies nudge strategies and quality attributes, existing architectures fโ€ฆ

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AI & Data Science Preprint PDF DOI

CocoaBench: Evaluating Unified Digital Agents in the Wild

CocoaBench Team: Shibo Hao, Zhining Zhang, Zhiqi Liang, Tianyang Liu, Yuheng Zha, Qiyue Gao, Jixuan Chen, Zilong Wang, Zhoujun Cheng, Haoxiang Zhang, Junli Wang, Hexi Jin, Boyuan Zheng, Kun Zhou, Yu Wang, Feng Yao, Licheng Liu, Yijiang Li, Zhifei Li, Zhengtao Han, Pracha Promthaw, Tommaso Cerruti, Xiaohan Fu, Ziqiao Ma, Jingbo Shang, Lianhui Qin, Julian McAuley, Eric P. Xing, Zhengzhong Liu, Rupesh Kumar Srivastava, Zhiting Hu ยท 2026

LLM agents now perform strongly in software engineering, deep research, GUI automation, and various other applications, while recent agent scaffolds and models are increasingly integrating these capabโ€ฆ

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Computer Science Preprint PDF DOI

Taking a Pulse on How Generative AI is Reshaping the Software Engineering Research Landscape

Bianca Trinkenreich, Fabio Calefato, Kelly Blincoe, Viggo Tellefsen Wivestad, Antonio Pedro Santos Alves, Julia Conde Araujo, Marina Conde Araujo, Paolo Tell, Marcos Kalinowski, Thomas Zimmermann, Margaret-Anne Storey ยท 2026

Context: Software engineering (SE) researchers increasingly study Generative AI (GenAI) while also incorporating it into their own research practices. Despite rapid adoption, there is limited empiricaโ€ฆ

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AI & Data Science Preprint PDF DOI

bioLeak: Leakage-Aware Modeling and Diagnostics for Machine Learning in R

Selcuk Korkmaz ยท 2026

Data leakage remains a recurrent source of optimistic bias in biomedical machine learning studies. Standard row-wise cross-validation and globally estimated preprocessing steps are often inappropriateโ€ฆ

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Computer Science Preprint PDF DOI

Visible, Trackable, Forkable: Opening the Process of Science

Sergey V. Samsonau ยท 2026

The way science is currently practiced shows conclusions but hides how they were reached. Researchers work privately, polish their results, publish a finished paper, and defend it. Errors are punishedโ€ฆ

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Computer Science Preprint PDF DOI

Compliant But Unsatisfactory: The Gap Between Auditing Standards and Practices for Probabilistic Genotyping Software

Angela Jin, Alexander Asemota, Dan E. Krane, Nathaniel D. Adams, Rediet Abebe ยท 2026

AI governance efforts increasingly rely on audit standards: agreed-upon practices for conducting audits. However, poorly designed standards can hide and lend credibility to inadequate systems. We explโ€ฆ

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Computer Science Preprint PDF DOI

GEN-Graph: Heterogeneous PIM Accelerator for General Computational Patterns in Graph-based Dynamic Programming

Yanru Chen, Runyang Tian, Zheyu Li, Mahbod Afarin, Weihong Xu, Tajana Rosing ยท 2026

While graph-based dynamic programming (DP) is a cornerstone of genomics and network analytics, its efficiency is hampered by fundamentally conflicting computational patterns. Matrix-centric DP drives โ€ฆ

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