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Showing 157829 results for "program development" · Preprint
Computer Science Preprint PDF DOI

Ghost in the Agent: Redefining Information Flow Tracking for LLM Agents

Yuandao Cai, Wensheng Tang, Cheng Wen, Shengchao Qin · 2026

Autonomous Large Language Model (LLM) agents are increasingly deployed to conduct complex tasks by interacting with external tools, APIs, and memory stores. However, processing untrusted external data…

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Computer Science Preprint PDF DOI

UniAda: Universal Adaptive Multi-objective Adversarial Attack for End-to-End Autonomous Driving Systems

Jingyu Zhang, Jacky Wai Keung, Yan Xiao, Yihan Liao, Yishu Li, Xiaoxue Ma · 2026

Adversarial attacks play a pivotal role in testing and improving the reliability of deep learning (DL) systems. Existing literature has demonstrated that subtle perturbations to the input can elicit e…

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Computer Science Preprint PDF DOI

An Empirical Evaluation of Locally Deployed LLMs for Bug Detection in Python Code

Jelena Ilic Vulicevic · 2026

Large language models (LLMs) have demonstrated strong performance on a wide range of software engineering tasks, including code generation and analysis. However, most prior work relies on cloud-based …

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AI & Data Science Preprint PDF DOI

KAConvNet: Kolmogorov-Arnold Convolutional Networks for Vision Recognition

Zhaoxiang Liu, Zhicheng Ma, Kaikai Zhao, Kai Wang, Shiguo Lian · 2026

The Convolutional Neural Networks (CNNs) have been the dominant and effective approach for general computer vision tasks. Recently, Kolmogorov-Arnold neural networks (KANs), based on the Kolmogorov-Ar…

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AI & Data Science Preprint PDF DOI

An Analysis of Active Learning Algorithms using Real-World Crowd-sourced Text Annotations

Varun Totakura, Ankita Singh, Yushun Dong, Shayok Chakraborty · 2026

Active learning algorithms automatically identify the most informative samples from large amounts of unlabeled data and tremendously reduce human annotation effort in inducing a machine learning model…

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Computer Science Preprint PDF DOI

Towards Agentic Test-Driven Quality Assurance for 6G Networks

Christos Tranoris, Besiana Agko, Kostis Trantzas, Irene Denazi · 2026

This work proposes an agentic, intent-driven end-to-end (E2E) orchestration framework that integrates intent co-creation with a Test-Driven Quality Assurance paradigm. In this framework, autonomous ag…

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Mathematics Preprint PDF DOI

WSINDy for Model Predictive Control with Applications to Fusion, Drones, and Chaos

Cristian Lopez, Mckenna Partridge, Sebastian De Pascuale, Jeremy Lore, Andrew Christlieb, Stephen Becker, David M. Bortz · 2026

The control of complex dynamical systems remains a fundamental challenge in science and engineering, where strong nonlinearities, the presence of noise, and computational constraints often pose signif…

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Computer Science Preprint PDF DOI

Knowledge Lever Risk Management for Software Engineering: A Stochastic Framework for Mitigating Knowledge Loss

Mark Chua, Samuel Ajila · 2026

Software engineering (SE) organizations operate in a knowledge-intensive domain where critical assets -- architectural expertise, design rationale, and system intuition -- are overwhelmingly tacit and…

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Engineering Preprint PDF DOI

Robust Operation of Distribution Networks: Generalized Uncertainty Modelling in Confidence-Level-Based Information Gap Decision

Zhisheng Xiong, Dimitris Boskos, Bo Zeng, Peter Palensky, Pedro P. Vergara · 2026

This paper studies the robust optimal operation of distribution networks (DNs) under renewable generation and load demand uncertainties, seeking an improved trade-off between robustness and economic p…

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Physics Preprint PDF DOI

Readout and PID using AIML for SoLID High Background Cherenkov Detectors

Zhiwen Zhao, Bishnu Karki, Bo Yu, Andrew Smith, Gary Swift, Simon Gorbaty, Jingyi Zhou, Haiyan Gao, Benjamin Raydo, Alexandre Camsonne, Kishansingh Rajput, Marco Contalbrigo, Roberto Malaguti · 2026

We present the development of readout electronics and artificial-intelligence-based particle-identification methods for the SoLID Cherenkov detectors at Jefferson Lab. To operate in the high-rate, hig…

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Mathematics Preprint PDF DOI

Green Manufacturing Capacity Planning by Integrating Distributionally Robust Optimization and Generative AI

Xin Zhou, Zhengsong Lu, Bo Zeng, Na Geng · 2026

Green manufacturing has become a strategic priority for many firms seeking to address sustainability and social responsibility, while improving production efficiency and profitability. However, integr…

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Physics Preprint PDF DOI

PEEPSS: Photonic-Enabled ExoPlanet Spectroscopic Sensor for the Habitable Worlds Observatory

Genevieve Markees, Stephen S. Eikenberry, Rodrigo Amezcua-Correa, Miguel Bandres, Rebecca Jensen-Clem, Sergio Leon-Saval, Laurent Pueyo, Raphael Pourcelot · 2026

The next few years will be critical for technology development for Habitable Worlds Observatory (HWO) in its mission to search for and characterize extrasolar planets. To achieve its stated goals with…

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AI & Data Science Preprint PDF DOI

MOCA: A Transformer-based Modular Causal Inference Framework with One-way Cross-attention and Cutting Feedback

Lei Wang, Debashis Ghosh · 2026

Causal effect estimation from observational data requires careful adjustment for confounding. Classical estimators such as inverse probability weighting and augmented inverse probability weighting are…

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Computer Science Preprint PDF DOI

Code Broker: A Multi-Agent System for Automated Code Quality Assessment

Samer Attrah · 2026

We present Code Broker, a multi agent system built with Google Agent Development Kit ADK that analyses Python code from files, local directories, or GitHub repositories and generates actionable qualit…

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Engineering Preprint PDF DOI

Learning the Weather-Grid Nexus via Weather-to-Voltage (W2V) Predictive Modeling

Sol Lim, Min-Seung Ko, Farnaz Safdarian, Hao Zhu · 2026

This paper proposes a weather-to-voltage (W2V) predictive modeling framework to learn the underlying weather-grid nexus. Unlike existing approaches on weather-informed grid operations, our proposed W2…

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AI & Data Science Preprint PDF DOI

Urban Flood Observations (UFO): A hand-labeled training and validation dataset of post-flood inundation

Rohit Mukherjee, Hannah K. Friedrich, Beth Tellman, Ariful Islam, Zhijie Zhang, Jonathan Giezendanner, Upmanu Lall, Venkataraman Lakshmi · 2026

Urban flooding affects lives and infrastructure worldwide. Mapping inundation in complex urban environments from satellite imagery remains challenging due to limited spatial resolution, infrequent acq…

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Physics Preprint PDF DOI

Incorporating Inelasticity Reconstruction into Neutrino Mass Ordering Studies with IceCube

J.H. Peterson, M. Jacquart (for the IceCube Collaboration) · 2026

Earth's matter affects the oscillation of atmospheric neutrinos and antineutrinos differently depending on the neutrino mass ordering (NMO). As more neutrinos than antineutrinos are expected to be det…

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AI & Data Science Preprint PDF DOI

ML-Guided Primal Heuristics for Mixed Binary Quadratic Programs

Weimin Huang, Natalie M. Isenberg, Jan Drgona, Draguna L Vrabie, Bistra Dilkina · 2026

Mixed Binary Quadratic Programs (MBQPs) are an important and complex set of problems in combinatorial optimization. As solving large-scale combinatorial optimization problems is challenging, primal he…

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Computer Science Preprint PDF DOI

Remote Concolic Multiverse Debugging -- Extended Version with Additional Appendices

Maarten Steevens, Tom Lauwaerts, Christophe Scholliers · 2026

Debugging nondeterministic programs is inherently difficult, particularly in microcontroller environments where execution paths can diverge unpredictably due to external sensor inputs. Traditional deb…

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AI & Data Science Preprint PDF DOI

Liquid Neural Network Models for Natural Gas Spot Price Time-Series Forecasting

Yiqian Liu, Jiayi Niu, Adam Kelleher, Subhabrata Das · 2026

Natural gas is undoubtedly an essential component of the global energy system. Accurate short-term forecasting of natural gas price is challenging due to pronounced volatility driven by seasonal deman…

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