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Computer Science Preprint PDF DOI

Sentiment analysis for software engineering: How far can zero-shot learning (ZSL) go?

Reem Alfayez, Manal Binkhonain ยท 2026

Sentiment analysis in software engineering focuses on understanding emotions expressed in software artifacts. Previous research highlighted the limitations of applying general off-the-shelf sentiment โ€ฆ

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Computer Science Preprint PDF DOI

On the Decidability of Verification under Release/Acquire

Giovanna Kobus Conrado, Andreas Pavlogiannis ยท 2026

The verification of concurrent programs under weak-memory models is a burgeoning effort, owing to the increasing adoption of weak memory in concurrent software and hardware. Release/Acquire has becomeโ€ฆ

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Computer Science Preprint PDF DOI

Figma2Code: Automating Multimodal Design to Code in the Wild

Yi Gui, Jiawan Zhang, Yina Wang, Tianran Ma, Yao Wan, Shilin He, Dongping Chen, Zhou Zhao, Wenbin Jiang, Xuanhua Shi, Hai Jin, Philip S Yu ยท 2026

Front-end development constitutes a substantial portion of software engineering, yet converting design mockups into production-ready User Interface (UI) code remains tedious and costly. While recent wโ€ฆ

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Computer Science Preprint PDF DOI

Cerisier: A Program Logic for Attestation in a Capability Machine

June Rousseau, Denis Carnier, Thomas Van Strydonck, Steven Keuchel, Dominique Devriese, Lars Birkedal ยท 2026

A key feature in trusted computing is attestation, which allows encapsulated components (enclaves) to prove their identity to (local or remote) distrusting components. Reasoning about software that usโ€ฆ

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Computer Science Preprint PDF DOI

Nanomentoring: Investigating How Quickly People Can Help People Learn Feature-Rich Software

Ian Drosos, Jo Vermeulen, George Fitzmaurice, Justin Matejka ยท 2026

People frequently use online forums to get help from experts to answer questions about feature-rich software. However, they may have to wait minutes, hours, or even days to receive advice. We investigโ€ฆ

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Computer Science Preprint PDF DOI

Cross-Layer Co-Optimized LSTM Accelerator for Real-Time Gait Analysis

Mohammad Hasan Ahmadilivani, Levent Aksoy, Mohammad Eslami, Jaan Raik, Alar Kuusik ยท 2026

Long Short-Term Memory (LSTM) neural networks have penetrated healthcare applications where real-time requirements and edge computing capabilities are essential. Gait analysis that detects abnormal stโ€ฆ

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Computer Science Preprint PDF DOI

ATLAAS: Automatic Tensor-Level Abstraction of Accelerator Semantics

Ruijie Gao, Haoran Jin, Jirong Yang, Nathaniel Bleier ยท 2026

Numerous tensor accelerator designs have been proposed, yet most lack well-documented ISAs and compiler backends, limiting evaluation to a handful of operators. Recent work has shown that given a tensโ€ฆ

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Computer Science Preprint PDF DOI

TORAI: Multi-source Root Cause Analysis for Blind Spots in Microservice Service Call Graph

Luan Pham, Huong Ha, Xiuzhen Zhang, Hongyu Zhang ยท 2026

Existing multi-source root cause analysis (RCA) methods for microservice systems assume all services have traces to construct a service call graph. However, this assumption is not practical as microseโ€ฆ

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Computer Science Preprint PDF DOI

Learning from Change: Predictive Models for Incident Prevention in a Regulated IT Environment

Eileen Kapel, Jan Lennartz, Luis Cruz, Diomidis Spinellis, Arie van Deursen ยท 2026

Effective IT change management is important for businesses that depend on software and services, particularly in highly regulated sectors such as finance, where operational reliability, auditability, โ€ฆ

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Computer Science Preprint PDF DOI

The Cognitive Circuit Breaker: A Systems Engineering Framework for Intrinsic AI Reliability

Jonathan Pan ยท 2026

As Large Language Models (LLMs) are increasingly deployed in mission-critical software systems, detecting hallucinations and ``faked truthfulness'' has become a paramount engineering challenge. Currenโ€ฆ

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Computer Science Preprint PDF DOI

Tensor Memory Engine: On-the-fly Data Reorganization for Ideal Locality

Denis Hoornaert, Cole Strickler, Manos Athanassoulis, Marco Caccamo, Heechul Yun, Renato Mancuso ยท 2026

The shift to data-intensive processing from the cloud to the edge has introduced new challenges and expectations for the next generation of intelligent computing systems. As the memory wall continues โ€ฆ

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AI & Data Science Preprint PDF DOI

The Spectrascapes Dataset: Street-view imagery beyond the visible captured using a mobile platform

Akshit Gupta, Joris Timmermans, Filip Biljecki, Remko Uijlenhoet ยท 2026

High-resolution data in spatial and temporal contexts is imperative for developing climate resilient cities. Current datasets for monitoring urban parameters are developed primarily using manual inspeโ€ฆ

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Computer Science Preprint PDF DOI

Comprehension Debt in GenAI-Assisted Software Engineering Projects

Muhammad Ovais Ahmad ยท 2026

Generative Artificial Intelligence (GenAI) tools (e.g., ChatGPT, Calude) have rapidly become integral to software development. These tools are especially attractive to students, as they can reduce cogโ€ฆ

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AI & Data Science Preprint PDF DOI

See, Point, Refine: Multi-Turn Approach to GUI Grounding with Visual Feedback

Himangi Mittal, Gaurav Mittal, Nelson Daniel Troncoso, Yu Hu ยท 2026

Computer Use Agents (CUAs) fundamentally rely on graphical user interface (GUI) grounding to translate language instructions into executable screen actions, but editing-level grounding in dense codingโ€ฆ

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Chemistry Preprint PDF DOI

EOM-fpCCSD: An Accurate Alternative to EOM-CCSD for Doubly Excited and Charge-Transfer States

Katharina Boguslawski, Pawe{l} Tecmer ยท 2026

We introduce a new equation-of-motion coupled-cluster method based on a pair coupled-cluster doubles (pCCD) reference, termed frozen-pair EOM-CCSD (EOM-fpCCSD). This approach combines the computationaโ€ฆ

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Engineering Preprint PDF DOI

XRZero-G0: Pushing the Frontier of Dexterous Robotic Manipulation with Interfaces, Quality and Ratios

James Wang, Primo Pu, Zephyr Fung, Alex Wang, Sam Wang, Bender Deng, Kevin Wang, Zivid Liu, Chris Pan, Panda Yang, Andy Zhai, Lucy Liang, Shalfun Li, Johnny Sun, Jacky Xu, Will Tian, Kai Yan, Kohler Ye, Scott Li, Qian Wang, Roy Gan, Hao Wang ยท 2026

The acquisition of high-quality, action-aligned demonstration data remains a fundamental bottleneck in scaling foundation models for dexterous robot manipulation. Although robot-free human demonstratiโ€ฆ

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Computer Science Preprint PDF DOI

Personalizing LLM-Based Conversational Programming Assistants

Jonan Richards ยท 2026

Large Language Models (LLMs) have shown much promise in powering a variety of software engineering (SE) tools. Offering natural language as an intuitive interaction mechanism, LLMs have recently been โ€ฆ

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Computer Science Preprint PDF DOI

LogicEval: A Systematic Framework for Evaluating Automated Repair Techniques for Logical Vulnerabilities in Real-World Software

Syed Md Mukit Rashid, Abdullah Al Ishtiaq, Kai Tu, Yilu Dong, Tianwei Wu, Ali Ranjbar, Tianchang Yang, Najrin Sultana, Shagufta Mehnaz, Syed Rafiul Hussain ยท 2026

Logical vulnerabilities in software stem from flaws in program logic rather than memory safety, which can lead to critical security failures. Although existing automated program repair techniques primโ€ฆ

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Physics Preprint PDF DOI

Quantum-safe IPsec in the banking industry

Rafael J. Vicente, Jaime Gomez Garcia, Juan P. Brito, Yorlandy Lobaina, Jaime S. Buruaga, Daniel Gomez Aguado, Miguel Angel Sanchez Serrano, Simon Ovsyannikov, Salah Gherdaoui, Jean-Sebastien Pegon, Marco Cofano, Vicente Martin ยท 2026

The emergence of Cryptographically Relevant Quantum Computers (CRQCs) presents a critical threat to classical cryptographic systems, particularly widely adopted protocols such as RSA, Diffie-Hellman (โ€ฆ

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Computer Science Preprint PDF DOI

An Engineering Journey Training Large Language Models at Scale on Alps: The Apertus Experience

Jonathan Coles, Stefano Schuppli, Lukas Drescher, Fawzi Roberto Mohamed, Elia Palme, Henrique Mendonca, Miguel Gila, Mark Klein, Maxime Martinasso, Joost VandeVondele, Torsten Hoefler, Thomas Schulthess, Josh Romero, Igor Gorodetsky, Ryan Hankins, Isa Wazirzada, Martin Jaggi, Antoine Bosselut, Imanol Schlag, Antoni-Joan Solergibert i Llaquet, Alejandro Hernandez Cano, Theofilos Ioannis Manitaras, Nicholas John Browning ยท 2026

Large Language Models (LLMs) have surged as a transformative technology for science and society, prompting governments worldwide to pursue sovereign AI capabilities that ensure data compliance and culโ€ฆ

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