output
19922026
most citedNormalizing Flows: An Introduction and Review of Current Methods

1.3k citations

1,223 papers

cs.SE2026

BreakGuard: Towards Detecting Dependency Breaking Changes with LLM-Generated Tests

Rachna Raj, Benoit Baudry, Diego Elias Costa

Open-source libraries play an important role in software development by providing reusable features that expedite the development process. As libraries evolve, they release new ver…

cs.AI2026★ 1 cited

Towards Sustainable Artificial Intelligence: A Comprehensive Review and Comparative Analysis of Deep Learning Models' Carbon Footprint

Samar Garrab, Sarra Boughriou, Manel BenSassi

Artificial Intelligence (AI) and Machine Learning (ML) have become powerful tools for supporting and automating complex human tasks. Despite their benefits, growing attention has b…

cs.DB2026

ReSequel: Robust LLM-assisted Query Rewriting and Optimization using Templatization and Sampling

Saeed Fathollahzadeh, Essam Mansour, Matthias Boehm

Heuristic query rewriting has long complemented cost-based optimization to improve performance. Such rewrites transform SQL queries into semantically equivalent forms that are easi…

physics.flu-dyn2026★ 1 cited

Experimental investigation of twin pulsed jets in a hemispheric elastic cavity

L. S. Merlo, L. Kadem, W. Saleh +2

This study experimentally examines the impact of spacing between two pulsed jets and their strengths on the fluid dynamics within an elastic hemispherical cavity. Such interactions…

cs.NI2026

Cross-Domain Query Translation for Network Troubleshooting: A Multi-Agent LLM Framework with Privacy Preservation and Self-Reflection

Nguyen Phuc Tran, Brigitte Jaumard, Karthikeyan Premkumar +1

This paper presents a hierarchical multi-agent LLM architecture to bridge communication gaps between non-technical end users and telecommunications domain experts in private networ…

cs.SE2026

HEJ-Robust: A Robustness Benchmark for LLM-Based Automated Program Repair

Fazle Rabbi, Jinqiu Yang

Recent Large Language Models (LLMs) have shown strong performance on automated program repair across standard benchmarks. However, these benchmarks evaluate models on a single cano…