output
20052026
most citedUnsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

6.9k citations

698 papers

cs.CR2026

Evaluating AI Models' Capability to Automate Voice Phishing Attacks

Fred Heiding, Claudio Mayrink Verdun, Simon Lermen +5

Voice phishing (vishing) attacks have traditionally been limited by the need for human operators. The rapid emergence of high-quality AI voice synthesis and large language models (…

cs.IR2026

CMSL: Constructive Multi-Sequence Learning for Recommendation Systems

Zikun Cui, Renzhi Wu, Junjie Yang +10

Sequence learning has emerged as the promising paradigm in recommendation systems, surpassing traditional Deep Learning Recommendation Models (DLRM) by capturing the temporal nuanc…

cs.DB2026★ 8 cited

AIM: A practical approach to automated index management for SQL databases

Ritwik Yadav, Satyanarayana R. Valluri, Mohamed Zaït

This paper describes AIM (Automatic Index Manager), a configurable index management system, which identifies impactful secondary indexes for SQL databases to efficiently use availa…

math.AP2026

Nonlinear Kinetic Diffusion Equations with -Growth

Helge Dietert, Lukas Niebel, Rico Zacher

We establish the local boundedness of (sub-)solutions to nonlinear kinetic diffusion equations with -growth, where the kinetic p-Laplace equation is a prototypical example. A ke…

cs.IR2026

A General Framework for Multimodal LLM-Based Multimedia Understanding in Large-Scale Recommendation Systems

Yiming Zhu, Xu Liu, Ziyun Xu +9

Conventional recommendation systems frequently fail to fully exploit the high-dimensional semantic signals inherent in multimedia content, thereby limiting the fidelity of user pre…

cs.SE2026

RubberDuckBench: A Benchmark for AI Coding Assistants

Ferida Mohammed, Fatma Ayad, Petros Maniatis +2

Programmers are turning to AI coding assistants to answer questions about their code. Benchmarks are needed to soundly evaluate these systems and understand their performance. To e…