output
19932026
most citedCharacterization of collective ground states in single-layer NbSe2

749 citations

411 papers

nucl-th2026

Relativistic Feshbach-Villars Equation for Two Spin- Particles

Z. Papp

The Feshbach-Villars version of the relativistic quantum mechanics can be extended for two-body systems in such a way that the center-of-mass motion is separated off. The procedure…

cs.AR2026

Algorithm and Hardware Co-Design for Efficient Complex-Valued Uncertainty Estimation

Zehuan Zhang, Mark Chen, He Li +1

Complex-Valued Neural Networks (CVNNs) have significant advantages in handling tasks that involve complex numbers. However, existing CVNNs are unable to quantify predictive uncerta…

cs.LG2026

Horizon-Constrained Rashomon Sets for Chaotic Forecasting

Gauri Kale, Rahul Vishwakarma, Holly Diamond +2

Predictive multiplicity and chaotic dynamics represent two fundamental challenges in machine learning that have evolved independently despite their conceptual connections. We bridg…

hep-ex2026

Breaking barriers: the impact of ATLAS Virtual Visits in science communication

ATLAS Collaboration

The ATLAS Collaboration at CERN's Large Hadron Collider is at the forefront of particle physics research and is equally committed to bridging the gap between cutting-edge science a…

cs.HC2026★ 3 cited

How Generative AI Empowers Attackers and Defenders Across the Trust & Safety Landscape

Patrick Gage Kelley, Steven Rousso-Schindler, Renee Shelby +2

Generative AI (GenAI) is a powerful technology poised to reshape Trust & Safety. While misuse by attackers is a growing concern, its defensive capacity remains underexplored. This…

cs.AI2025★ 20 cited

Artificial Intelligence and Accounting Research: A Framework and Agenda

Theophanis C. Stratopoulos, Victor Xiaoqi Wang

Recent advances in artificial intelligence, particularly generative AI (GenAI) and large language models (LLMs), are fundamentally transforming accounting research, creating both o…