output
20162026
most citedMultiple imputation of multilevel missing data: An introduction to the R package pan

141 citations

8 papers

physics.space-ph2026★ 1 cited

Compressive Structures in the Foreshock of Collisionless Shocks

Savvas Raptis, Domenico Trotta, Drew L. Turner +11

Collisionless shocks are fundamental accelerators of energetic particles; yet, the observations of nonlinear foreshock structures, which are essential in acceleration processes, di…

cs.CY2026

The Future of Feedback: How Can AI Help Transform Feedback to Be More Engaging, Effective, and Scalable?

Jennifer Meyer, Olaf Köller, Thorben Jansen +33

With digital learning environments becoming more prevalent, the ease with which generative AI enables the scalable production of real-time, automated feedback holds the potential t…

physics.ed-ph2025★ 13 cited

Evaluating GPT- and Reasoning-based Large Language Models on Physics Olympiad Problems: Surpassing Human Performance and Implications for Educational Assessment

Paul Tschisgale, Holger Maus, Fabian Kieser +3

Large language models (LLMs) are now widely accessible, reaching learners at all educational levels. This development has raised concerns that their use may circumvent essential le…

astro-ph.SR2025★ 9 cited

Investigation of Inverse Velocity Dispersion in a Solar Energetic Particle Event Observed by Solar Orbiter

Zheyi Ding, F. Robert Wimmer-Schweingruber, Alexander Kollhoff +15

Inverse velocity dispersion (IVD) events, characterized by higher-energy particles arriving later than lower-energy particles, challenge the classical understanding of SEP events a…

cs.LG2025★ 23 cited

Humanity's Last Exam

Long Phan, Alice Gatti, Ziwen Han +1144

Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…

cond-mat.mes-hall2024★ 1 cited

Resistively detected electron spin resonance and g-factor in few-layer exfoliated MoS2 devices

Chithra H. Sharma, Appanna Parvangada, Lars Tiemann +3

MoS2 has recently emerged as a promising material for enabling quantum devices and spintronic applications. In this context, an improved physical understanding of the g-factor of M…