1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025
PhySense: Principle-Based Physics Reasoning Benchmarking for Large Language Models
Yinggan Xu, Yue Liu, Zhiqiang Gao +2
Large language models (LLMs) have rapidly advanced and are increasingly capable of tackling complex scientific problems, including those in physics. Despite this progress, current…
quant-ph2024★ 1 cited
Provably Efficient Adiabatic Learning for Quantum-Classical Dynamics
Changnan Peng, Jin-Peng Liu, Gia-Wei Chern +1
Quantum-classical hybrid dynamics is crucial for accurately simulating complex systems where both quantum and classical behaviors need to be considered. However, coupling between c…