Publications (4)
Characterizing Model Behavior Under Synthetic Data Training: An Empirical Study Across Scales and Mixing Ratios
Y. Du, G. Wu, G. Tang +2
Synthetic data generated by large language models has become integral to modern NLP training pipelines, from bootstrapping reasoning capabilities to augmenting instruction-followin…
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow
Y. Du, C. Guo, W. Wang +1
Large Language Models (LLMs) face a fundamental challenge in deciding when to rely on rapid, intuitive responses versus engaging in slower, more deliberate reasoning. Inspired by D…
TurboPy: A Lightweight Python Framework for Computational Physics
A. S. Richardson, D. F. Gordon, S. B. Swanekamp +9
Computational physics problems often have a common set of aspects to them that any particular numerical code will have to address. Because these aspects are common to many problems…
Measurements of the 64Zn(n,a)61Ni cross section at En=5.0-6.75 MeV
Yu. M. Gledenov, M. V. Sedysheva, P. V. Sedyshev +8
The experiment of determination of the 64Zn(n,a)61Ni reaction cross section in the 5.0-6.75 MeV neutron energy range was performed at the 4.5 MV Van de Graaf accelerator at the Ins…