28 citations · 28 across the 5 of their papers we have counts for
5 papers
Measuring Behavioural Signatures of Large Language Models through Psychometric Profiling
Yu Sha, Junqi Tao, Dixin Zhou +10
Large language models (LLMs) increasingly mediate human decisions and communication, yet their behavioural regularities remain difficult to characterize systematically. We develop…
Deep learning approaches to extract nuclear deformation parameters from initial-state information in heavy-ion collisions
Jun-Qi Tao, Yang Liu, Yu Sha +5
The deformation of heavy nuclei leaves characteristic imprints on the initial conditions of relativistic heavy-ion collisions. However, event-by-event fluctuations make the quantit…
Initial spin fluctuations as a probe of cluster spin structure in and nuclei
Xiang Fan, Jun-Qi Tao, Ze-Fang Jiang +1
We investigate the imprint of clustering on initial spin fluctuations in relativistic and collisions a…
A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC
Jun-Qi Tao, Xiang Fan, Yang Liu +4
We develop a neural network model, based on the processes of high-energy heavy-ion collisions, to study and predict several experimental observables in Au+Au collisions. We present…
Number-of-constituent-quark scaling of elliptic flow: a quantitative study
M. Wang, J. Q. Tao, H. Zheng +3
The number-of-constituent-quark (NCQ) scaling behavior of the elliptic flow of identified particles produced in A+A collisions is studied quantitatively using an empirical function…