1 citations · 1 across the 5 of their papers we have counts for
5 papers
A Unified Framework for In-Context Learning with Causal and Masked Language Models
Chenrui Liu, Chuanlong Xie, Falong Tan +2
In-context learning (ICL) has emerged as a central capability of pretrained language models, yet its theoretical analysis has focused primarily on causal language models trained by…
In-Context Learning as Nonparametric Conditional Probability Estimation: Risk Bounds and Optimality
Chenrui Liu, Falong Tan, Chuanlong Xie +2
This paper investigates the expected excess risk of in-context learning (ICL) for multiclass classification. We formalize each task as a sequence of labeled examples followed by a…
Modelling anisotropic Cahn-Hilliard equation with the lattice Boltzmann method
Xinyue Liu, Lei Wang, Chenrui Liu
The anisotropic Cahn-Hilliard equation is often used to model the formation of faceted pyramids on nanoscale crystal surfaces. In comparison to the isotropic Cahn-Hilliard model, t…
Optimizing food taste sensory evaluation through neural network-based taste electroencephalogram channel selection
Xiuxin Xia, Qun Wang, He Wang +4
The taste electroencephalogram (EEG) evoked by the taste stimulation can reflect different brain patterns and be used in applications such as sensory evaluation of food. However, c…
AGS: An Dataset and Taxonomy for Domestic Scene Sound Event Recognition
Nan Che, Chenrui Liu, Fei Yu
Environmental sound scene and sound event recognition is important for the recognition of suspicious events in indoor and outdoor environments (such as nurseries, smart homes, nurs…