Jingpu Cheng

Machine Unlearning under Retain–Forget Entanglement

LoRA in the Right Place: Which Block to Tune in Parameter-Efficient Fine-Tuning?

Allocation of Parameters in Transformers

A unified framework for establishing the universal approximation of transformer-type architectures

From Weight-Based to State-Based Fine-Tuning: Further Memory Reduction on LoRA with Parallel Control

Rate of Approximation by Flows: A Case Study on the Eikonal Equation