activity
20232026
most citedADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Models

46 citations · 47 across the 16 of their papers we have counts for

collaborators
Showing 2023Show all

2 papers · 1 filter

cs.NE2023★ 1 cited

DISTA: Denoising Spiking Transformer with intrinsic plasticity and spatiotemporal attention

Boxun Xu, Hejia Geng, Yuxuan Yin +1

Among the array of neural network architectures, the Vision Transformer (ViT) stands out as a prominent choice, acclaimed for its exceptional expressiveness and consistent high per…

cs.CL2023

UPAR: A Kantian-Inspired Prompting Framework for Enhancing Large Language Model Capabilities

Hejia Geng, Boxun Xu, Peng Li

Large Language Models (LLMs) have demonstrated impressive inferential capabilities, with numerous research endeavors devoted to enhancing this capacity through prompting. Despite t…