8 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CL2024
Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models
Zihao Lin, Mohammad Beigi, Hongxuan Li +5
Memory Editing (ME) has emerged as an efficient method to modify erroneous facts or inject new facts into Large Language Models (LLMs). Two mainstream ME methods exist: parameter-m…
cs.CV2023★ 8 cited
Enhancing Detail Preservation for Customized Text-to-Image Generation: A Regularization-Free Approach
Yufan Zhou, Ruiyi Zhang, Tong Sun +1
Recent text-to-image generation models have demonstrated impressive capability of generating text-aligned images with high fidelity. However, generating images of novel concept pro…
cs.LG2021
A Generic Approach for Enhancing GANs by Regularized Latent Optimization
Yufan Zhou, Chunyuan Li, Changyou Chen +1
With the rapidly growing model complexity and data volume, training deep generative models (DGMs) for better performance has becoming an increasingly more important challenge. Prev…