When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers
- Hongkang Li
- Yihua Zhang
- et al.
- 2025
- ICLR 2025
Publications
Date
Featured collections
Popular topics
27 results for Sijia Liu
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
- Jinghan Jia
- Jiancheng Liu
- et al.
- 2024
- NeurIPS 2024
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference
- Jiabao Ji
- Yujian Liu
- et al.
- 2024
- NeurIPS 2024
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
- Yihua Zhang
- Pingzhi Li
- et al.
- 2024
- ICML 2024
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
- Hongkang Li
- Meng Wang
- et al.
- 2024
- ICML 2024
Machine Unlearning in Computer Vision: Foundations and Applications
- Sijia Liu
- Yang Liu
- et al.
- 2024
- CVPR 2024
Advancing the Robustness of Large Language Models through Self-Denoised Smoothing
- Jiabao Ji
- Bairu Hou
- et al.
- 2024
- NAACL 2024
AutoVP: An Automated Visual Prompting Framework and Benchmark
- Hsi-ai Tsao
- Lei Hsiung
- et al.
- 2024
- ICLR 2024
SalUn: Empowering Machine Unlearning via Gradient-Based Weight Saliency in Both Image Classification and Generation
- Chongyu Fan
- Jiancheng Liu
- et al.
- 2024
- ICLR 2024
Zeroth-Order Machine Learning: Fundamental Principles and Emerging Applications in Foundation Models
- Sijia Liu
- Zhangyang Wang
- et al.
- 2024
- ICASSP 2024