Summary of Llm Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models, by Akshaj Kumar Veldanda et al.
LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Modelsby Akshaj Kumar Veldanda, Shi-Xiong…
LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Modelsby Akshaj Kumar Veldanda, Shi-Xiong…
Optimal or Greedy Decision Trees? Revisiting their Objectives, Tuning, and Performanceby Jacobus G. M. van…
Hierarchical Graph Pooling Based on Minimum Description Lengthby Jan von Pichowski, Christopher Blöcker, Ingo ScholtesFirst…
Multiplex Graph Contrastive Learning with Soft Negativesby Zhenhao Zhao, Minhong Zhu, Chen Wang, Sijia Wang,…
Half-VAE: An Encoder-Free VAE to Bypass Explicit Inverse Mappingby Yuan-Hao Wei, Yan-Jie Sun, Chen ZhangFirst…
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architectureby Qianlong Xiang, Miao Zhang, Yuzhang…
Task-Oriented Communication for Graph Data: A Graph Information Bottleneck Approachby Shujing Li, Yanhu Wang, Shuaishuai…
Deep non-parametric logistic model with case-control data and external summary informationby Hengchao Shi, Ming Zheng,…
Debiasing Graph Representation Learning based on Information Bottleneckby Ziyi Zhang, Mingxuan Ouyang, Wanyu Lin, Hao…
Regret Analysis for Randomized Gaussian Process Upper Confidence Boundby Shion Takeno, Yu Inatsu, Masayuki KarasuyamaFirst…