CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model

24 October 2023

Papers citing "CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model"

6 / 6 papers shown

Title
Privacy-Preserving Text Classification on BERT Embeddings with Homomorphic Encryption Garam Lee Minsoo Kim J. Park Seung-won Hwang Jung Hee Cheon 25 15 0 05 Oct 2022
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 102 349 0 04 Oct 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 236 1,508 0 31 Dec 2020
The Lottery Ticket Hypothesis for Pre-trained BERT Networks Tianlong Chen Jonathan Frankle Shiyu Chang Sijia Liu Yang Zhang Zhangyang Wang Michael Carbin 145 345 0 23 Jul 2020
Similarity Analysis of Contextual Word Representation Models John M. Wu Yonatan Belinkov Hassan Sajjad Nadir Durrani Fahim Dalvi James R. Glass 40 65 0 03 May 2020
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 29,632 0 16 Jan 2013