From Static to Dynamic: A Continual Learning Framework for Large
Language Models

From Static to Dynamic: A Continual Learning Framework for Large Language Models

22 October 2023

See-kiong Ng

Papers citing "From Static to Dynamic: A Continual Learning Framework for Large Language Models"

5 / 5 papers shown

Title
What Language Model to Train if You Have One Million GPU Hours? Teven Le Scao Thomas Wang Daniel Hesslow Lucile Saulnier Stas Bekman ... Lintang Sutawika Jaesung Tae Zheng-Xin Yong Julien Launay Iz Beltagy MoE AI4CE 261 107 0 27 Oct 2022
Fact or Fiction: Verifying Scientific Claims David Wadden Shanchuan Lin Kyle Lo Lucy Lu Wang Madeleine van Zuylen Arman Cohan Hannaneh Hajishirzi HAI 126 452 0 30 Apr 2020
Boilerplate Removal using a Neural Sequence Labeling Model Jurek Leonhardt Avishek Anand Megha Khosla VLM 29 22 0 22 Apr 2020
The Web as a Knowledge-base for Answering Complex Questions Alon Talmor Jonathan Berant 79 580 0 18 Mar 2018
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 650 31,490 0 16 Jan 2013