Towards Robust and Efficient Continual Language Learning

Towards Robust and Efficient Continual Language Learning

11 July 2023

Amal Rannen-Triki

Angeliki Lazaridou

MarcÁurelio Ranzato

Papers citing "Towards Robust and Efficient Continual Language Learning"

9 / 9 papers shown

Title
Investigating Continual Pretraining in Large Language Models: Insights and Implications cCaugatay Yildiz Nishaanth Kanna Ravichandran Prishruit Punia Matthias Bethge B. Ermiş CLL KELM LRM 46 23 0 27 Feb 2024
Fine-tuned Language Models are Continual Learners Thomas Scialom Tuhin Chakrabarty Smaranda Muresan CLL LRM 134 116 0 24 May 2022
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models Adam Livska Tomávs Kovciský E. Gribovskaya Tayfun Terzi Eren Sezener ... Susannah Young Ellen Gilsenan-McMahon Sophia Austin Phil Blunsom Angeliki Lazaridou KELM 226 89 0 23 May 2022
Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs Kaichao You Yong Liu Ziyang Zhang Jianmin Wang Michael I. Jordan Mingsheng Long 98 30 0 20 Oct 2021
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5 Chengwei Qin Shafiq R. Joty CLL 155 96 0 14 Oct 2021
Towards Continual Knowledge Learning of Language Models Joel Jang Seonghyeon Ye Sohee Yang Joongbo Shin Janghoon Han Gyeonghun Kim Stanley Jungkyu Choi Minjoon Seo CLL KELM 222 150 0 07 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021
A linearized framework and a new benchmark for model selection for fine-tuning Aditya Deshpande Alessandro Achille Avinash Ravichandran Hao Li L. Zancato Charless C. Fowlkes Rahul Bhotika Stefano Soatto Pietro Perona ALM 105 46 0 29 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,898 0 31 Dec 2020