continual pre-training of language modelscontinual pre-training of language models 语言模型的持续预训练 重点词汇 continual连续的;不间断的;多次重复的,频繁的;接连不断的;频频的 models模型;设计;型;样式;复制;做模特儿;穿戴展示;将…做成模型; model的第三人称单数和复数...
Continual Pre-Training of Large Language Models: How to (re)warm yourmodel?Kshitij Gupta * 1 2 Benjamin Thérien * 1 2 Adam Ibrahim * 1 2 Mats L. Richter 1 2 Quentin Anthony 1 2 3Eugene Belilovsky 4 1 2 Irina Rish 1 2 Timothée Lesort 1 2AbstractLarge language models (LLMs) are...
内容提示: Continual Training of Language Models for Few-Shot LearningZixuan Ke 1 , Haowei Lin 2 , Yijia Shao 2 , Hu Xu 1 , Lei Shu 1∗ and Bing Liu 11 Department of Computer Science, University of Illinois at Chicago2 Wangxuan Institute of Computer Technology, Peking University1 {zke...
ECONET: Effective continual pretraining of language models for event temporal reasoning Proceedings of the 2021 conference on empirical methods in natural language processing, Association for Computational Linguistics, Online and Punta Cana, Dominican Republic (2021), pp. 5367-5380, 10.18653/v1/2021.emn...
We refer to this as "continual pre-training" and the goal is to minimize the loss on new data while maintaining low loss on previous data. 节选自论文《Continual Pre-Training of Large Language Models: How to (re)warm your model?》 个人认为二次预训练的原因是模型第一次预训练使用的语料库...
Propose a novel continual learning (CL) formulation named Continual Knowledge Learning (CKL). The goal is to renew the internal world knowledge of LMs through continual pretraining on new corpora. 提出一种全新的持续学习表示,称作持续知识学习。目的是通过持续地在新语料库上进行预训练,从而更新语言模型...
Large Language Models (LLMs) pre-trained on massive corpora have exhibited remarkable performance on various NLP tasks. However, applying these models to specific domains still poses significant challenges, such as lack of domain knowledge, limited capacity to leverage domain knowledge and inadequate ad...
Natural Language InferenceQNLIERNIE 2.0 BaseAccuracy92.9%# 24 Compare Natural Language InferenceQNLIERNIE 2.0 LargeAccuracy94.6%# 14 Compare Question AnsweringQuora Question PairsERNIE 2.0 LargeAccuracy90.1%# 7 Compare Question AnsweringQuora Question PairsERNIE 2.0 BaseAccuracy89.8%# 10 ...
Continual Pre-Training (CPT) on Large Language Models (LLMs) has been widely used to expand the model's fundamental understanding of specific downstream domains (e.g., math and code). For the CPT on domain-specific LLMs, one important question is how to choose the optimal mixture ratio be...
This paper studies the evolving domain of Continual Learning (CL) in large language models (LLMs), with a focus on developing strategies for efficient and sustainable training. Our primary emphasis is on continual domain-adaptive pretraining, a process designed to equip LLMs with the ability to...