An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training

1 October 2020

Papers citing "An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training"

5 / 5 papers shown

Title
Language Models Meet World Models: Embodied Experiences Enhance Language Models Jiannan Xiang Tianhua Tao Yi Gu Tianmin Shu Zirui Wang Zichao Yang Zhiting Hu ALM LLMAG LM&Ro CLL 36 94 0 18 May 2023
Kronecker Factorization for Preventing Catastrophic Forgetting in Large-scale Medical Entity Linking Denis Jered McInerney Luyang Kong Kristjan Arumae Byron C. Wallace Parminder Bhatia CLL 24 1 0 11 Nov 2021
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora Xisen Jin Dejiao Zhang Henghui Zhu Wei Xiao Shang-Wen Li Xiaokai Wei Andrew O. Arnold Xiang Ren KELM CLL 31 111 0 16 Oct 2021
Question Answering over Electronic Devices: A New Benchmark Dataset and a Multi-Task Learning based QA Framework Abhilash Nandy Soumya Sharma Shubham Maddhashiya K. Sachdeva Pawan Goyal Niloy Ganguly 30 17 0 13 Sep 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 299 6,984 0 20 Apr 2018