ISAAQ -- Mastering Textbook Questions with Pre-trained Transformers and Bottom-Up and Top-Down Attention

1 October 2020

Papers citing "ISAAQ -- Mastering Textbook Questions with Pre-trained Transformers and Bottom-Up and Top-Down Attention"

7 / 7 papers shown

Title
Towards Language-driven Scientific AI José Manuél Gómez-Pérez 34 0 0 27 Oct 2022
Artificial Intelligence and Natural Language Processing and Understanding in Space: A Methodological Framework and Four ESA Case Studies José Manuél Gómez-Pérez Andrés García-Silva R. Leone M. Albani Moritz Fontaine C. Poncet L. Summerer A. Donati Ilaria Roma Stefano Scaglioni 18 1 0 07 Oct 2022
MoCA: Incorporating Multi-stage Domain Pretraining and Cross-guided Multimodal Attention for Textbook Question Answering Fangzhi Xu Qika Lin Jun Liu Lingling Zhang Tianzhe Zhao Qianyi Chai Yudai Pan 14 2 0 06 Dec 2021
Perhaps PTLMs Should Go to School -- A Task to Assess Open Book and Closed Book QA Manuel R. Ciosici Joe Cecil Alex Hedges Dong-Ho Lee Marjorie Freedman R. Weischedel 30 9 0 04 Oct 2021
RL-CSDia: Representation Learning of Computer Science Diagrams Shaowei Wang LingLing Zhang Xuan Luo Yi Yang Xin Hu Jun Liu 3DV 15 2 0 10 Mar 2021
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism M. Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 245 1,833 0 17 Sep 2019
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 451 2,589 0 03 Sep 2019