Measuring Massive Multitask Language Understanding

7 September 2020

Papers citing "Measuring Massive Multitask Language Understanding"

6 / 956 papers shown

Title
Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm Laria Reynolds Kyle McDonell 58 851 0 15 Feb 2021
Language Models are Open Knowledge Graphs Chenguang Wang Xiao Liu D. Song SSL KELM 26 135 0 22 Oct 2020
Limitations of Autoregressive Models and Their Alternatives Chu-cheng Lin Aaron Jaech Xin Li Matthew R. Gormley Jason Eisner 29 58 0 22 Oct 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 264 4,532 0 23 Jan 2020
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 458 2,592 0 03 Sep 2019
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 304 7,005 0 20 Apr 2018