Measuring Massive Multitask Language Understanding

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Measuring Massive Multitask Language Understanding

7 September 2020

Jacob Steinhardt

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Papers citing "Measuring Massive Multitask Language Understanding"

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Title
Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm Laria Reynolds Kyle McDonell 126 928 0 15 Feb 2021
Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities Nenad Tomašev Kevin R. McKee Jackie Kay Shakir Mohamed FaML 85 89 0 03 Feb 2021
Scaling Laws for Transfer Danny Hernandez Jared Kaplan T. Henighan Sam McCandlish 100 251 0 02 Feb 2021
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 400 1,400 0 17 Jan 2021
How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering Zhengbao Jiang Jun Araki Haibo Ding Graham Neubig UQCV 67 439 0 02 Dec 2020
Language Models are Open Knowledge Graphs Chenguang Wang Xiao Liu Basel Alomair SSL KELM 79 137 0 22 Oct 2020
Limitations of Autoregressive Models and Their Alternatives Chu-cheng Lin Aaron Jaech Xin Li Matthew R. Gormley Jason Eisner 86 63 0 22 Oct 2020
Current Limitations of Language Models: What You Need is Retrieval Aran Komatsuzaki LRM 39 3 0 15 Sep 2020