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    Home Unlabelled [R] New Multitask Benchmark Suggests Even the Best Language Models Don’t Have a Clue What They’re Doing Computer Science

    [R] New Multitask Benchmark Suggests Even the Best Language Models Don’t Have a Clue What They’re Doing Computer Science

    September 10, 2020

    [R] New Multitask Benchmark Suggests Even the Best Language Models Don’t Have a Clue What They’re Doing Computer Science

    [R] New Multitask Benchmark Suggests Even the Best Language Models Don’t Have a Clue What They’re Doing

    Posted: 09 Sep 2020 12:52 PM PDT

    The recently published paper, Measuring Massive Multitask Language Understanding, introduces a test covering topics such as elementary mathematics, US history, computer science, law, etc., designed to measure language models' multitask accuracy. The authors, from UC Berkeley, Columbia University, UChicago, and UIUC, conclude that even the top-tier 175-billion-parameter OpenAI GPT-3 language model is a bit daft when it comes to language understanding, especially when encountering topics in greater breadth and depth than explored by previous benchmarks.

    Here is a quick read: New Multitask Benchmark Suggests Even the Best Language Models Don't Have a Clue What They're Doing

    The paper Measuring Massive Multitask Language Understanding is on arXiv.

    submitted by /u/Yuqing7
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    submitted by /u/mankumar124
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    submitted by /u/TheAlbinoRino
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