Percy Liang and colleagues, 2022
Percy Liang and colleagues’s words on HELM explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.
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Percy Liang and colleagues’s words on HELM explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.
Rowan Zellers and colleagues’s words on HellaSwag explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.
Dan Hendrycks and colleagues’s words on MMLU explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.
Matthew E. Peters and colleagues’s words on ELMo explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.
Pranav Rajpurkar and colleagues’s words on SQuAD explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.
Jonathan Shen and colleagues’s words on Tacotron 2 explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.
Alexei Baevski and colleagues’s words on wav2vec 2.0 explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.
Awni Hannun and colleagues’s words on Deep Speech explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.
Andrew G. Howard and colleagues’s words on MobileNets explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.
Hanxiao Liu and colleagues’s words on DARTS explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.
Olga Russakovsky and colleagues’s words on ImageNet challenge explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.
Mingxing Tan and colleagues’s words on EfficientNet explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.