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Cerebras Systems (United States)

2 papers here36 citations across 2
fields
  • cs.CL1
  • eess.IV1
ROR 040zz8080OpenAlex

affiliations via OpenAlex

most citedHow fine can fine-tuning be? Learning efficient language models

26 citations

researchers with a paper here
  • D. DeCoste1 · h 25
  • Evani Radiya-Dixit1 · h 4
  • Joel Hestness1 · h 18
  • M. Pendse1
  • R. Holmdahl1
  • Vitaliy Chiley1
  • Vithursan Thangarasa1 · h 8
  • Xin Wang1 · h 11
collaborating institutions
  • Stanford UniversityUS1 paper
Showing cs.CLShow all

1 paper · 1 filter

cs.CL2020★ 26 cited

How fine can fine-tuning be? Learning efficient language models

Evani Radiya-Dixit, Xin Wang

State-of-the-art performance on language understanding tasks is now achieved with increasingly large networks; the current record holder has billions of parameters. Given a languag…

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