Multitask Prompt Tuning for Efficient Adaptation of Language Models

Researchers

Rogerio Feris / Rameswar Panda / Yoon Kim / Leonid Karlinsky / Zhen Wang

Departments: Dept of Electrical Engineering & Computer Science
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML) / Computer Science: Networking & Signals
Impact Areas: Connected World

  • multitask prompt tuning for parameter-efficient transfer learning
    United States of America | Pending

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