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instruction-tuning.md

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Instruction-Tuning

Papers

2021

  • (2021-04) Cross-task generalization via natural language crowdsourcing instructions. paper
  • (2021-04) Adapting language models for zero-shot learning by meta-tuning on dataset and prompt collections paper

  • (2021-04) Crossfit: A few-shot learning challenge for cross-task general- ization in NLP paper

  • (2021-09) Finetuned language models are zero-shot learners paper

FLAN

  • (2021-10) Multitask prompted training enables zero-shot task generalization paper

  • (2021-10) MetaICL: Learning to learn in context paper

2022

  • (2022-03) Training language models to follow instructions with human feedback. paper

  • (2022-04) Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks paper

  • (20220-10) Scaling Instruction-Finetuned Language Models paper

Flan-T5/PaLM

2023

  • (2023-04) WizardLM: Empowering Large Language Models to Follow Complex Instructions paper

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