The Flan Collection demonstrates that task balancing, data enrichment, and mixed prompt training are critical to effective instruction tuning, yielding stronger Flan-T5 models released publicly.
Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, and Richard Socher
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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CTRL is a large conditional transformer language model that uses naturally occurring control codes to steer text generation style and content.
citing papers explorer
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The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
The Flan Collection demonstrates that task balancing, data enrichment, and mixed prompt training are critical to effective instruction tuning, yielding stronger Flan-T5 models released publicly.
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CTRL: A Conditional Transformer Language Model for Controllable Generation
CTRL is a large conditional transformer language model that uses naturally occurring control codes to steer text generation style and content.