Papers by Gaël de Léséleuc de Kérouara

1 papers
Breaking Writer’s Block: Low-cost Fine-tuning of Natural Language Generation Models (2021.eacl-demos)

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Challenge: Currently, it is standard procedure to fine-tune large pre-trained language models for information extraction tasks, but this is not the case for generation tasks, which relies on a variety of techniques for controlled language generation.
Approach: They propose a system that fine-tunes a natural language generation model for the problem of solving writer’s block.
Outcome: The proposed system obtains excellent results even with a small number of epochs and a total cost of USD 150.

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