Progress Ratio Embeddings: An Impatience Signal for Robust Length Control in Neural Text Generation
Analysis
This article introduces a novel method, Progress Ratio Embeddings, to improve length control in neural text generation. The approach aims to provide an 'impatience signal' to the model, potentially leading to more controlled and robust outputs. The source is ArXiv, indicating it's a research paper.
Key Takeaways
Reference
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