Papers by Ivanhoé Botcazou

1 papers
Progress Ratio Embeddings: An Impatience Signal for Robust Length Control in Neural Text Generation (2026.findings-acl)

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Challenge: Modern neural language models achieve high accuracy in text generation, yet precise control over generation length remains underdeveloped.
Approach: They propose a method to provide robust length control using Reverse Positional Embeddings.
Outcome: The proposed method provides stable length fidelity without degrading text accuracy . the proposed method generalizes well to unseen target lengths .

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