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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