AI RESEARCH
Progress Ratio Embeddings: An Impatience Signal for Robust Length Control in Neural Text Generation
arXiv CS.CL
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ArXi:2512.06938v2 Announce Type: replace Modern neural language models achieve high accuracy in text generation, yet precise control over generation length remains underdeveloped. In this paper, we first investigate a recent length control method based on Reverse Positional Embeddings (RPE) and show its limits when control is requested beyond the