arXiv cs.CL
· Papers
Breaking the Likelihood Trap: Variance-Calibrated Modulation for Large Language Model Decoding
arXiv:2606.22511v2 Announce Type: replace Abstract: In open-ended generation, LLMs frequently fall into the "likelihood trap", marked by repetitive degeneration and vocabulary dullness, creating a discrepancy between machine-generated and human-written text. While post-hoc tail truncation (e.g., Top-$p$, Min-$p$) avoid