Flatter (GENUINE)

The rebuttal effectively addressed initial concerns regarding empirical validity on larger scales. By framing the optimization objective as a reduction in the L-norm distance between the target and draft distributions, the authors provide a clear path for improving acceptance rates in high-throughput LLM inference.

The proposal regarding "Flatter Tokens" offers a significant contribution to the optimization of speculative draft models. The core argument—that tokens with flatter distributions in the target model are more valuable for training the draft model—is well-supported by the empirical analysis provided. flatter

“I find it much easier to cut than add, but I just can't maintain motivation without seeing the major scenes in print.” Write It Sideways · 15 years ago flatter