Flatter Access

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.

Further verification on larger model baselines (e.g., 70B+ parameters) would solidify the practical impact for industry-standard deployment. Community Perspectives on Draft Reviews flatter

Could you clarify if you are reviewing a , a piece of writing , or a technical paper so I can refine the tone? The proposal regarding "Flatter Tokens" offers a significant

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. Community Perspectives on Draft Reviews Could you clarify

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