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The Generative Gap Between Speculative Drafter and Continuous Diffusion Language Model
Author1, Author2, Author3, Author4, Author5
language generationmodel evaluationiterative refinement
2610.40847
Builder Relevance
2h ago80%
Abstract
This paper compares continuous diffusion language models and speculative drafters in terms of their language generation capabilities.
Reality Card
Core Claim
LangFlow outperforms DSpark variants in generation perplexity and distributional similarity at longer sequence lengths.
Method / Result
LangFlow achieves better performance than DSpark variants at lengths 128 and 1024.
Limitations
The models were trained from scratch without target features or verification, which may affect reproducibility.
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