Papers by Ferdinando Fioretto
Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion (2025.naacl-long)
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Jacob K Christopher, Brian R. Bartoldson, Tal Ben-Nun, Michael Cardei, Bhavya Kailkhura, Ferdinando Fioretto
| Challenge: | Existing methods to accelerate large language model inference are limited by the reliance on incremental token generation in existing draft models. |
| Approach: | They propose an adaptation of speculative decoding which uses discrete diffusion models to generate draft sequences and allows parallelization of both the drafting and verification steps. |
| Outcome: | The proposed approach provides 7.2x speedups over standard generation processes and 1.75x speed ups over existing speculative decoding approaches. |