What is recorded here?
Used a faster draft model and parallel target-model scoring with corrected acceptance sampling to produce multiple tokens per target call while preserving its sampling distribution.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Two independently developed papers share the core sampler and are counted once. The nine authors belong to two distinct bylines. Gains depend on acceptance, hardware and workloads; floating-point numerics still matter.
Read the original work
- Fast Inference from Transformers via Speculative Decoding
- Accelerating Large Language Model Decoding with Speculative Sampling
- Google Research: Fast Inference from Transformers via Speculative Execution
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
Yaniv Leviathan; Matan Kalman; Yossi Matias; Charlie Chen; Sebastian Borgeaud; Geoffrey Irving; Jean-Baptiste Lespiau; Laurent Sifre; John Jumper
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
Leviathan and Chen teams: distribution-preserving speculative decoding
Used a faster draft model and parallel target-model scoring with corrected acceptance sampling to produce multiple tokens per target call while preserving its sampling distribution.
Scientific scope
Two independently developed papers share the core sampler and are counted once. The nine authors belong to two distinct bylines. Gains depend on acceptance, hardware and workloads; floating-point numerics still matter.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Yaniv Leviathan; Matan Kalman; Yossi Matias; Charlie Chen; Sebastian Borgeaud; Geoffrey Irving; Jean-Baptiste Lespiau; Laurent Sifre; John Jumper
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.