Watermarkable Multi-Draft Speculative Sampling via Poisson Processes
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TL;DR - This paper introduces a Poisson-process-based multi-draft speculative sampling algorithm that supports unbiased watermarking without reducing speculative acceptance. It advances the trade-off between efficient LLM inference and reliable output provenance.
- Uses an exact list-coupling-without-communication scheme to enable multi-draft speculative sampling.
- Provides drafter invariance, benefiting both sampling efficiency and watermark robustness.
- Preserves watermark strength without sacrificing speculative acceptance.
- Experiments report strong performance across both sampling efficiency and watermarking.
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Watermarkable Multi-Draft Speculative Sampling via Poisson Processes
Public signals
N/A
TL;DR - This paper introduces a Poisson-process-based multi-draft speculative sampling algorithm that supports unbiased watermarking without reducing speculative acceptance. It advances the trade-off between efficient LLM inference and reliable output provenance.
- Uses an exact list-coupling-without-communication scheme to enable multi-draft speculative sampling.
- Provides drafter invariance, benefiting both sampling efficiency and watermark robustness.
- Preserves watermark strength without sacrificing speculative acceptance.
- Experiments report strong performance across both sampling efficiency and watermarking.