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cs.LG2025
Out-of-Vocabulary Sampling Boosts Speculative Decoding
Nadav Timor, Jonathan Mamou, Oren Pereg +2
Speculative decoding relies on fast and accurate drafters. Recent state-of-the-art language models employ larger and larger vocabularies, which significantly slows down drafters. O…
cs.LG2024★ 1 cited
zkLLM: Zero Knowledge Proofs for Large Language Models
Haochen Sun, Jason Li, Hongyang Zhang
The recent surge in artificial intelligence (AI), characterized by the prominence of large language models (LLMs), has ushered in fundamental transformations across the globe. Howe…