1 citations · 1 across the 2 of their papers we have counts for
3 papers
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.CR2024
Distortion-free Watermarks are not Truly Distortion-free under Watermark Key Collisions
Yihan Wu, Ruibo Chen, Zhengmian Hu +4
Language model (LM) watermarking techniques inject a statistical signal into LM-generated content by substituting the random sampling process with pseudo-random sampling, using wat…
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…