7 citations · 7 across the 3 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cs.CL2026
A Family of LLMs Liberated from Static Vocabularies
Aleph Alpha, :, Adnen Abdessaied +35
Tokenization is a central component of natural language processing in current large language models (LLMs), enabling models to convert raw text into processable units. Although lea…
cs.LG2026
1-Bit Wonder: Improving QAT Performance in the Low-Bit Regime through K-Means Quantization
Sohir Maskey, Constantin Eichenberg, Johannes Messner +1
Quantization-aware training (QAT) is an effective method to drastically reduce the memory footprint of LLMs while keeping performance degradation at an acceptable level. However, t…