5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CL2025
Is There a Case for Conversation Optimized Tokenizers in Large Language Models?
Raquel Ferrando, Javier Conde, Gonzalo Martínez +1
The computational and energy costs of Large Language Models (LLMs) have increased exponentially driven by the growing model sizes and the massive adoption of LLMs by hundreds of mi…
cs.CL2024★ 5 cited
Why Do Large Language Models (LLMs) Struggle to Count Letters?
Tairan Fu, Raquel Ferrando, Javier Conde +2
Large Language Models (LLMs) have achieved unprecedented performance on many complex tasks, being able, for example, to answer questions on almost any topic. However, they struggle…