1 citations · 3 across the 6 of their papers we have counts for
4 papers · 1 filter
Language Models over Canonical Byte-Pair Encodings
Tim Vieira, Tianyu Liu, Clemente Pasti +7
Modern language models represent probability distributions over character strings as distributions over (shorter) token strings derived via a deterministic tokenizer, such as byte-…
From Language Models over Tokens to Language Models over Characters
Tim Vieira, Ben LeBrun, Mario Giulianelli +5
Modern language models are internally -- and mathematically -- distributions over strings rather than strings, posing numerous challenges for programm…
On the Proper Treatment of Tokenization in Psycholinguistics
Mario Giulianelli, Luca Malagutti, Juan Luis Gastaldi +3
Language models are widely used in computational psycholinguistics to test theories that relate the negative log probability (the surprisal) of a region of interest (a substring of…
The Foundations of Tokenization: Statistical and Computational Concerns
Juan Luis Gastaldi, John Terilla, Luca Malagutti +3
Tokenization - the practice of converting strings of characters from an alphabet into sequences of tokens over a vocabulary - is a critical step in the NLP pipeline. The use of tok…