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cs.CL2024
The Fair Language Model Paradox
Andrea Pinto, Tomer Galanti, Randall Balestriero
Large Language Models (LLMs) are widely deployed in real-world applications, yet little is known about their training dynamics at the token level. Evaluation typically relies on ag…
cs.CL2024
On the Power of Decision Trees in Auto-Regressive Language Modeling
Yulu Gan, Tomer Galanti, Tomaso Poggio +1
Originally proposed for handling time series data, Auto-regressive Decision Trees (ARDTs) have not yet been explored for language modeling. This paper delves into both the theoreti…