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cs.CL2025
Unraveling Syntax: Language Modeling and the Substructure of Grammars
Laura Ying Schulz, Daniel Mitropolsky, Tomaso Poggio
While language models achieve impressive results, their learning dynamics are far from understood. Many domains of interest -- such as natural language syntax, coding languages, ar…
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…