4 citations · 4 across the 6 of their papers we have counts for
4 papers · 1 filter
Decoupling Positional and Symbolic Attention Behavior in Transformers
Felipe Urrutia, Jorge Salas, Alexander Kozachinskiy +3
An important aspect subtending language understanding and production is the ability to independently encode positional and symbolic information of the words within a sentence. In T…
Continuity and Isolation Lead to Doubts or Dilemmas in Large Language Models
Hector Pasten, Felipe Urrutia, Hector Jimenez +3
Understanding how Transformers work and how they process information is key to the theoretical and empirical advancement of these machines. In this work, we demonstrate the existen…
Zero-Shot Decision Tree Construction via Large Language Models
Lucas Carrasco, Felipe Urrutia, Andrés Abeliuk
This paper introduces a novel algorithm for constructing decision trees using large language models (LLMs) in a zero-shot manner based on Classification and Regression Trees (CART)…
Strassen Attention, Split VC Dimension and Compositionality in Transformers
Alexander Kozachinskiy, Felipe Urrutia, Hector Jimenez +6
We propose the first method to show theoretical limitations for one-layer softmax transformers with arbitrarily many precision bits (even infinite). We establish those limitations…