38 citations · 159 across the 19 of their papers we have counts for
3 papers · 2 filters
Linearly Mapping from Image to Text Space
Jack Merullo, Louis Castricato, Carsten Eickhoff +1
The extent to which text-only language models (LMs) learn to represent features of the non-linguistic world is an open question. Prior work has shown that pretrained LMs can be tau…
Pretraining on Interactions for Learning Grounded Affordance Representations
Jack Merullo, Dylan Ebert, Carsten Eickhoff +1
Lexical semantics and cognitive science point to affordances (i.e. the actions that objects support) as critical for understanding and representing nouns and verbs. However, study…
Garden-Path Traversal in GPT-2
William Jurayj, William Rudman, Carsten Eickhoff
In recent years, large-scale transformer decoders such as the GPT-x family of models have become increasingly popular. Studies examining the behavior of these models tend to focus…