Can Language Models Be Tricked by Language Illusions? Easier with Syntax, Harder with Semantics

2 November 2023

Papers citing "Can Language Models Be Tricked by Language Illusions? Easier with Syntax, Harder with Semantics"

4 / 4 papers shown

Title
Revenge of the Fallen? Recurrent Models Match Transformers at Predicting Human Language Comprehension Metrics J. Michaelov Catherine Arnett Benjamin Bergen 24 3 0 30 Apr 2024
Simple Linguistic Inferences of Large Language Models (LLMs): Blind Spots and Blinds Victoria Basmov Yoav Goldberg Reut Tsarfaty ReLM LRM 19 5 0 24 May 2023
Syntactic Surprisal From Neural Models Predicts, But Underestimates, Human Processing Difficulty From Syntactic Ambiguities Suhas Arehalli Brian Dillon Tal Linzen 26 35 0 21 Oct 2022
Frequency Effects on Syntactic Rule Learning in Transformers Jason W. Wei Dan Garrette Tal Linzen Ellie Pavlick 80 62 0 14 Sep 2021