Simple Linguistic Inferences of Large Language Models (LLMs): Blind Spots and Blinds

24 May 2023

Papers citing "Simple Linguistic Inferences of Large Language Models (LLMs): Blind Spots and Blinds"

8 / 8 papers shown

Title
For GPT-4 as with Humans: Information Structure Predicts Acceptability of Long-Distance Dependencies Nicole Cuneo Eleanor Graves Supantho Rakshit Adele E. Goldberg 14 0 0 13 May 2025
Belief in the Machine: Investigating Epistemological Blind Spots of Language Models Mirac Suzgun Tayfun Gur Federico Bianchi Daniel E. Ho Thomas F. Icard Dan Jurafsky James Zou 29 1 0 28 Oct 2024
Beyond prompt brittleness: Evaluating the reliability and consistency of political worldviews in LLMs Tanise Ceron Neele Falk Ana Barić Dmitry Nikolaev Sebastian Padó 38 15 0 27 Feb 2024
Can Large Language Models Discern Evidence for Scientific Hypotheses? Case Studies in the Social Sciences S. Koneru Jian Wu Sarah Rajtmajer 26 9 0 07 Sep 2023
Entailment Semantics Can Be Extracted from an Ideal Language Model William Merrill Alex Warstadt Tal Linzen 92 14 0 26 Sep 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 328 4,077 0 24 May 2022
NOPE: A Corpus of Naturally-Occurring Presuppositions in English Alicia Parrish Sebastian Schuster Alex Warstadt Omar Agha Soo-hwan Lee Zhuoye Zhao Sam Bowman Tal Linzen LRM 38 23 0 14 Sep 2021
Probing Linguistic Systematicity Emily Goodwin Koustuv Sinha Timothy J. O'Donnell 96 58 0 08 May 2020