23 citations · 74 across the 6 of their papers we have counts for
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cs.CL2023★ 11 cited
A Sentence is Worth a Thousand Pictures: Can Large Language Models Understand Hum4n L4ngu4ge and the W0rld behind W0rds?
Evelina Leivada, Gary Marcus, Fritz Günther +1
Modern Artificial Intelligence applications show great potential for language-related tasks that rely on next-word prediction. The current generation of Large Language Models (LLMs…
cs.LG2023★ 23 cited
Getting from Generative AI to Trustworthy AI: What LLMs might learn from Cyc
Doug Lenat, Gary Marcus
Generative AI, the most popular current approach to AI, consists of large language models (LLMs) that are trained to produce outputs that are plausible, but not necessarily correct…
cs.CL2023★ 18 cited
Testing AI on language comprehension tasks reveals insensitivity to underlying meaning
Vittoria Dentella, Fritz Guenther, Elliot Murphy +2
Large Language Models (LLMs) are recruited in applications that span from clinical assistance and legal support to question answering and education. Their success in specialized ta…