22 citations · 22 across the 2 of their papers we have counts for
2 papers
cs.CL2023
Decoding Stumpers: Large Language Models vs. Human Problem-Solvers
Alon Goldstein, Miriam Havin, Roi Reichart +1
This paper investigates the problem-solving capabilities of Large Language Models (LLMs) by evaluating their performance on stumpers, unique single-step intuition problems that pos…
cs.CL2023★ 22 cited
The Temporal Structure of Language Processing in the Human Brain Corresponds to The Layered Hierarchy of Deep Language Models
Ariel Goldstein, Eric Ham, Mariano Schain +17
Deep Language Models (DLMs) provide a novel computational paradigm for understanding the mechanisms of natural language processing in the human brain. Unlike traditional psycholing…