42 citations · 81 across the 24 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.CL2023★ 7 cited
Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals
Yair Gat, Nitay Calderon, Amir Feder +3
Causal explanations of the predictions of NLP systems are essential to ensure safety and establish trust. Yet, existing methods often fall short of explaining model predictions eff…
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…