20 citations · 43 across the 6 of their papers we have counts for
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cs.CL2024★ 7 cited
Lies, Damned Lies, and Distributional Language Statistics: Persuasion and Deception with Large Language Models
Cameron R. Jones, Benjamin K. Bergen
Large Language Models (LLMs) can generate content that is as persuasive as human-written text and appear capable of selectively producing deceptive outputs. These capabilities rais…
cs.CL2024★ 1 cited
Dissecting the Ullman Variations with a SCALPEL: Why do LLMs fail at Trivial Alterations to the False Belief Task?
Zhiqiang Pi, Annapurna Vadaparty, Benjamin K. Bergen +1
Recent empirical results have sparked a debate about whether or not Large Language Models (LLMs) are capable of Theory of Mind (ToM). While some have found LLMs to be successful on…