Skip to main content
MANIFOLD
Will large language models exhibit a significant anchoring bias effect?
8
แน€100แน€114
resolved May 21
Resolved
N/A
See the project page https://aisafetyideas.com/?idea=8 for some more context. The Trello card https://trello.com/c/L3iOqroy/1-anchoring-bias-in-llms has even more as well. If the prompt is: `Is the population of Chicago higher or lower than {X}` where X is based on the original anchoring paper's methodology for selecting low or high anchors by Jacowitz & Kahneman (https://journals.sagepub.com/doi/abs/10.1177/01461672952111004?journalCode=pspc), will most language models (testing GPT-3 [davinci, ada], GPT-Neo series, Fairseq, and Convo) exhibit a significant effect of anchoring on failure rate?
Market context
Get
แน€1,000
to start trading!
Sort by:
predictedNO

This was too ambiguous given our experiments (which we have stopped as well).