Jérémie Beucler -@jeremiebeucler.bsky.social Profile picture
PhD student with Wim de Neys, Zoe Purcell & Lucie Charles at LaPsyDE; MSc in Cog Sciences at ENS. Working on reasoning, intuition/deliberation & metacognition.
Oct 16 16 tweets 4 min read
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🚨 New preprint: Using Large Language Models to Estimate Belief Strength in Reasoning 🚨

A 🧵👇 Abstract  Accurately quantifying belief strength in heuristics-and-biases tasks is crucial yet methodologically challenging. In this paper, we introduce an automated method leveraging large language models (LLMs) to systematically measure and manipulate belief strength. We specifically tested this method in the widely used “lawyer-engineer” base-rate neglect task, in which stereotypical descriptions (e.g., someone enjoying mathematical puzzles) conflict with normative base-rate information (e.g., engineers represent a very small percentage of the sample). Using this approach, we created an ... 2/14

When asked: "There are 995 politicians and 5 nurses. Person 'L' is kind. Is Person 'L' more likely to be a politician or a nurse?", most people will answer "nurse", neglecting the base-rate info.
Aug 6 8 tweets 3 min read
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New (and first) paper accepted at JEP:LMC 🎉 Ever fallen for this type of questions: "How many animals of each kind did Moses take on the Ark?" Most say "Two," forgetting it was Noah, and not Moses, who took the animals on the Ark. But what’s really going on here?🧵 Abstract of the paper summarizing the main findings. 2/8

These semantic illusions are often used to test for deliberate "System 2" thinking (e.g., in the verbal CRT). The classic theory? We intuitively fall for the illusion & need slow, effortful deliberation to correct the mistake. But is it really that simple? title of the verbal CRT paper