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Found 4 papers, 1 papers with code
CogBench: a large language model walks into a psychology lab
Large language models (LLMs) have significantly advanced the field of artificial intelligence.
Ecologically rational meta-learned inference explains human category learning
We tackle the second challenge by deriving rational agents adapted to these tasks using the framework of meta-learning, leading to a class of models called ecologically rational meta-learned inference (ERMI).
Playing repeated games with Large Language Models
In a large set of two players-two strategies games, we find that LLMs are particularly good at games where valuing their own self-interest pays off, like the iterated Prisoner's Dilemma family.
Inducing anxiety in large language models increases exploration and bias
We focus on the Generative Pre-Trained Transformer 3. 5 and subject it to tasks commonly studied in psychiatry.
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