Cross-linguistic patterns of cognitive biases in large language models: a comparative study in English, Hebrew, and Russian

Large Language Models (LLMs) are being increasingly incorporated into decision-support systems. Nonetheless, a lack of clarity remains with reference to their reasoning processes, particularly in multilingual contexts. This uncertainty extends to cognitive biases - systematic errors in judgment, similar to those documented in human cognition. Existing research on cognitive biases in LLMs has focused primarily on English-language settings and a limited range of model families, leaving open the qu