• Zhang et al. (2023) - Understanding Causality with Large Language Models: Feasibility and Opportunities (https://bit.ly/42vF8El)
• Willig et al. (2023) - Causal Parrots: Large Language Models May Talk Causality But Are Not Causal (https://bit.ly/3AZ1CSJ)
• Kıcıman et al. (2023) - Causal Reasoning and Large Language Models: Opening a New Frontier for Causality (https://bit.ly/3HILB7e)
• Lampinen et al. (2023) - Passive learning of active causal strategies in agents and language models (https://bit.ly/3NHrtV9)
• Zhijing et al. (2023) - Can Large Language Models Infer Causation from Correlation? (https://bit.ly/3QE00GU)
• Zhang et al. (2023) - Towards Causal Foundation Model: on Duality between Causal Inference and Attention (https://arxiv.org/pdf/2310.00809.pdf)

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