Large Language Models (LLMs), with their advanced reasoning capabilities, have made a profound impact on various NLP domains, introducing improvements in predictive accuracy, fairness, robustness, and explainability. By weaving causal relationships among variables into the fabric of these models, AI research is charting a path toward more sophisticated and ethical technologies. Read more here.

• Focus on LLM reasoning, fairness, safety, and multimodality
• LLMs contribute to causal relationship discovery and estimations
• Evaluation of LLMs from a causal perspective
• Potential for more equitable AI systems

The integration of causal inference and LLMs heralds an era of thoughtfully designed AI that can account for complex, intertwined variables, leading to fairer, more robust systems. This comprehensive survey underscores the dual path of enhancing LLM reasoning while leveraging it for causal analysis, setting a stage for AI that is not only intelligent but ethically cognizant.