Literature

• Feng, G., Zhang, B., Gu, Y., Ye, H., He, D., & Wang, L. (2023). Towards revealing the mystery behind chain of thought: a theoretical perspective. Advances in Neural Information Processing Systems, 36, 70757-70798. pdf at neurips.cc. Teams discussion channel.

• J. MacCormick (2026). Thinking AI: How Artificial Intelligence Emulates Human Understanding. Princeton University Press. chapter 10 (link is restricted to members the COMP560 MS Team), PUP, Amazon.

• Lindsey, et al., “On the Biology of a Large Language Model”, Transformer Circuits, 2025. html at Anthropic

• Baeumel, Tanja, Josef van Genabith, and Simon Ostermann. “The lookahead limitation: Why multi-operand addition is hard for LLMs.” arXiv preprint arXiv:2502.19981 (2025). pdf at arXiv.