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cs.LG2026
On the Cost and Benefit of Chain of Thought: A Learning-Theoretic Perspective
Yue Zhang, Zhiyi Dong, Tommaso Cesari +1
We develop a learning-theoretic framework for understanding Chain of Thought (CoT). We model CoT as the interaction between an answer map and a chain rule that generates intermedia…
cs.LG2023
Adversarial Defenses via Vector Quantization
Zhiyi Dong, Yongyi Mao
Adversarial attacks pose significant challenges to the robustness of modern deep neural networks in computer vision, and defending these networks against adversarial attacks has at…