Analyze and Compare CoT Variants: Differentiate between Self-Consistency, Program of
Thought (PoT), Tree-of-Thought (ToT), and Graph-of-Thought (GoT) architectures.
Evaluate Knowledge Editing Techniques: Understand the metrics of Reliability, Locality,
and Portability, and distinguish between internal (ROME) and external (SERAC) editing solutions.
Assess Mathematical Logic Pipelines: Identify the training data (GSM8K, MATH, AIME) and
distillation processes used to enhance long-form mathematical reasoning in models like DeepSeek-Math and
o1.