Soham De

Human feedback can transform AI-generated notes into more helpful content, but these collaborative efforts still struggle for visibility compared to traditional notes.

LLMs can fake stochasticity with random seeds, but their direct sampling from distributions is fundamentally broken.

Seemingly counterintuitively, iterative refinement via sequential sampling hurts the performance of large reasoning models, primarily due to a lack of exploration compared to parallel sampling.