#memorization

#memorization

In API-based LLM integrations, models don't retain any memory between requests. Each prompt is interpreted in isolation, emphasizing the need for continuous context sharing.

Mobile eLearning apps may be great for engaging students but could promote memorization over true understanding, raising concerns about the depth of learning achieved.

In our research, we find evidence that the effect of CoT fundamentally depends on generating sequences of words that increase the probability of the correct answer when conditioned upon. Interestingly, our findings suggest that CoT can succeed even in the face of invalid demonstrations, opening up new discussions about the interplay of reasoning and memorization in LLM outputs.