Papers by Armel Zebaze

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Challenge:	Large Language Models (LLMs) have demonstrated remarkable performance across multipletasks through in-context learning.
Approach:	They propose a Tree of Problems (ToP) that is a simpler version of Tree of Thoughts (toT) they propose 'in-context learning' is the ability of Large Language Models (LLMs) to perform a task with the help of a few demonstrations within their context.
Outcome:	The proposed approach outperforms ToT and GoT and performs better on complex reasoning tasks.