Papers by Nesreen Ahmed

1 papers
Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text (2024.emnlp-main)

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Challenge: Large Language Models (LLMs) excel at straightforward reasoning tasks, but struggle when faced with complex multi-step reasoning.
Approach: They propose a framework that converts unstructured text into a graph and instructs LLMs to navigate this graph using task-specific strategies.
Outcome: The proposed framework improves the multi-step reasoning capabilities of Large Language Models in a zero-shot setting.

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