Papers by Ziyu Hou

1 papers
HoneyComb: A Flexible LLM-Based Agent System for Materials Science (2024.findings-emnlp)

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Challenge: specialized large language models (LLMs) have shown promise in materials science but often struggle with the distinct complexities of materials science tasks.
Approach: They propose a new LLM-based agent system specifically designed for materials science that leverages a reliable materials science knowledge base and a sophisticated tool hub.
Outcome: The proposed system outperforms baseline models across tasks in materials science while ensuring accuracy and relevance.

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