Papers by Ziping Wan

1 papers
From Generalist to Specialist: A Survey of Large Language Models for Chemistry (2025.coling-main)

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Challenge: Existing studies on pretraining of LLMs on extensive web-based texts are insufficient for advanced scientific discovery, especially in chemistry.
Approach: They outline methodologies for incorporating domain-specific chemistry knowledge and multi-modal information into LLMs and conceptualize chemistry LLM agents using chemistry tools.
Outcome: The proposed models are based on domain-specific chemistry knowledge and multi-modal information and are capable of accelerating scientific research.

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