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Thanks for your interesting and comprehensive survey.
If possible, please consider adding our evaluation work about LLMs in chemistry, "What indeed can GPT models do in chemistry? A comprehensive benchmark on eight tasks" (https://arxiv.org/abs/2305.18365) to the list.
Our work mainly establish a comprehensive benchmark containing 8 practical chemistry tasks to evaluate LLMs (GPT-4, GPT-3.5,and Davinci-003) for each chemistry task in zero-shot and few-shot in-context learning settings. We aim to solve the lack of comprehensive assessment of LLMs in the field of chemistry.
Thanks! 😊
The text was updated successfully, but these errors were encountered:
Thank you for your interest in our paper.
Your research is valuable and well done and we plan to include it in our survey.
After a while, we will upload the updated version of the paper to arXiv, looking forward to your attention.
Thanks for your interesting and comprehensive survey.
If possible, please consider adding our evaluation work about LLMs in chemistry, "What indeed can GPT models do in chemistry? A comprehensive benchmark on eight tasks" (https://arxiv.org/abs/2305.18365) to the list.
Our work mainly establish a comprehensive benchmark containing 8 practical chemistry tasks to evaluate LLMs (GPT-4, GPT-3.5,and Davinci-003) for each chemistry task in zero-shot and few-shot in-context learning settings. We aim to solve the lack of comprehensive assessment of LLMs in the field of chemistry.
Thanks! 😊
The text was updated successfully, but these errors were encountered: