xufangzhi/Symbol-LLM
[ACL 2024] The project of Symbol-LLM
This project helps large language models (LLMs) better understand and generate content that includes specialized symbolic information, like chemical formulas or mathematical equations, alongside natural language. It takes in general text queries that might contain these symbols and outputs more accurate and contextually relevant responses. This is ideal for researchers, scientists, or technical professionals who need LLMs to handle both conversational language and precise symbolic data.
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Use this if you need an LLM to accurately process and generate content that mixes natural language with complex symbolic information, such as those found in science, engineering, or mathematics.
Not ideal if your primary need is for a general-purpose LLM solely focused on natural language processing without requiring specialized symbolic understanding.
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Language
Python
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Last pushed
Jul 10, 2024
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