GPT-4 models rediscover Langmuir isotherms and produce fits on Nikuradse pipe-flow data via iterative chain-of-thought prompting with scientific context and external code feedback.
Pre-trained Language Models as Prior Knowledge for Playing Text-Based Games
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GPT-J with full action history achieves 3.5x improvement over RL in ScienceWorld and matches a two-stage system using 29x larger models.
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In Context Learning and Reasoning for Symbolic Regression with Large Language Models
GPT-4 models rediscover Langmuir isotherms and produce fits on Nikuradse pipe-flow data via iterative chain-of-thought prompting with scientific context and external code feedback.
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Remember what you did so you know what to do next
GPT-J with full action history achieves 3.5x improvement over RL in ScienceWorld and matches a two-stage system using 29x larger models.