BioPlanner: Automatic Evaluation of LLMs on Protocol Planning in Biology (2023.emnlp-main)
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| Challenge: | Large Language Models (LLMs) have impressive capabilities on a wide range of tasks, such as question answering and the generation of coherent text and code. |
| Approach: | They propose a framework for automatic evaluation of large language models on open-ended planning problems and a dataset of biology protocols with corresponding pseudocode representations. |
| Outcome: | The proposed framework evaluates an LLM on a dataset of biology protocols with corresponding pseudocode representations. |
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