A new prompting recipe that mixes few-shot chain-of-thought examples with model-generated analogies is claimed to improve STEM question-answering on Mixtral 8x7B, alongside a new 928-question dataset.
Advancements in Scientific Controllable Text Generation Methods
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abstract
The previous work on controllable text generation is organized using a new schema we provide in this study. Seven components make up the schema, and each one is crucial to the creation process. To accomplish controlled generation for scientific literature, we describe the various modulation strategies utilised to modulate each of the seven components. We also offer a theoretical study and qualitative examination of these methods. This insight makes possible new architectures based on combinations of these components. Future research will compare these methods empirically to learn more about their strengths and utility.
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cs.CL 1years
2024 1verdicts
REJECT 1representative citing papers
citing papers explorer
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Steps are all you need: Rethinking STEM Education with Prompt Engineering
A new prompting recipe that mixes few-shot chain-of-thought examples with model-generated analogies is claimed to improve STEM question-answering on Mixtral 8x7B, alongside a new 928-question dataset.