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SAP-sLDA: An Interpretable Interface for Exploring Unstructured Text
A common way to explore text corpora is through low-dimensional projections of the documents, where one hopes that thematically similar documents will be clustered together in the projected space.
Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions
Chain-of-thought (CoT) prompting has been shown to empirically improve the accuracy of large language models (LLMs) on various question answering tasks.
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