most citedAnalyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions

9 citations · 9 across the 3 of their papers we have counts for

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cs.CL2023

SAP-sLDA: An Interpretable Interface for Exploring Unstructured Text

Charumathi Badrinath, Weiwei Pan, Finale Doshi-Velez

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…

cs.CL2023★ 9 cited

Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions

Skyler Wu, Eric Meng Shen, Charumathi Badrinath +2

Chain-of-thought (CoT) prompting has been shown to empirically improve the accuracy of large language models (LLMs) on various question answering tasks. While understanding why CoT…