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20232026
most citedADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Models

46 citations · 47 across the 16 of their papers we have counts for

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cs.CL2023

UPAR: A Kantian-Inspired Prompting Framework for Enhancing Large Language Model Capabilities

Hejia Geng, Boxun Xu, Peng Li

Large Language Models (LLMs) have demonstrated impressive inferential capabilities, with numerous research endeavors devoted to enhancing this capacity through prompting. Despite t…