Revisiting OPRO: The Limitations of Small-Scale LLMs as Optimizers

16 May 2024

Papers citing "Revisiting OPRO: The Limitations of Small-Scale LLMs as Optimizers"

4 / 4 papers shown

Title
Efficient Prompting Methods for Large Language Models: A Survey Kaiyan Chang Songcheng Xu Chenglong Wang Yingfeng Luo Tong Xiao Jingbo Zhu LRM 24 1 0 01 Apr 2024
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes Lokesh Nagalapatti Chun-Liang Li Chih-Kuan Yeh Hootan Nakhost Yasuhisa Fujii Alexander Ratner Ranjay Krishna Chen-Yu Lee Tomas Pfister ALM 198 283 0 03 May 2023
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 2,712 0 24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 297 3,163 0 21 Mar 2022