Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models

8 January 2025

Papers citing "Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models"

5 / 5 papers shown

Title
Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models Junyu Chen Han Cai Junsong Chen E. Xie Shang Yang Haotian Tang Muyang Li Y. Lu Song Han DiffM 56 7 0 20 Jan 2025
Complexity-Based Prompting for Multi-Step Reasoning Yao Fu Hao-Chun Peng Ashish Sabharwal Peter Clark Tushar Khot ReLM LRM 152 298 0 03 Oct 2022
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
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022