An Examination on the Effectiveness of Divide-and-Conquer Prompting in
Large Language Models

An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models

8 February 2024

Yizhou Zhang

Yan Liu

Papers citing "An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models"

8 / 8 papers shown

Title
Recursive Decomposition with Dependencies for Generic Divide-and-Conquer Reasoning Sergio Hernández-Gutiérrez Minttu Alakuijala Alexander Nikitin Pekka Marttinen LRM 60 2 0 05 May 2025
ShorterBetter: Guiding Reasoning Models to Find Optimal Inference Length for Efficient Reasoning Jingyang Yi Jiazheng Wang Sida Li ReLM OODD LRM 144 2 0 30 Apr 2025
When More is Less: Understanding Chain-of-Thought Length in LLMs Yuyang Wu Yifei Wang Tianqi Du Stefanie Jegelka Yisen Wang LRM 54 24 0 11 Feb 2025
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting Defu Cao Furong Jia Sercan Ö. Arik Tomas Pfister Yixiang Zheng Wen Ye Yan Liu AI4TS 35 123 0 08 Oct 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4 Sébastien Bubeck Varun Chandrasekaran Ronen Eldan J. Gehrke Eric Horvitz ... Scott M. Lundberg Harsha Nori Hamid Palangi Marco Tulio Ribeiro Yi Zhang ELM AI4MH AI4CE ALM 298 2,232 0 22 Mar 2023
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations Jaehun Jung Lianhui Qin Sean Welleck Faeze Brahman Chandra Bhagavatula Ronan Le Bras Yejin Choi ReLM LRM 229 190 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 314 3,248 0 21 Mar 2022
Inconsistency in Conference Peer Review: Revisiting the 2014 NeurIPS Experiment Corinna Cortes Neil D. Lawrence 37 43 0 20 Sep 2021