DynaThink: Fast or Slow? A Dynamic Decision-Making Framework for Large
Language Models

DynaThink: Fast or Slow? A Dynamic Decision-Making Framework for Large Language Models

1 July 2024

Yan Zhang

Zuozhu Liu

Haizhou Li

Papers citing "DynaThink: Fast or Slow? A Dynamic Decision-Making Framework for Large Language Models"

7 / 7 papers shown

Title
Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMs Jinyan Su Jennifer Healey Preslav Nakov Claire Cardie LRM 115 0 0 30 Apr 2025
Fast-Slow-Thinking: Complex Task Solving with Large Language Models Yiliu Sun Yanfang Zhang Zicheng Zhao Sheng Wan Dacheng Tao Chen Gong LRM 33 0 0 11 Apr 2025
ShadowCoT: Cognitive Hijacking for Stealthy Reasoning Backdoors in LLMs Gejian Zhao Hanzhou Wu Xinpeng Zhang Athanasios V. Vasilakos LRM 36 1 0 08 Apr 2025
Complexity-Based Prompting for Multi-Step Reasoning Yao Fu Hao-Chun Peng Ashish Sabharwal Peter Clark Tushar Khot ReLM LRM 162 412 0 03 Oct 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 293 4,077 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 3,236 0 21 Mar 2022
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies Mor Geva Daniel Khashabi Elad Segal Tushar Khot Dan Roth Jonathan Berant RALM 245 671 0 06 Jan 2021