Hint of Thought prompting: an explainable and zero-shot approach to
reasoning tasks with LLMs

Hint of Thought prompting: an explainable and zero-shot approach to reasoning tasks with LLMs

19 May 2023

Papers citing "Hint of Thought prompting: an explainable and zero-shot approach to reasoning tasks with LLMs"

9 / 9 papers shown

Title
HalluShift: Measuring Distribution Shifts towards Hallucination Detection in LLMs Sharanya Dasgupta Sujoy Nath Arkaprabha Basu Pourya Shamsolmoali Swagatam Das HILM 53 0 0 13 Apr 2025
CodeGraph: Enhancing Graph Reasoning of LLMs with Code Qiaolong Cai Zhaowei Wang Shizhe Diao James Kwok Yangqiu Song LRM 41 2 0 25 Aug 2024
If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents Ke Yang Jiateng Liu John Wu Chaoqi Yang Yi Ren Fung ... Xu Cao Xingyao Wang Yiquan Wang Heng Ji Chengxiang Zhai LLMAG ELM 15 67 0 01 Jan 2024
Prompt Engineering Through the Lens of Optimal Control Yifan Luo Yiming Tang Chengfeng Shen Zhennan Zhou Bin Dong OffRL 20 5 0 22 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 197 2,953 0 22 Mar 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
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 242 460 0 06 Jan 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 236 1,508 0 31 Dec 2020
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 238 1,898 0 31 Dec 2020