Large Language Models are Null-Shot Learners

16 January 2024

Papers citing "Large Language Models are Null-Shot Learners"

6 / 6 papers shown

Title
ChatGPT4PCG 2 Competition: Prompt Engineering for Science Birds Level Generation Pittawat Taveekitworachai Febri Abdullah Mury F. Dewantoro Yi Xia Pratch Suntichaikul R. Thawonmas Julian Togelius Jochen Renz 16 1 0 05 Mar 2024
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models W. Yu Hongming Zhang Xiaoman Pan Kaixin Ma Hongwei Wang Dong Yu KELM RALM LRM 58 101 0 15 Nov 2023
ReAct: Synergizing Reasoning and Acting in Language Models Shunyu Yao Jeffrey Zhao Dian Yu Nan Du Izhak Shafran Karthik Narasimhan Yuan Cao LLMAG ReLM LRM 208 2,413 0 06 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
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 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 245 460 0 06 Jan 2021