Learning to Plan with Natural Language

Learning to Plan with Natural Language

20 April 2023

Dongyan Zhao

Papers citing "Learning to Plan with Natural Language"

7 / 7 papers shown

Title
Predictive Minds: LLMs As Atypical Active Inference Agents Jan Kulveit Clem von Stengel Roman Leventov LLMAG KELM LRM 39 1 0 16 Nov 2023
Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs Albert Q. Jiang Sean Welleck Jin Peng Zhou Wenda Li Jiacheng Liu M. Jamnik Timothée Lacroix Yuhuai Wu Guillaume Lample AIMat 60 157 0 21 Oct 2022
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 233 2,470 0 06 Oct 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 293 4,048 0 24 May 2022
Instruction Induction: From Few Examples to Natural Language Task Descriptions Or Honovich Uri Shaham Samuel R. Bowman Omer Levy ELM LRM 110 135 0 22 May 2022
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,311 0 17 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,913 0 31 Dec 2020