Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity

9 February 2024

Papers citing "Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity"

9 / 9 papers shown

Title
AI Awareness X. Li Haoyuan Shi Rongwu Xu Wei Xu 54 0 0 25 Apr 2025
LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks Subbarao Kambhampati Karthik Valmeekam L. Guan Mudit Verma Kaya Stechly Siddhant Bhambri Lucas Saldyt Anil Murthy LRM 78 107 0 02 Feb 2024
Prompting Large Language Models With the Socratic Method Edward Y. Chang LRM ELM 45 46 0 17 Feb 2023
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis Yuxin Xiao Paul Pu Liang Umang Bhatt W. Neiswanger Ruslan Salakhutdinov Louis-Philippe Morency 162 86 0 10 Oct 2022
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models Ishika Singh Valts Blukis Arsalan Mousavian Ankit Goyal Danfei Xu Jonathan Tremblay D. Fox Jesse Thomason Animesh Garg LM&Ro LLMAG 107 616 0 22 Sep 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
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 238 1,898 0 31 Dec 2020
Calibration of Pre-trained Transformers Shrey Desai Greg Durrett UQLM 231 288 0 17 Mar 2020