Evaluating Uncertainty-based Failure Detection for Closed-Loop LLM Planners

Evaluating Uncertainty-based Failure Detection for Closed-Loop LLM Planners

1 June 2024

Papers citing "Evaluating Uncertainty-based Failure Detection for Closed-Loop LLM Planners"

9 / 9 papers shown

Title
Identifying Uncertainty in Self-Adaptive Robotics with Large Language Models Hassan Sartaj Jalil Boudjadar Mirgita Frasheri Shaukat Ali Peter Gorm Larsen 27 0 0 29 Apr 2025
Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey Xiaoou Liu Tiejin Chen Longchao Da Chacha Chen Zhen Lin Hua Wei HILM 59 3 0 20 Mar 2025
RACER: Rich Language-Guided Failure Recovery Policies for Imitation Learning Yinpei Dai Jayjun Lee Nima Fazeli Joyce Chai 31 10 0 23 Sep 2024
DexGANGrasp: Dexterous Generative Adversarial Grasping Synthesis for Task-Oriented Manipulation Qian Feng David S. Martinez Lema M. Malmir Hang Li Jianxiang Feng Zhaopeng Chen Alois C. Knoll 69 4 0 24 Jul 2024
Errors are Useful Prompts: Instruction Guided Task Programming with Verifier-Assisted Iterative Prompting Marta Skreta Naruki Yoshikawa Sebastian Arellano-Rubach Zhi Ji L. B. Kristensen Kourosh Darvish Alán Aspuru-Guzik Florian Shkurti Animesh Garg 65 56 0 24 Mar 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
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
Bayesian Active Learning for Sim-to-Real Robotic Perception Jianxiang Feng Jongseok Lee M. Durner Rudolph Triebel 42 13 0 23 Sep 2021
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes Jongseo Lee Jianxiang Feng Matthias Humt M. Müller Rudolph Triebel UQCV 38 21 0 20 Sep 2021