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CLARA: Classifying and Disambiguating User Commands for Reliable
  Interactive Robotic Agents

CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic Agents

17 June 2023
Jeongeun Park
Seungwon Lim
Joonhyung Lee
Sangbeom Park
Minsuk Chang
Youngjae Yu
Sungjoon Choi
    LM&Ro
ArXivPDFHTML

Papers citing "CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic Agents"

12 / 12 papers shown
Title
Adaptive Stress Testing Black-Box LLM Planners
Adaptive Stress Testing Black-Box LLM Planners
Neeloy Chakraborty
John Pohovey
Melkior Ornik
Katherine Driggs-Campbell
34
0
0
08 May 2025
GRACE: Generating Socially Appropriate Robot Actions Leveraging LLMs and Human Explanations
GRACE: Generating Socially Appropriate Robot Actions Leveraging LLMs and Human Explanations
Fethiye Irmak Dogan
Umut Ozyurt
Gizem Cinar
Hatice Gunes
LLMAG
45
4
0
25 Sep 2024
Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art
Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art
Neeloy Chakraborty
Melkior Ornik
Katherine Driggs-Campbell
LRM
57
9
0
25 Mar 2024
Foundational Models Defining a New Era in Vision: A Survey and Outlook
Foundational Models Defining a New Era in Vision: A Survey and Outlook
Muhammad Awais
Muzammal Naseer
Salman Khan
Rao Muhammad Anwer
Hisham Cholakkal
M. Shah
Ming Yang
Fahad Shahbaz Khan
VLM
40
119
0
25 Jul 2023
Robots That Ask For Help: Uncertainty Alignment for Large Language Model
  Planners
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners
Allen Z. Ren
Anushri Dixit
Alexandra Bodrova
Sumeet Singh
Stephen Tu
...
Jacob Varley
Zhenjia Xu
Dorsa Sadigh
Andy Zeng
Anirudha Majumdar
LM&Ro
64
220
0
04 Jul 2023
We're Afraid Language Models Aren't Modeling Ambiguity
We're Afraid Language Models Aren't Modeling Ambiguity
Alisa Liu
Zhaofeng Wu
Julian Michael
Alane Suhr
Peter West
Alexander Koller
Swabha Swayamdipta
Noah A. Smith
Yejin Choi
73
92
0
27 Apr 2023
Uncertainty Quantification with Pre-trained Language Models: A
  Large-Scale Empirical Analysis
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis
Yuxin Xiao
Paul Pu Liang
Umang Bhatt
Willie Neiswanger
Ruslan Salakhutdinov
Louis-Philippe Morency
175
86
0
10 Oct 2022
ReAct: Synergizing Reasoning and Acting in Language Models
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
275
2,549
0
06 Oct 2022
Open-vocabulary Object Detection via Vision and Language Knowledge
  Distillation
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
Xiuye Gu
Nayeon Lee
Weicheng Kuo
Huayu Chen
VLM
ObjD
225
899
0
28 Apr 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Yao Lu
Max Bartolo
Alastair Moore
Sebastian Riedel
Pontus Stenetorp
AILaw
LRM
281
1,124
0
18 Apr 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,156
0
06 Jun 2015
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
317
31,297
0
16 Jan 2013
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