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Large Language Models as Commonsense Knowledge for Large-Scale Task
  Planning
v1v2 (latest)

Large Language Models as Commonsense Knowledge for Large-Scale Task Planning

Neural Information Processing Systems (NeurIPS), 2023
23 May 2023
Zirui Zhao
W. Lee
David Hsu
    LRMLLMAGLM&Ro
ArXiv (abs)PDFHTML

Papers citing "Large Language Models as Commonsense Knowledge for Large-Scale Task Planning"

14 / 114 papers shown
Title
A Survey of Optimization-based Task and Motion Planning: From Classical
  To Learning Approaches
A Survey of Optimization-based Task and Motion Planning: From Classical To Learning ApproachesIEEE/ASME transactions on mechatronics (TAM), 2024
Zhigen Zhao
Shuo Cheng
Yan Ding
Ziyi Zhou
Shiqi Zhang
Danfei Xu
Ye Zhao
459
46
0
03 Apr 2024
Just Say the Name: Online Continual Learning with Category Names Only
  via Data Generation
Just Say the Name: Online Continual Learning with Category Names Only via Data Generation
Minhyuk Seo
Diganta Misra
Seongwon Cho
Minjae Lee
Jonghyun Choi
CLL
332
12
0
16 Mar 2024
Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering
Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering
Armin Toroghi
Willis Guo
Mohammad Mahdi Torabi pour
Scott Sanner
LRM
313
14
0
03 Mar 2024
Efficient Causal Graph Discovery Using Large Language Models
Efficient Causal Graph Discovery Using Large Language Models
Thomas Jiralerspong
Xiaoyin Chen
Yash More
Vedant Shah
Yoshua Bengio
CML
315
42
0
02 Feb 2024
Generative agent-based modeling with actions grounded in physical,
  social, or digital space using Concordia
Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia
A. Vezhnevets
J. Agapiou
Avia Aharon
Ron Ziv
Jayd Matyas
Edgar A. Duénez-Guzmán
William A. Cunningham
Simon Osindero
Danny Karmon
Joel Z Leibo
LLMAGLM&RoAI4CE
313
83
0
06 Dec 2023
LLM-State: Open World State Representation for Long-horizon Task
  Planning with Large Language Model
LLM-State: Open World State Representation for Long-horizon Task Planning with Large Language Model
Siwei Chen
Anxing Xiao
David Hsu
LM&Ro
229
12
0
29 Nov 2023
Igniting Language Intelligence: The Hitchhiker's Guide From
  Chain-of-Thought Reasoning to Language Agents
Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents
Zhuosheng Zhang
Yao Yao
Aston Zhang
Xiangru Tang
Xinbei Ma
...
Yiming Wang
Mark B. Gerstein
Rui Wang
Gongshen Liu
Hai Zhao
LLMAGLM&RoLRM
317
90
0
20 Nov 2023
CoPAL: Corrective Planning of Robot Actions with Large Language Models
CoPAL: Corrective Planning of Robot Actions with Large Language ModelsIEEE International Conference on Robotics and Automation (ICRA), 2023
Frank Joublin
Antonello Ceravola
Pavel Smirnov
Felix Ocker
Joerg Deigmoeller
Anna Belardinelli
Chao Wang
Stephan Hasler
Daniel Tanneberg
Michael Gienger
LM&RoLLMAG
278
54
0
11 Oct 2023
LGMCTS: Language-Guided Monte-Carlo Tree Search for Executable Semantic
  Object Rearrangement
LGMCTS: Language-Guided Monte-Carlo Tree Search for Executable Semantic Object RearrangementIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Haonan Chang
D. K. Bukovšek
T. Kosir
Alex Lee
Blaz Mojskerc
Harish Udhaya Kumar
M. Omladič
Abdeslam Boularias
LM&Ro
300
15
0
27 Sep 2023
Reasoning about the Unseen for Efficient Outdoor Object Navigation
Reasoning about the Unseen for Efficient Outdoor Object Navigation
Quanting Xie
Tianyi Zhang
Kedi Xu
Matthew Johnson-Roberson
Yonatan Bisk
LRM
192
17
0
18 Sep 2023
Reinforcement Learning for Generative AI: A Survey
Reinforcement Learning for Generative AI: A Survey
Yuanjiang Cao
Quan.Z Sheng
Julian McAuley
Lina Yao
SyDa
451
22
0
28 Aug 2023
Language Models are Bounded Pragmatic Speakers: Understanding RLHF from
  a Bayesian Cognitive Modeling Perspective
Language Models are Bounded Pragmatic Speakers: Understanding RLHF from a Bayesian Cognitive Modeling Perspective
Khanh Nguyen
LRM
433
9
0
28 May 2023
Integrating Action Knowledge and LLMs for Task Planning and Situation
  Handling in Open Worlds
Integrating Action Knowledge and LLMs for Task Planning and Situation Handling in Open WorldsAutonomous Robots (Auton. Robots), 2023
Yan Ding
Xiaohan Zhang
S. Amiri
Nieqing Cao
Hao Yang
Andy Kaminski
Chad Esselink
Shiqi Zhang
LM&Ro
238
70
0
27 May 2023
Task and Motion Planning with Large Language Models for Object
  Rearrangement
Task and Motion Planning with Large Language Models for Object RearrangementIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Yan Ding
Xiaohan Zhang
Chris Paxton
Shiqi Zhang
LM&RoLRM
465
222
0
10 Mar 2023
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