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LLM-Assist: Enhancing Closed-Loop Planning with Language-Based Reasoning

LLM-Assist: Enhancing Closed-Loop Planning with Language-Based Reasoning

30 December 2023
S. P. Sharan
Francesco Pittaluga
G. VijayKumarB.
Manmohan Chandraker
    LRM
ArXiv (abs)PDFHTML

Papers citing "LLM-Assist: Enhancing Closed-Loop Planning with Language-Based Reasoning"

35 / 35 papers shown
Title
Unlock the Power of Unlabeled Data in Language Driving Model
Unlock the Power of Unlabeled Data in Language Driving Model
Chaoqun Wang
Jie Yang
Xiaobin Hong
Ruimao Zhang
157
0
0
13 Mar 2025
Autoware.Flex: Human-Instructed Dynamically Reconfigurable Autonomous Driving Systems
Autoware.Flex: Human-Instructed Dynamically Reconfigurable Autonomous Driving Systems
Ziwei Song
Mingsong Lv
Tianchi Ren
Chun Jason Xue
Jen-Ming Wu
Nan Guan
154
0
0
17 Feb 2025
Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey
Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey
Kumar Manas
Adrian Paschke
120
1
0
13 Feb 2025
LoRD: Adapting Differentiable Driving Policies to Distribution Shifts
LoRD: Adapting Differentiable Driving Policies to Distribution Shifts
Christopher P. Diehl
Peter Karkus
Sushant Veer
Marco Pavone
Torsten Bertram
447
1
0
13 Oct 2024
SPINE: Online Semantic Planning for Missions with Incomplete Natural Language Specifications in Unstructured Environments
SPINE: Online Semantic Planning for Missions with Incomplete Natural Language Specifications in Unstructured Environments
Zachary Ravichandran
Varun Murali
Mariliza Tzes
George J. Pappas
Vijay Kumar
LRM
120
10
0
03 Oct 2024
Planning with Adaptive World Models for Autonomous Driving
Planning with Adaptive World Models for Autonomous Driving
Arun Balajee Vasudevan
Neehar Peri
Jeff Schneider
Deva Ramanan
154
5
0
15 Jun 2024
MBAPPE: MCTS-Built-Around Prediction for Planning Explicitly
MBAPPE: MCTS-Built-Around Prediction for Planning Explicitly
Raphael Chekroun
Thomas Gilles
Marin Toromanoff
Sascha Hornauer
Fabien Moutarde
75
9
0
15 Sep 2023
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic
  Control
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
Anthony Brohan
Noah Brown
Justice Carbajal
Yevgen Chebotar
Xi Chen
...
Ted Xiao
Peng Xu
Sichun Xu
Tianhe Yu
Brianna Zitkovich
LM&RoLRM
201
1,291
0
28 Jul 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models
Llama 2: Open Foundation and Fine-Tuned Chat Models
Hugo Touvron
Louis Martin
Kevin R. Stone
Peter Albert
Amjad Almahairi
...
Sharan Narang
Aurelien Rodriguez
Robert Stojnic
Sergey Edunov
Thomas Scialom
AI4MHALM
419
12,091
0
18 Jul 2023
Parting with Misconceptions about Learning-based Vehicle Motion Planning
Parting with Misconceptions about Learning-based Vehicle Motion Planning
D. Dauner
Marcel Hallgarten
Andreas Geiger
Kashyap Chitta
76
125
0
13 Jun 2023
Voyager: An Open-Ended Embodied Agent with Large Language Models
Voyager: An Open-Ended Embodied Agent with Large Language Models
Guanzhi Wang
Yuqi Xie
Yunfan Jiang
Ajay Mandlekar
Chaowei Xiao
Yuke Zhu
Linxi Fan
Anima Anandkumar
LM&RoSyDa
162
841
0
25 May 2023
Self-contradictory Hallucinations of Large Language Models: Evaluation,
  Detection and Mitigation
Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation
Niels Mündler
Jingxuan He
Slobodan Jenko
Martin Vechev
HILM
68
118
0
25 May 2023
Sources of Hallucination by Large Language Models on Inference Tasks
Sources of Hallucination by Large Language Models on Inference Tasks
Nick McKenna
Tianyi Li
Liang Cheng
Mohammad Javad Hosseini
Mark Johnson
Mark Steedman
LRMHILM
91
201
0
23 May 2023
Improving Language Models via Plug-and-Play Retrieval Feedback
Improving Language Models via Plug-and-Play Retrieval Feedback
Wenhao Yu
Zhihan Zhang
Zhenwen Liang
Meng Jiang
Ashish Sabharwal
KELMLRM
104
78
0
23 May 2023
GPT-4 Technical Report
GPT-4 Technical Report
OpenAI OpenAI
OpenAI Josh Achiam
Steven Adler
Sandhini Agarwal
Lama Ahmad
...
Shengjia Zhao
Tianhao Zheng
Juntang Zhuang
William Zhuk
Barret Zoph
LLMAGMLLM
1.5K
14,761
0
15 Mar 2023
GameFormer: Game-theoretic Modeling and Learning of Transformer-based
  Interactive Prediction and Planning for Autonomous Driving
GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving
Zhiyu Huang
Haochen Liu
Chen Lv
OffRL
119
106
0
10 Mar 2023
LLaMA: Open and Efficient Foundation Language Models
LLaMA: Open and Efficient Foundation Language Models
Hugo Touvron
Thibaut Lavril
Gautier Izacard
Xavier Martinet
Marie-Anne Lachaux
...
Faisal Azhar
Aurelien Rodriguez
Armand Joulin
Edouard Grave
Guillaume Lample
ALMPILM
1.5K
13,490
0
27 Feb 2023
Tree-structured Policy Planning with Learned Behavior Models
Tree-structured Policy Planning with Learned Behavior Models
Yuxiao Chen
Peter Karkus
Boris Ivanovic
Xinshuo Weng
Marco Pavone
76
26
0
27 Jan 2023
Planning-oriented Autonomous Driving
Planning-oriented Autonomous Driving
Yi Hu
Jiazhi Yang
Li Chen
Keyu Li
Chonghao Sima
...
Xiaosong Jia
Qiang Liu
Jifeng Dai
Yu Qiao
Hongyang Li
96
659
0
20 Dec 2022
LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large
  Language Models
LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models
Chan Hee Song
Jiaman Wu
Clay Washington
Brian M Sadler
Wei-Lun Chao
Yu-Chuan Su
LLMAGLM&Ro
150
422
0
08 Dec 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
LLMAGReLMLRM
455
2,982
0
06 Oct 2022
ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal
  Feature Learning
ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning
Shengchao Hu
Li Chen
Peng Wu
Hongyang Li
Junchi Yan
Dacheng Tao
100
253
0
15 Jul 2022
Inner Monologue: Embodied Reasoning through Planning with Language
  Models
Inner Monologue: Embodied Reasoning through Planning with Language Models
Wenlong Huang
F. Xia
Ted Xiao
Harris Chan
Jacky Liang
...
Tomas Jackson
Linda Luu
Sergey Levine
Karol Hausman
Brian Ichter
LLMAGLM&RoLRM
137
922
0
12 Jul 2022
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Michael Ahn
Anthony Brohan
Noah Brown
Yevgen Chebotar
Omar Cortes
...
Ted Xiao
Peng Xu
Sichun Xu
Mengyuan Yan
Andy Zeng
LM&Ro
198
1,987
0
04 Apr 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLMALM
900
13,228
0
04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
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&RoLRMAI4CEReLM
859
9,714
0
28 Jan 2022
NuPlan: A closed-loop ML-based planning benchmark for autonomous
  vehicles
NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles
Holger Caesar
Juraj Kabzan
Kok Seang Tan
Whye Kit Fong
Eric M. Wolff
A. Lang
L. Fletcher
Oscar Beijbom
Sammy Omari
80
300
0
22 Jun 2021
Contingencies from Observations: Tractable Contingency Planning with
  Learned Behavior Models
Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models
Nicholas Rhinehart
Jeff He
Charles Packer
Matthew A. Wright
R. McAllister
Joseph E. Gonzalez
Sergey Levine
172
33
0
21 Apr 2021
End-to-end Interpretable Neural Motion Planner
End-to-end Interpretable Neural Motion Planner
Wenyuan Zeng
Wenjie Luo
Simon Suo
Abbas Sadat
Binh Yang
Sergio Casas
R. Urtasun
3DV
90
409
0
17 Jan 2021
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving
Alexander Cui
Sergio Casas
Abbas Sadat
Renjie Liao
R. Urtasun
176
132
0
16 Jan 2021
Perceive, Attend, and Drive: Learning Spatial Attention for Safe
  Self-Driving
Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving
Bob Wei
Mengye Ren
Wenyuan Zeng
Ming Liang
Binh Yang
R. Urtasun
3DPC
100
43
0
02 Nov 2020
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable
  Semantic Representations
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations
Abbas Sadat
Sergio Casas
Mengye Ren
Xinyu Wu
Pranaab Dhawan
R. Urtasun
3DV
125
197
0
13 Aug 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
908
42,520
0
28 May 2020
Baidu Apollo EM Motion Planner
Baidu Apollo EM Motion Planner
Haoyang Fan
Fan Zhu
Changchun Liu
Liangliang Zhang
Li Zhuang
Dong Li
Weicheng Zhu
Jiangtao Hu
Hongye Li
Qi Kong
61
305
0
20 Jul 2018
DeepDriving: Learning Affordance for Direct Perception in Autonomous
  Driving
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
Chenyi Chen
Ari Seff
A. Kornhauser
Jianxiong Xiao
104
1,766
0
01 May 2015
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