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Large Language Models as General Pattern Machines

Large Language Models as General Pattern Machines

10 July 2023
Suvir Mirchandani
F. Xia
Peter R. Florence
Brian Ichter
Danny Driess
Montse Gonzalez Arenas
Kanishka Rao
Dorsa Sadigh
Andy Zeng
    LLMAG
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Papers citing "Large Language Models as General Pattern Machines"

50 / 154 papers shown
Title
Meta-Optimization and Program Search using Language Models for Task and Motion Planning
Meta-Optimization and Program Search using Language Models for Task and Motion Planning
Denis Shcherba
Eckart Cobo-Briesewitz
Cornelius V. Braun
Marc Toussaint
LM&Ro
LRM
26
0
0
06 May 2025
Recursive Decomposition with Dependencies for Generic Divide-and-Conquer Reasoning
Recursive Decomposition with Dependencies for Generic Divide-and-Conquer Reasoning
Sergio Hernández-Gutiérrez
Minttu Alakuijala
Alexander Nikitin
Pekka Marttinen
LRM
41
2
0
05 May 2025
SAS-Prompt: Large Language Models as Numerical Optimizers for Robot Self-Improvement
SAS-Prompt: Large Language Models as Numerical Optimizers for Robot Self-Improvement
H. B. Amor
L. Graesser
Atil Iscen
David B. DÁmbrosio
Saminda Abeyruwan
Alex Bewley
Yifan Zhou
Kamalesh Kalirathinam
Swaroop Mishra
Pannag R. Sanketi
LLMAG
LM&Ro
LRM
94
0
0
29 Apr 2025
From Text to Time? Rethinking the Effectiveness of the Large Language Model for Time Series Forecasting
From Text to Time? Rethinking the Effectiveness of the Large Language Model for Time Series Forecasting
Xinyu Zhang
Shanshan Feng
Xutao Li
AI4TS
21
0
0
09 Apr 2025
RLDBF: Enhancing LLMs Via Reinforcement Learning With DataBase FeedBack
RLDBF: Enhancing LLMs Via Reinforcement Learning With DataBase FeedBack
Weichen Dai
Zijie Dai
Zhijie Huang
Yixuan Pan
Xinhe Li
Xi Li
Yi Zhou
Ji Qi
Wu Jiang
16
0
0
28 Mar 2025
Dynamic Path Navigation for Motion Agents with LLM Reasoning
Yubo Zhao
Qi Wu
Yifan Wang
Yu-Wing Tai
Chi-Keung Tang
LRM
LLMAG
74
0
0
10 Mar 2025
Action Tokenizer Matters in In-Context Imitation Learning
An Vuong
M. Vu
Dong An
Ian Reid
53
0
0
03 Mar 2025
Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models
Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models
Yukang Yang
Declan Campbell
Kaixuan Huang
Mengdi Wang
Jonathan D. Cohen
Taylor W. Webb
LRM
54
2
0
27 Feb 2025
VeriPlan: Integrating Formal Verification and LLMs into End-User Planning
VeriPlan: Integrating Formal Verification and LLMs into End-User Planning
Christine P. Lee
David J. Porfirio
Xinyu Jessica Wang
Kevin Zhao
Bilge Mutlu
80
1
0
25 Feb 2025
Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment
Kartik Nagpal
Dayi Dong
Jean-Baptiste Bouvier
Negar Mehr
LLMAG
36
1
0
24 Feb 2025
Patterns Over Principles: The Fragility of Inductive Reasoning in LLMs under Noisy Observations
Patterns Over Principles: The Fragility of Inductive Reasoning in LLMs under Noisy Observations
Chunyang Li
Weiqi Wang
Tianshi Zheng
Y. Song
LRM
41
2
0
22 Feb 2025
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
Geon Lee
Wenchao Yu
Kijung Shin
Wei Cheng
Haifeng Chen
AI4TS
LLMAG
49
3
0
17 Feb 2025
The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding
The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding
Mo Yu
Lemao Liu
J. Wu
Tsz Ting Chung
Shunchi Zhang
JiangNan Li
Dit-Yan Yeung
Jie Zhou
77
1
0
13 Feb 2025
Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes
Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes
Mohammad Derakhshan
Paolo Ceravolo
Fatemeh Mohammadi
43
0
0
10 Feb 2025
Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning
Bidipta Sarkar
Warren Xia
C. Karen Liu
Dorsa Sadigh
LLMAG
40
1
0
09 Feb 2025
TOKON: TOKenization-Optimized Normalization for time series analysis with a large language model
Janghoon Yang
AI4TS
55
0
0
08 Feb 2025
VaiBot: Shuttle Between the Instructions and Parameters of Large Language Models
VaiBot: Shuttle Between the Instructions and Parameters of Large Language Models
Wangtao Sun
Haotian Xu
Huanxuan Liao
Xuanqing Yu
Zhongtao Jiang
Shizhu He
Jun Zhao
Kang Liu
53
0
0
04 Feb 2025
LAMS: LLM-Driven Automatic Mode Switching for Assistive Teleoperation
LAMS: LLM-Driven Automatic Mode Switching for Assistive Teleoperation
Yiran Tao
Jehan Yang
Dan Ding
Zackory Erickson
36
0
0
15 Jan 2025
OneLLM: One Framework to Align All Modalities with Language
OneLLM: One Framework to Align All Modalities with Language
Jiaming Han
Kaixiong Gong
Yiyuan Zhang
Jiaqi Wang
Kaipeng Zhang
D. Lin
Yu Qiao
Peng Gao
Xiangyu Yue
MLLM
96
102
0
10 Jan 2025
TalkWithMachines: Enhancing Human-Robot Interaction for Interpretable
  Industrial Robotics Through Large/Vision Language Models
TalkWithMachines: Enhancing Human-Robot Interaction for Interpretable Industrial Robotics Through Large/Vision Language Models
Ammar N. Abbas
Csaba Beleznai
LM&Ro
70
2
0
19 Dec 2024
Energy Price Modelling: A Comparative Evaluation of four Generations of
  Forecasting Methods
Energy Price Modelling: A Comparative Evaluation of four Generations of Forecasting Methods
Alexandru-Victor Andrei
Georg Velev
Filip-Mihai Toma
Daniel Traian Pele
Stefan Lessmann
AI4TS
34
1
0
05 Nov 2024
TI-PREGO: Chain of Thought and In-Context Learning for Online Mistake
  Detection in PRocedural EGOcentric Videos
TI-PREGO: Chain of Thought and In-Context Learning for Online Mistake Detection in PRocedural EGOcentric Videos
Leonardo Plini
Luca Scofano
Edoardo De Matteis
Guido Maria DÁmely di Melendugno
Alessandro Flaborea
Andrea Sanchietti
G. Farinella
Fabio Galasso
Antonino Furnari
EgoV
LRM
35
1
0
04 Nov 2024
Thinking Forward and Backward: Effective Backward Planning with Large
  Language Models
Thinking Forward and Backward: Effective Backward Planning with Large Language Models
Allen Z. Ren
Brian Ichter
Anirudha Majumdar
LLMAG
LRM
23
0
0
04 Nov 2024
Teaching Embodied Reinforcement Learning Agents: Informativeness and
  Diversity of Language Use
Teaching Embodied Reinforcement Learning Agents: Informativeness and Diversity of Language Use
Jiajun Xi
Yinong He
Jianing Yang
Yinpei Dai
Joyce Chai
LM&Ro
22
2
0
31 Oct 2024
Matchmaker: Self-Improving Large Language Model Programs for Schema
  Matching
Matchmaker: Self-Improving Large Language Model Programs for Schema Matching
Nabeel Seedat
M. Schaar
26
2
0
31 Oct 2024
Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks
Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks
Michael T. Matthews
Michael Beukman
Chris Xiaoxuan Lu
Jakob Foerster
OffRL
AI4CE
28
2
0
30 Oct 2024
Fourier Head: Helping Large Language Models Learn Complex Probability Distributions
Fourier Head: Helping Large Language Models Learn Complex Probability Distributions
Nate Gillman
Daksh Aggarwal
Michael Freeman
Saurabh Singh
Chen Sun
AI4TS
31
3
0
29 Oct 2024
VLMimic: Vision Language Models are Visual Imitation Learner for
  Fine-grained Actions
VLMimic: Vision Language Models are Visual Imitation Learner for Fine-grained Actions
Guanyan Chen
M. Wang
Te Cui
Yao Mu
Haoyang Lu
...
Mengxiao Hu
Haizhou Li
Y. Li
Yi Yang
Yufeng Yue
VLM
26
3
0
28 Oct 2024
How much do contextualized representations encode long-range context?
How much do contextualized representations encode long-range context?
Simeng Sun
Cheng-Ping Hsieh
39
0
0
16 Oct 2024
In-Context Learning Enables Robot Action Prediction in LLMs
In-Context Learning Enables Robot Action Prediction in LLMs
Yida Yin
Zekai Wang
Yuvan Sharma
Dantong Niu
Trevor Darrell
Roei Herzig
LM&Ro
42
1
0
16 Oct 2024
Balancing Continuous Pre-Training and Instruction Fine-Tuning:
  Optimizing Instruction-Following in LLMs
Balancing Continuous Pre-Training and Instruction Fine-Tuning: Optimizing Instruction-Following in LLMs
Ishan Jindal
Chandana Badrinath
Pranjal Bharti
Lakkidi Vinay
Sachin Dev Sharma
CLL
ALM
21
2
0
14 Oct 2024
Kub: Enabling Elastic HPC Workloads on Containerized Environments
Kub: Enabling Elastic HPC Workloads on Containerized Environments
Daniel Medeiros
Jacob Wahlgren
Gabin Schieffer
Ivy Peng
20
3
0
14 Oct 2024
Mars: Situated Inductive Reasoning in an Open-World Environment
Mars: Situated Inductive Reasoning in an Open-World Environment
Xiaojuan Tang
Jiaqi Li
Yitao Liang
Song-chun Zhu
Muhan Zhang
Zilong Zheng
LM&Ro
LRM
LLMAG
13
1
0
10 Oct 2024
System 2 Reasoning via Generality and Adaptation
System 2 Reasoning via Generality and Adaptation
Sejin Kim
Sundong Kim
LRM
AI4CE
60
0
0
10 Oct 2024
Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series
  OOD Generalization
Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalization
Chengtao Jian
Kai Yang
Yang Jiao
AI4TS
16
3
0
09 Oct 2024
Tackling the Abstraction and Reasoning Corpus with Vision Transformers:
  the Importance of 2D Representation, Positions, and Objects
Tackling the Abstraction and Reasoning Corpus with Vision Transformers: the Importance of 2D Representation, Positions, and Objects
Wenhao Li
Yudong Xu
Scott Sanner
Elias Boutros Khalil
ViT
16
2
0
08 Oct 2024
EVOLvE: Evaluating and Optimizing LLMs For Exploration
EVOLvE: Evaluating and Optimizing LLMs For Exploration
Allen Nie
Yi Su
Bo Chang
Jonathan N. Lee
Ed H. Chi
Quoc V. Le
Minmin Chen
11
5
0
08 Oct 2024
Compression via Pre-trained Transformers: A Study on Byte-Level
  Multimodal Data
Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Data
David Heurtel-Depeiges
Anian Ruoss
Joel Veness
Tim Genewein
12
1
0
07 Oct 2024
Grounding Large Language Models In Embodied Environment With Imperfect
  World Models
Grounding Large Language Models In Embodied Environment With Imperfect World Models
Haolan Liu
Jishen Zhao
LLMAG
SyDa
AI4CE
23
0
0
03 Oct 2024
Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models
Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models
Hui-Po Wang
Mario Fritz
18
3
0
26 Sep 2024
Blox-Net: Generative Design-for-Robot-Assembly Using VLM Supervision,
  Physics Simulation, and a Robot with Reset
Blox-Net: Generative Design-for-Robot-Assembly Using VLM Supervision, Physics Simulation, and a Robot with Reset
Andrew Goldberg
Kavish Kondap
Tianshuang Qiu
Zehan Ma
Letian Fu
Justin Kerr
Huang Huang
Kaiyuan Chen
Kuan Fang
Ken Goldberg
24
4
0
25 Sep 2024
OneEncoder: A Lightweight Framework for Progressive Alignment of
  Modalities
OneEncoder: A Lightweight Framework for Progressive Alignment of Modalities
Bilal Faye
Hanane Azzag
M. Lebbah
ObjD
21
0
0
17 Sep 2024
Enhancing Analogical Reasoning in the Abstraction and Reasoning Corpus
  via Model-Based RL
Enhancing Analogical Reasoning in the Abstraction and Reasoning Corpus via Model-Based RL
Jihwan Lee
Woochang Sim
Sejin Kim
Sundong Kim
OffRL
19
1
0
27 Aug 2024
Relational decomposition for program synthesis
Relational decomposition for program synthesis
Céline Hocquette
Andrew Cropper
26
4
0
22 Aug 2024
LLM-PCGC: Large Language Model-based Point Cloud Geometry Compression
LLM-PCGC: Large Language Model-based Point Cloud Geometry Compression
Yuqi Ye
Wei Gao
34
0
0
16 Aug 2024
Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities
  of LLMs
Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs
Kewei Cheng
Jingfeng Yang
Haoming Jiang
Zhengyang Wang
Binxuan Huang
...
Zheng Li
Yifan Gao
Xian Li
Bing Yin
Yizhou Sun
ELM
LRM
22
1
0
31 Jul 2024
ARCLE: The Abstraction and Reasoning Corpus Learning Environment for
  Reinforcement Learning
ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning
Hosung Lee
Sejin Kim
Seungpil Lee
Sanha Hwang
Jihwan Lee
Byung-Jun Lee
Sundong Kim
LRM
32
8
0
30 Jul 2024
R+X: Retrieval and Execution from Everyday Human Videos
R+X: Retrieval and Execution from Everyday Human Videos
Georgios Papagiannis
Norman Di Palo
Pietro Vitiello
Edward Johns
45
15
0
17 Jul 2024
Transforming Agency. On the mode of existence of Large Language Models
Transforming Agency. On the mode of existence of Large Language Models
Xabier E. Barandiaran
Lola S. Almendros
LLMAG
LM&Ro
29
4
0
15 Jul 2024
By My Eyes: Grounding Multimodal Large Language Models with Sensor Data
  via Visual Prompting
By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual Prompting
Hyungjun Yoon
Biniyam Aschalew Tolera
Taesik Gong
Kimin Lee
Sung-Ju Lee
22
6
0
15 Jul 2024
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