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From Words to Actions: Unveiling the Theoretical Underpinnings of
  LLM-Driven Autonomous Systems

From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems

30 May 2024
Jianliang He
Siyu Chen
Fengzhuo Zhang
Zhuoran Yang
    LM&Ro
    LLMAG
ArXivPDFHTML

Papers citing "From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems"

11 / 11 papers shown
Title
PIPA: A Unified Evaluation Protocol for Diagnosing Interactive Planning Agents
PIPA: A Unified Evaluation Protocol for Diagnosing Interactive Planning Agents
Takyoung Kim
Janvijay Singh
Shuhaib Mehri
Emre Can Acikgoz
Sagnik Mukherjee
Nimet Beyza Bozdag
Sumuk Shashidhar
Gökhan Tür
Dilek Hakkani-Tür
LLMAG
18
0
0
02 May 2025
CoPS: Empowering LLM Agents with Provable Cross-Task Experience Sharing
CoPS: Empowering LLM Agents with Provable Cross-Task Experience Sharing
Chen Yang
Chenyang Zhao
Q. Gu
Dongruo Zhou
LRM
38
0
0
22 Oct 2024
Language Models, Agent Models, and World Models: The LAW for Machine
  Reasoning and Planning
Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and Planning
Zhiting Hu
Tianmin Shu
LLMAG
LM&Ro
LRM
99
34
0
08 Dec 2023
Video Language Planning
Video Language Planning
Yilun Du
Mengjiao Yang
Peter R. Florence
Fei Xia
Ayzaan Wahid
...
Pieter Abbeel
Josh Tenenbaum
L. Kaelbling
Andy Zeng
Jonathan Tompson
PINN
LM&Ro
84
83
0
16 Oct 2023
Multimodal Foundation Models: From Specialists to General-Purpose
  Assistants
Multimodal Foundation Models: From Specialists to General-Purpose Assistants
Chunyuan Li
Zhe Gan
Zhengyuan Yang
Jianwei Yang
Linjie Li
Lijuan Wang
Jianfeng Gao
MLLM
107
221
0
18 Sep 2023
The Learnability of In-Context Learning
The Learnability of In-Context Learning
Noam Wies
Yoav Levine
Amnon Shashua
108
89
0
14 Mar 2023
ProgPrompt: Generating Situated Robot Task Plans using Large Language
  Models
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models
Ishika Singh
Valts Blukis
Arsalan Mousavian
Ankit Goyal
Danfei Xu
Jonathan Tremblay
D. Fox
Jesse Thomason
Animesh Garg
LM&Ro
LLMAG
107
616
0
22 Sep 2022
Instruction Induction: From Few Examples to Natural Language Task
  Descriptions
Instruction Induction: From Few Examples to Natural Language Task Descriptions
Or Honovich
Uri Shaham
Samuel R. Bowman
Omer Levy
ELM
LRM
107
133
0
22 May 2022
Can Wikipedia Help Offline Reinforcement Learning?
Can Wikipedia Help Offline Reinforcement Learning?
Machel Reid
Yutaro Yamada
S. Gu
3DV
RALM
OffRL
124
95
0
28 Jan 2022
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
293
2,875
0
11 Feb 2021
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
275
1,296
0
17 Jan 2021
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