ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2310.04942
  4. Cited By
Large Language Models for Spatial Trajectory Patterns Mining

Large Language Models for Spatial Trajectory Patterns Mining

7 October 2023
Zhengwu Zhang
Hossein Amiri
Zhenke Liu
Andreas Züfle
Liang Zhao
ArXiv (abs)PDFHTML

Papers citing "Large Language Models for Spatial Trajectory Patterns Mining"

8 / 8 papers shown
Title
Urban Computing in the Era of Large Language Models
Urban Computing in the Era of Large Language Models
Zhonghang Li
Lianghao Xia
Xubin Ren
J. Tang
Tianyi Chen
Yong-mei Xu
Chenyu Huang
201
0
0
02 Apr 2025
The Patterns of Life Human Mobility Simulation
The Patterns of Life Human Mobility Simulation
Hossein Amiri
Will Kohn
Shiyang Ruan
Joon-Seok Kim
Hamdi Kavak
Andrew Crooks
Dieter Pfoser
Carola Wenk
Andreas Zufle
21
7
0
30 Sep 2024
UVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain Generation
UVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain Generation
Yan Lin
Jilin Hu
Shengnan Guo
Bin Yang
Christian S. Jensen
Youfang Lin
Huaiyu Wan
85
0
0
11 Feb 2024
Where Would I Go Next? Large Language Models as Human Mobility
  Predictors
Where Would I Go Next? Large Language Models as Human Mobility Predictors
Xinglei Wang
Meng Fang
Zichao Zeng
Tao Cheng
51
59
0
29 Aug 2023
Domain Specialization as the Key to Make Large Language Models
  Disruptive: A Comprehensive Survey
Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey
Chen Ling
Xujiang Zhao
Jiaying Lu
Chengyuan Deng
Can Zheng
...
Chris White
Quanquan Gu
Jian Pei
Carl Yang
Liang Zhao
ALM
117
138
0
30 May 2023
MetaICL: Learning to Learn In Context
MetaICL: Learning to Learn In Context
Sewon Min
M. Lewis
Luke Zettlemoyer
Hannaneh Hajishirzi
LRM
219
490
0
29 Oct 2021
Finetuned Language Models Are Zero-Shot Learners
Finetuned Language Models Are Zero-Shot Learners
Jason W. Wei
Maarten Bosma
Vincent Zhao
Kelvin Guu
Adams Wei Yu
Brian Lester
Nan Du
Andrew M. Dai
Quoc V. Le
ALMUQCV
214
3,778
0
03 Sep 2021
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MAVLM
366
1,489
0
18 Mar 2020
1