TPLLM: A Traffic Prediction Framework Based on Pretrained Large Language
Models

v1v2 (latest)

TPLLM: A Traffic Prediction Framework Based on Pretrained Large Language Models

4 March 2024

ArXiv (abs)PDF HTML

Papers citing "TPLLM: A Traffic Prediction Framework Based on Pretrained Large Language Models"

6 / 6 papers shown

Title
Independent Mobility GPT (IDM-GPT): A Self-Supervised Multi-Agent Large Language Model Framework for Customized Traffic Mobility Analysis Using Machine Learning Models Fengze Yang Xiaoyue Cathy Liu Lingjiu Lu Bingzhang Wang Chenxi 69 1 0 25 Feb 2025
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series Chenxi Sun Hongyan Li Yaliang Li linda Qiao AI4TS 80 126 0 16 Aug 2023
GLM: General Language Model Pretraining with Autoregressive Blank Infilling Zhengxiao Du Yujie Qian Xiao Liu Ming Ding J. Qiu Zhilin Yang Jie Tang BDL AI4CE 137 1,545 0 18 Mar 2021
Pretrained Transformers as Universal Computation Engines Kevin Lu Aditya Grover Pieter Abbeel Igor Mordatch 54 221 0 09 Mar 2021
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.0K 23,354 0 03 Jun 2014
Spectral Networks and Locally Connected Networks on Graphs Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun GNN 220 4,882 0 21 Dec 2013

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.