Cover Image

A Prompt Refinement-based Large Language Model for Metro Passenger Flow Forecasting under Delay Conditions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Ping, He, Yuxin, Wang, Hao, Chen, Jingjing, Luo, Qin
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DelayPTC-LLM: Metro Passenger Travel Choice Prediction under Train Delays with Large Language Models
by: Chen, Chen, et al.
Published: (2024)

Low-Rank Robust Subspace Tensor Clustering for Metro Passenger Flow Modeling
by: Hu, Jiuyun, et al.
Published: (2024)

Predicting Subway Passenger Flows under Incident Situation with Causality
by: Huang, Xiannan, et al.
Published: (2024)

ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting
by: Wang, Haichen, et al.
Published: (2025)

Embracing Large Language Models in Traffic Flow Forecasting
by: Zhao, Yusheng, et al.
Published: (2024)

Leveraging Pre-trained Large Language Models with Refined Prompting for Online Task and Motion Planning
by: Guo, Huihui, et al.
Published: (2025)

Airport Passenger Flow Forecasting via Deformable Temporal-Spectral Transformer Approach
by: Du, Wenbo, et al.
Published: (2025)

KnowGPT: Knowledge Graph based Prompting for Large Language Models
by: Zhang, Qinggang, et al.
Published: (2023)

Task as Context Prompting for Accurate Medical Symptom Coding Using Large Language Models
by: He, Chengyang, et al.
Published: (2025)

Prompt Mining for Language-based Human Mobility Forecasting
by: Xue, Hao, et al.
Published: (2024)

DEFM: Delay E mbedding based Forecast Machine for Time Series Forecasting by Spatiotemporal Information Transformation
by: Peng, Hao, et al.
Published: (2020)

Review of Passenger Flow Modelling Approaches Based on a Bibliometric Analysis
by: Hecht, Jonathan, et al.
Published: (2025)

HSKBenchmark: Modeling and Benchmarking Chinese Second Language Acquisition in Large Language Models through Curriculum Tuning
by: Yang, Qihao, et al.
Published: (2025)

Hypothesis Testing Prompting Improves Deductive Reasoning in Large Language Models
by: Li, Yitian, et al.
Published: (2024)

Predicting the Skies: A Novel Model for Flight-Level Passenger Traffic Forecasting
by: Ehsani, Sina, et al.
Published: (2024)

CPR: Mitigating Large Language Model Hallucinations with Curative Prompt Refinement
by: Shim, Jung-Woo, et al.
Published: (2025)

Multi-stage Prompt Refinement for Mitigating Hallucinations in Large Language Models
by: Shim, Jung-Woo, et al.
Published: (2025)

An Empirical Study on Prompt Compression for Large Language Models
by: Zhang, Zheng, et al.
Published: (2025)

Using Large Language Models for OntoClean-based Ontology Refinement
by: Zhao, Yihang, et al.
Published: (2024)

Exploring Multimodal Prompt for Visualization Authoring with Large Language Models
by: Wen, Zhen, et al.
Published: (2025)

Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models
by: Cui, Yingqian, et al.
Published: (2025)

GNN-based Passenger Request Prediction
by: Makhdomi, Aqsa Ashraf, et al.
Published: (2023)

Prompt Codebooks: Discrete Compositional Optimization for Language Model Instruction Refinement
by: Nath, Jyotirmoy, et al.
Published: (2026)

ViSRA: A Video-based Spatial Reasoning Agent for Multi-modal Large Language Models
by: Mou, Tingshu, et al.
Published: (2026)

Congestion Forecast for Trains with Railroad-Graph-based Semi-Supervised Learning using Sparse Passenger Reports
by: Anno, Soto, et al.
Published: (2024)

Iterative Translation Refinement with Large Language Models
by: Chen, Pinzhen, et al.
Published: (2023)

Towards Generalist Prompting for Large Language Models by Mental Models
by: Guan, Haoxiang, et al.
Published: (2024)

A Large Language Model Guided Topic Refinement Mechanism for Short Text Modeling
by: Chang, Shuyu, et al.
Published: (2024)

Integrating Chemistry Knowledge in Large Language Models via Prompt Engineering
by: Liu, Hongxuan, et al.
Published: (2024)

Research on Metro Transportation Flow Prediction Based on the STL-GRU Combined Model
by: Zhou, Zijie, et al.
Published: (2025)

MM-STFlowNet: A Transportation Hub-Oriented Multi-Mode Passenger Flow Prediction Method via Spatial-Temporal Dynamic Graph Modeling
by: Zhang, Ronghui, et al.
Published: (2025)

Are Large Language Models Good Prompt Optimizers?
by: Ma, Ruotian, et al.
Published: (2024)

LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting
by: Liu, Haoxin, et al.
Published: (2024)

On Prompt-Driven Safeguarding for Large Language Models
by: Zheng, Chujie, et al.
Published: (2024)

PromptBench: A Unified Library for Evaluation of Large Language Models
by: Zhu, Kaijie, et al.
Published: (2023)

PromptBridge: Cross-Model Prompt Transfer for Large Language Models
by: Wang, Yaxuan, et al.
Published: (2025)

Prompt-based Depth Pruning of Large Language Models
by: Wee, Juyun, et al.
Published: (2025)

Reverse Thinking Enhances Missing Information Detection in Large Language Models
by: Liu, Yuxin, et al.
Published: (2025)

An Engorgio Prompt Makes Large Language Model Babble on
by: Dong, Jianshuo, et al.
Published: (2024)

Soft Prompting for Unlearning in Large Language Models
by: Bhaila, Karuna, et al.
Published: (2024)