Imagen de Portada

DP-GPT4MTS: Dual-Prompt Large Language Model for Textual-Numerical Time Series Forecasting

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Liu, Chanjuan, Wang, Shengzhi, Zhu, Enqiang
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

PA-RNet: Perturbation-Aware Residual Network for Robust Multimodal Time Series Forecasting
por: Zhu, Enqiang, et al.
Publicado: (2025)

MAP4TS: A Multi-Aspect Prompting Framework for Time-Series Forecasting with Large Language Models
por: Lee, Suchan, et al.
Publicado: (2025)

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

AutoTimes: Autoregressive Time Series Forecasters via Large Language Models
por: Liu, Yong, et al.
Publicado: (2024)

Fusing Large Language Models with Temporal Transformers for Time Series Forecasting
por: Su, Chen, et al.
Publicado: (2025)

ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data
por: Wang, Chengsen, et al.
Publicado: (2024)

DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
por: Hong, Junyuan, et al.
Publicado: (2023)

Retrieval-augmented Large Language Models for Financial Time Series Forecasting
por: Xiao, Mengxi, et al.
Publicado: (2025)

Efficient Tuning and Inference for Large Language Models on Textual Graphs
por: Zhu, Yun, et al.
Publicado: (2024)

Prompt Engineering Large Language Models' Forecasting Capabilities
por: Schoenegger, Philipp, et al.
Publicado: (2025)

Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting
por: Liu, Fuqiang, et al.
Publicado: (2024)

Test-Time Alignment for Large Language Models via Textual Model Predictive Control
por: Wang, Kuang-Da, et al.
Publicado: (2025)

Probabilistic Textual Time Series Depression Detection
por: Schmidt, Fabian, et al.
Publicado: (2025)

Forecasting Clinical Risk from Textual Time Series: Structuring Narratives for Temporal AI in Healthcare
por: Noroozizadeh, Shahriar, et al.
Publicado: (2025)

GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond
por: Zheng, Shen, et al.
Publicado: (2023)

Enhancing Large Language Models Against Inductive Instructions with Dual-critique Prompting
por: Wang, Rui, et al.
Publicado: (2023)

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

XForecast: Evaluating Natural Language Explanations for Time Series Forecasting
por: Aksu, Taha, et al.
Publicado: (2024)

Quite Good, but Not Enough: Nationality Bias in Large Language Models -- A Case Study of ChatGPT
por: Zhu, Shucheng, et al.
Publicado: (2024)

Can Large Language Models Automatically Jailbreak GPT-4V?
por: Wu, Yuanwei, et al.
Publicado: (2024)

CourseGPT-zh: an Educational Large Language Model Based on Knowledge Distillation Incorporating Prompt Optimization
por: Qu, Zheyan, et al.
Publicado: (2024)

STELLA: Guiding Large Language Models for Time Series Forecasting with Semantic Abstractions
por: Fan, Junjie, et al.
Publicado: (2025)

TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting
por: Cao, Defu, et al.
Publicado: (2023)

Temporally Phenotyping GLP-1RA Case Reports with Large Language Models: A Textual Time Series Corpus and Risk Modeling
por: Kumar, Sayantan, et al.
Publicado: (2026)

LLM-PS: Empowering Large Language Models for Time Series Forecasting with Temporal Patterns and Semantics
por: Tang, Jialiang, et al.
Publicado: (2025)

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing
por: Zhu, Xuanbing, et al.
Publicado: (2024)

Empowering Large Language Models for Textual Data Augmentation
por: Li, Yichuan, et al.
Publicado: (2024)

Efficient Prompting Methods for Large Language Models: A Survey
por: Chang, Kaiyan, et al.
Publicado: (2024)

Steering Large Language Models between Code Execution and Textual Reasoning
por: Chen, Yongchao, et al.
Publicado: (2024)

AceGPT, Localizing Large Language Models in Arabic
por: Huang, Huang, et al.
Publicado: (2023)

GPT-4 as Evaluator: Evaluating Large Language Models on Pest Management in Agriculture
por: Yang, Shanglong, et al.
Publicado: (2024)

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

Forecasting Time Series with LLMs via Patch-Based Prompting and Decomposition
por: Bumb, Mayank, et al.
Publicado: (2025)

AD-GPT: Large Language Models in Alzheimer's Disease
por: Liu, Ziyu, et al.
Publicado: (2025)

MetaRuleGPT: Recursive Numerical Reasoning of Language Models Trained with Simple Rules
por: Chen, Kejie, et al.
Publicado: (2024)

Adam's Law: Textual Frequency Law on Large Language Models
por: Lu, Hongyuan Adam, et al.
Publicado: (2026)

Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities
por: Tang, Hua, et al.
Publicado: (2024)

Textual Aesthetics in Large Language Models
por: Jiang, Lingjie, et al.
Publicado: (2024)

PromptExp: Multi-granularity Prompt Explanation of Large Language Models
por: Dong, Ximing, et al.
Publicado: (2024)

Adapting Large Language Models for Time Series Modeling via a Novel Parameter-efficient Adaptation Method
por: Zhang, Juyuan, et al.
Publicado: (2025)