Meteorology-Driven GPT4AP: A Multi-Task Forecasting LLM for Atmospheric Air Pollution in Data-Scarce Settings
Fuente:
arXiv
Saved in:
| Main Authors: | Dey, Prasanjit, Dev, Soumyabrata, Schoen-Phelan, Bianca |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
One-for-All: A Lightweight Stabilized and Parameter-Efficient Pre-trained LLM for Time Series Forecasting
by: Dey, Prasanjit, et al.
Published: (2026)
by: Dey, Prasanjit, et al.
Published: (2026)
NeuroDDAF: Neural Dynamic Diffusion-Advection Fields with Evidential Fusion for Air Quality Forecasting
by: Dey, Prasanjit, et al.
Published: (2026)
by: Dey, Prasanjit, et al.
Published: (2026)
TinyNina: A Resource-Efficient Edge-AI Framework for Sustainable Air Quality Monitoring via Intra-Image Satellite Super-Resolution
by: Dey, Prasanjit, et al.
Published: (2026)
by: Dey, Prasanjit, et al.
Published: (2026)
PollutionNet: A Vision Transformer Framework for Climatological Assessment of NO$_2$ and SO$_2$ Using Satellite-Ground Data Fusion
by: Dey, Prasanjit, et al.
Published: (2026)
by: Dey, Prasanjit, et al.
Published: (2026)
AirCast: Improving Air Pollution Forecasting Through Multi-Variable Data Alignment
by: Nedungadi, Vishal, et al.
Published: (2025)
by: Nedungadi, Vishal, et al.
Published: (2025)
Offline Meteorology-Pollution Coupling Global Air Pollution Forecasting Model with Bilinear Pooling
by: Fan, Xu, et al.
Published: (2025)
by: Fan, Xu, et al.
Published: (2025)
FuXi-Air: Urban Air Quality Forecasting Based on Emission-Meteorology-Pollutant multimodal Machine Learning
by: Geng, Zhixin, et al.
Published: (2025)
by: Geng, Zhixin, et al.
Published: (2025)
Air Pollution Forecasting in Bucharest
by: Şerban, Dragoş-Andrei, et al.
Published: (2025)
by: Şerban, Dragoş-Andrei, et al.
Published: (2025)
Cross-Learning from Scarce Data via Multi-Task Constrained Optimization
by: Agorio, Leopoldo, et al.
Published: (2025)
by: Agorio, Leopoldo, et al.
Published: (2025)
MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model
by: Fan, Xu, et al.
Published: (2025)
by: Fan, Xu, et al.
Published: (2025)
EmissionNet: Air Quality Pollution Forecasting for Agriculture
by: Saligram, Prady, et al.
Published: (2025)
by: Saligram, Prady, et al.
Published: (2025)
A Deep Learning Approach for Spatio-Temporal Forecasting of InSAR Ground Deformation in Eastern Ireland
by: Yao, Wendong, et al.
Published: (2025)
by: Yao, Wendong, et al.
Published: (2025)
A Causality-Aware Spatiotemporal Model for Multi-Region and Multi-Pollutant Air Quality Forecasting
by: Lu, Junxin, et al.
Published: (2025)
by: Lu, Junxin, et al.
Published: (2025)
Interpretable Air Pollution Forecasting by Physics-Guided Spatiotemporal Decoupling
by: Zhang, Zhiguo, et al.
Published: (2025)
by: Zhang, Zhiguo, et al.
Published: (2025)
Synergistic Neural Forecasting of Air Pollution with Stochastic Sampling
by: Abeysinghe, Yohan, et al.
Published: (2025)
by: Abeysinghe, Yohan, et al.
Published: (2025)
When Simpler Wins: Facebooks Prophet vs LSTM for Air Pollution Forecasting in Data-Constrained Northern Nigeria
by: Balogun, Habeeb, et al.
Published: (2025)
by: Balogun, Habeeb, et al.
Published: (2025)
Interpreting a Semantic Segmentation Model for Coastline Detection
by: O'Sullivan, Conor, et al.
Published: (2024)
by: O'Sullivan, Conor, et al.
Published: (2024)
A Transfer Framework for Enhancing Temporal Graph Learning in Data-Scarce Settings
by: Agarwal, Sidharth, et al.
Published: (2025)
by: Agarwal, Sidharth, et al.
Published: (2025)
Urban Air Pollution Forecasting: a Machine Learning Approach leveraging Satellite Observations and Meteorological Forecasts
by: Blanco, Giacomo, et al.
Published: (2024)
by: Blanco, Giacomo, et al.
Published: (2024)
A multimodal Transformer for InSAR-based ground deformation forecasting with cross-site generalization across Europe
by: Yao, Wendong, et al.
Published: (2025)
by: Yao, Wendong, et al.
Published: (2025)
Pre-trained Encoders for Global Child Development: Transfer Learning Enables Deployment in Data-Scarce Settings
by: Fahim, Md Muhtasim Munif, et al.
Published: (2026)
by: Fahim, Md Muhtasim Munif, et al.
Published: (2026)
Graph Convolutional Support Vector Regression for Robust Spatiotemporal Forecasting of Urban Air Pollution
by: Jahan, Nourin, et al.
Published: (2026)
by: Jahan, Nourin, et al.
Published: (2026)
Learning Shortest Paths When Data is Scarce
by: Matsypura, Dmytro, et al.
Published: (2026)
by: Matsypura, Dmytro, et al.
Published: (2026)
A Comparative Analysis of LLM Adaptation: SFT, LoRA, and ICL in Data-Scarce Scenarios
by: Bohnet, Bernd, et al.
Published: (2025)
by: Bohnet, Bernd, et al.
Published: (2025)
Learning Data-Driven Uncertainty Set Partitions for Robust and Adaptive Energy Forecasting with Missing Data
by: Stratigakos, Akylas, et al.
Published: (2025)
by: Stratigakos, Akylas, et al.
Published: (2025)
The Effectiveness of Edge Detection Evaluation Metrics for Automated Coastline Detection
by: O'Sullivan, Conor, et al.
Published: (2024)
by: O'Sullivan, Conor, et al.
Published: (2024)
Navigating the Smog: A Cooperative Multi-Agent RL for Accurate Air Pollution Mapping through Data Assimilation
by: Mokhtari, Ichrak, et al.
Published: (2024)
by: Mokhtari, Ichrak, et al.
Published: (2024)
Federated Language Models Under Bandwidth Budgets: Distillation Rates and Conformal Coverage
by: Dubey, Prasanjit, et al.
Published: (2026)
by: Dubey, Prasanjit, et al.
Published: (2026)
Matching Rates and Optimal Allocation for Federated Probe-Logit Distillation under Heterogeneous Bandwidth Budgets
by: Dubey, Prasanjit, et al.
Published: (2026)
by: Dubey, Prasanjit, et al.
Published: (2026)
Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data
by: Wang, Zhenzhong, et al.
Published: (2024)
by: Wang, Zhenzhong, et al.
Published: (2024)
TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge
by: Kwon, Young D., et al.
Published: (2023)
by: Kwon, Young D., et al.
Published: (2023)
A Data-Driven Supervised Machine Learning Approach to Estimating Global Ambient Air Pollution Concentrations With Associated Prediction Intervals
by: Berrisford, Liam J, et al.
Published: (2024)
by: Berrisford, Liam J, et al.
Published: (2024)
Multi-spatial Multi-temporal Air Quality Forecasting with Integrated Monitoring and Reanalysis Data
by: Hu, Yuxiao, et al.
Published: (2023)
by: Hu, Yuxiao, et al.
Published: (2023)
Automated Coastline Extraction Using Edge Detection Algorithms
by: O'Sullivan, Conor, et al.
Published: (2024)
by: O'Sullivan, Conor, et al.
Published: (2024)
Spatiotemporal Graph Convolutional Recurrent Neural Network Model for Citywide Air Pollution Forecasting
by: Le, Van-Duc, et al.
Published: (2023)
by: Le, Van-Duc, et al.
Published: (2023)
Knowledge-Data Dually Driven Paradigm for Accurate Landslide Susceptibility Prediction under Data-Scarce Conditions Using Geomorphic Priors and Tabular Foundation Model
by: Yang, Yuting, et al.
Published: (2026)
by: Yang, Yuting, et al.
Published: (2026)
Uncertainty-Driven Anomaly Detection for Psychotic Relapse Using Smartwatches: Forecasting and Multi-Task Learning Fusion
by: Tsalkitzis, Nikolaos, et al.
Published: (2026)
by: Tsalkitzis, Nikolaos, et al.
Published: (2026)
Bayesian Optimisation for Active Monitoring of Air Pollution
by: Hellan, Sigrid Passano, et al.
Published: (2022)
by: Hellan, Sigrid Passano, et al.
Published: (2022)
Air Quality Forecasting Using Machine Learning: A Global perspective with Relevance to Low-Resource Settings
by: Christian, Mulomba Mukendi, et al.
Published: (2024)
by: Christian, Mulomba Mukendi, et al.
Published: (2024)
Knowledge from Large-Scale Protein Contact Prediction Models Can Be Transferred to the Data-Scarce RNA Contact Prediction Task
by: Jian, Yiren, et al.
Published: (2023)
by: Jian, Yiren, et al.
Published: (2023)
Similar Items
-
One-for-All: A Lightweight Stabilized and Parameter-Efficient Pre-trained LLM for Time Series Forecasting
by: Dey, Prasanjit, et al.
Published: (2026) -
NeuroDDAF: Neural Dynamic Diffusion-Advection Fields with Evidential Fusion for Air Quality Forecasting
by: Dey, Prasanjit, et al.
Published: (2026) -
TinyNina: A Resource-Efficient Edge-AI Framework for Sustainable Air Quality Monitoring via Intra-Image Satellite Super-Resolution
by: Dey, Prasanjit, et al.
Published: (2026) -
PollutionNet: A Vision Transformer Framework for Climatological Assessment of NO$_2$ and SO$_2$ Using Satellite-Ground Data Fusion
by: Dey, Prasanjit, et al.
Published: (2026) -
AirCast: Improving Air Pollution Forecasting Through Multi-Variable Data Alignment
by: Nedungadi, Vishal, et al.
Published: (2025)