Cover Image

Target Concept Tuning Improves Extreme Weather Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ren, Shijie, Gu, Xinyue, Peng, Ziheng, Zhang, Haifan, Niu, Peisong, Wu, Bo, Wang, Xiting, Sun, Liang, Wen, Jirong
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Integrating Weather Foundation Model and Satellite to Enable Fine-Grained Solar Irradiance Forecasting
by: Ma, Ziqing, et al.
Published: (2026)

ProtoTS: Learning Hierarchical Prototypes for Explainable Time Series Forecasting
by: Peng, Ziheng, et al.
Published: (2025)

Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model
by: Niu, Peisong, et al.
Published: (2025)

Enhancing AI-Based Tropical Cyclone Track and Intensity Forecasting via Systematic Bias Correction
by: Niu, Peisong, et al.
Published: (2026)

Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting
by: Luo, Yingtao, et al.
Published: (2025)

Skillful Kilometer-Scale Regional Weather Forecasting via Global and Regional Coupling
by: Chen, Weiqi, et al.
Published: (2026)

ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast
by: Xu, Wanghan, et al.
Published: (2024)

UniExtreme: A Universal Foundation Model for Extreme Weather Forecasting
by: Ni, Hang, et al.
Published: (2025)

Extreme Region Policy Distillation
by: Chen, Changyu, et al.
Published: (2026)

TAD: Temporal-Aware Trajectory Self-Distillation for Fast and Accurate Diffusion LLM
by: Zhou, Haoyang, et al.
Published: (2026)

A Hybrid Autoencoder-Transformer Model for Robust Day-Ahead Electricity Price Forecasting under Extreme Conditions
by: Tang, Boyan, et al.
Published: (2025)

Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting
by: Liu, Peiyuan, et al.
Published: (2024)

TuckA: Hierarchical Compact Tensor Experts for Efficient Fine-Tuning
by: Lei, Qifeng, et al.
Published: (2025)

To Call or Not to Call: Diagnosing Intrinsic Over-Calling Bias in LLM Agents
by: Shi, Wei, et al.
Published: (2026)

WaveTuner: Comprehensive Wavelet Subband Tuning for Time Series Forecasting
by: Wang, Yubo, et al.
Published: (2025)

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis
by: Zou, Rui, et al.
Published: (2025)

RealBench: Benchmarking Data-Driven Numerical Weather Forecasting Under Operational Conditions and Extreme Event Challenges
by: Li, Ruize, et al.
Published: (2026)

SLIM: a Scalable Light-weight Root Cause Analysis for Imbalanced Data in Microservice
by: Ren, Rui, et al.
Published: (2024)

Selective Fine-Tuning for Targeted and Robust Concept Unlearning
by: Mansi, et al.
Published: (2026)

HVR-Met: A Hypothesis-Verification-Replaning Agentic System for Extreme Weather Diagnosis
by: Tang, Shuo, et al.
Published: (2026)

K-means Derived Unsupervised Feature Selection using Improved ADMM
by: Sun, Ziheng, et al.
Published: (2024)

Example-Based Concept Analysis Framework for Deep Weather Forecast Models
by: Kim, Soyeon, et al.
Published: (2025)

Back To The Future: A Hybrid Transformer-XGBoost Model for Action-oriented Future-proofing Nowcasting
by: Sun, Ziheng
Published: (2024)

NID-SLAM: Neural Implicit Representation-based RGB-D SLAM in dynamic environments
by: Xu, Ziheng, et al.
Published: (2024)

Improving Medium Range Severe Weather Prediction through Transformer Post-processing of AI Weather Forecasts
by: Hua, Zhanxiang, et al.
Published: (2025)

EWE: An Agentic Framework for Extreme Weather Analysis
by: Jiang, Zhe, et al.
Published: (2025)

Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction
by: Peng, Cheng, et al.
Published: (2023)

Improved Forecasts of Global Extreme Marine Heatwaves Through a Physics-guided Data-driven Approach
by: Shu, Ruiqi, et al.
Published: (2024)

Attention as Robust Representation for Time Series Forecasting
by: Niu, PeiSong, et al.
Published: (2024)

CNCast: Leveraging 3D Swin Transformer and DiT for Enhanced Regional Weather Forecasting
by: Liang, Hongli, et al.
Published: (2025)

APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning
by: Wu, Hong-Wei, et al.
Published: (2024)

Improving Large Language Models with Concept-Aware Fine-Tuning
by: Chen, Michael K., et al.
Published: (2025)

Evaluating Readability and Faithfulness of Concept-based Explanations
by: Li, Meng, et al.
Published: (2024)

Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering
by: Zhao, Haiyan, et al.
Published: (2025)

Interpretable Physics-Informed Load Forecasting for U.S. Grid Resilience: SHAP-Guided Ensemble Validation in Hybrid Deep Learning Under Extreme Weather
by: Abubakkar, Md, et al.
Published: (2026)

RadarQA: Multi-modal Quality Analysis of Weather Radar Forecasts
by: He, Xuming, et al.
Published: (2025)

Long-Term Prediction Accuracy Improvement of Data-Driven Medium-Range Global Weather Forecast
by: Hu, Yifan, et al.
Published: (2024)

Two Heads Are Better Than One: Averaging along Fine-Tuning to Improve Targeted Transferability
by: Zeng, Hui, et al.
Published: (2024)

PuYun-LDM: A Latent Diffusion Model for High-Resolution Ensemble Weather Forecasts
by: Wu, Lianjun, et al.
Published: (2026)

Evolving Beyond Snapshots: Harmonizing Structure and Sequence via Entity State Tuning for Temporal Knowledge Graph Forecasting
by: Li, Siyuan, et al.
Published: (2026)