Cover Image

WLFM: A Well-Logs Foundation Model for Multi-Task and Cross-Well Geological Interpretation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Qi, Zhenyu, Yu, Qing, Wang, Jichen, Zhao, Yun-Bo, Li, Zerui, Lv, Wenjun
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection
by: Koeshidayatullah, Ardiansyah, et al.
Published: (2024)

Beyond Accuracy: Are Time Series Foundation Models Well-Calibrated?
by: Adler, Coen, et al.
Published: (2025)

Federated Generative Learning with Foundation Models
by: Zhang, Jie, et al.
Published: (2023)

VAO: Validation-Aligned Optimization for Cross-Task Generative Auto-Bidding
by: Lv, Yiqin, et al.
Published: (2025)

Omni-DNA: A Unified Genomic Foundation Model for Cross-Modal and Multi-Task Learning
by: Li, Zehui, et al.
Published: (2025)

Does Your Wildfire Prediction Model Actually Work, or Just Score Well?
by: Xu, Yangshuang, et al.
Published: (2026)

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating
by: Widener, Michael, et al.
Published: (2025)

Revitalizing Black-Box Interpretability: Actionable Interpretability for LLMs via Proxy Models
by: Liu, Junhao, et al.
Published: (2025)

A Survey on Mechanistic Interpretability for Multi-Modal Foundation Models
by: Lin, Zihao, et al.
Published: (2025)

How Well Do Multimodal Models Reason on ECG Signals?
by: Xu, Maxwell A., et al.
Published: (2026)

How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks
by: Ramachandran, Rahul, et al.
Published: (2025)

Decoupled Action Expert: Confining Task Knowledge to the Conditioning Pathway
by: Zhou, Jian, et al.
Published: (2025)

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
by: Qu, Yun, et al.
Published: (2025)

Towards Interpretable Foundation Models of Robot Behavior: A Task Specific Policy Generation Approach
by: Sheidlower, Isaac, et al.
Published: (2024)

Mathematical Foundation of Interpretable Equivariant Surrogate Models
by: Colombini, Jacopo Joy, et al.
Published: (2025)

TAP: Two-Stage Adaptive Personalization of Multi-Task and Multi-Modal Foundation Models in Federated Learning
by: Lee, Seohyun, et al.
Published: (2025)

A Wireless Foundation Model for Multi-Task Prediction
by: Sheng, Yucheng, et al.
Published: (2025)

CEHR-XGPT: A Scalable Multi-Task Foundation Model for Electronic Health Records
by: Pang, Chao, et al.
Published: (2025)

XQC: Well-conditioned Optimization Accelerates Deep Reinforcement Learning
by: Palenicek, Daniel, et al.
Published: (2025)

Efficient Multi-Task Reinforcement Learning with Cross-Task Policy Guidance
by: He, Jinmin, et al.
Published: (2025)

Multi-Task Learning with Feature-Similarity Laplacian Graphs for Predicting Alzheimer's Disease Progression
by: Xu, Zixiang, et al.
Published: (2025)

Foundations of Interpretable Models
by: Barbiero, Pietro, et al.
Published: (2025)

On the Emergence of Cross-Task Linearity in the Pretraining-Finetuning Paradigm
by: Zhou, Zhanpeng, et al.
Published: (2024)

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction
by: Yu, Xi, et al.
Published: (2025)

TF-MCL: Time-frequency Fusion and Multi-domain Cross-Loss for Self-supervised Depression Detection
by: Zhao, Li-Xuan, et al.
Published: (2025)

MLAD: A Unified Model for Multi-system Log Anomaly Detection
by: Zang, Runqiang, et al.
Published: (2024)

Revisiting Convolution Architecture in the Realm of DNA Foundation Models
by: Bo, Yu, et al.
Published: (2025)

Controllable Edge-Type-Specific Interpretation in Multi-Relational Graph Neural Networks for Drug Response Prediction
by: Li, Xiaodi, et al.
Published: (2024)

LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection
by: Guo, Hongcheng, et al.
Published: (2024)

Transferable and Forecastable User Targeting Foundation Model
by: Dou, Bin, et al.
Published: (2024)

Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions
by: Tsai, Chen Feng, et al.
Published: (2023)

Advances and Open Challenges in Federated Foundation Models
by: Ren, Chao, et al.
Published: (2024)

ContraLog: Log File Anomaly Detection with Contrastive Learning and Masked Language Modeling
by: Dietz, Simon, et al.
Published: (2026)

Bringing Multi-Modal Multi-Task Federated Foundation Models to Education Domain: Prospects and Challenges
by: Borazjani, Kasra, et al.
Published: (2025)

Synergizing Foundation Models and Federated Learning: A Survey
by: Li, Shenghui, et al.
Published: (2024)

ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation
by: Liang, Jian, et al.
Published: (2025)

FoMEMO: Towards Foundation Models for Expensive Multi-objective Optimization
by: Yao, Yiming, et al.
Published: (2025)

Multimodal Foundation Model for Cross-Modal Retrieval and Activity Recognition Tasks
by: Matsuishi, Koki, et al.
Published: (2025)

CycloneMAE: A Scalable Multi-Task Learning Model for Global Tropical Cyclone Probabilistic Forecasting
by: Hang, Renlong, et al.
Published: (2026)

Efficient UAV Swarm-Based Multi-Task Federated Learning with Dynamic Task Knowledge Sharing
by: Yang, Yubo, et al.
Published: (2025)