Cover Image

Physically Interpretable AlphaEarth Foundation Model Embeddings Enable LLM-Based Land Surface Intelligence

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Rahman, Mashrekur
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mini-JEPA Foundation Model Fleet Enables Agentic Hydrologic Intelligence
by: Rahman, Mashrekur
Published: (2026)

Characterizing AlphaEarth Embedding Geometry for Agentic Environmental Reasoning
by: Rahman, Mashrekur, et al.
Published: (2026)

Utilizing Earth Foundation Models to Enhance the Simulation Performance of Hydrological Models with AlphaEarth Embeddings
by: Qu, Pengfei, et al.
Published: (2026)

Scalable Geospatial Data Generation Using AlphaEarth Foundations Model
by: Houriez, Luc, et al.
Published: (2025)

Harvesting AlphaEarth: Benchmarking the Geospatial Foundation Model for Agricultural Downstream Tasks
by: Ma, Yuchi, et al.
Published: (2025)

AlphaEarth Satellite Embeddings for Modelling Climate Sensitive Diseases Towards Global Health Resilience
by: Nazir, Usman, et al.
Published: (2026)

Beyond AlphaEarth: Toward Human-Centered Geospatial Foundation Models via POI-Guided Contrastive Learning
by: Liu, Junyuan, et al.
Published: (2025)

AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data
by: Brown, Christopher F., et al.
Published: (2025)

mashrekur/alphaearth_geometry_agent: AlphaEarth_Geometry_Agentic
by: Mashrekur Rahman
Published: (2026)

mashrekur/alphaearth_geometry_agent: AlphaEarth_Geometry_Agent
by: Mashrekur Rahman
Published: (2026)

Enhancing Foundation Models in Transaction Understanding with LLM-based Sentence Embeddings
by: Fan, Xiran, et al.
Published: (2025)

What on Earth is AlphaEarth? Hierarchical structure and functional interpretability for global land cover
by: Benavides-Martinez, Ivan Felipe, et al.
Published: (2026)

Mapping Tomato Cropping Systems in California Using AlphaEarth Geospatial Embeddings and Deep Learning Analysis
by: Narimani, Mohammadreza, et al.
Published: (2026)

CrossTrafficLLM: A Human-Centric Framework for Interpretable Traffic Intelligence via Large Language Model
by: Du, Zeming, et al.
Published: (2025)

Interchangeable Token Embeddings for Extendable Vocabulary and Alpha-Equivalence
by: Işık, İlker, et al.
Published: (2024)

Foundation Model's Embedded Representations May Detect Distribution Shift
by: Vargas, Max, et al.
Published: (2023)

BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques
by: Kabir, Muhammad Rafsan, et al.
Published: (2024)

Apple Intelligence Foundation Language Models
by: Gunter, Tom, et al.
Published: (2024)

Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free
by: Li, Ziyue, et al.
Published: (2024)

Variational Language Concepts for Interpreting Foundation Language Models
by: Wang, Hengyi, et al.
Published: (2024)

Exploring Embedding Priors in Prompt-Tuning for Improved Interpretability and Control
by: Sedov, Sergey, et al.
Published: (2024)

Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation
by: Wang, Yiming, et al.
Published: (2024)

Alpha Excel Benchmark
by: Noever, David, et al.
Published: (2025)

SDEC: Semantic Deep Embedded Clustering
by: Rahman, Mohammad Wali Ur, et al.
Published: (2025)

Interpretable Syntactic Representations Enable Hierarchical Word Vectors
by: Silwal, Biraj
Published: (2024)

SelfIE: Self-Interpretation of Large Language Model Embeddings
by: Chen, Haozhe, et al.
Published: (2024)

LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models
by: Zhu, Xi, et al.
Published: (2025)

Transcoders Find Interpretable LLM Feature Circuits
by: Dunefsky, Jacob, et al.
Published: (2024)

Interpretable LLM-based Table Question Answering
by: Nguyen, Giang, et al.
Published: (2024)

Align-then-Unlearn: Embedding Alignment for LLM Unlearning
by: Spohn, Philipp, et al.
Published: (2025)

A Novel Spinor-Based Embedding Model for Transformers
by: White, Rick
Published: (2024)

Inferring Height from Earth Embeddings: First insights using Google AlphaEarth
by: Hamoudzadeh, Alireza, et al.
Published: (2026)

Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models
by: Lu, Cong, et al.
Published: (2024)

Unified Interpretation of Smoothing Methods for Negative Sampling Loss Functions in Knowledge Graph Embedding
by: Feng, Xincan, et al.
Published: (2024)

When Earth Foundation Models Meet Diffusion: An Application to Land Surface Temperature Super-Resolution
by: Chen, Yiheng, et al.
Published: (2026)

GEM: Empowering LLM for both Embedding Generation and Language Understanding
by: Zhang, Caojin, et al.
Published: (2025)

Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation Models
by: Muhamed, Aashiq, et al.
Published: (2024)

EmbedLLM: Learning Compact Representations of Large Language Models
by: Zhuang, Richard, et al.
Published: (2024)

COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act
by: Guldimann, Philipp, et al.
Published: (2024)

LLM Enhancer: Merged Approach using Vector Embedding for Reducing Large Language Model Hallucinations with External Knowledge
by: Rayhan, Naheed, et al.
Published: (2025)