Cover Image

EXPRESS: An LLM-Generated Explainable Property Valuation System with Neighbor Imputation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Du, Wei-Wei, Wang, Yung-Chien, Peng, Wen-Chih
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mixture Experts with Test-Time Self-Supervised Aggregation for Tabular Imbalanced Regression
by: Wang, Yung-Chien, et al.
Published: (2025)

A Survey on Self-Supervised Learning for Non-Sequential Tabular Data
by: Wang, Wei-Yao, et al.
Published: (2024)

LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters
by: Chang, Ching, et al.
Published: (2023)

Efficient Banzhaf-Based Data Valuation for $k$-Nearest Neighbors Classification
by: Zhang, Guangyi, et al.
Published: (2026)

Minimax Optimality in Contextual Dynamic Pricing with General Valuation Models
by: Gong, Xueping, et al.
Published: (2024)

Deep Learning for Multivariate Time Series Imputation: A Survey
by: Wang, Jun, et al.
Published: (2024)

Detecting and Ranking Causal Anomalies in End-to-End Complex System
by: Chang, Ching, et al.
Published: (2023)

Evaluating Neighbor Explainability for Graph Neural Networks
by: Llorente, Oscar, et al.
Published: (2023)

Neighbor Overlay-Induced Graph Attention Network
by: Wei, Tiqiao, et al.
Published: (2024)

Beyond Models! Explainable Data Valuation and Metric Adaption for Recommendation
by: Jia, Renqi, et al.
Published: (2025)

Shapley-Based Data Valuation with Mutual Information: A Key to Modified K-Nearest Neighbors
by: Vahedifar, Mohammad Ali, et al.
Published: (2023)

Task-oriented Time Series Imputation Evaluation via Generalized Representers
by: Wang, Zhixian, et al.
Published: (2024)

LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation
by: He, Xinrui, et al.
Published: (2024)

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)

Clustering-Oriented Generative Attribute Graph Imputation
by: Chen, Mulin, et al.
Published: (2025)

Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model Sparsification
by: Li, Yiwei, et al.
Published: (2023)

STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation
by: Wang, Yiming, et al.
Published: (2025)

NeighborDiv: Training-free Zero-shot Generalist Graph Anomaly Detection via Neighbor Diversity
by: Wei, Kaifeng, et al.
Published: (2026)

SPINEX: Similarity-based Predictions with Explainable Neighbors Exploration for Anomaly and Outlier Detection
by: Naser, MZ, et al.
Published: (2024)

SPINEX-Clustering: Similarity-based Predictions with Explainable Neighbors Exploration for Clustering Problems
by: Naser, MZ, et al.
Published: (2024)

Precedence-Constrained Winter Value for Effective Graph Data Valuation
by: Chi, Hongliang, et al.
Published: (2024)

Deep Generative Imputation Model for Missing Not At Random Data
by: Chen, Jialei, et al.
Published: (2023)

Generative Conditional Missing Imputation Networks
by: Sun, George, et al.
Published: (2026)

Convex Dataset Valuation for Post-Training
by: Zeng, Siqi, et al.
Published: (2026)

Deep Incomplete Multi-View Clustering via Hierarchical Imputation and Alignment
by: Du, Yiming, et al.
Published: (2026)

SPINEX_ Symbolic Regression: Similarity-based Symbolic Regression with Explainable Neighbors Exploration
by: Naser, MZ, et al.
Published: (2024)

TSI-Bench: Benchmarking Time Series Imputation
by: Du, Wenjie, et al.
Published: (2024)

A General Method for Proving Networks Universal Approximation Property
by: Wang, Wei
Published: (2025)

Generative Data Imputation for Sparse Learner Performance Data Using Generative Adversarial Imputation Networks
by: Zhang, Liang, et al.
Published: (2025)

Exploiting the Prior of Generative Time Series Imputation
by: Miao, YuYang, et al.
Published: (2025)

General Causal Imputation via Synthetic Interventions
by: Jiralerspong, Marco, et al.
Published: (2024)

Data Distribution Valuation
by: Xu, Xinyi, et al.
Published: (2024)

FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction
by: Li, Ziwei, et al.
Published: (2024)

Beyond Random Missingness: Clinically Rethinking for Healthcare Time Series Imputation
by: Qian, Linglong, et al.
Published: (2024)

Graph-Based Physics-Guided Urban PM2.5 Air Quality Imputation with Constrained Monitoring Data
by: Du, Shangjie, et al.
Published: (2025)

ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation
by: Nie, Tong, et al.
Published: (2023)

Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion
by: Wang, Kuang-Da, et al.
Published: (2024)

Losing is for Cherishing: Data Valuation Based on Machine Unlearning and Shapley Value
by: Ma, Le, et al.
Published: (2025)

Co-Neighbor Encoding Schema: A Light-cost Structure Encoding Method for Dynamic Link Prediction
by: Cheng, Ke, et al.
Published: (2024)

Learnable Prompt as Pseudo-Imputation: Rethinking the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction
by: Liao, Weibin, et al.
Published: (2024)