On the Performance of LLMs for Real Estate Appraisal
Fuente:
arXiv
Guardado en:
| Autores principales: | Geerts, Margot, Reusens, Manon, Baesens, Bart, Broucke, Seppe vanden, De Weerdt, Jochen |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Native Design Bias: Studying the Impact of English Nativeness on Language Model Performance
por: Reusens, Manon, et al.
Publicado: (2024)
por: Reusens, Manon, et al.
Publicado: (2024)
Are Economists Always More Introverted? Analyzing Consistency in Persona-Assigned LLMs
por: Reusens, Manon, et al.
Publicado: (2025)
por: Reusens, Manon, et al.
Publicado: (2025)
Would a Large Language Model Pay Extra for a View? Inferring Willingness to Pay from Subjective Choices
por: Reusens, Manon, et al.
Publicado: (2026)
por: Reusens, Manon, et al.
Publicado: (2026)
Domain Adaptation of LLMs for Process Data
por: Oyamada, Rafael Seidi, et al.
Publicado: (2025)
por: Oyamada, Rafael Seidi, et al.
Publicado: (2025)
Minimal and Mechanistic Conditions for Behavioral Self-Awareness in LLMs
por: Bozoukov, Matthew, et al.
Publicado: (2025)
por: Bozoukov, Matthew, et al.
Publicado: (2025)
Structured Extraction of Real World Medical Knowledge using LLMs for Summarization and Search
por: Kim, Edward, et al.
Publicado: (2024)
por: Kim, Edward, et al.
Publicado: (2024)
Meta-Transfer Learning Powered Temporal Graph Networks for Cross-City Real Estate Appraisal
por: Zhang, Weijia, et al.
Publicado: (2024)
por: Zhang, Weijia, et al.
Publicado: (2024)
Bridging Language Gaps: Enhancing Few-Shot Language Adaptation
por: Borchert, Philipp, et al.
Publicado: (2025)
por: Borchert, Philipp, et al.
Publicado: (2025)
Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learning
por: Borchert, Philipp, et al.
Publicado: (2024)
por: Borchert, Philipp, et al.
Publicado: (2024)
Evaluating LLMs on Real-World Forecasting Against Expert Forecasters
por: Lu, Janna
Publicado: (2025)
por: Lu, Janna
Publicado: (2025)
Scaling Laws for Predicting Downstream Performance in LLMs
por: Chen, Yangyi, et al.
Publicado: (2024)
por: Chen, Yangyi, et al.
Publicado: (2024)
ModelingAgent: Bridging LLMs and Mathematical Modeling for Real-World Challenges
por: Qian, Cheng, et al.
Publicado: (2025)
por: Qian, Cheng, et al.
Publicado: (2025)
Beyond Confidence: Rethinking Self-Assessments for Performance Prediction in LLMs
por: Bhattacharyya, Sree, et al.
Publicado: (2026)
por: Bhattacharyya, Sree, et al.
Publicado: (2026)
SEAL: Systematic Error Analysis for Value ALignment
por: Revel, Manon, et al.
Publicado: (2024)
por: Revel, Manon, et al.
Publicado: (2024)
Unveiling Downstream Performance Scaling of LLMs: A Clustering-Based Perspective
por: Xu, Chengyin, et al.
Publicado: (2025)
por: Xu, Chengyin, et al.
Publicado: (2025)
Product of Experts with LLMs: Boosting Performance on ARC Is a Matter of Perspective
por: Franzen, Daniel, et al.
Publicado: (2025)
por: Franzen, Daniel, et al.
Publicado: (2025)
Bridging the Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs
por: Kumar, Somnath, et al.
Publicado: (2024)
por: Kumar, Somnath, et al.
Publicado: (2024)
WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia
por: Hou, Yufang, et al.
Publicado: (2024)
por: Hou, Yufang, et al.
Publicado: (2024)
From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic Data
por: Xiong, Zheyang, et al.
Publicado: (2024)
por: Xiong, Zheyang, et al.
Publicado: (2024)
Time Series Foundation Models for Process Model Forecasting
por: Yu, Yongbo, et al.
Publicado: (2025)
por: Yu, Yongbo, et al.
Publicado: (2025)
Generating Realistic Adversarial Examples for Business Processes using Variational Autoencoders
por: Stevens, Alexander, et al.
Publicado: (2024)
por: Stevens, Alexander, et al.
Publicado: (2024)
Self-Distillation as a Performance Recovery Mechanism for LLMs: Counteracting Compression and Catastrophic Forgetting
por: Liu, Chi, et al.
Publicado: (2026)
por: Liu, Chi, et al.
Publicado: (2026)
SCOPE: Sequential Causal Optimization of Process Interventions
por: De Moor, Jakob, et al.
Publicado: (2025)
por: De Moor, Jakob, et al.
Publicado: (2025)
Foundation Models for Credit Risk Prediction: A Game Changer?
por: Baesens, Bart, et al.
Publicado: (2026)
por: Baesens, Bart, et al.
Publicado: (2026)
MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools
por: Guo, Zikang, et al.
Publicado: (2025)
por: Guo, Zikang, et al.
Publicado: (2025)
Are LLMs Ready for Real-World Materials Discovery?
por: Miret, Santiago, et al.
Publicado: (2024)
por: Miret, Santiago, et al.
Publicado: (2024)
Wings: Learning Multimodal LLMs without Text-only Forgetting
por: Zhang, Yi-Kai, et al.
Publicado: (2024)
por: Zhang, Yi-Kai, et al.
Publicado: (2024)
Matryoshka Pilot: Learning to Drive Black-Box LLMs with LLMs
por: Li, Changhao, et al.
Publicado: (2024)
por: Li, Changhao, et al.
Publicado: (2024)
Can LLMs Help Uncover Insights about LLMs? A Large-Scale, Evolving Literature Analysis of Frontier LLMs
por: Park, Jungsoo, et al.
Publicado: (2025)
por: Park, Jungsoo, et al.
Publicado: (2025)
MateInfoUB: A Real-World Benchmark for Testing LLMs in Competitive, Multilingual, and Multimodal Educational Tasks
por: Marius, Dumitran Adrian, et al.
Publicado: (2025)
por: Marius, Dumitran Adrian, et al.
Publicado: (2025)
A Strategic Coordination Framework of Small LLMs Matches Large LLMs in Data Synthesis
por: Gao, Xin, et al.
Publicado: (2025)
por: Gao, Xin, et al.
Publicado: (2025)
Forget What You Know about LLMs Evaluations -- LLMs are Like a Chameleon
por: Cohen-Inger, Nurit, et al.
Publicado: (2025)
por: Cohen-Inger, Nurit, et al.
Publicado: (2025)
LLMs Are Not Intelligent Thinkers: Introducing Mathematical Topic Tree Benchmark for Comprehensive Evaluation of LLMs
por: Davoodi, Arash Gholami, et al.
Publicado: (2024)
por: Davoodi, Arash Gholami, et al.
Publicado: (2024)
Interpreting the Effects of Quantization on LLMs
por: Singh, Manpreet, et al.
Publicado: (2025)
por: Singh, Manpreet, et al.
Publicado: (2025)
Active Task Disambiguation with LLMs
por: Kobalczyk, Katarzyna, et al.
Publicado: (2025)
por: Kobalczyk, Katarzyna, et al.
Publicado: (2025)
Sample-Efficient Alignment for LLMs
por: Liu, Zichen, et al.
Publicado: (2024)
por: Liu, Zichen, et al.
Publicado: (2024)
Certifying Knowledge Comprehension in LLMs
por: Chaudhary, Isha, et al.
Publicado: (2024)
por: Chaudhary, Isha, et al.
Publicado: (2024)
Aligners: Decoupling LLMs and Alignment
por: Ngweta, Lilian, et al.
Publicado: (2024)
por: Ngweta, Lilian, et al.
Publicado: (2024)
Tracing Computation Density in LLMs
por: Kervadec, Corentin, et al.
Publicado: (2026)
por: Kervadec, Corentin, et al.
Publicado: (2026)
Reward-Robust RLHF in LLMs
por: Yan, Yuzi, et al.
Publicado: (2024)
por: Yan, Yuzi, et al.
Publicado: (2024)
Ejemplares similares
-
Native Design Bias: Studying the Impact of English Nativeness on Language Model Performance
por: Reusens, Manon, et al.
Publicado: (2024) -
Are Economists Always More Introverted? Analyzing Consistency in Persona-Assigned LLMs
por: Reusens, Manon, et al.
Publicado: (2025) -
Would a Large Language Model Pay Extra for a View? Inferring Willingness to Pay from Subjective Choices
por: Reusens, Manon, et al.
Publicado: (2026) -
Domain Adaptation of LLMs for Process Data
por: Oyamada, Rafael Seidi, et al.
Publicado: (2025) -
Minimal and Mechanistic Conditions for Behavioral Self-Awareness in LLMs
por: Bozoukov, Matthew, et al.
Publicado: (2025)