Image de couverture de livre

Embedding Domain-Specific Knowledge from LLMs into the Feature Engineering Pipeline

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Batista, João Eduardo
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Exploring How LLMs Capture and Represent Domain-Specific Knowledge
par: Garcia, Mirian Hipolito, et autres
Publié: (2025)

Advancing Semantic Caching for LLMs with Domain-Specific Embeddings and Synthetic Data
par: Gill, Waris, et autres
Publié: (2025)

Coverage-Aware Web Crawling for Domain-Specific Supplier Discovery via a Web--Knowledge--Web Pipeline
par: Qi, Yijiashun, et autres
Publié: (2026)

Embedding World Knowledge into Tabular Models: Towards Best Practices for Embedding Pipeline Design
par: Kolomenko, Oksana, et autres
Publié: (2026)

Evaluating the Predictive Features of Person-Centric Knowledge Graph Embeddings: Unfolding Ablation Studies
par: Theodoropoulos, Christos, et autres
Publié: (2024)

Interpreting Contrastive Embeddings in Specific Domains with Fuzzy Rules
par: Fumanal-Idocin, Javier, et autres
Publié: (2026)

Focus On This, Not That! Steering LLMs with Adaptive Feature Specification
par: Lamb, Tom A., et autres
Publié: (2024)

Agentic Adversarial QA for Improving Domain-Specific LLMs
par: Grari, Vincent, et autres
Publié: (2026)

Integrating Meta-Features with Knowledge Graph Embeddings for Meta-Learning
par: Klironomos, Antonis, et autres
Publié: (2026)

Fine-tuning of Large Language Models for Domain-Specific Cybersecurity Knowledge
par: Huang, Yuan
Publié: (2025)

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs
par: Hu, Lanxiang, et autres
Publié: (2024)

Semantic Outlier Removal with Embedding Models and LLMs
par: Akbiyik, Eren, et autres
Publié: (2025)

Probing Materials Knowledge in LLMs: From Latent Embeddings to Reliable Predictions
par: Venugopal, Vineeth, et autres
Publié: (2026)

Statistical Test for Feature Selection Pipelines by Selective Inference
par: Shiraishi, Tomohiro, et autres
Publié: (2024)

ReCellTy: Domain-Specific Knowledge Graph Retrieval-Augmented LLMs Reasoning Workflow for Single-Cell Annotation
par: Han, Dezheng, et autres
Publié: (2025)

Algorithm Selection with Zero Domain Knowledge via Text Embeddings
par: Szeider, Stefan
Publié: (2026)

Benchmarking for Domain-Specific LLMs: A Case Study on Academia and Beyond
par: Chen, Rubing, et autres
Publié: (2025)

A Pipeline of Augmentation and Sequence Embedding for Classification of Imbalanced Network Traffic
par: Shokri, Matin, et autres
Publié: (2025)

EDCA - An Evolutionary Data-Centric AutoML Framework for Efficient Pipelines
par: Simões, Joana, et autres
Publié: (2025)

ProteinEngine: Empower LLM with Domain Knowledge for Protein Engineering
par: Shen, Yiqing, et autres
Publié: (2024)

Resilience in Knowledge Graph Embeddings
par: Sharma, Arnab, et autres
Publié: (2024)

EpilepsyLLM: Domain-Specific Large Language Model Fine-tuned with Epilepsy Medical Knowledge
par: Zhao, Xuyang, et autres
Publié: (2024)

Domain-Grounded Evaluation of LLMs in International Student Knowledge
par: Daitx, Claudinei, et autres
Publié: (2025)

Enhancing Large Language Models with Domain-Specific Knowledge: The Case in Topological Materials
par: Xu, HuangChao, et autres
Publié: (2024)

Engineering Regression Without Real-Data Training: Domain Adaptation for Tabular Foundation Models Using Multi-Dataset Embeddings
par: Regenwetter, Lyle, et autres
Publié: (2026)

DK-STN: A Domain Knowledge Embedded Spatio-Temporal Network Model for MJO Forecast
par: Li, Hongliang, et autres
Publié: (2025)

UniTE: A Survey and Unified Pipeline for Pre-training Spatiotemporal Trajectory Embeddings
par: Lin, Yan, et autres
Publié: (2024)

A Survey on Knowledge Graph Structure and Knowledge Graph Embeddings
par: Sardina, Jeffrey, et autres
Publié: (2024)

Adversarial Suffix Filtering: a Defense Pipeline for LLMs
par: Khachaturov, David, et autres
Publié: (2025)

Constructing Synthetic Instruction Datasets for Improving Reasoning in Domain-Specific LLMs: A Case Study in the Japanese Financial Domain
par: Okochi, Yuma, et autres
Publié: (2026)

HySim-LLM: Embedding-Weighted Fine-Tuning Bounds and Manifold Denoising for Domain-Adapted LLMs
par: Jaberi-Douraki, Majid, et autres
Publié: (2025)

Learned Feature Importance Scores for Automated Feature Engineering
par: Dong, Yihe, et autres
Publié: (2024)

Evaluation of Pipelines for Data Integration into Knowledge Graphs
par: Hofer, Marvin, et autres
Publié: (2026)

Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models
par: Lee, Joseph, et autres
Publié: (2024)

Can Out-of-Domain data help to Learn Domain-Specific Prompts for Multimodal Misinformation Detection?
par: Bhattacharya, Amartya, et autres
Publié: (2023)

Robust Knowledge Graph Embedding via Denoising
par: Song, Tengwei, et autres
Publié: (2025)

Embedding Compression for Teacher-to-Student Knowledge Transfer
par: Ding, Yiwei, et autres
Publié: (2024)

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models
par: Anjum, Khizar, et autres
Publié: (2025)

MedFeat: Model-Aware and Explainability-Driven Feature Engineering with LLMs for Clinical Tabular Prediction
par: Zhang, Zizheng, et autres
Publié: (2026)

A Survey of Pipeline Tools for Data Engineering
par: Mbata, Anthony, et autres
Publié: (2024)