Imagen de Portada

OAEI Machine Learning Dataset for Online Model Generation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Hertling, Sven, Norouzi, Ebrahim, Sack, Harald
Formato:	Preprint
Publicado:	2024
Materias:	Information Retrieval
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

ConExion: Concept Extraction with Large Language Models
por: Norouzi, Ebrahim, et al.
Publicado: (2025)

Semantic Representation of Processes with Ontology Design Patterns
por: Norouzi, Ebrahim, et al.
Publicado: (2025)

The landscape of ontologies in materials science and engineering: A survey and evaluation
por: Norouzi, Ebrahim, et al.
Publicado: (2024)

AI4DiTraRe: Building the BFO-Compliant Chemotion Knowledge Graph
por: Norouzi, Ebrahim, et al.
Publicado: (2025)

OAEI-LLM: A Benchmark Dataset for Understanding Large Language Model Hallucinations in Ontology Matching
por: Qiang, Zhangcheng, et al.
Publicado: (2024)

OAEI-LLM-T: A TBox Benchmark Dataset for Understanding Large Language Model Hallucinations in Ontology Matching
por: Qiang, Zhangcheng, et al.
Publicado: (2025)

Testing Deep Learning Recommender Systems Models on Synthetic GAN-Generated Datasets
por: Bobadilla, Jesús, et al.
Publicado: (2024)

EMPRA: Embedding Perturbation Rank Attack against Neural Ranking Models
por: Bigdeli, Amin, et al.
Publicado: (2024)

ETimeline: An Extensive Timeline Generation Dataset based on Large Language Model
por: Liu, Xiaochen, et al.
Publicado: (2025)

Adversarial Attacks against Neural Ranking Models via In-Context Learning
por: Bigdeli, Amin, et al.
Publicado: (2025)

Research Knowledge Graphs in NFDI4DataScience: Key Activities, Achievements, and Future Directions
por: Silva, Kanishka, et al.
Publicado: (2025)

Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning
por: Fan, Yuxin, et al.
Publicado: (2025)

Machine-Readable Ads: Accessibility and Trust Patterns for AI Web Agents interacting with Online Advertisements
por: Nitu, Joel, et al.
Publicado: (2025)

Mitigating Exposure Bias in Online Learning to Rank Recommendation: A Novel Reward Model for Cascading Bandits
por: Mansoury, Masoud, et al.
Publicado: (2024)

An Analysis of Datasets, Metrics and Models in Keyphrase Generation
por: Boudin, Florian, et al.
Publicado: (2025)

DIET: Learning to Distill Dataset Continually for Recommender Systems
por: Zhang, Jiaqing, et al.
Publicado: (2026)

Shopping Queries Image Dataset (SQID): An Image-Enriched ESCI Dataset for Exploring Multimodal Learning in Product Search
por: Ghossein, Marie Al, et al.
Publicado: (2024)

Leveraging Machine Learning and Large Language Models for Automated Image Clustering and Description in Legal Discovery
por: Mao, Qiang, et al.
Publicado: (2025)

$\textit{lucie}$: An Improved Python Package for Loading Datasets from the UCI Machine Learning Repository
por: Ge, Kenneth, et al.
Publicado: (2024)

CTR-Driven Ad Text Generation via Online Feedback Preference Optimization
por: Chen, Yanda, et al.
Publicado: (2025)

EGA-V1: Unifying Online Advertising with End-to-End Learning
por: Qiu, Junyan, et al.
Publicado: (2025)

Knowledge in Triples for LLMs: Enhancing Table QA Accuracy with Semantic Extraction
por: Sholehrasa, Hossein, et al.
Publicado: (2024)

Exploring Scaling Laws of CTR Model for Online Performance Improvement
por: Lai, Weijiang, et al.
Publicado: (2025)

Is Interpretable Machine Learning Effective at Feature Selection for Neural Learning-to-Rank?
por: Lyu, Lijun, et al.
Publicado: (2024)

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation
por: Choi, Chanyeol, et al.
Publicado: (2025)

Rank-GRPO: Training LLM-based Conversational Recommender Systems with Reinforcement Learning
por: Zhu, Yaochen, et al.
Publicado: (2025)

Listwise Generative Retrieval Models via a Sequential Learning Process
por: Tang, Yubao, et al.
Publicado: (2024)

RCLRec: Reverse Curriculum Learning for Modeling Sparse Conversions in Generative Recommendation
por: Huang, Yulei, et al.
Publicado: (2026)

Dataset and Models for Item Recommendation Using Multi-Modal User Interactions
por: Bruun, Simone Borg, et al.
Publicado: (2024)

ReFormeR: Learning and Applying Explicit Query Reformulation Patterns
por: Bigdeli, Amin, et al.
Publicado: (2026)

CS-PaperSum: A Large-Scale Dataset of AI-Generated Summaries for Scientific Papers
por: Liu, Javin, et al.
Publicado: (2025)

Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems
por: Zhu, Yaochen, et al.
Publicado: (2025)

Budget-Constrained Online Retrieval-Augmented Generation: The Chunk-as-a-Service Model
por: Al-Maliki, Shawqi, et al.
Publicado: (2026)

Evaluating Recabilities of Foundation Models: A Multi-Domain, Multi-Dataset Benchmark
por: Liu, Qijiong, et al.
Publicado: (2025)

Cross Domain LifeLong Sequential Modeling for Online Click-Through Rate Prediction
por: Hou, Ruijie, et al.
Publicado: (2023)

AutoDataset: A Lightweight System for Continuous Dataset Discovery and Search
por: Yang, Junzhe, et al.
Publicado: (2026)

Online Learning for Recommendations at Grubhub
por: Egg, Alex
Publicado: (2021)

IntTravel: A Real-World Dataset and Generative Framework for Integrated Multi-Task Travel Recommendation
por: Yan, Huimin, et al.
Publicado: (2026)

A Hybrid Architecture for Multi-Stage Claim Document Understanding: Combining Vision-Language Models and Machine Learning for Real-Time Processing
por: Cheng, Lilu, et al.
Publicado: (2026)

Dataset Condensation for Recommendation
por: Wu, Jiahao, et al.
Publicado: (2023)