2 citations · 3 across the 5 of their papers we have counts for
8 papers
APOLO: Automatic Prompt Optimization for Ontology Learning
Huu Tan Mai, Roman Kochnev, Cuong Xuan Chu +3
Ontology Learning (OL) from text has advanced with the emergence of Large Language Models (LLMs), but it remains challenging due to the limited availability of annotated training d…
Scalable GNN-based Knowledge Graph Representation Learning with Efficient Message Passing
Huu Tan Mai, Cuong Xuan Chu, Heiko Paulheim +1
Graph neural networks (GNNs) excel at representation learning on Knowledge Graphs (KGs), achieving stateof-the-art performance on tasks like link prediction or entity classificatio…
MultiGlobeQA: A Multilingual and Globally Diverse Benchmark for Geospatial Reasoning
Martin Böckling, Elizaveta Nosova, Heiko Paulheim +1
Geospatial reasoning, i.e., computing distances, containment, and other spatial relations over real-world entities, is central to navigation and logistics, yet large language model…
Walk&Retrieve: Simple Yet Effective Zero-shot Retrieval-Augmented Generation via Knowledge Graph Walks
Martin Böckling, Heiko Paulheim, Andreea Iana
Large Language Models (LLMs) have showcased impressive reasoning abilities, but often suffer from hallucinations or outdated knowledge. Knowledge Graph (KG)-based Retrieval-Augment…
Peeling Back the Layers: An In-Depth Evaluation of Encoder Architectures in Neural News Recommenders
Andreea Iana, Goran Glavaš, Heiko Paulheim
Encoder architectures play a pivotal role in neural news recommenders by embedding the semantic and contextual information of news and users. Thus, research has heavily focused on…
Do LLMs Really Adapt to Domains? An Ontology Learning Perspective
Huu Tan Mai, Cuong Xuan Chu, Heiko Paulheim
Large Language Models (LLMs) have demonstrated unprecedented prowess across various natural language processing tasks in various application domains. Recent studies show that LLMs…
News Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-lingual News Recommendation
Andreea Iana, Fabian David Schmidt, Goran Glavaš +1
Rapidly growing numbers of multilingual news consumers pose an increasing challenge to news recommender systems in terms of providing customized recommendations. First, existing ne…
MIND Your Language: A Multilingual Dataset for Cross-lingual News Recommendation
Andreea Iana, Goran Glavaš, Heiko Paulheim
Digital news platforms use news recommenders as the main instrument to cater to the individual information needs of readers. Despite an increasingly language-diverse online communi…