2 papers
cs.LG2025
Semantic Outlier Removal with Embedding Models and LLMs
Eren Akbiyik, João Almeida, Rik Melis +3
Modern text processing pipelines demand robust methods to remove extraneous content while preserving a document's core message. Traditional approaches such as HTML boilerplate extr…
cs.LG2023
Graphtester: Exploring Theoretical Boundaries of GNNs on Graph Datasets
Eren Akbiyik, Florian Grötschla, Beni Egressy +1
Graph Neural Networks (GNNs) have emerged as a powerful tool for learning from graph-structured data. However, even state-of-the-art architectures have limitations on what structur…