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Diego Moussallem

2 accepted papers

2025

Contextual Augmentation for Entity Linking using Large Language Models

COLING 2025main

Entity Linking involves detecting and linking entity mentions in natural language texts to a knowledge graph. Traditional methods use a two-step process with separate models for entity recognition and disambiguation, which can be computationally intensive and less effective. We propose a fine-tuned…

2025

LOLA – An Open-Source Massively Multilingual Large Language Model

COLING 2025main

This paper presents LOLA, a massively multilingual large language model trained on more than 160 languages using a sparse Mixture-of-Experts Transformer architecture. Our architectural and implementation choices address the challenge of harnessing linguistic diversity while maintaining efficiency an…