Mehdi Ali

CLEP: A Hybrid Data- and Knowledge-Driven Framework for Generating Patient Representations

2020 · bioRxiv (Cold Spring Harbor Laboratory)

Abstract As machine learning and artificial intelligence become more useful in the interpretation of biomedical data, their utility depends on the data used to train them. Due to the complexity and high dimensionality of biomedical …

Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models

2025 · arXiv (Cornell University)

High-quality multilingual training data is essential for effectively pretraining large language models (LLMs). Yet, the availability of suitable open-source multilingual datasets remains limited. Existing state-of-the-art datasets mostly rely on heuristic filtering methods, restricting both their …