4 papers · 1 filter
Rethinking the Role of Text Complexity in Language Model Pretraining
Dan John Velasco, Matthew Theodore Roque
Improving pretraining data quality and size is known to boost downstream performance, but the role of text complexity--how hard a text is to read--remains less explored. We reduce…
Beyond Repetition: Text Simplification and Curriculum Learning for Data-Constrained Pretraining
Matthew Theodore Roque, Dan John Velasco
Most studies on language model pretraining focus on large datasets, leaving open questions about optimization in data-constrained settings. In such settings, the effects of trainin…
Scaling, Simplification, and Adaptation: Lessons from Pretraining on Machine-Translated Text
Dan John Velasco, Matthew Theodore Roque
Most languages lack sufficient data for large-scale monolingual pretraining, creating a "data wall." Multilingual pretraining helps but is limited by language imbalance and the "cu…
SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages
Holy Lovenia, Rahmad Mahendra, Salsabil Maulana Akbar +58
Southeast Asia (SEA) is a region rich in linguistic diversity and cultural variety, with over 1,300 indigenous languages and a population of 671 million people. However, prevailing…