3 citations · 6 across the 4 of their papers we have counts for
3 papers · 1 filter
RomanLens: The Role Of Latent Romanization In Multilinguality In LLMs
Alan Saji, Jaavid Aktar Husain, Thanmay Jayakumar +3
Large Language Models (LLMs) exhibit strong multilingual performance despite being predominantly trained on English-centric corpora. This raises a fundamental question: How do LLMs…
Airavata: Introducing Hindi Instruction-tuned LLM
Jay Gala, Thanmay Jayakumar, Jaavid Aktar Husain +8
We announce the initial release of "Airavata," an instruction-tuned LLM for Hindi. Airavata was created by fine-tuning OpenHathi with diverse, instruction-tuning Hindi datasets to…
RomanSetu: Efficiently unlocking multilingual capabilities of Large Language Models via Romanization
Jaavid Aktar Husain, Raj Dabre, Aswanth Kumar +4
This study addresses the challenge of extending Large Language Models (LLMs) to non-English languages that use non-Roman scripts. We propose an approach that utilizes the romanized…