Lucas Bandarkar

I'm a second-year A.I. Ph.D. student in the Computer Science department at UCLA. I'm advised by Nanyun (Violet) Peng in the PLUS Lab and study multilinguality in LLMs. 

Before this, I spent over two years as a research data scientist at Meta/Facebook AI working on large-scale multilingual NLP. There, I generally focused on model evaluation, resource creation & data annotation, and global language strategy for a suite of production models such as machine translation, language identification, and text embeddings. Notably, I led the development of the Belebele dataset (GitHub, HuggingFace), which has over a million downloads. During my undergrad at UC Berkeley, I worked in Marti Hearst's NLP lab under the mentorship of Philippe Laban.

• model modularity: model merging, adapters, implicit modularity

• multi-/cross-lingual representations: model interpretability, cross-lingual transfer, modular & "language-agnostic" representations, tokenization

• multilingual training data & evaluation: language identification, data annotation & resource creation, embeddings evaluation, translation evaluation

Applications: multilingual embeddings, LLM language adaptation, LMs in low-resource languages, language identification, machine translation

(in progress) Ph.D. in Computer Science, UCLA

Sep 2023 - current

B.A. in Statistics, Data Science, UC Berkeley

Aug 2017 - May 2021