PhD candidate at George Mason University. Multilingual and multicultural NLP, LLMs, low-resource languages, bias and fairness.
My homepage has my papers, code, datasets, talks, and CV.
- Double Trouble: Bilingual Pretraining Leaves Language-Conditioned Effects in Shared-Language Representations. EMNLP 2026, Outstanding Paper Award. Code: bli
- MAPLE: Metadata Conditioned LLM Pretraining for Locale-Aware Question Answering. EMNLP 2026, oral. Code: metadata_localization
- Lost in the Tower of Babel: The Adverse Effects of Incidental Multilingualism in LLMs. COLM 2026.
- Crossroads of Continents: Automated Artifact Extraction for Cultural Adaptation with Large Multimodal Models. WACV 2025. Code: crossroads
- Global Gallery: The Fine Art of Painting Culture Portraits through Multilingual Instruction Tuning. NAACL 2024. Code: culture-llm
- Breaking Bias, Building Bridges: Evaluation and Mitigation of Social Biases in LLMs via Contact Hypothesis. AIES 2024, co-first author with Chahat Raj.
- Global Voices, Local Biases: Socio-cultural Prejudices across Languages. EMNLP 2023, co-first author with Chahat Raj. Code and data: weathub
The full list is on Google Scholar, Semantic Scholar, the ACL Anthology, and DBLP. Datasets and models are on Hugging Face. ORCID: 0000-0003-4012-8466.
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I have previously worked with mlpack as a Google Summer of Code student. I am part of the core mlpack Contributors team.
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I have also worked with the Computer Graphics and Virtual Reality Research Lab on research regarding continuous collision detection.
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I even have a couple of papers with researchers from MIT and University of Toronto regarding applications of deep learning methods to clinical procedures that help in early detection of cancer.
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I write articles on https://iamshnoo.github.io/blog/
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Pronouns: he/him
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