Farid Adilazuarda

Hi, I'm Farid!

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I’m a PhD student at the University of Edinburgh, where I’m very fortunate to be advised by Edoardo Ponti and Alexandra Birch. I’m a member of the Institute for Language, Cognition and Computation (ILCC) and the Edinburgh NLP Group.

My research asks a big question: “How can we design foundation models that remember, reason, and evaluate well under tight compute budgets?” To answer this, I work on model memory, efficient inference, and evaluation. Currently, I study memory compression for long-context language models. I am also building a culturally grounded video/world-model benchmark.

Before Edinburgh, I was a Research Assistant at MBZUAI in Abu Dhabi and a visiting researcher at the UKP Lab, TU Darmstadt, where I worked on multilingual, multicultural, and parameter-efficient NLP—topics I still enjoy discussing!

I know how much research success can depend on access and opportunity. If you’re from an underrepresented group and think a conversation might help, feel free to reach out by email.

news

Sep 01, 2025 Our new method and analysis paper “From Surveys to Narratives: Rethinking Cultural Value Adaptation in LLMs” is accepted to the EMNLP 2025 Main conference in Suzhou, China!🎉
Jul 27, 2025 Our new benchmark paper “NusaAksara: A Multimodal and Multilingual Benchmark for Preserving Indonesian Indigenous Scripts” is accepted to the ACL 2025 Main conference in Vienna, Austria!🎉
Oct 10, 2024 Four papers: LinguAlchemy (Findings), Cultural Survey (Main), Cultural Placebo (Main), and SEACrowd (Main) have been accepted to EMNLP 2024! See you in Miami! 🇺🇸
Jun 27, 2024 Our survey paper “Towards Measuring and Modeling “Culture” in LLMs: A Survey” is accepted to the C3NLP: The 2nd Workshop on Cross-Cultural Considerations in NLP, co-located with ACL 2024🎉. I will attend ACL in person in Bangkok! 🇹🇭
Jun 18, 2024 Joined UKP Lab at TU Darmstadt, Germany🇩🇪 for a research visit. I will be supervised by Prof. Iryna Gurevych to work on Parameter-Efficient Modules.