Raquib Yousuf

Raquib Yousuf was a Ph.D. student in the Department of Computer Science. His advisor was Naren Ramakrishnan.

His research develops large language model systems for complex analytical reasoning. His work explores how LLMs can organize evidence across documents, retain relational structure over long contexts, retrieve more reliable context using metadata, and support human-guided analysis of structured data.

Publications

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Lessons from Deep Learning applied to Scholarly Information Extraction: What Works, What Doesn't, and Future Directions Date: Jul 07, 2022 -

Projects

In the News

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Congratulations to Sanghani Center 2026 Spring Graduates , article Date: May 15, 2026 -
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Sanghani Center graduate students gain real-world experience while working at companies and labs from coast to coast , article Date: Jul 03, 2023 -
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Sanghani Center Student Spotlight: Raquib Bin Yousuf , article Date: Mar 02, 2023 -

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