--- title: "Rohith Namboothiri — author profile and papers in our library" description: "Rohith Namboothiri: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/rohith-namboothiri/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/rohith-namboothiri/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Rohith Namboothiri # Rohith Namboothiri Rohith Namboothiri has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5123659246) · [ORCID](https://orcid.org/0009-0003-8516-0723) · [**h-index 0**](https://openalex.org/authors/A5123659246) · [11 works](https://openalex.org/works?filter=author.id:A5123659246) · [0 citations](https://openalex.org/works?filter=author.id:A5123659246&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/rohith-namboothiri/#papers) · [⭐ Paper Stars ranking: #12201](https://md.research.elamur.ai/free/en/paper-stars/page/123/#star-12201) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Rohith+Namboothiri) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Rohith+Namboothiri) · [dblp](https://dblp.org/search?q=Rohith+Namboothiri) · [ACL Anthology](https://aclanthology.org/search/?q=Rohith+Namboothiri) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) 🧭 Topics 2 Research subjects and languages the work is about.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/rohith-namboothiri/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Authorization-First Retrieval: Enforcing Least Privilege in Multi-Agent RAG Systems](https://md.research.elamur.ai/free/en/papers/namboothiri-2026-authorization-first-retrieval-enforcing-least/)** *(2026)* When a RAG assistant serves many users under role-based access control, similarity search ignores permissions. 2. **[Ghost Context: Measuring Cross-Context Interference in Long-Context Language Models](https://md.research.elamur.ai/free/en/papers/namboothiri-2026-ghost-context-measuring-cross-context/)** *(2026)* Long-context LLMs in RAG pipelines and agents receive prompts assembled from many sources, and the system assumes the model will rely on the span that answers the query. ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/) ×2: [Workshop on Trustworthy NLP 2026](https://md.research.elamur.ai/free/en/venues/trustnlp/2026/) ×2 Updated 1 November 2026