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Sara Vera Marjanovic

Sara Vera Marjanovic has 2 papers in our library, in 2025, most of them on Language models & pretraining, Reasoning, Information retrieval & search; often with Arkil Patel, Arnav Arora, Benno Krojer.

2 papers in our library · 2025

OpenAlex · ORCID · h-index 4 · 13 works · 74 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 264 times in our library · ⭐ Paper Stars ranking: #9419

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of CopenhagenCopenhagen · Denmark2022–2026 · 9 papersEmploymentcurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 work

🧭 Topics 3Research subjects and languages the work is about.Information retrieval & search · 1 workLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. DeepSeek-R1 Thoughtology: Let's think about LLM Reasoning (2025 · 47 citations)
    Large Reasoning Models (LRMs) produce long reasoning chains before giving an answer. Their internal behaviour has been hard to study because OpenAI's o1 hides its thoughts. DeepSeek-R1 exposes its reasoning, so the authors use it to launch a research programme they call "Thoughtology."
  2. A Reality Check on Context Utilisation for Retrieval-Augmented Generation (2025 · 13 citations)
    Research on how language models use retrieved passages in RAG has mostly relied on synthetic benchmarks. In these, contexts are templated or generated to create clear-cut situations such as knowledge conflicts. Hagström et al. ask whether such setups reflect what a real retriever returns. They build DRUID, a…

 Co-authors here

12 of 14 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 264 times (of the 149,439 papers whose bibliographies we read); 109 citing papers with a page here →.

Updated

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