Elamur Research⌕
☰
home / authors / Evelina Bakhturina

Evelina Bakhturina

Evelina Bakhturina has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining, Reasoning, Information retrieval & search; often with Bryan Catanzaro, Mohammad Shoeybi, Chen Zhu.

2 papers in our library · 2023–2026

OpenAlex · h-index 8 · 41 works · 312 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 352 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #6319

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

🏢NvidiaSanta Clara · United States2020–2026 · 12 paperscurrent🏢NvidiaReading · United Kingdom2020–2026 · 4 paperscurrent🎓Boston UniversityBoston · United States2026 · 1 papercurrent🎓Carnegie Mellon UniversityPittsburgh · United States2026 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 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

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Retrieval meets Long Context Large Language Models (2023 · 130 citations)
    This paper asks whether long-context LLMs make retrieval unnecessary, or whether the two approaches work better together.
  2. Nemotron-CrossThink: Scaling Self-Learning beyond Math Reasoning (2026 · 9 citations)
    Reinforcement learning (RL) has improved LLM reasoning mainly in math and code, where answers can be checked automatically.

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. BioMegatron: Larger Biomedical Domain Language Model ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetHoo-Chang Shin et al.2020 · 155 citations
  2. Retrieval meets Long Context Large Language ModelsarXiv:2310.03025Peng Xu, Wei Ping, Xianchao Wu, et al.2023 · 130 citations
  3. Hi-Fi Multi-Speaker English TTS Dataset ↗Interspeech (USB) · no summary yetEvelina Bakhturina et al.2021 · 82 citations
  4. Nemotron-CrossThink: Scaling Self-Learning beyond Math ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Syeda Nahida Akter, Shrimai Prabhumoye, Matvei Novikov, et al.2026 · 9 citations

 Co-authors here

12 of 15 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 352 times (of the 149,439 papers whose bibliographies we read); 73 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/evelina-bakhturina/