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Dmytro Okhonko

Dmytro Okhonko has 2 papers in our library, in 2020–2022, most of them on Question answering, Speech & spoken language, Information retrieval & search; often with Anne Wu, Barlas Oguz, Changhan Wang.

2 papers in our library · 2020–2022

OpenAlex · h-index 13 · 16 works · 1,094 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 209 times in our library · ⭐ Paper Stars ranking: #3723

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

🏢MetaMenlo Park · United States2019–2023 · 7 papers🏢MetaLondon · United Kingdom2019–2021 · 3 papers🎓Carnegie Mellon UniversityPittsburgh · United States2021 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksSignal Processing · 1 workComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 work

🧭 Topics 3Research subjects and languages the work is about.Speech & spoken language · 1 workInformation retrieval & search · 1 workQuestion answering · 1 work

 Works by year

2020s

20221 paperUniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering20201 paperFairseq S2T: Fast Speech-to-Text Modeling with Fairseq

 Papers

The most cited first (OpenAlex and our library).

  1. Fairseq S2T: Fast Speech-to-Text Modeling with Fairseq (2020 · 259 citations)
    Speech recognition (ASR), speech translation (ST), machine translation (MT) and language modeling (LM) increasingly share data, architectures and training signals.
  2. UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering (2022 · 146 citations)
    Open-domain QA systems usually rely on a single kind of knowledge. Text-based approaches use retriever-reader pipelines, while KB-based approaches depend on semantic parsing or graph methods. Combining the two has typically meant either complex multi-system setups or graph models that perform poorly. UniK-QA takes a…

 Co-authors here

12 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 209 times (of the 141,840 papers whose bibliographies we read); 13 citing papers with a page here →.

Updated

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