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Dominik Macháček

Dominik Macháček has 2 papers in our library, in 2026, most of them on Language models & pretraining, Speech & spoken language; often with Carlos Escolano, Jorge Iranzo-Sánchez, Maike Züfle.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 7 · 54 works · 141 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 56 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #10136

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

🎓Charles UniversityPrague · Czechia2013–2026 · 28 papersEducation 2013–2016 · Bc., Faculty of Mathematics and PhysicsEducation since 2016 · Mgr., ÚFAL, Faculty of Mathematics and Physicscurrent🎓University of EdinburghEdinburgh · United Kingdom2021–2026 · 8 paperscurrent🎓Queen's University BelfastBelfast · United Kingdom2026 · 1 papercurrent🔬National Institute of Information and Communications TechnologyTokyo · Japan2023 · 3 papers

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 5The 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 · 2 works

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workSpeech & spoken language · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMs (2026 · 7 citations)
    Speech-LLMs attach an audio encoder to a large language model so it can translate speech directly, without a separate transcription step.
  2. A Pocket Offline Model for Simultaneous Speech Translation as CUNI Submission to IWSLT 2026 (2026 · 1 citation)
    This CUNI submission to the IWSLT 2026 Simultaneous Speech Translation task turns an offline direct speech-to-text model into a simultaneous one without retraining.

All works

6 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. Speech Translation and Metrics in 2026: Findings of the IWSLT Campaign ↗Proceedings of the 23rd International Conference on Spoken Language Translation (IWSLT 2026) · no summary yetDavid Ifeoluwa Adelani et al.2026 · 30 citations
  2. MT Metrics Correlate with Human Ratings of Simultaneous Speech Translation ↗Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023) · no summary yetDominik Macháček, Ondřej Bojar, Raj Dabre2023 · 15 citations
  3. Continuous Rating as Reliable Human Evaluation of Simultaneous Speech Translation ↗Proceedings of the Seventh Conference on Machine Translation (WMT) · no summary yetDávid Javorský, Dominik Macháček, Ondřej Bojar2022 · 8 citations
  4. Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMsTransactions of the Association for Computational Linguistics (TACL)Sara Papi, Javier Garcia Gilabert, Zachary Hopton, et al.2026 · 7 citations
  5. A Pocket Offline Model for Simultaneous Speech Translation as CUNI Submission to IWSLT 2026International Conference on Spoken Language Translation (IWSLT)Aziz Sharipov Ortega, Dominik Macháček2026 · 1 citation
  6. Robustness of Multi-Source MT to Transcription Errors ↗Findings of the Association for Computational Linguistics: ACL 2023 · no summary yetDominik Macháček et al.2023 · 1 citation

 Co-authors here

6 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 56 times (of the 149,439 papers whose bibliographies we read); 18 citing papers with a page here →.

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