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Sertan Girgin

Sertan Girgin has 2 papers in our library, in 2023, most of them on Summarization, Speech & spoken language, Reasoning; often with Damien Vincent, Eugene Kharitonov, Marco Tagliasacchi.

2 papers in our library · 2023

OpenAlex · h-index 17 · 85 works · 2,039 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 5,745 times in our library · 8 more in our library without a page yet · ⭐ Paper Stars ranking: #5574

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

🏢GoogleMountain View · United States2017–2023 · 19 papers🔬Institut national de recherche en sciences et technologies du numériqueLe Chesnay-Rocquencourt · France2008–2022 · 13 papers🎓Middle East Technical UniversityAnkara · Türkiye2006–2010 · 8 papers🔬Centre Inria de l'Université de LilleVilleneuve-d'Ascq · France2008–2012 · 7 papers🔬Centre National de la Recherche ScientifiqueParis · France2009–2022 · 4 papers🔬Laboratoire d'Informatique Fondamentale de LilleVilleneuve-d'Ascq · France2009–2012 · 3 papers🎓Université de LilleLille · France2009–2012 · 3 papers🎓University of CalgaryCalgary · Canada2006–2007 · 3 papers🎓Bar-Ilan UniversityRamat Gan · Israel2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 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 · 1 work

🧭 Topics 3Research subjects and languages the work is about.Speech & spoken language · 1 workReasoning · 1 workSummarization · 1 work

 Works by year

2020s

20232 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision (2023 · 143 citations)
    SPEAR-TTS addresses the fact that text-to-speech systems usually need hundreds of hours of transcribed audio, which leaves most of the world's languages without high-quality TTS.
  2. Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback (2023 · 70 citations)
    Abstractive summarizers often produce statements that their source article does not support or even contradicts.

All works

10 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. Gemma: Open Models Based on Gemini Research and Technology ↗arXiv:2403.08295 · no summary yetGemma Team et al.2024 · 1,313 citations
  2. Gemma 2: Improving Open Language Models at a Practical Size ↗arXiv:2408.00118 · no summary yetGemma Team et al.2024 · 1,302 citations
  3. Gemma 3 Technical Report ↗arXiv:2503.19786 · no summary yetGemma Team et al.2025 · 1,147 citations
  4. Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal SupervisionTransactions of the Association for Computational Linguistics (TACL)Eugene Kharitonov, Damien Vincent, Zalán Borsos, et al.2023 · 143 citations
  5. What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study ↗arXiv:2006.05990 · no summary yetMarcin Andrychowicz et al.2020 · 118 citations
  6. Factually Consistent Summarization via Reinforcement Learning with Textual Entailment FeedbackAnnual Meeting of the Association for Computational Linguistics (ACL)Paul Roit, Johan Ferret, Lior Shani, et al.2023 · 70 citations
  7. Gemma 4 Technical Report ↗arXiv (Cornell University) · no summary yetGemma Team et al.2026 · 45 citations
  8. Nash Learning from Human Feedback ↗arXiv:2312.00886 · no summary yetRemi Munos et al.2023 · 32 citations
  9. BOND: Aligning LLMs with Best-of-N Distillation ↗arXiv:2407.14622 · no summary yetPier Giuseppe Sessa et al.2024 · 23 citations
  10. RecurrentGemma: Moving Past Transformers for Efficient Open Language Models ↗arXiv (Cornell University) · no summary yetAleksandar Botev et al.2024 · 22 citations

 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 5,745 times (of the 149,439 papers whose bibliographies we read); 1,071 citing papers with a page here →.

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