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Kaibo Liu

Kaibo Liu has 2 papers in our library, in 2019–2025, most of them on Machine translation; often with Baigong Zheng, ByteDance Seed, Daoguang Zan.

2 papers in our library · 2019–2025

OpenAlex · ORCID · Wikidata · h-index 29 · 93 works · 3,028 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 207 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #4485

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 Wisconsin–MadisonMadison · United States2014–2026 · 65 papersEmploymentcurrent🎓Peking UniversityBeijing · China2012–2024 · 5 papers🏢BaiduBeijing · China2018–2020 · 5 papers🎓Georgia Institute of TechnologyAtlanta · United States2012–2013 · 4 papersEducation🎓University of Wisconsin SystemMadison · United States2015–2021 · 2 papers🎓Oregon State UniversityCorvallis · United States2018–2019 · 2 papers🎓Hong Kong University of Science and TechnologyHong Kong · ChinaEducation

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 Science Applications · 1 workInformation Systems · 1 work

🧭 Topics 1Research subjects and languages the work is about.Machine translation · 1 work

 Works by year

2020s

20251 paper

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. STACL: Simultaneous Translation with Implicit Anticipation and Controllable Latency using Prefix-to-Prefix Framework (2019 · 350 citations)
    Simultaneous machine translation must produce output while the speaker is still talking. Word-order mismatches make this hard: when translating an SOV language such as German into an SVO language such as English, the system may need to wait for a verb at the end of the sentence. Earlier systems, such as the…
  2. Seed-Coder: Let the Code Model Curate Data for Itself (2025 · 25 citations)
    Open code LLMs usually build their pretraining corpora with human-designed heuristics, such as per-language filtering rules or quality classifiers trained on human labels.

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. STACL: Simultaneous Translation with Implicit Anticipation and Controllable Latency using Prefix-to-Prefix FrameworkAnnual Meeting of the Association for Computational Linguistics (ACL)Mingbo Ma, Liang Huang, Hao Xiong, et al.2019 · 350 citations
  2. Incremental Text-to-Speech Synthesis with Prefix-to-Prefix Framework ↗Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yetMingbo Ma et al.2020 · 29 citations
  3. Seed-Coder: Let the Code Model Curate Data for ItselfarXiv:2506.03524ByteDance Seed, Yuyu Zhang, Jing Su, et al.2025 · 25 citations
  4. Fluent and Low-latency Simultaneous Speech-to-Speech Translation with Self-adaptive Training ↗Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yetRenjie Zheng et al.2020 · 20 citations

 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 207 times (of the 149,439 papers whose bibliographies we read); 20 citing papers with a page here →.

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