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Yue Gu

Yue Gu has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining, Speech & spoken language, Multilingual & cross-lingual NLP; often with Aram Galstyan, Fan Yang, Hangrui Hu.

2 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 5 · 13 works · 172 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 175 times in our library · ⭐ Paper Stars ranking: #8075

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

🏥The Affiliated Yongchuan Hospital of Chongqing Medical UniversityChongqing · China2024–2026 · 3 paperscurrent🎓Chongqing Medical UniversityChongqing · China2026 · 1 papercurrent🎓Nanjing Medical UniversityNanjing · China2018–2023 · 5 papers🏥Nanjing First HospitalNanjing · China2020 · 3 papers🎓Shandong University of Traditional Chinese MedicineJinan · China2025 · 2 papers🏢Alibaba GroupHangzhou · China2024 · 2 papers

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 9The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArts and Humanities · 1 workMedicine · 1 workArtificial Intelligence · 2 worksLanguage and Linguistics · 1 workPhysiology · 1 workSignal Processing · 1 workInformation Systems · 1 workSoftware · 1 work

🧭 Topics 4Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 1 workSpeech & spoken language · 1 workEvaluation & benchmarks · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens (2024 · 93 citations)
    LLM-based zero-shot text-to-speech systems usually rely on speech tokens learned without supervision. Such tokens carry little explicit semantic content and align poorly with text. The authors, from Alibaba's Speech Lab, address this with a supervised semantic speech (S3) tokenizer. They take a multilingual ASR…
  2. AutoSUIT Bench - Automated Security UnIt Test Benchmark for LLM Coding (2026)
    Benchmarks that check whether LLM-written code is secure tend to rely on one of two approaches. Some use static analyzers such as CodeQL, which make many errors. Others use hand-written security tests, which limits them to a few dozen of the most common CWE categories. AutoSUIT addresses both problems with an…

 Co-authors here

12 of 17 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 175 times (of the 149,439 papers whose bibliographies we read); 51 citing papers with a page here →.

Updated

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