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Bingshen Mu

Bingshen Mu has 2 papers in our library, in 2026, most of them on Language models & pretraining, Speech & spoken language, Multilingual & cross-lingual NLP; often with Chuang Ding, Hexin Liu, Jin Xu.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 7 · 32 works · 97 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #11120

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

🎓Northwestern Polytechnical UniversityXi'an · China2023–2026 · 25 paperscurrent🎓San Francisco Bay UniversityFremont · United States2026 · 3 paperscurrent🏢Alibaba GroupHangzhou · China2026 · 1 papercurrent

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.

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

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. LLM-ForcedAligner: A Non-Autoregressive and Accurate LLM-Based Forced Aligner for Multilingual and Long-Form Speech (2026 · 2 citations)
    Forced alignment (FA) assigns start and end times to each word or character of a known transcript. Existing aligners such as MFA, NFA, CIF and WhisperX depend on language-specific resources and tend to drift on long recordings. Speech LLMs that generate timestamps token by token can hallucinate and run slowly. The…
  2. WenetSpeech-Wu: Datasets, Benchmarks, and Models for a Unified Chinese Wu Dialect Speech Processing Ecosystem (2026)
    Wu Chinese has roughly 100 million speakers and is linguistically complex, with voiced initials and intricate tone sandhi.

 Co-authors here

8 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 1 time (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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