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Shengmin Jiang

Shengmin Jiang has 2 papers in our library, in 2024, most of them on Language models & pretraining, Dialogue systems, Speech & spoken language; often with Aohan Zeng, Jie Tang, Mingdao Liu.

2 papers in our library · 2024

OpenAlex · h-index 1 · 4 works · 5 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 75 times in our library · ⭐ Paper Stars ranking: #7168

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

🎓Tsinghua UniversityBeijing · China2024 · 1 papercurrent🏢Zhipu AIBeijing · China2024 · 1 papercurrent🎓Harbin Institute of TechnologyHarbin · China2019 · 2 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 · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 2 worksDialogue systems · 1 workSpeech & spoken language · 1 work

 Works by year

2020s

20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot (2024 · 65 citations)
    Conventional spoken assistants chain ASR, an LLM and TTS. This design adds latency, compounds recognition and synthesis errors, and struggles to express emotion. Existing end-to-end alternatives either have too little speech data or skip speech pre-training entirely. GLM-4-Voice is a bilingual (Chinese/English)…
  2. Scaling Speech-Text Pre-training with Synthetic Interleaved Data (2024 · 14 citations)
    Speech language models (SpeechLMs) have far less training material than text LLMs. FineWeb offers about 15T text tokens, while a large unsupervised speech set like VoxPopuli gives only around 36B tokens. Parallel speech-text data is also limited. The authors work around this by creating speech-text interleaved…

 Co-authors here

8 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 75 times (of the 149,439 papers whose bibliographies we read); 23 citing papers with a page here →.

Updated

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