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Mingdao Liu

Mingdao Liu has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Dialogue systems, Speech & spoken language; often with Aohan Zeng, Jie Tang, Yuxiao Dong.

2 papers in our library · 2023–2024

OpenAlex · ORCID · h-index 6 · 12 works · 297 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 850 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4554

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 · China2023–2024 · 5 papers🎓Shanghai Jiao Tong UniversityShanghai · China2009–2018 · 5 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 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.Dialogue systems · 1 workLanguage models & pretraining · 1 workSpeech & spoken language · 1 work

 Works by year

2020s

20241 paperMingdao Liu's papers of 202420231 paperMingdao Liu's papers of 2023

 Papers

The most cited first (OpenAlex and our library).

  1. AgentTuning: Enabling Generalized Agent Abilities for LLMs (2023 · 158 citations)
    Open LLMs such as Llama 2 perform well on standard NLP benchmarks but fall far behind GPT-3.5 and GPT-4 when used as autonomous agents that plan, call tools and interact with environments.
  2. 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)…

All works

3 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. AgentTuning: Enabling Generalized Agent Abilities for LLMsarXiv:2310.12823Aohan Zeng, Mingdao Liu, Rui Lu, et al.2023 · 158 citations
  2. GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken ChatbotarXiv:2412.02612Aohan Zeng, Zhengxiao Du, Mingdao Liu, et al.2024 · 65 citations
  3. Scaling Speech-Text Pre-training with Synthetic Interleaved Data ↗arXiv:2411.17607 · no summary yetAohan Zeng et al.2024 · 12 citations

 Co-authors here

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

 Cited by

Papers of our library cite their works 850 times (of the 141,840 papers whose bibliographies we read); 34 citing papers with a page here →.

Updated

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