--- title: "Shimin Li — author profile and papers — Elamur Research" description: "Shimin Li: 2 papers on Elamur Research (2023) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/shimin-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/shimin-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Shimin Li # Shimin Li Shimin Li has 2 papers in our library, in 2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/); often with [Dong Zhang](https://md.research.elamur.ai/free/en/authors/dong-zhang/), [Xin Zhang](https://md.research.elamur.ai/free/en/authors/xin-zhang/), [Xipeng Qiu](https://md.research.elamur.ai/free/en/authors/xipeng-qiu/). 2 papers in our library · 2023 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/shimin-li/#papers) · [🔗 Cited 198 times in our library](https://md.research.elamur.ai/free/en/authors/shimin-li/cited-by/) · [⭐ Paper Stars ranking: #3755](https://md.research.elamur.ai/free/en/paper-stars/page/38/#star-3755) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Shimin+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shimin+Li) · [dblp](https://dblp.org/search?q=Shimin+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Shimin+Li) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) 🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/) · [Tokenization & segmentation · 1 work](https://md.research.elamur.ai/free/en/topics/tokenization/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Subword tokenization · 1 work](https://md.research.elamur.ai/free/en/concepts/subword-tokenization/) ## Works by year ### 2020s [**2023** 2 papers Shimin Li's papers of 2023](https://md.research.elamur.ai/free/en/authors/shimin-li/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities](https://md.research.elamur.ai/free/en/papers/zhang-2023-speechgpt-empowering-large-language-models/)** *(2023 · 346 citations)* Most systems that let large language models talk chain separate ASR and TTS modules around a text LLM. This design keeps the LLM's knowledge from reaching the speech modality, discards cues such as emotion and prosody, and lets errors pile up between stages. SpeechGPT addresses this by converting speech into discrete… 2. **[SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2023-speechtokenizer-unified-speech-tokenizer-speech/)** *(2023 · 51 citations)* Speech large language models rely on discrete tokens of two kinds. Semantic tokens, such as k-means units from HuBERT, follow linguistic content but discard voice traits. Acoustic tokens from neural codecs like EnCodec retain audio detail but correspond poorly to text. The authors first build SLMTokBench, a benchmark… ## Co-authors here 5 co-authors with a page, the most papers together first. - [Dong Zhang](https://md.research.elamur.ai/free/en/authors/dong-zhang/) ×2 - [Xin Zhang](https://md.research.elamur.ai/free/en/authors/xin-zhang/) ×2 - [Xipeng Qiu](https://md.research.elamur.ai/free/en/authors/xipeng-qiu/) ×2 - [Yaqian Zhou](https://md.research.elamur.ai/free/en/authors/yaqian-zhou/) ×2 - [Jun Zhan](https://md.research.elamur.ai/free/en/authors/jun-zhan/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2023](https://md.research.elamur.ai/free/en/venues/findings/2023/) ## Cited by Papers of our library cite their works 198 times (of the 141,840 papers whose bibliographies we read); [17 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/shimin-li/cited-by/). Updated 24 October 2026