--- title: "Shaolei Zhang — author profile and papers — Elamur Research" description: "Shaolei Zhang, Chinese Academy of Sciences: 4 papers on Elamur Research (2023–2025), h-index 10 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/shaolei-zhang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/shaolei-zhang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Shaolei Zhang # Shaolei Zhang Shaolei Zhang has 4 papers in our library, in 2023–2025, 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 [Yang Feng](https://md.research.elamur.ai/free/en/authors/yang-feng/), [Qingkai Fang](https://md.research.elamur.ai/free/en/authors/qingkai-fang/), [Yan Zhou](https://md.research.elamur.ai/free/en/authors/yan-zhou/). 4 papers in our library · 2023–2025 [OpenAlex](https://openalex.org/A5031466943) · [ORCID](https://orcid.org/0000-0002-7254-9380) · [**h-index 10**](https://openalex.org/authors/A5031466943) · [33 works](https://openalex.org/works?filter=author.id:A5031466943) · [226 citations](https://openalex.org/works?filter=author.id:A5031466943&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/shaolei-zhang/#papers) · [🔗 Cited 220 times in our library](https://md.research.elamur.ai/free/en/authors/shaolei-zhang/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5945](https://md.research.elamur.ai/free/en/paper-stars/page/60/#star-5945) 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=Shaolei+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shaolei+Zhang) · [dblp](https://dblp.org/search?q=Shaolei+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Shaolei+Zhang) ## Affiliations [🏛️**Chinese Academy of Sciences** Beijing · China 2021–2025 · 38 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Computing Technology** Beijing · China 2021–2025 · 38 papers*current*](https://md.research.elamur.ai/free/en/labs/institute-of-computing-technology/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2021–2025 · 26 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🎓**Renmin University of China** Beijing · China 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/renmin-university-of-china/) 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 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Signal Processing · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 4 Research subjects and languages the work is about.[Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Language models & pretraining · 1 work](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/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/shaolei-zhang/year/2025/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/shaolei-zhang/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/shaolei-zhang/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[LLaMA-Omni: Seamless Speech Interaction with Large Language Models](https://md.research.elamur.ai/free/en/papers/fang-2024-llama-omni-seamless-speech-interaction/)** *(2024 · 91 citations)* Commercial systems such as GPT-4o allow spoken, real-time conversations with LLMs, but there is little open work on building similar speech interfaces on top of open-source LLMs. 2. **[BayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2023-bayling-bridging-cross-lingual-alignment/)** *(2023 · 85 citations)* Most large language models are trained mainly on English text and English instructions, so they perform worse in other languages. 3. **[TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space](https://md.research.elamur.ai/free/en/papers/zhang-2024-truthx-alleviating-hallucinations-editing-large/)** *(2024 · 57 citations)* LLMs sometimes give fluent but false answers even when their parameters hold the correct facts. TruthX is an inference-time method that reduces such hallucinations by editing the model's hidden activations. The authors build triplets of a question, a truthful answer and an untruthful answer, feed both versions to the… 4. **[LLaMA-Omni 2: LLM-based Real-time Spoken Chatbot with Autoregressive Streaming Speech Synthesis](https://md.research.elamur.ai/free/en/papers/fang-2025-llama-omni-2-llm-based/)** *(2025 · 20 citations)* The paper addresses how to build a spoken chatbot that is smart, responds quickly, and sounds natural, without the huge speech corpora that native SpeechLMs need. ## All works 5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them. 1. [**LLaMA-Omni: Seamless Speech Interaction with Large Language Models arXiv:2409.06666**Qingkai Fang, Shoutao Guo, Yan Zhou, et al.*2024 · 91 citations*](https://md.research.elamur.ai/free/en/papers/fang-2024-llama-omni-seamless-speech-interaction/) 2. [**BayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language Models arXiv:2306.10968**Shaolei Zhang, Qingkai Fang, Zhuocheng Zhang, et al.*2023 · 85 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-bayling-bridging-cross-lingual-alignment/) 3. **[TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space](https://md.research.elamur.ai/free/en/papers/zhang-2024-truthx-alleviating-hallucinations-editing-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shaolei Zhang, Tian Yu, Yang Feng*2024 · 57 citations* 4. **[LLaMA-Omni 2: LLM-based Real-time Spoken Chatbot with Autoregressive Streaming Speech Synthesis](https://md.research.elamur.ai/free/en/papers/fang-2025-llama-omni-2-llm-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qingkai Fang, Yan Zhou, Shoutao Guo, et al.*2025 · 20 citations* 5. **[Turning Fixed to Adaptive: Integrating Post-Evaluation into Simultaneous Machine Translation ↗](https://aclanthology.org/2022.findings-emnlp.167/) Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yet**Shoutao Guo, Shaolei Zhang, Yang Feng*2022 · 19 citations* ## Co-authors here 6 co-authors with a page, the most papers together first. - [Yang Feng](https://md.research.elamur.ai/free/en/authors/yang-feng/) ×4 - [Qingkai Fang](https://md.research.elamur.ai/free/en/authors/qingkai-fang/) ×3 - [Yan Zhou](https://md.research.elamur.ai/free/en/authors/yan-zhou/) ×3 - [Shoutao Guo](https://md.research.elamur.ai/free/en/authors/shoutao-guo/) ×2 - [Zhengrui Ma](https://md.research.elamur.ai/free/en/authors/zhengrui-ma/) ×2 - [Xilin Chen](https://md.research.elamur.ai/free/en/authors/xilin-chen/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/), [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/) - Findings of the Association for Computational Linguistics: EMNLP 2022 ## Cited by Papers of our library cite their works 220 times (of the 149,439 papers whose bibliographies we read); [56 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/shaolei-zhang/cited-by/). Updated 2 November 2026