--- title: "Liqun Ma — author profile and papers — Elamur Research" description: "Liqun Ma, China Agricultural University: 3 papers on Elamur Research (2023–2026), h-index 21 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/liqun-ma/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/liqun-ma/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Liqun Ma # Liqun Ma Liqun Ma has 3 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Zhiqiang Shen](https://md.research.elamur.ai/free/en/authors/zhiqiang-shen/), [Bowen Tan](https://md.research.elamur.ai/free/en/authors/bowen-tan/), [Eric P. Xing](https://md.research.elamur.ai/free/en/authors/eric-p-xing/). 3 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5059333934) · [ORCID](https://orcid.org/0000-0003-2360-941X) · [**h-index 21**](https://openalex.org/authors/A5059333934) · [117 works](https://openalex.org/works?filter=author.id:A5059333934) · [1,460 citations](https://openalex.org/works?filter=author.id:A5059333934&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/liqun-ma/#papers) · [🔗 Cited 46 times in our library](https://md.research.elamur.ai/free/en/authors/liqun-ma/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #9171](https://md.research.elamur.ai/free/en/paper-stars/page/92/#star-9171) 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=Liqun+Ma) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Liqun+Ma) · [dblp](https://dblp.org/search?q=Liqun+Ma) · [ACL Anthology](https://aclanthology.org/search/?q=Liqun+Ma) ## Affiliations [🎓**China Agricultural University** Beijing · China 2021–2025 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/china-agricultural-university/) · [🎓**Nanjing Tech University** Nanjing · China 2006–2018 · 44 papers](https://ror.org/03sd35x91) · [🎓**Iowa State University** Ames · United States 2017–2021 · 14 papers](https://md.research.elamur.ai/free/en/universities/iowa-state-university/) · [🎓**Beihang University** Beijing · China 1999–2019 · 9 papers](https://md.research.elamur.ai/free/en/universities/beihang-university/) · [🎓**University at Albany, State University of New York** Albany · United States 1989–2013 · 5 papers](https://md.research.elamur.ai/free/en/universities/university-at-albany-state-university-of-new-york/) · [🎓**State University of New York** Albany · United States 1989–2012 · 4 papers](https://md.research.elamur.ai/free/en/universities/state-university-of-new-york/) · [🎓**Shandong University of Technology** Zibo · China 2022–2024 · 3 papers](https://ror.org/02mr3ar13) · [🎓**Beijing Institute of Technology** Beijing · China 2023 · 3 papers](https://md.research.elamur.ai/free/en/universities/beijing-institute-of-technology/) · [🔬**The Synergetic Innovation Center for Advanced Materials** Nanjing · China 2017–2018 · 3 papers](https://ror.org/05nzc1r88) · [🔬**Institute for Materials Research, Tohoku University** Sendai 2002–2007 · 3 papers](https://ror.org/04664mr26) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 11 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 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/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Statistics, Probability and Uncertainty · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/statistics-probability-and-uncertainty/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/liqun-ma/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/liqun-ma/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/liqun-ma/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[SlimPajama-DC: Understanding Data Combinations for LLM Training](https://md.research.elamur.ai/free/en/papers/shen-2023-slimpajama-dc-understanding-data-combinations/)** *(2023 · 38 citations)* Pretraining corpora for LLMs are usually built from several sources, such as web crawls, code, books, and Wikipedia. 2. **[FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation](https://md.research.elamur.ai/free/en/papers/ma-2024-fbi-llm-scaling-up-fully/)** *(2024 · 7 citations)* Binarizing LLMs down to pure 1-bit weights could greatly cut memory and compute. Earlier approaches fall short of that limit. Some keep salient weights at higher precision (PB-LLM, BiLLM), and BitNet b1.58 uses ternary values. Others start from a pretrained full-precision model, which locks in its size and vocabulary… 3. **[SCALAR: Scientific Citation-based Live Assessment of Long-context Academic Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-scalar-scientific-citation-based-live/)** *(2026)* Evaluating how well LLMs actually understand long documents is difficult. Synthetic retrieval tests such as needle-in-a-haystack are easy for current models, and benchmarks built from existing corpora risk contamination and allow shortcut answers. SCALAR addresses this with academic papers whose citations act as… ## All works 4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. [**SlimPajama-DC: Understanding Data Combinations for LLM Training arXiv:2309.10818**Zhiqiang Shen, Tianhua Tao, Liqun Ma, et al.*2023 · 38 citations*](https://md.research.elamur.ai/free/en/papers/shen-2023-slimpajama-dc-understanding-data-combinations/) 2. [**FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation arXiv:2407.07093**Liqun Ma, Mingjie Sun, Zhiqiang Shen*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/ma-2024-fbi-llm-scaling-up-fully/) 3. **[LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch ↗](https://arxiv.org/abs/2501.07124) arXiv (Cornell University) · no summary yet**Zhengzhong Liu et al.*2025 · 3 citations* 4. **[SCALAR: Scientific Citation-based Live Assessment of Long-context Academic Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-scalar-scientific-citation-based-live/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Renxi Wang, Honglin Mu, Liqun Ma, et al.*2026* ## Co-authors here 11 co-authors with a page, the most papers together first. - [Zhiqiang Shen](https://md.research.elamur.ai/free/en/authors/zhiqiang-shen/) ×2 - [Bowen Tan](https://md.research.elamur.ai/free/en/authors/bowen-tan/) - [Eric P. Xing](https://md.research.elamur.ai/free/en/authors/eric-p-xing/) - [Haonan Li](https://md.research.elamur.ai/free/en/authors/haonan-li/) - [Joel Hestness](https://md.research.elamur.ai/free/en/authors/joel-hestness/) - [Mingjie Sun](https://md.research.elamur.ai/free/en/authors/mingjie-sun/) - [Natalia Vassilieva](https://md.research.elamur.ai/free/en/authors/natalia-vassilieva/) - [Timothy Baldwin](https://md.research.elamur.ai/free/en/authors/timothy-baldwin/) - [Xudong Han](https://md.research.elamur.ai/free/en/authors/xudong-han/) - [Yunlong Feng](https://md.research.elamur.ai/free/en/authors/yunlong-feng/) - [Zhengzhong Liu](https://md.research.elamur.ai/free/en/authors/zhengzhong-liu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/) ## Cited by Papers of our library cite their works 46 times (of the 149,439 papers whose bibliographies we read); [18 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/liqun-ma/cited-by/). Updated 2 November 2026