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Liqun Ma

Liqun Ma has 3 papers in our library, in 2023–2026, most of them on Language models & pretraining, Reasoning; often with Zhiqiang Shen, Bowen Tan, Eric P. Xing.

3 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 21 · 117 works · 1,460 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 46 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7953

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

🎓China Agricultural UniversityBeijing · China2021–2025 · 3 paperscurrent🎓Nanjing Tech UniversityNanjing · China2006–2018 · 44 papers🎓Iowa State UniversityAmes · United States2017–2021 · 14 papers🎓Beihang UniversityBeijing · China1999–2019 · 9 papers🎓University at Albany, State University of New YorkAlbany · United States1989–2013 · 5 papers🎓State University of New YorkAlbany · United States1989–2012 · 4 papers🎓Shandong University of TechnologyZibo · China2022–2024 · 3 papers🎓Beijing Institute of TechnologyBeijing · China2023 · 3 papers🔬The Synergetic Innovation Center for Advanced MaterialsNanjing · China2017–2018 · 3 papers🔬Institute for Materials Research, Tohoku UniversitySendai2002–2007 · 3 papers

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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 workDecision Sciences · 1 workStatistics, Probability and Uncertainty · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksReasoning · 1 work

 Works by year

2020s

20261 paper20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. SlimPajama-DC: Understanding Data Combinations for LLM Training (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 (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 (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 TrainingarXiv:2309.10818Zhiqiang Shen, Tianhua Tao, Liqun Ma, et al.2023 · 38 citations
  2. FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive DistillationarXiv:2407.07093Liqun Ma, Mingjie Sun, Zhiqiang Shen2024 · 7 citations
  3. LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch ↗arXiv (Cornell University) · no summary yetZhengzhong Liu et al.2025 · 3 citations
  4. SCALAR: Scientific Citation-based Live Assessment of Long-context Academic ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Renxi Wang, Honglin Mu, Liqun Ma, et al.2026

 Co-authors here

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

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 46 times (of the 149,439 papers whose bibliographies we read); 14 citing papers with a page here →.

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