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Aonian Li

Aonian Li has 2 papers in our library, in 2025, most of them on Language models & pretraining, Reasoning; often with Bangwei Gong, Bo Yang, Boji Shan.

2 papers in our library · 2025

OpenAlex · ORCID · h-index 5 · 14 works · 350 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 116 times in our library · ⭐ Paper Stars ranking: #6608

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

🏥Guangdong Academy of Medical SciencesGuangzhou · China2025 · 1 papercurrent🏥Guangdong Provincial People's HospitalGuangzhou · China2025 · 1 papercurrent🎓Nanjing University of Posts and TelecommunicationsNanjing · China2025 · 1 papercurrent🎓Shandong University of TechnologyZibo · China2025 · 1 papercurrent🎓Southern Medical UniversityGuangzhou · China2025 · 1 papercurrent🎓University of Shanghai for Science and TechnologyShanghai · China2025 · 1 papercurrent🏛️Chinese Academy of SciencesBeijing · China2024 · 2 papers🔬Institute of AutomationBeijing · China2024 · 2 papers🎓University of Chinese Academy of SciencesBeijing · China2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 workComputer Vision and Pattern Recognition · 1 work

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

 Works by year

2020s

20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention (2025 · 66 citations)
    Reasoning models get better when they generate longer chains of thought. Standard softmax attention, however, has quadratic cost in sequence length, which makes long outputs expensive. MiniMax-M1 tackles this with an open-weight reasoning model built on a hybrid design. It starts from MiniMax-Text-01, a…
  2. MiniMax-01: Scaling Foundation Models with Lightning Attention (2025 · 50 citations)
    Most current LLMs and VLMs handle 32K–256K tokens of context. That is often too little for tasks like reading whole books, working across entire code repositories, or many-shot in-context learning. The main obstacle is that softmax attention cost grows quadratically with length. MiniMax-01 addresses this with a…

 Co-authors here

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

 Cited by

Papers of our library cite their works 116 times (of the 149,439 papers whose bibliographies we read); 38 citing papers with a page here →.

Updated

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