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Kai Mei

Kai Mei has 2 papers in our library, in 2025, most of them on Language models & pretraining; often with Fan Yang, Haiyan Zhao, Jingyuan Huang.

2 papers in our library · 2025

OpenAlex · h-index 12 · 58 works · 352 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 218 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #5562

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

🎓Rutgers, The State University of New JerseyNew Brunswick · United States2023–2026 · 21 paperscurrent🏥First Affiliated Hospital of University of South ChinaHengyang · China2022–2026 · 3 paperscurrent🎓University of South ChinaHengyang · China2022–2026 · 3 paperscurrent🏢SalesforceSan Francisco · United States2026 · 1 papercurrent🏥Sichuan Cancer HospitalChengdu · China2008–2025 · 6 papers🎓Beijing University of Chinese MedicineBeijing · China2021–2022 · 5 papers🎓University of PennsylvaniaPhiladelphia · United States2024–2025 · 2 papers🎓South China University of TechnologyGuangzhou · China2023–2024 · 2 papers🎓Wuhan University of TechnologyWuhan · China2022–2023 · 2 papers🎓Sichuan UniversityChengdu · China2005–2011 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 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 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. A-MEM: Agentic Memory for LLM Agents (2025 · 178 citations)
    LLM agents need long-term memory to reuse past experience. Existing memory modules mostly just store and fetch records. Even graph-based designs such as Mem0 depend on fixed schemas and on read/write points that developers hard-code into the workflow, which makes them hard to adapt to new tasks.
  2. Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers? (2025 · 36 citations)
    The paper asks where inside a large language model knowledge of different difficulty becomes linearly readable.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. A-MEM: Agentic Memory for LLM AgentsConference on Neural Information Processing Systems (NeurIPS)Wujiang Xu, Zujie Liang, Kai Mei, et al.2025 · 178 citations
  2. War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars ↗arXiv:2311.17227 · no summary yetWenyue Hua et al.2023 · 54 citations
  3. Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?International Conference on Computational Linguistics (COLING)Mingyu Jin, Qinkai Yu, Jingyuan Huang, et al.2025 · 36 citations

 Co-authors here

12 of 14 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 218 times (of the 149,439 papers whose bibliographies we read); 67 citing papers with a page here →.

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