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Xinyao Niu

Xinyao Niu has 2 papers in our library, in 2024, most of them on Language models & pretraining; often with Xiang Yue, Hannaneh Hajishirzi, Hao Peng.

2 papers in our library · 2024

OpenAlex · h-index 3 · 11 works · 87 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 518 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4697

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

🏢Alibaba GroupHangzhou · China2025–2026 · 3 paperscurrent🎓The University of MelbourneMelbourne · Australia2024 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 workSafety Research · 1 workSocial Sciences · 1 work

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

 Works by year

2020s

20242 papersXinyao Niu's papers of 2024

 Papers

The most cited first (OpenAlex and our library).

  1. Data Engineering for Scaling Language Models to 128K Context (2024 · 107 citations)
    Open-source LLMs that claim support for 100K+ tokens often fail the Needle-in-a-Haystack test, which checks whether a model can recall a fact hidden anywhere in a very long document.
  2. Machine Unlearning of Pre-trained Large Language Models (2024 · 84 citations)
    The paper addresses how to make a pre-trained large language model behave as if certain training documents had never been included, for example in response to copyright or privacy removal requests.

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. Data Engineering for Scaling Language Models to 128K ContextarXiv:2402.10171Yao Fu, Rameswar Panda, Xinyao Niu, et al.2024 · 107 citations
  2. Machine Unlearning of Pre-trained Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jin Yao, Eli Chien, Minxin Du, et al.2024 · 84 citations
  3. Yi-Lightning Technical Report ↗arXiv:2412.01253 · no summary yetAlan Wake et al.2024 · 11 citations

 Co-authors here

5 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 518 times (of the 141,840 papers whose bibliographies we read); 46 citing papers with a page here →.

Updated

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