---
title: "Xinyao Niu · Alibaba Group — author profile and papers"
description: "Xinyao Niu, Alibaba Group: 2 papers on Elamur Research (2024), h-index 3 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/xinyao-niu/"
---
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# Xinyao Niu

Xinyao Niu has 2 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Xiang Yue](https://md.research.elamur.ai/free/en/authors/xiang-yue/), [Hannaneh Hajishirzi](https://md.research.elamur.ai/free/en/authors/hannaneh-hajishirzi/), [Hao Peng](https://md.research.elamur.ai/free/en/authors/hao-peng/).

2 papers in our library · 2024

[OpenAlex](https://openalex.org/A5102640150) · [**h-index 3**](https://openalex.org/authors/A5102640150) · [11 works](https://openalex.org/works?filter=author.id:A5102640150) · [87 citations](https://openalex.org/works?filter=author.id:A5102640150&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xinyao-niu/#papers) · [🔗 Cited 518 times in our library](https://md.research.elamur.ai/free/en/authors/xinyao-niu/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4697](https://md.research.elamur.ai/free/en/paper-stars/page/47/#star-4697)

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=Xinyao+Niu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xinyao+Niu) · [dblp](https://dblp.org/search?q=Xinyao+Niu) · [ACL Anthology](https://aclanthology.org/search/?q=Xinyao+Niu)

## Affiliations

[🏢**Alibaba Group** Hangzhou · China 2025–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🎓**The University of Melbourne** Melbourne · Australia 2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/the-university-of-melbourne/)

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

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2024** 2 papers Xinyao Niu's papers of 2024](https://md.research.elamur.ai/free/en/authors/xinyao-niu/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Data Engineering for Scaling Language Models to 128K Context](https://md.research.elamur.ai/free/en/papers/fu-2024-data-engineering-scaling-language-models/)** *(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](https://md.research.elamur.ai/free/en/papers/yao-2024-machine-unlearning-pre-trained-large/)** *(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 Context arXiv:2402.10171**Yao Fu, Rameswar Panda, Xinyao Niu, et al.*2024 · 107 citations*](https://md.research.elamur.ai/free/en/papers/fu-2024-data-engineering-scaling-language-models/)
2. **[Machine Unlearning of Pre-trained Large Language Models](https://md.research.elamur.ai/free/en/papers/yao-2024-machine-unlearning-pre-trained-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jin Yao, Eli Chien, Minxin Du, et al.*2024 · 84 citations*
3. **[Yi-Lightning Technical Report ↗](https://arxiv.org/abs/2412.01253) arXiv:2412.01253 · no summary yet**Alan Wake et al.*2024 · 11 citations*

## Co-authors here

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

- [Xiang Yue](https://md.research.elamur.ai/free/en/authors/xiang-yue/) ×2
- [Hannaneh Hajishirzi](https://md.research.elamur.ai/free/en/authors/hannaneh-hajishirzi/)
- [Hao Peng](https://md.research.elamur.ai/free/en/authors/hao-peng/)
- [Yao Fu](https://md.research.elamur.ai/free/en/authors/yao-fu/)
- [Yoon Kim](https://md.research.elamur.ai/free/en/authors/yoon-kim/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/)

## 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 →](https://md.research.elamur.ai/free/en/authors/xinyao-niu/cited-by/).

Updated 24 October 2026
