---
title: "Simin Niu — author profile and papers — Elamur Research"
description: "Simin Niu, Renmin University of China: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/simin-niu/"
---
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# Simin Niu

Simin Niu has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Daiting Shi](https://md.research.elamur.ai/free/en/authors/daiting-shi/), [Long Xia](https://md.research.elamur.ai/free/en/authors/long-xia/), [Peiying Yu](https://md.research.elamur.ai/free/en/authors/peiying-yu/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139775268) · [**h-index 1**](https://openalex.org/authors/A5139775268) · [12 works](https://openalex.org/works?filter=author.id:A5139775268) · [1 citations](https://openalex.org/works?filter=author.id:A5139775268&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/simin-niu/#papers) · [🔗 Cited 1 time in our library](https://md.research.elamur.ai/free/en/authors/simin-niu/cited-by/) · [⭐ Paper Stars ranking: #11685](https://md.research.elamur.ai/free/en/paper-stars/page/117/#star-11685)

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

## Affiliations

[🎓**Renmin University of China** Beijing · China 2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/renmin-university-of-china/)

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 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

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

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/simin-niu/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[UniCreative: Unifying Long-form Logic and Short-form Sparkle via Reference-Free Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wei-2026-unicreative-unifying-long-form-logic/)** *(2026 · 1 citation)* LLM creative writing faces two opposite problems. Long stories and scripts need global planning, or they drift off topic, repeat themselves and lose structure. Short pieces such as poems, slogans or blessings get worse when forced through rigid outlines, and models already tend toward bland, high-probability wording.…
2. **[PibE-MPP: A Play-it-by-Ear Masking Performance Plug-in for LLMs](https://md.research.elamur.ai/free/en/papers/wang-2026-pibe-mpp-play-it-ear/)** *(2026)* Randomly masking parts of an LLM at inference time can sometimes improve task accuracy. It needs no training, no architectural changes, and leaves the model untouched for other tasks. The catch is that the improvement is unreliable: depending on the random draw, it may flip into a loss. The authors present PibE-MPP…

## Co-authors here

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

- [Daiting Shi](https://md.research.elamur.ai/free/en/authors/daiting-shi/)
- [Long Xia](https://md.research.elamur.ai/free/en/authors/long-xia/)
- [Peiying Yu](https://md.research.elamur.ai/free/en/authors/peiying-yu/)
- [Xiaolong Wei](https://md.research.elamur.ai/free/en/authors/xiaolong-wei/)
- [Xingyu Zhang](https://md.research.elamur.ai/free/en/authors/xingyu-zhang/)
- [Yuchen Li](https://md.research.elamur.ai/free/en/authors/yuchen-li/)
- [Zhejun Zhao](https://md.research.elamur.ai/free/en/authors/zhejun-zhao/)

## Venues

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

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2

## Cited by

Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/simin-niu/cited-by/).

Updated 1 November 2026
