---
title: "Tianyi Niu — author profile and papers — Elamur Research"
description: "Tianyi Niu, University of North Carolina at Chapel Hill: 2 papers on Elamur Research (2026), h-index 2 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/tianyi-niu/"
---
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# Tianyi Niu

Tianyi 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/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Elias Stengel-Eskin](https://md.research.elamur.ai/free/en/authors/elias-stengel-eskin/), [Mohit Bansal](https://md.research.elamur.ai/free/en/authors/mohit-bansal/), [Genta Indra Winata](https://md.research.elamur.ai/free/en/authors/genta-indra-winata/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5118729700) · [ORCID](https://orcid.org/0009-0009-0138-1419) · [**h-index 2**](https://openalex.org/authors/A5118729700) · [8 works](https://openalex.org/works?filter=author.id:A5118729700) · [8 citations](https://openalex.org/works?filter=author.id:A5118729700&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/tianyi-niu/#papers) · [⭐ Paper Stars ranking: #13157](https://md.research.elamur.ai/free/en/paper-stars/page/132/#star-13157)

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

## Affiliations

[🎓**University of North Carolina at Chapel Hill** Chapel Hill · United States 2025–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-north-carolina-at-chapel-hill/)

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).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

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

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[RotBench: Evaluating Multi-modal Large Language Models on Identifying Image Rotation](https://md.research.elamur.ai/free/en/papers/niu-2026-rotbench-evaluating-multi-modal-large/)** *(2026 · 1 citation)* The paper asks whether multimodal LLMs can tell how far an image has been turned counter-clockwise: 0°, 90°, 180°, or 270°.
2. **[Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert Selection](https://md.research.elamur.ai/free/en/papers/niu-2026-routing-generated-data-annotation-free/)** *(2026)* LLM routers choose which model in a pool should handle a given query. Most existing routers learn from human-labelled, in-domain data, which is often unavailable when real user traffic is varied and unpredictable. The authors propose Routing with Generated Data (RGD). In this setting, a generator LLM writes queries…

## Co-authors here

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

- [Elias Stengel-Eskin](https://md.research.elamur.ai/free/en/authors/elias-stengel-eskin/) ×2
- [Mohit Bansal](https://md.research.elamur.ai/free/en/authors/mohit-bansal/) ×2
- [Genta Indra Winata](https://md.research.elamur.ai/free/en/authors/genta-indra-winata/)
- [Justin Chen](https://md.research.elamur.ai/free/en/authors/justin-chen/)
- [Shi-Xiong Zhang](https://md.research.elamur.ai/free/en/authors/shi-xiong-zhang/)
- [Yue Zhang](https://md.research.elamur.ai/free/en/authors/yue-zhang/)

## 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 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/)

Updated 1 November 2026
