---
title: "Tongyao Zhu — author profile and papers — Elamur Research"
description: "Tongyao Zhu, National University of Singapore: 2 papers on Elamur Research (2026), h-index 2 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/tongyao-zhu/"
---
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# Tongyao Zhu

Tongyao Zhu has 2 papers in our library, in 2026, most of them on [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Chang Ma](https://md.research.elamur.ai/free/en/authors/chang-ma/), [Jinghan Zhang](https://md.research.elamur.ai/free/en/authors/jinghan-zhang/), [Junxian He](https://md.research.elamur.ai/free/en/authors/junxian-he/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5091381195) · [**h-index 2**](https://openalex.org/authors/A5091381195) · [14 works](https://openalex.org/works?filter=author.id:A5091381195) · [51 citations](https://openalex.org/works?filter=author.id:A5091381195&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/tongyao-zhu/#papers) · [⭐ Paper Stars ranking: #13963](https://md.research.elamur.ai/free/en/paper-stars/page/140/#star-13963)

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

## Affiliations

[🎓**National University of Singapore** Singapore · Singapore 2021–2026 · 10 papers*current*](https://md.research.elamur.ai/free/en/universities/national-university-of-singapore/)

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).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 3 Research subjects and languages the work is about.[Multilingual & cross-lingual NLP · 2 works](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [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/tongyao-zhu/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[How Can Synthetic Data Improve Multilingual Language Model Pretraining? A Data Quality Perspective](https://md.research.elamur.ai/free/en/papers/zhu-2026-how-can-synthetic-data-improve/)** *(2026)* Multilingual LLMs perform poorly in low-resource languages. The authors argue the main gap is not token volume but how little world knowledge the available text contains. They trained 1.1B TinyLlama models from scratch on noisy MADLAD-400 web data in six languages, all with the same token budget. Scores on simpler…
2. **[When Does Mixing Help? Analyzing Query Embedding Interpolation in Multilingual Dense Retrieval](https://md.research.elamur.ai/free/en/papers/zhu-2026-when-does-mixing-help-analyzing/)** *(2026)* Mixed-language queries are common among multilingual users, yet standard retrieval benchmarks only test monolingual or fully translated queries.

## Co-authors here

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

- [Chang Ma](https://md.research.elamur.ai/free/en/authors/chang-ma/)
- [Jinghan Zhang](https://md.research.elamur.ai/free/en/authors/jinghan-zhang/)
- [Junxian He](https://md.research.elamur.ai/free/en/authors/junxian-he/)
- [Longxu Dou](https://md.research.elamur.ai/free/en/authors/longxu-dou/)
- [Min-Yen Kan](https://md.research.elamur.ai/free/en/authors/min-yen-kan/)
- [Qian Liu](https://md.research.elamur.ai/free/en/authors/qian-liu/)
- [Shiqi Chen](https://md.research.elamur.ai/free/en/authors/shiqi-chen/)

## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2

Updated 2 November 2026
