---
title: "Yingfeng Luo — author profile and papers — Elamur Research"
description: "Yingfeng Luo, Northeastern University: 3 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/yingfeng-luo/"
---
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# Yingfeng Luo

Yingfeng Luo has 3 papers in our library, in 2026, most of them on [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Jingbo Zhu](https://md.research.elamur.ai/free/en/authors/jingbo-zhu/), [Tong Xiao](https://md.research.elamur.ai/free/en/authors/tong-xiao/), [Bei Li](https://md.research.elamur.ai/free/en/authors/bei-li/).

3 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139758678) · [ORCID](https://orcid.org/0009-0001-3312-9180) · [**h-index 0**](https://openalex.org/authors/A5139758678) · [8 works](https://openalex.org/works?filter=author.id:A5139758678) · [0 citations](https://openalex.org/works?filter=author.id:A5139758678&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yingfeng-luo/#papers) · [⭐ Paper Stars ranking: #11860](https://md.research.elamur.ai/free/en/paper-stars/page/119/#star-11860)

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

## Affiliations

[🎓**Northeastern University** Shenyang · China 2026 · 7 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/northeastern-university-cn/)

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 · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 works](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 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/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Machine translation · 1 work](https://md.research.elamur.ai/free/en/topics/machine-translation/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/yingfeng-luo/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[BIASEDTALES-ML: A Multilingual Dataset for Analyzing Narrative Attribute Distributions in LLM-Generated Stories](https://md.research.elamur.ai/free/en/papers/ouyang-2026-biasedtales-ml-multilingual-dataset-analyzing/)** *(2026)* Most studies of social bias in LLMs are English-only and rely on short-form probes. It is therefore unclear whether the attribute patterns seen in English long-form generation carry over to other languages. To test this, the authors built BIASEDTALES-ML, a parallel collection of about 350k children's stories. Three…
2. **[NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs](https://md.research.elamur.ai/free/en/papers/luo-2026-niutrans-lmt-inclusive-scalable-multilingual/)** *(2026)* The paper addresses how to adapt LLMs for translation across many languages without quality collapsing in some directions.
3. **[RouteLMT: Learned Sample Routing for Hybrid LLM Translation Deployment](https://md.research.elamur.ai/free/en/papers/luo-2026-routelmt-learned-sample-routing-hybrid/)** *(2026)* Serving every translation request with a large LLM is too costly for industrial systems. Hybrid setups therefore send most traffic to a small model and escalate only some inputs to a large one. The authors treat this escalation decision as spending a fixed budget of large-model calls. They argue that requests should…

## Co-authors here

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

- [Jingbo Zhu](https://md.research.elamur.ai/free/en/authors/jingbo-zhu/) ×3
- [Tong Xiao](https://md.research.elamur.ai/free/en/authors/tong-xiao/) ×3
- [Bei Li](https://md.research.elamur.ai/free/en/authors/bei-li/) ×2
- [DingYang Lin](https://md.research.elamur.ai/free/en/authors/dingyang-lin/) ×2
- [Kaiyan Chang](https://md.research.elamur.ai/free/en/authors/kaiyan-chang/) ×2
- [Quan Du](https://md.research.elamur.ai/free/en/authors/quan-du/) ×2
- [Yuxuan Ouyang](https://md.research.elamur.ai/free/en/authors/yuxuan-ouyang/) ×2
- [Chenglong Wang](https://md.research.elamur.ai/free/en/authors/chenglong-wang/)
- [MuRun Yang](https://md.research.elamur.ai/free/en/authors/murun-yang/)

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

Updated 1 November 2026
