---
title: "Yuanjie Lyu — author profile and papers — Elamur Research"
description: "Yuanjie Lyu, University of Science and Technology of China: 2 papers on Elamur Research (2026), h-index 4 — affiliations, topics, co-authors…"
canonical: "https://research.elamur.ai/free/en/authors/yuanjie-lyu/"
---
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# Yuanjie Lyu

Yuanjie Lyu 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 [Chengyu Wang](https://md.research.elamur.ai/free/en/authors/chengyu-wang/), [Jun Huang](https://md.research.elamur.ai/free/en/authors/jun-huang/), [Lei Shen](https://md.research.elamur.ai/free/en/authors/lei-shen/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5069135844) · [ORCID](https://orcid.org/0009-0001-2628-334X) · [Wikidata](https://www.wikidata.org/wiki/Q131019253) · [**h-index 4**](https://openalex.org/authors/A5069135844) · [21 works](https://openalex.org/works?filter=author.id:A5069135844) · [130 citations](https://openalex.org/works?filter=author.id:A5069135844&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yuanjie-lyu/#papers) · [🔗 Cited 1 time in our library](https://md.research.elamur.ai/free/en/authors/yuanjie-lyu/cited-by/) · [⭐ Paper Stars ranking: #11751](https://md.research.elamur.ai/free/en/paper-stars/page/118/#star-11751)

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

## Affiliations

[🎓**University of Science and Technology of China** Hefei · China 2022–2026 · 16 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🏢**Alibaba Group** Hangzhou · China 2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/)

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 4 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/)

🧭 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

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

## Papers

The most cited first (OpenAlex and our library).

1. **[Mock Worlds, Real Skills: Building Small Agentic Language Models with Synthetic Tasks, Simulated Environments, and Rubric-Based Rewards](https://md.research.elamur.ai/free/en/papers/lyu-2026-mock-worlds-real-skills-building/)** *(2026 · 1 citation)* Small language models usually lag well behind large, expensive LLMs on agentic tool-use tasks. Reinforcement learning could help, but two obstacles hold it back. Public agentic datasets are narrow and often too easy, so RL rollouts give little learning signal. Real APIs are also costly, unstable and limited in scope.…
2. **[AgenticQwen: Training Small Agentic Language Models with Dual Data Flywheels for Industrial-Scale Tool Use](https://md.research.elamur.ai/free/en/papers/lyu-2026-agenticqwen-training-small-agentic-language/)** *(2026)* Industrial agent systems often run on large proprietary or open models, which costs too much at scale. Major labs rarely release small models with strong tool-use skills. This Alibaba paper presents AgenticQwen, a family of compact agents that use small Qwen models as their foundation. Their training relies on…

## Co-authors here

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

- [Chengyu Wang](https://md.research.elamur.ai/free/en/authors/chengyu-wang/) ×2
- [Jun Huang](https://md.research.elamur.ai/free/en/authors/jun-huang/) ×2
- [Lei Shen](https://md.research.elamur.ai/free/en/authors/lei-shen/)
- [Ming Wang](https://md.research.elamur.ai/free/en/authors/ming-wang/)
- [Tong Xu](https://md.research.elamur.ai/free/en/authors/tong-xu/)
- [Yuanhao Yue](https://md.research.elamur.ai/free/en/authors/yuanhao-yue/)

## 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

## 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/yuanjie-lyu/cited-by/).

Updated 1 November 2026
