---
title: "Yilong Wu · Fudan University — author profile and papers"
description: "Yilong Wu, Fudan University: 2 papers on Elamur Research (2025–2026), h-index 5 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/yilong-wu/"
---
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# Yilong Wu

Yilong Wu has 2 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Caishuang Huang](https://md.research.elamur.ai/free/en/authors/caishuang-huang/), [Junjie Ye](https://md.research.elamur.ai/free/en/authors/junjie-ye/), [Qi Zhang](https://md.research.elamur.ai/free/en/authors/qi-zhang/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5100864237) · [ORCID](https://orcid.org/0009-0000-7948-3540) · [**h-index 5**](https://openalex.org/authors/A5100864237) · [19 works](https://openalex.org/works?filter=author.id:A5100864237) · [116 citations](https://openalex.org/works?filter=author.id:A5100864237&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yilong-wu/#papers) · [🔗 Cited 40 times in our library](https://md.research.elamur.ai/free/en/authors/yilong-wu/cited-by/) · [⭐ Paper Stars ranking: #8146](https://md.research.elamur.ai/free/en/paper-stars/page/82/#star-8146)

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

## Affiliations

[🎓**Fudan University** Shanghai · China 2024–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🏢**China Nonferrous Metal Mining** Beijing · China 2025–2026 · 3 papersEmployment*current*](https://ror.org/03q3jnq04) · [🎓**Xi'an Technological University** Xi'an · China 2011–2012 · 4 papers](https://ror.org/01t8prc81)

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 7 The field of science this work belongs to (OpenAlex fields).[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/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Control and Systems Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/control-and-systems-engineering/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](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** 1 paper](https://md.research.elamur.ai/free/en/authors/yilong-wu/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yilong-wu/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios](https://md.research.elamur.ai/free/en/papers/ye-2025-tooleyes-fine-grained-evaluation-tool/)** *(2025 · 35 citations)* Most benchmarks for tool use by large language models only check whether a model picks the expected API. That approach works only when correct answers can be fixed in advance, and it reveals little about the skills behind successful tool use. ToolEyes addresses both gaps. The authors define seven realistic scenarios…
2. **[MulDimIF: A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language Models](https://md.research.elamur.ai/free/en/papers/ye-2026-muldimif-multi-dimensional-constraint-framework/)** *(2026 · 4 citations)* Most instruction-following benchmarks for LLMs vary only the type of constraint. They say little about how constraints are phrased or how hard their combinations are, and they offer little insight into how to improve models. MulDimIF addresses this with a framework that describes each instruction along three axes…

## Co-authors here

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

- [Caishuang Huang](https://md.research.elamur.ai/free/en/authors/caishuang-huang/) ×2
- [Junjie Ye](https://md.research.elamur.ai/free/en/authors/junjie-ye/) ×2
- [Qi Zhang](https://md.research.elamur.ai/free/en/authors/qi-zhang/) ×2
- [Tao Gui](https://md.research.elamur.ai/free/en/authors/tao-gui/) ×2
- [Meng Zhou](https://md.research.elamur.ai/free/en/authors/meng-zhou/)
- [Peng Wang](https://md.research.elamur.ai/free/en/authors/peng-wang/)
- [Shihan Dou](https://md.research.elamur.ai/free/en/authors/shihan-dou/)
- [SongYang Gao](https://md.research.elamur.ai/free/en/authors/songyang-gao/)
- [Tao Ji](https://md.research.elamur.ai/free/en/authors/tao-ji/)
- [Xiaoran Fan](https://md.research.elamur.ai/free/en/authors/xiaoran-fan/)
- [Xuanjing Huang](https://md.research.elamur.ai/free/en/authors/xuanjing-huang/)

## 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/)
- [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/)
- [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/)

## Cited by

Papers of our library cite their works 40 times (of the 149,439 papers whose bibliographies we read); [12 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yilong-wu/cited-by/).

Updated 31 October 2026
