---
title: "Yue Feng · University of Birmingham — author profile and papers"
description: "Yue Feng, University of Birmingham: 3 papers on Elamur Research (2023–2026), h-index 10 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/yue-feng/"
---
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# Yue Feng

Yue Feng has 3 papers in our library, in 2023–2026, most of them on [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/); often with [Aldo Lipani](https://md.research.elamur.ai/free/en/authors/aldo-lipani/), [Dawei Yin](https://md.research.elamur.ai/free/en/authors/dawei-yin/), [Emine Yilmaz](https://md.research.elamur.ai/free/en/authors/emine-yilmaz/).

3 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5100381165) · [ORCID](https://orcid.org/0009-0006-0637-4646) · [**h-index 10**](https://openalex.org/authors/A5100381165) · [61 works](https://openalex.org/works?filter=author.id:A5100381165) · [240 citations](https://openalex.org/works?filter=author.id:A5100381165&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yue-feng/#papers) · [🔗 Cited 40 times in our library](https://md.research.elamur.ai/free/en/authors/yue-feng/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6749](https://md.research.elamur.ai/free/en/paper-stars/page/68/#star-6749)

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

## Affiliations

[🎓**University of Birmingham** Birmingham · United Kingdom 2024–2026 · 37 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-birmingham/) · [🏢**Baidu** Beijing · China 2018–2026 · 18 papers](https://md.research.elamur.ai/free/en/companies/baidu/) · [🎓**University College London** London · United Kingdom 2020–2024 · 17 papers](https://md.research.elamur.ai/free/en/universities/university-college-london/) · [🎓**Toronto Metropolitan University** Toronto · Canada 2021 · 2 papers](https://ror.org/05g13zd79) · [🎓**University of Electronic Science and Technology of China** Chengdu · China 2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-electronic-science-and-technology-of-china/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2018 · 2 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**University of Freiburg** Freiburg im Breisgau · Germany 2023Employment since 2023 · PhD student, University of Freiburg](https://md.research.elamur.ai/free/en/universities/university-of-freiburg/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 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/) · [Law · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/law/) · [Political Science and International Relations · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

🧭 Topics 5 Research subjects and languages the work is about.[Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Knowledge graphs & ontologies · 1 work](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Legal AI · 1 work](https://md.research.elamur.ai/free/en/topics/legal-ai/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/yue-feng/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yue-feng/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/yue-feng/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation](https://md.research.elamur.ai/free/en/papers/wang-2025-knowledge-graph-retrieval-augmented-generation/)** *(2025 · 77 citations)* LLM-based recommenders often hallucinate, for example by suggesting films that do not exist. They also lack recent and domain-specific knowledge, and retraining them often is expensive. Standard document-based RAG can help, but it brings in noisy text and ignores how entities relate to each other. The authors propose…
2. **[A Survey on Asking Clarification Questions Datasets in Conversational Systems](https://md.research.elamur.ai/free/en/papers/rahmani-2023-survey-asking-clarification-questions-datasets/)** *(2023 · 28 citations)* Research on asking clarification questions (ACQs) in conversational systems is hard to compare across studies.
3. **[From Query to Counsel: Structured Reasoning with a Multi-Agent Framework and Dataset for Legal Consultation](https://md.research.elamur.ai/free/en/papers/lu-2026-query-counsel-structured-reasoning-multi/)** *(2026)* The paper targets legal consultation question answering (Legal CQA). In this task, ordinary users describe personal legal problems in vague, informal language, and the system must return grounded, actionable advice under Chinese law. The authors identify three obstacles: scarce realistic training data, tasks made of…

## All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. **[Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation](https://md.research.elamur.ai/free/en/papers/wang-2025-knowledge-graph-retrieval-augmented-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shijie Wang, Wenqi Fan, Yue Feng, et al.*2025 · 77 citations*
2. **[A Survey on Asking Clarification Questions Datasets in Conversational Systems](https://md.research.elamur.ai/free/en/papers/rahmani-2023-survey-asking-clarification-questions-datasets/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hossein A. Rahmani, Xi Wang, Yue Feng, et al.*2023 · 28 citations*
3. **[From Query to Counsel: Structured Reasoning with a Multi-Agent Framework and Dataset for Legal Consultation](https://md.research.elamur.ai/free/en/papers/lu-2026-query-counsel-structured-reasoning-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mingfei Lu, Yi Zhang, Mengjia Wu, et al.*2026*
4. **[Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili ↗](https://aclanthology.org/2026.mellm-1.17/) Proceedings of the 1st Workshop on Multilinguality in the Era of Large Language Models (MeLLM 2026) · no summary yet**Ruolei Zhang, Teddy Njuguna, Yue Feng*2026*

## Co-authors here

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

- [Aldo Lipani](https://md.research.elamur.ai/free/en/authors/aldo-lipani/)
- [Dawei Yin](https://md.research.elamur.ai/free/en/authors/dawei-yin/)
- [Emine Yilmaz](https://md.research.elamur.ai/free/en/authors/emine-yilmaz/)
- [Qiang Zhang](https://md.research.elamur.ai/free/en/authors/qiang-zhang/)
- [Shijie Wang](https://md.research.elamur.ai/free/en/authors/shijie-wang/)
- [Shuaiqiang Wang](https://md.research.elamur.ai/free/en/authors/shuaiqiang-wang/)
- [Wenqi Fan](https://md.research.elamur.ai/free/en/authors/wenqi-fan/)
- [Xi Wang](https://md.research.elamur.ai/free/en/authors/xi-wang/)
- [Xinyu Ma](https://md.research.elamur.ai/free/en/authors/xinyu-ma/)
- [Yi Zhang](https://md.research.elamur.ai/free/en/authors/yi-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/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/), [ACL 2023](https://md.research.elamur.ai/free/en/venues/acl/2023/)
- Proceedings of the 1st Workshop on Multilinguality in the Era of Large Language Models (MeLLM 2026)

## Cited by

Papers of our library cite their works 40 times (of the 149,439 papers whose bibliographies we read); [13 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yue-feng/cited-by/).

Updated 31 October 2026
