Yue Feng
Yue Feng has 3 papers in our library, in 2023–2026, most of them on Dialogue systems, Reasoning, Knowledge graphs & ontologies; often with Aldo Lipani, Dawei Yin, Emine Yilmaz.
OpenAlex · ORCID · h-index 10 · 61 works · 240 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 40 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6749
Affiliations
Fields, topics and concepts
📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksInformation Systems · 1 workLaw · 1 workPolitical Science and International Relations · 1 workSocial Sciences · 1 work
🧭 Topics 5Research subjects and languages the work is about.Dialogue systems · 1 workInformation retrieval & search · 1 workKnowledge graphs & ontologies · 1 workLegal AI · 1 workReasoning · 1 work
Works by year
2020s
Papers
- Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation (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… - A Survey on Asking Clarification Questions Datasets in Conversational Systems (2023 · 28 citations)
Research on asking clarification questions (ACQs) in conversational systems is hard to compare across studies. - From Query to Counsel: Structured Reasoning with a Multi-Agent Framework and Dataset for Legal Consultation (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
- Knowledge Graph Retrieval-Augmented Generation for LLM-based RecommendationAnnual Meeting of the Association for Computational Linguistics (ACL)Shijie Wang, Wenqi Fan, Yue Feng, et al.2025 · 77 citations
- A Survey on Asking Clarification Questions Datasets in Conversational SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Hossein A. Rahmani, Xi Wang, Yue Feng, et al.2023 · 28 citations
- From Query to Counsel: Structured Reasoning with a Multi-Agent Framework and Dataset for Legal ConsultationAnnual Meeting of the Association for Computational Linguistics (ACL)Mingfei Lu, Yi Zhang, Mengjia Wu, et al.2026
- Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili ↗Proceedings of the 1st Workshop on Multilinguality in the Era of Large Language Models (MeLLM 2026) · no summary yetRuolei Zhang, Teddy Njuguna, Yue Feng2026
Co-authors here
- Aldo Lipani
- Dawei Yin
- Emine Yilmaz
- Qiang Zhang
- Shijie Wang
- Shuaiqiang Wang
- Wenqi Fan
- Xi Wang
- Xinyu Ma
- Yi Zhang
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×3: ACL 2026, ACL 2025, ACL 2023
- Proceedings of the 1st Workshop on Multilinguality in the Era of Large Language Models (MeLLM 2026)
Cited by
Updated
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