🧑‍🔬 Yufeng Chen

🏛️ Affiliations

🎓Beijing Jiaotong UniversityBeijing · China2015–2026 · 127 paperscurrent🎓Nanjing University of Aeronautics and AstronauticsNanjing · China2024–2026 · 4 paperscurrent🎓Shandong UniversityJinan · China2017–2026 · 4 paperscurrent🎓Chengdu Technological UniversityChengdu2024–2026 · 3 paperscurrent🎓Northwestern Polytechnical UniversityXi'an · China2026 · 1 papercurrent🏛️Chinese Academy of SciencesBeijing · China2005–2025 · 11 papers🎓Beijing Institute of TechnologyBeijing · China2007–2023 · 9 papers🤝China Building Materials AcademyBeijing · China2019–2025 · 6 papers🏢TencentShenzhen · China2019–2025 · 6 papers🎓Southwest University of Science and TechnologyMianyang · China2023–2024 · 6 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 21 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Dual-Space Knowledge Distillation for Large Language Models (2024 · 39 citations)
   Standard white-box knowledge distillation for LLMs trains a small student to match the teacher's token-level output distributions.
2. Multilingual Knowledge Editing with Language-Agnostic Factual Neurons (2025 · 17 citations)
   The paper tackles multilingual knowledge editing (MKE), which means changing a fact in an LLM so the correction holds in several languages at once.
3. Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-Experts (2025 · 13 citations)
   Adding new languages to an existing LLM risks erasing skills in the languages it already handles well. The earlier MoE-based approach, MoE-LPR, also inflates model size: Qwen1.5-1.8B grows 3.2× to support three extra languages. This paper introduces LayerMoE, which questions whether every layer needs the same number…
4. Think Natively: Unlocking Multilingual Reasoning with Consistency-Enhanced Reinforcement Learning (2026 · 11 citations)
   Reasoning-oriented LLMs that think before answering often handle non-English prompts poorly. They tend to drift into English or a mix of languages during reasoning, and their accuracy drops compared with English. The authors introduce M-Thinker, a family of models (1.5B, 4B, 7B) trained with GRPO using two new reward…
5. Language-Coupled Reinforcement Learning for Multilingual Retrieval-Augmented Generation (2026 · 5 citations)
   The paper addresses two problems in multilingual retrieval-augmented generation (MRAG). The first is knowledge bias: an LLM answers the same question differently depending on its language. The second is knowledge conflict: passages retrieved from collections in many languages contradict each other. The authors…
6. Can Multi-agent Help Disambiguation in Multi-domain Translation? (2026)
   The paper asks whether LLM-based multi-agent collaboration can resolve cross-domain word ambiguity in multi-domain translation (MDT).
7. FeedTrans: Enhance Machine Translation via Feedback (2026)
   Reinforcement learning (RL) for machine translation usually rewards a model only for what it can already produce.
8. Multilingual Chain-of-Thought Compression via Cross-Lingual Distillation (2026)
   Chain-of-thought (CoT) reasoning models often produce long, redundant traces. Existing compression techniques are tuned mostly on English. In other languages they either shorten outputs very little or cost accuracy, and low-resource languages suffer most. The authors propose MCD (Multilingual Chain-of-thought…

All works

20 works of theirs in our library, the most cited first; 8 with a page here, the others link their original until we summarise them.

1. GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetYijin Liu et al.2019 · 127 citations
2. CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetYijin Liu et al.2019 · 108 citations
3. Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetYunlong Liang et al.2021 · 82 citations
4. A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetYunlong Liang et al.2019 · 65 citations
5. Dual-Space Knowledge Distillation for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Songming Zhang, Xue Zhang, Zengkui Sun, et al.2024 · 39 citations
6. A Learning-Exploring Method to Generate Diverse Paraphrases with Multi-Objective Deep Reinforcement Learning ↗Proceedings of the 28th International Conference on Computational Linguistics · no summary yetMingtong Liu et al.2020 · 19 citations
7. Multilingual Knowledge Editing with Language-Agnostic Factual NeuronsInternational Conference on Computational Linguistics (COLING)Xue Zhang, Yunlong Liang, Fandong Meng, et al.2025 · 17 citations
8. Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-ExpertsAnnual Meeting of the Association for Computational Linguistics (ACL)Xue Zhang, Yunlong Liang, Fandong Meng, et al.2025 · 13 citations
9. Think Natively: Unlocking Multilingual Reasoning with Consistency-Enhanced Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Xue Zhang, Yunlong Liang, Fandong Meng, et al.2026 · 11 citations
10. Syntactically-Informed Unsupervised Paraphrasing with Non-Parallel Data ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetErguang Yang et al.2021 · 11 citations
11. Learning Structural Information for Syntax-Controlled Paraphrase Generation ↗Findings of the Association for Computational Linguistics: NAACL 2022 · no summary yetErguang Yang et al.2022 · 9 citations
12. Language-Coupled Reinforcement Learning for Multilingual Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsRui Qi, Fengran Mo, Yufeng Chen, et al.2026 · 5 citations
13. A Holistic Approach to Reference-Free Evaluation of Machine Translation ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetHanming Wu et al.2023 · 3 citations
14. BJTU-Toshiba's Submission to WMT22 Quality Estimation Shared Task ↗Proceedings of the Seventh Conference on Machine Translation (WMT) · no summary yetHui Huang et al.2022 · 1 citation
15. Can Multi-agent Help Disambiguation in Multi-domain Translation?Findings of the Association for Computational LinguisticsZhibo Man, Shaoyang Xu, Yujie Zhang, et al.2026
16. FeedTrans: Enhance Machine Translation via FeedbackTransactions of the Association for Computational Linguistics (TACL)Zengkui Sun, Jiali Zeng, Jiaan Wang, et al.2026
17. Multilingual Chain-of-Thought Compression via Cross-Lingual DistillationWorkshop on Multilinguality in the Era of Large Language ModelsJiarui Wan, Songming Zhang, Yufeng Chen2026
18. A Quality-based Syntactic Template Retriever for Syntactically-Controlled Paraphrase Generation ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetXue Zhang et al.2023
19. Towards Making the Most of Pre-trained Translation Model for Quality Estimation ↗Proceedings of the 21st Chinese National Conference on Computational Linguistics · no summary yetLi Chunyou et al.2022
20. 融合外部知识的开放域复述模板获取方法(An Open Domain Paraphrasing Template Acquisition Method Based on External Knowledge) ↗Proceedings of the 20th Chinese National Conference on Computational Linguistics · no summary yetBo Jin et al.2021

🤝 Co-authors here

12 of 20 co-authors with a page, the most papers together first.

• Songming Zhang ×5
• Xue Zhang ×5
• Fandong Meng ×4
• Jie Zhou ×4
• Jinan Xu ×4
• Xu Jinan ×3
• Yunlong Liang ×3
• Kaiyu Huang ×2
• Zengkui Sun ×2
• Fengran Mo
• Jiaan Wang
• Jiali Zeng

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) ×4: ACL 2026, ACL 2025
• Conference on Empirical Methods in Natural Language Processing (EMNLP) ×3: EMNLP 2024
• International Conference on Computational Linguistics (COLING) ×2: COLING 2025
• Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026 ×2
• Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) ×2
• Proceedings of the 21st Chinese National Conference on Computational Linguistics ×2
• Workshop on Multilinguality in the Era of Large Language Models: Workshop on Multilinguality in the Era of Large Language Models 2026
• Transactions of the Association for Computational Linguistics (TACL): Transactions of the Association for Computational Linguistics (TACL) 2026
• Findings of the Association for Computational Linguistics: NAACL 2022
• Proceedings of the AAAI Conference on Artificial Intelligence
• Proceedings of the Seventh Conference on Machine Translation (WMT)

🔗 Cited by

Papers of our library cite their works 189 times (of the 149,439 papers whose bibliographies we read); 27 citing papers with a page here →.

Updated 1 November 2026

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