🧑‍🔬 Who cites Muyun Yang

107 citations of their works from 107 papers of our library (of the 149,439 whose bibliographies we read) · 20 with a page here, the most cited first · ← Muyun Yang

1. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 176 citations
2. A Latent Variable Recurrent Neural Network for Discourse-Driven Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yangfeng Ji, Gholamreza Haffari, Jacob Eisenstein2016 · 121 citations
3. Survey of Cultural Awareness in Language Models: Text and BeyondComputational LinguisticsSiddhesh Pawar, Junyeong Park, Jiho Jin, et al.2025 · 106 citations
4. New Trends for Modern Machine Translation with Large Reasoning ModelsLanguage Resources and Evaluation Conference (LREC)Sinuo Liu, Chenyang Lyu, Minghao Wu, et al.2026 · 16 citations
5. DeepTrans: Deep Reasoning Translation via Reinforcement LearningTransactions of the Association for Computational Linguistics (TACL)Jiaan Wang, Fandong Meng, Jie Zhou2026 · 11 citations
6. Beyond Literal Mapping: Benchmarking and Improving Non-Literal Translation EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Yanzhi Tian, Cunxiang Wang, Zeming Liu, et al.2026 · 5 citations
7. Instructions are all you need: Self-supervised Reinforcement Learning for Instruction FollowingAnnual Meeting of the Association for Computational Linguistics (ACL)Qingyu Ren, Qianyu He, Powei Chang, et al.2026 · 3 citations
8. Culture-Aware Machine Translation in Large Language Models: Benchmarking and InvestigationAnnual Meeting of the Association for Computational Linguistics (ACL)Zekun Yuan, Yangfan Ye, Xiaocheng Feng, et al.2026 · 2 citations
9. NeoAMT: Neologism-Aware Agentic Machine Translation with Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhongtao Miao, Kaiyan Zhao, Masaaki Nagata, et al.2026 · 1 citation
10. Ready to Translate, Not to Represent? Bias and Performance Gaps in Multilingual LLMs Across Language Families and DomainsFindings of the Association for Computational LinguisticsMd. Faiyaz Abdullah Sayeedi, Subhey Sadi Rahman, Md. Mahbub Alam, et al.2026 · 1 citation
11. A Survey on Parameter-efficient Fine-tuning of Large Models: Techniques, Trends, and Challenges (大模型参数高效微调方法综述: 技术、趋势与挑战)Acta Automatica Sinica (自动化学报)Anda Tang (唐岸达), Zhouchen Lin (林宙辰)2026
12. Beyond Simple Term Injection: Reasoning Models for Legal Translation in a Non-Dominant Language VarietyAnnual Conference of the European Association for Machine Translation (EAMT)Paolo Di Natale, Elena Chiocchetti, Marlies Alber, et al.2026
13. From Shijing to English and German: Resources and Evaluation for LLM Translation of Early Chinese PoetryFindings of the Association for Computational LinguisticsYing Jiao, Meng Sun2026
14. LeLoRA: Learnable Low-Rank Adaptation of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoling Zhou, Mingjie Zhang, Zhemg Lee, et al.2026
15. ManCC: A Task-Anchored Benchmark for Manchu–Classical Chinese Cross-Lingual ModelingFindings of the Association for Computational LinguisticsMeiqi Wang, Xiaoxin Sun, Dongjie Wang, et al.2026
16. M²PO: Multi-Perspective Multi-Pair Preference Optimization for Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Wang, Linlong Xu, Heng Liu, et al.2026
17. NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yingfeng Luo, Ziqiang Xu, Yuxuan Ouyang, et al.2026
18. Paraphrasing as Zero-shot Translation with Feature-guided Diversity EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyue Yan, Hongying Zan, Xinglin Lyu, et al.2026
19. RanLoRA: Residual-aware Nonlinear Low-Rank AdaptationFindings of the Association for Computational LinguisticsXu Luo, Yongbin Liu, Chunping Ouyang, et al.2026
20. WeightLoRA: Keep Only Necessary AdaptersAnnual Meeting of the Association for Computational Linguistics (ACL)Andrey Veprikov, Vladimir Solodkin, Zyl Alexander, et al.2026

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