🧑‍🔬 Who cites Ming Jiang

74 citations of their works from 74 papers of our library (of the 149,439 whose bibliographies we read) · 16 with a page here, the most cited first · ← Ming Jiang

1. A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the UglyarXiv:2312.02003Yifan Yao, Jinhao Duan, Kaidi Xu, et al.2023 · 1,186 citations
2. Survey of Cultural Awareness in Language Models: Text and BeyondComputational LinguisticsSiddhesh Pawar, Junyeong Park, Jiho Jin, et al.2025 · 106 citations
3. Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the ArtTransactions of the Association for Computational Linguistics (TACL)Chen Cecilia Liu, Iryna Gurevych, Anna Korhonen2025 · 90 citations
4. Culture is Not Trivia: Sociocultural Theory for Cultural NLPAnnual Meeting of the Association for Computational Linguistics (ACL)Naitian Zhou, David Bamman, Isaac L. Bleaman2025 · 33 citations
5. R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning LearningTransactions of the Association for Computational Linguistics (TACL)Minggui He, Yilun Liu, Shimin Tao, et al.2026 · 22 citations
6. Benchmarking LLMs for Translating Classical Chinese Poetry: Evaluating Adequacy, Fluency, and EleganceConference on Empirical Methods in Natural Language Processing (EMNLP)Andong Chen, Lianzhang Lou, Kehai Chen, et al.2025 · 18 citations
7. Can LLMs Translate Cultural Nuance in Dialects? A Case Study on Lebanese ArabicWorkshop on NLP for Languages Using Arabic ScriptSilvana Yakhni, Ali Chehab2025 · 6 citations
8. 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
9. 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
10. Incentivizing Parametric Knowledge via Reinforcement Learning with Verifiable Rewards for Cross-Cultural Entity TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Jiang Zhou, Xiaohu Zhao, Xinwei Wu, et al.2026 · 1 citation
11. 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
12. Beyond Monolithic Culture: Evaluating Understandability of Online Text Across Cultural DimensionsWorkshop on Cross-Cultural Considerations in NLPSaurabh Kumar Pandey, Harshit Gupta, Sougata Saha, et al.2026
13. Context-8: A Data Set for Evaluating Context Sensitivity in Machine TranslationLanguage Resources and Evaluation Conference (LREC)Dongyue Wang, Kyo Kageura2026
14. Cultural and Knowledge Biases in LLMs through the Lens of Entity-Aware Machine TranslationLanguage Resources and Evaluation Conference (LREC)Lu Xu, Luca Moroni, Roberto Navigli2026
15. Defining Cultural Capabilities for AI Evaluation: A Taxonomy Grounded in Intercultural Communication TheoryWorkshop on Evaluating Evaluations (EvalEval)Isar Nejadgholi, Masoud Kianpour, Krishnapriya Vishnubhotla, 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

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