🧑‍🔬 Who cites Yongjing Yin

93 citations of their works from 93 papers of our library (of the 149,439 whose bibliographies we read) · 9 with a page here, the most cited first · ← Yongjing Yin

1. Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional NetworkAnnual Meeting of the Association for Computational Linguistics (ACL)Bin Liang, Chenwei Lou, Xiang Li, et al.2022 · 172 citations
2. Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyong Wu, Lingpeng Kong, Wei Bi, et al.2021 · 120 citations
3. Pushing on Multilingual Reasoning Models with Language-Mixed Chain-of-ThoughtarXiv:2510.04230Guijin Son, Donghun Yang, Hitesh Laxmichand Patel, et al.2025 · 7 citations
4. BlAInded by Fluency: How Idiomatic Machine Translation Outputs Affect Student Post-Editors' Edit TypesAnnual Conference of the European Association for Machine Translation (EAMT)Valentin Scourneau, Loïc De Faria Pires2026
5. Context-8: A Data Set for Evaluating Context Sensitivity in Machine TranslationLanguage Resources and Evaluation Conference (LREC)Dongyue Wang, Kyo Kageura2026
6. Domain Adaptation of Image Encoder for Multimodal Manga TranslationConference of the European Chapter of the Association for Computational Linguistics (EACL)Kota Manabe, Tomoyuki Kajiwara, Takashi Ninomiya, et al.2026
7. Lexical and Syntactic Diversity: Still Lost in Machine Translation?Workshop on Style in GenAI-Translated Content (StyGenAI)Lise Volkart, Pierrette Bouillon2026
8. Lost in Translation, and Found: Detecting and Interpreting Translation EffectsAnnual Meeting of the Association for Computational Linguistics (ACL)Shira Wein, Anna Serbina, Jiyuan Ji, et al.2026
9. Reasoning About Gender: How Source Text Strategies Impact Italian–to-German Machine Translation Beyond the BinaryWorkshop on Gender-Inclusive Translation TechnologiesPaolo Di Natale, Laura Schlutter, Elena Chiocchetti, et al.2026

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