🧑‍🔬 Who cites Iacer Calixto

223 citations of their works from 186 papers of our library (of the 141,840 whose bibliographies we read) · 19 with a page here, the most cited first · ← Iacer Calixto

1. mT5: A Massively Multilingual Pre-trained Text-to-Text TransformerLinting Xue, Noah Constant, Adam Roberts, et al.2021 · 3,197 citations
2. Findings of the 2014 Workshop on Statistical Machine TranslationOndřej Bojar, Christian Buck, Christian Federmann, et al.2014 · 929 citations
3. Crosslingual Generalization through Multitask FinetuningNiklas Muennighoff, Thomas Wang, Lintang Sutawika, et al.2022 · 695 citations
4. Neural Unsupervised Domain Adaptation in NLP–-A SurveyAlan Ramponi, Barbara Plank2020 · 336 citations
5. Canine: Pre-training an Efficient Tokenization-Free Encoder for Language RepresentationJonathan H. Clark, Dan Garrette, Iulia Turc, et al.2022 · 297 citations
6. Exploiting Cross-Sentence Context for Neural Machine TranslationLongyue Wang, Zhaopeng Tu, Andy Way, et al.2017 · 291 citations
7. XTREME-R: Towards More Challenging and Nuanced Multilingual EvaluationSebastian Ruder, Noah Constant, Jan Botha, et al.2021 · 277 citations
8. Probing the Need for Visual Context in Multimodal Machine TranslationOzan Caglayan, Pranava Madhyastha, Lucia Specia, et al.2019 · 215 citations
9. Multimodal Transformer for Multimodal Machine TranslationShaowei Yao, Xiaojun Wan2020 · 197 citations
10. Merging Models with Fisher-Weighted AveragingMichael Matena, Colin Raffel2021 · 191 citations
11. Rethinking embedding coupling in pre-trained language modelsHyung Won Chung, Thibault Févry, Henry Tsai, et al.2020 · 142 citations
12. Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine TranslationZhiyong Wu, Lingpeng Kong, Wei Bi, et al.2021 · 119 citations
13. MUSS: Multilingual Unsupervised Sentence Simplification by Mining ParaphrasesLouis Martin, Angela Fan, Éric de la Clergerie, et al.2022 · 117 citations
14. Multilingual Instruction Tuning With Just a Pinch of MultilingualityUri Shaham, Jonathan Herzig, Roee Aharoni, et al.2024 · 78 citations
15. Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generationThiago Castro Ferreira, Iacer Calixto, Sander Wubben, et al.2017 · 47 citations
16. PEIT: Bridging the Modality Gap with Pre-trained Models for End-to-End Image TranslationShaolin Zhu, Shangjie Li, Yikun Lei, et al.2023 · 32 citations
17. Lost in Translationese? Reducing Translation Effect Using Abstract Meaning RepresentationShira Wein, Nathan Schneider2024 · 16 citations
18. Bridging the Gap between Synthetic and Authentic Images for Multimodal Machine TranslationWenyu Guo, Qingkai Fang, Dong Yu, et al.2023 · 15 citations
19. A Partially Rule-Based Approach to AMR GenerationEmma Manning2019 · 2 citations

167 more citing papers of our library have no page here yet.

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