🔗 Who cites «ERNIE-M: Enhanced Multilingual Representation by Aligning Cross-lingual Semantics with Monolingual Corpora»

59 papers of our library cite it (of the 141,840 whose bibliographies we read) · 7 with a page here, the most cited first · ← back to «ERNIE-M: Enhanced Multilingual Representation by Aligning Cross-lingual Semantics with Monolingual Corpora»

Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language ProcessingACM Computing SurveysPengfei Liu, Weizhe Yuan, Jinlan Fu, et al.2021 · 5,396 citations
XTREME-R: Towards More Challenging and Nuanced Multilingual EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP)Sebastian Ruder, Noah Constant, Jan Botha, et al.2021 · 277 citations
1. Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought PromptingarXiv:2305.07004Haoyang Huang, Tianyi Tang, Dongdong Zhang, et al.2023 · 224 citations
2. SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and ArabicIbrahim Abu Farha, Silviu Vlad Oprea, Steven Wilson, et al.2022 · 146 citations
   X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm DetectionInternational Workshop on Semantic Evaluation (SemEval)Yaqian Han, Yekun Chai, Shuohuan Wang, et al.2022 · 15 citations
   Sarcasm Detection is Way Too Easy! An Empirical Comparison of Human and Machine Sarcasm DetectionFindings of the Association for Computational LinguisticsIbrahim Abu Farha, Steven Wilson, Silviu Oprea, et al.2022 · 13 citations
3. SemEval-2022 Task 3: PreTENS — Evaluating Neural Networks on Presuppositional Semantic KnowledgeRoberto Zamparelli, Shammur Chowdhury, Dominique Brunato, et al.2022 · 8 citations

52 more papers of our library cite it; they have no page here yet.

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