🔗 Who cites «English Prompts are Better for NLI-based Zero-Shot Emotion Classification than Target-Language Prompts»

9 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · ← back to «English Prompts are Better for NLI-based Zero-Shot Emotion Classification than Target-Language Prompts»

1. Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Chaoqun Liu, Wenxuan Zhang, Yiran Zhao, et al.2025 · 61 citations
2. Evaluating Multilingual Long-Context Models for Retrieval and ReasoningWorkshop on Multilingual Representation LearningAmeeta Agrawal, Andy Dang, Sina Bagheri Nezhad, et al.2024 · 13 citations
3. Are Dialects Better Prompters? A Case Study on Arabic Subjective Text ClassificationFindings of the Association for Computational LinguisticsLeila Moudjari, Farah Benamara2025 · 3 citations

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

This page in Markdown → https://md.research.elamur.ai/free/en/papers/barei-ss-2024-english-prompts-better-nli-based/cited-by/