🔗 Who cites «Evaluating the Capabilities of Large Language Models for Multi-label Emotion Understanding»

50 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · ← back to «Evaluating the Capabilities of Large Language Models for Multi-label Emotion Understanding»

1. AfriMTEB and AfriE5: Benchmarking and Adapting Text Embedding Models for African LanguagesConference of the European Chapter of the Association for Computational Linguistics (EACL)Kosei Uemura, Miaoran Zhang, David Ifeoluwa Adelani2026 · 4 citations
2. SALOMO: An Annotation Tool for Complex Annotation Tasks with a Large Number of LabelsLanguage Resources and Evaluation Conference (LREC)Tim Menzner2026

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

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