🔗 Who cites «A Latent Variable Model Approach to PMI-based Word Embeddings»

81 papers of our library cite it (of the 141,840 whose bibliographies we read) · 11 with a page here, the most cited first · ← back to «A Latent Variable Model Approach to PMI-based Word Embeddings»

1. On the Opportunities and Risks of Foundation ModelsRishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,056 citations
2. Unsupervised Learning of Sentence Embeddings Using Compositional n-Gram FeaturesMatteo Pagliardini, Prakhar Gupta, Martin Jaggi2018 · 842 citations
3. Linear Algebraic Structure of Word Senses, with Applications to PolysemySanjeev Arora, Yuanzhi Li, Yingyu Liang, et al.2018 · 248 citations
4. Understanding Undesirable Word Embedding AssociationsKawin Ethayarajh, David Duvenaud, Graeme Hirst2019 · 171 citations
5. LESS: Selecting Influential Data for Targeted Instruction TuningMengzhou Xia, Sadhika Malladi, Suchin Gururangan, et al.2024 · 170 citations
6. The Linear Representation Hypothesis and the Geometry of Large Language ModelsKiho Park, Yo Joong Choe, Victor Veitch2023 · 157 citations
7. Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence EncodersFangyu Liu, Ivan Vulić, Anna Korhonen, et al.2021 · 147 citations
8. Improving Event Coreference Resolution by Modeling Correlations between Event Coreference Chains and Document Topic StructuresPrafulla Kumar Choubey, Ruihong Huang2018 · 43 citations
9. Current Trends and Approaches in Synonyms Extraction: Potential Adaptation to ArabicEman Naser-Karajah, Nabil Arman, Mustafa Jarrar2021 · 14 citations
10. Word-Embeddings Distinguish Denominal and Root-Derived Verbs in SemiticIdo Benbaji, Omri Doron, Adele Henot-Mortier2022 · 1 citation
11. “Oat Milk Vegan Chocolate Taste Great!”: Monitoring the Food Transition Debate in RedditGreta Zella, Jan Willem Bolderdijk, Saskia Peels, et al.2026

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

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