Hierarchical Level-Wise News Article Clustering via Multilingual Matryoshka Embeddings (2025.acl-long)
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| Challenge: | Contextual large language model embeddings are often monolingual, do not scale, and struggle in multilingual settings. |
| Approach: | They propose a hierarchical approach to embed news articles and social media data using Matryoshka embeddings that can determine story similarity at varying levels of granularity based on which subset of dimensions is examined. |
| Outcome: | The proposed model achieves state-of-the-art performance on the SemEval 2022 task 8 dataset. |
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