---
title: "Who cites Top2Vec: Distributed Representations of Topics"
description: "67 papers of the Elamur Research library cite «Top2Vec: Distributed Representations of Topics», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/angelov-2020-top2vec-distributed-representations-topics/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Top2Vec: Distributed Representations of Topics](https://md.research.elamur.ai/free/en/papers/angelov-2020-top2vec-distributed-representations-topics/) / cited by

# Who cites «Top2Vec: Distributed Representations of Topics»

67 papers of our library cite it (of the 149,439 whose bibliographies we read) · 10 with a page here, the most cited first · [← back to «Top2Vec: Distributed Representations of Topics»](https://md.research.elamur.ai/free/en/papers/angelov-2020-top2vec-distributed-representations-topics/)

1. [**BERTopic: Neural topic modeling with a class-based TF-IDF procedure arXiv:2203.05794**Maarten Grootendorst*2022 · 1,737 citations*](https://md.research.elamur.ai/free/en/papers/grootendorst-2022-bertopic-neural-topic-modeling-class/)
2. **[MTEB: Massive Text Embedding Benchmark](https://md.research.elamur.ai/free/en/papers/muennighoff-2022-mteb-massive-text-embedding-benchmark/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Niklas Muennighoff, Nouamane Tazi, Loïc Magne, et al.*2022 · 1,032 citations*
3. **[Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection](https://md.research.elamur.ai/free/en/papers/arakelyan-2023-topic-guided-sampling-data-efficient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Erik Arakelyan, Arnav Arora, Isabelle Augenstein*2023 · 19 citations*
4. **[Evolving linguistic divergence on polarizing social media](https://md.research.elamur.ai/free/en/papers/karjus-2023-evolving-linguistic-divergence-polarizing-social/) [Humanities and Social Sciences Communications](https://md.research.elamur.ai/free/en/venues/humanities-and-social-sciences-communications/)**Andres Karjus, Christine Cuskley*2023 · 16 citations*
5. **[Towards Modern Topic Models: A Survey of Taxonomies and Paradigm Shifts from Algorithm-Centric to LLM-Centered Topic Analysis](https://md.research.elamur.ai/free/en/papers/xu-2026-modern-topic-models-survey-taxonomies/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xuan Xu, Zhongliang Yang, Haolun Li, et al.*2026 · 1 citation*
6. **[LLM-XTM: Enhancing Cross-Lingual Topic Models with Large Language Models](https://md.research.elamur.ai/free/en/papers/xuan-2026-llm-xtm-enhancing-cross-lingual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Minh Chu Xuan, Tien-Phat Nguyen, Linh Ngo Van, et al.*2026*
7. **[Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders](https://md.research.elamur.ai/free/en/papers/zheng-2026-model-directions-not-words-mechanistic/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Carolina Zheng, Nicolas Beltran-Velez, Sweta Karlekar, et al.*2026*
8. **[When Numbers Tell Half the Story: Human-Metric Alignment in Topic Model Evaluation](https://md.research.elamur.ai/free/en/papers/prouteau-2026-when-numbers-tell-half-story/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Thibault Prouteau, Francis Lareau, Nicolas Dugue, et al.*2026*
9. **[Which Skills Debate Reaches the Public? Comparing Scientific Literature and Media Coverage of AI and LLM Skill Impacts (2022–2025)](https://md.research.elamur.ai/free/en/papers/reveilhac-2026-which-skills-debate-reaches-public/) [Edition of the Swiss Text Analytics Conference](https://md.research.elamur.ai/free/en/venues/swisstext/)**Maud Reveilhac, Gerold Schneider, Bohdan Trembovelskyi, et al.*2026*
10. [**Uncovering Conspiratorial Narratives within Arabic Online Content arXiv:2504.14037**Djamila Mohdeb, Meriem Laifa, Zineb Guemraoui, et al.*2025*](https://md.research.elamur.ai/free/en/papers/mohdeb-2025-uncovering-conspiratorial-narratives-within-arabic/)

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

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