---
title: "Who cites Chong Wang — 253 papers of our library"
description: "253 papers of the Elamur Research library cite the works of Chong Wang, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/chong-wang/cited-by/"
---
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# Who cites Chong Wang

254 citations of their works from 253 papers of our library (of the 149,439 whose bibliographies we read) · 29 with a page here, the most cited first · [← Chong Wang](https://md.research.elamur.ai/free/en/authors/chong-wang/)

1. [**Towards A Rigorous Science of Interpretable Machine Learning arXiv:1702.08608**Finale Doshi-Velez, Been Kim*2017 · 3,226 citations*](https://md.research.elamur.ai/free/en/papers/doshi-velez-2017-towards-rigorous-science-interpretable-machine/)
2. **[Exploring the Space of Topic Coherence Measures](https://md.research.elamur.ai/free/en/papers/roder-2015-exploring-space-topic-coherence-measures/) [ACM International Conference on Web Search and Data Mining (WSDM)](https://md.research.elamur.ai/free/en/venues/acm-international-conference-on-web-search-and-data-mining-wsdm/)**Michael Röder, Andreas Both, Alexander Hinneburg*2015 · 2,373 citations*
3. **[Optimizing Semantic Coherence in Topic Models](https://md.research.elamur.ai/free/en/papers/mimno-2011-optimizing-semantic-coherence-topic-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**David Mimno, Hanna Wallach, Edmund Talley, et al.*2011 · 1,340 citations*
4. **[Automatic Evaluation of Topic Coherence](https://md.research.elamur.ai/free/en/papers/newman-2010-automatic-evaluation-topic-coherence/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**David Newman, Jey Han Lau, Karl Grieser, et al.*2010 · 826 citations*
5. **[Can Large Language Models Transform Computational Social Science?](https://md.research.elamur.ai/free/en/papers/ziems-2023-large-language-models-transform-computational/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Caleb Ziems, William Held, Omar Shaikh, et al.*2023 · 790 citations*
6. **[Analysis Methods in Neural Language Processing: A Survey](https://md.research.elamur.ai/free/en/papers/belinkov-2019-analysis-methods-neural-language-processing/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Yonatan Belinkov, James Glass*2019 · 740 citations*
7. **[Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality](https://md.research.elamur.ai/free/en/papers/lau-2014-machine-reading-tea-leaves-automatically/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Jey Han Lau, David Newman, Timothy Baldwin*2014 · 704 citations*
8. **[Evaluation methods for unsupervised word embeddings](https://md.research.elamur.ai/free/en/papers/schnabel-2015-evaluation-methods-unsupervised-word-embeddings/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tobias Schnabel, Igor Labutov, David Mimno, et al.*2015 · 675 citations*
9. **[Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence](https://md.research.elamur.ai/free/en/papers/bianchi-2021-pre-training-is-hot-topic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Federico Bianchi, Silvia Terragni, Dirk Hovy*2021 · 366 citations*
10. **[Improving Topic Models with Latent Feature Word Representations](https://md.research.elamur.ai/free/en/papers/nguyen-2015-improving-topic-models-latent-feature/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Dat Quoc Nguyen, Richard Billingsley, Lan Du, et al.*2015 · 351 citations*
11. **[Linear Algebraic Structure of Word Senses, with Applications to Polysemy](https://md.research.elamur.ai/free/en/papers/arora-2018-linear-algebraic-structure-word-senses/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Sanjeev Arora, Yuanzhi Li, Yingyu Liang, et al.*2018 · 254 citations*
12. **[Sparse Overcomplete Word Vector Representations](https://md.research.elamur.ai/free/en/papers/faruqui-2015-sparse-overcomplete-word-vector-representations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Manaal Faruqui, Yulia Tsvetkov, Dani Yogatama, et al.*2015 · 228 citations*
13. **[Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies](https://md.research.elamur.ai/free/en/papers/field-2018-framing-agenda-setting-russian-news/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Anjalie Field, Doron Kliger, Shuly Wintner, et al.*2018 · 195 citations*
14. **[TopicGPT: A Prompt-based Topic Modeling Framework](https://md.research.elamur.ai/free/en/papers/pham-2024-topicgpt-prompt-based-topic-modeling/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Chau Minh Pham, Alexander Hoyle, Simeng Sun, et al.*2024 · 171 citations*
15. **[Evaluating Explanations: How Much Do Explanations from the Teacher Aid Students?](https://md.research.elamur.ai/free/en/papers/pruthi-2022-evaluating-explanations-how-much-do/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Danish Pruthi, Rachit Bansal, Bhuwan Dhingra, et al.*2022 · 113 citations*
16. [**Foundational Challenges in Assuring Alignment and Safety of Large Language Models arXiv:2404.09932**Usman Anwar, Abulhair Saparov, Javier Rando, et al.*2024 · 87 citations*](https://md.research.elamur.ai/free/en/papers/anwar-2024-foundational-challenges-assuring-alignment-safety/)
17. **[Creating Speech and Language Data With Amazon's Mechanical Turk](https://md.research.elamur.ai/free/en/papers/burch-2010-creating-speech-language-data-amazon/) [NAACL HLT Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk](https://md.research.elamur.ai/free/en/venues/naacl-hlt-workshop-on-creating-speech-and-language-data-with-amazon-s-mechanical/)**Chris Callison-Burch, Mark Dredze*2010 · 86 citations*
18. **[Evaluating Topic Coherence Using Distributional Semantics](https://md.research.elamur.ai/free/en/papers/aletras-2013-evaluating-topic-coherence-distributional-semantics/) [International Conference on Computational Semantics – Long Papers](https://md.research.elamur.ai/free/en/venues/international-conference-on-computational-semantics-long-papers/)**Nikolaos Aletras, Mark Stevenson*2013 · 65 citations*
19. **[Latent Variable Models of Selectional Preference](https://md.research.elamur.ai/free/en/papers/seaghdha-2010-latent-variable-models-selectional-preference/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ó Séaghdha, Diarmuid*2010 · 56 citations*
20. **[Word Embeddings Are Steers for Language Models](https://md.research.elamur.ai/free/en/papers/han-2024-word-embeddings-are-steers-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chi Han, Jialiang Xu, Manling Li, et al.*2024 · 49 citations*
21. **[‘Calling on the classical phone': a distributional model of adjective-noun errors in learners' English](https://md.research.elamur.ai/free/en/papers/herbelot-2016-calling-classical-phone-distributional-model/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Aurélie Herbelot, Ekaterina Kochmar*2016 · 5 citations*
22. **[Beyond Coherence: Improving Temporal Consistency and Interpretability in Dynamic Topic Models](https://md.research.elamur.ai/free/en/papers/nguyen-2026-beyond-coherence-improving-temporal-consistency/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Thanh Vinh Nguyen, Ngo Van Dong, Minh Chu Xuan, et al.*2026 · 1 citation*
23. **[From Documents to Segments: A Contextual Reformulation for Topic Assignment](https://md.research.elamur.ai/free/en/papers/yoon-2026-documents-segments-contextual-reformulation-topic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hoonsang Yoon, Takyoung Kim, Wonkee Lee, et al.*2026*
24. [**From Gentlemen to Frontiermen: Masculine Formations in English-Language Fiction (1771–1930) arXiv:2607.03323**Rong Wang*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-gentlemen-frontiermen-masculine-formations-english/)
25. **[IDEAlign: Comparing Ideas of Large Language Models to Domain Experts](https://md.research.elamur.ai/free/en/papers/nam-2026-idealign-comparing-ideas-large-language/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**HyunJi Nam, Lucía Langlois, Jim Malamut, et al.*2026*
26. **[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*
27. **[Tracing Thematic Change in Early English-Language Science Fiction, 1818-1930](https://md.research.elamur.ai/free/en/papers/gordon-2026-tracing-thematic-change-early-english/) [International Conference on Natural Language Processing for the Digital Humanities](https://md.research.elamur.ai/free/en/venues/nlp4dh/)**Jonathan Gordon*2026*
28. **[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*
29. **[Representing and Clustering Errors in Offensive Language Detection](https://md.research.elamur.ai/free/en/papers/otey-2025-representing-clustering-errors-offensive-language/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jood Otey, Laura Biester, Steven R Wilson*2025*

224 more citing papers of our library have no page here yet.

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