--- title: "Who cites Hong Chen" description: "132 papers of the Elamur Research library cite the works of Hong Chen, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/hong-chen/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/hong-chen/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Hong Chen](https://md.research.elamur.ai/free/en/authors/hong-chen/) / cited by # Who cites Hong Chen 132 citations of their works from 132 papers of our library (of the 140,884 whose bibliographies we read) · 22 with a page here, the most cited first · [← Hong Chen](https://md.research.elamur.ai/free/en/authors/hong-chen/) 1. [**A Survey of Large Language Models**Wayne Xin Zhao, Kun Zhou, Junyi Li, et al.*2023 · 2,847 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2023-survey-large-language-models/) 2. [**Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation**Dawei Gao, Haibin Wang, Yaliang Li, et al.*2023 · 461 citations*](https://md.research.elamur.ai/free/en/papers/gao-2023-text-sql-empowered-large-language/) 3. [**DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction**Mohammadreza Pourreza, Davood Rafiei*2023 · 397 citations*](https://md.research.elamur.ai/free/en/papers/pourreza-2023-din-sql-decomposed-context-learning/) 4. [**Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning**Pradeep Dasigi, Nelson F. Liu, Ana Marasovic, et al.*2019 · 256 citations*](https://md.research.elamur.ai/free/en/papers/dasigi-2019-quoref-reading-comprehension-dataset-questions/) 5. [**An Annotated Dataset of Coreference in English Literature**David Bamman, Olivia Lewke, Anya Mansoor*2020 · 103 citations*](https://md.research.elamur.ai/free/en/papers/bamman-2020-annotated-dataset-coreference-english-literature/) 6. [**A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation**Massimo Poesio, Jon Chamberlain, Silviu Paun, et al.*2019 · 87 citations*](https://md.research.elamur.ai/free/en/papers/poesio-2019-crowdsourced-corpus-multiple-judgments-disagreement/) 7. [**On Generalization in Coreference Resolution**Shubham Toshniwal, Patrick Xia, Sam Wiseman, et al.*2021 · 62 citations*](https://md.research.elamur.ai/free/en/papers/toshniwal-2021-generalization-coreference-resolution/) 8. [**What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues**Xintong Yu, Hongming Zhang, Yangqiu Song, et al.*2019 · 42 citations*](https://md.research.elamur.ai/free/en/papers/yu-2019-what-you-see-is-what/) 9. [**Maverick: Efficient and Accurate Coreference Resolution Defying Recent Trends**Giuliano Martinelli, Edoardo Barba, Roberto Navigli*2024 · 36 citations*](https://md.research.elamur.ai/free/en/papers/martinelli-2024-maverick-efficient-accurate-coreference-resolution/) 10. [**Adapting Coreference Resolution Models through Active Learning**Michelle Yuan, Patrick Xia, Chandler May, et al.*2022 · 35 citations*](https://md.research.elamur.ai/free/en/papers/yuan-2022-adapting-coreference-resolution-models-through/) 11. [**Seq2seq is All You Need for Coreference Resolution**Wenzheng Zhang, Sam Wiseman, Karl Stratos*2023 · 32 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-seq2seq-is-all-you-need/) 12. [**Realistic Evaluation Principles for Cross-document Coreference Resolution**Arie Cattan, Alon Eirew, Gabriel Stanovsky, et al.*2021 · 31 citations*](https://md.research.elamur.ai/free/en/papers/cattan-2021-realistic-evaluation-principles-cross-document/) 13. [**Are Large Language Models Robust Coreference Resolvers?**Nghia T. Le, Alan Ritter*2023 · 26 citations*](https://md.research.elamur.ai/free/en/papers/le-2023-large-language-models-robust-coreference/) 14. [**OntoGUM: Evaluating Contextualized SOTA Coreference Resolution on 12 More Genres**Yilun Zhu, Sameer Pradhan, Amir Zeldes*2021 · 25 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2021-ontogum-evaluating-contextualized-sota-coreference/) 15. [**A Cluster Ranking Model for Full Anaphora Resolution**Juntao Yu, Alexandra Uma, Massimo Poesio*2020 · 17 citations*](https://md.research.elamur.ai/free/en/papers/yu-2020-cluster-ranking-model-full-anaphora/) 16. [**Major Entity Identification: A Generalizable Alternative to Coreference Resolution**Kawshik Manikantan, Shubham Toshniwal, Makarand Tapaswi, et al.*2024 · 13 citations*](https://md.research.elamur.ai/free/en/papers/manikantan-2024-major-entity-identification-generalizable-alternative/) 17. [**Coreference meets Universal Dependencies – a pilot experiment on harmonizing coreference datasets for 11 languages**Anna Nedoluzhko, Michal Novák, Martin Popel, et al.*2021 · 11 citations*](https://md.research.elamur.ai/free/en/papers/nedoluzhko-2021-coreference-meets-universal-dependencies/) 18. [**Challenges to Evaluating the Generalization of Coreference Resolution Models: A Measurement Modeling Perspective**Ian Porada, Alexandra Olteanu, Kaheer Suleman, et al.*2024 · 10 citations*](https://md.research.elamur.ai/free/en/papers/porada-2024-challenges-evaluating-generalization-coreference-resolution/) 19. [**Anatomy of OntoGUM—Adapting GUM to the OntoNotes Scheme to Evaluate Robustness of SOTA Coreference Algorithms**Yilun Zhu, Sameer Pradhan, Amir Zeldes*2021 · 6 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2021-anatomy-ontogum-adapting-gum-ontonotes/) 20. [**Understanding Mention Detector-Linker Interaction in Neural Coreference Resolution**Zhaofeng Wu, Matt Gardner*2021 · 6 citations*](https://md.research.elamur.ai/free/en/papers/wu-2021-understanding-mention-detector-linker-interaction/) 21. [**Beyond Word Boundaries: A Hebrew Coreference Benchmark and an Evaluation Protocol for Morphologically Complex Text**Refael Shaked Greenfeld, Reut Tsarfaty*2026*](https://md.research.elamur.ai/free/en/papers/greenfeld-2026-beyond-word-boundaries-hebrew-coreference/) 22. [**Survey on Application of Retrieval-augmented Generation in Software Engineering (检索增强生成在软件工程中的应用综述)**Quanjun Zhang (张犬俊), Yang Xie (谢杨), Chunrong Fang (房春荣), et al.*2025*](https://md.research.elamur.ai/free/en/papers/zhang-2025-application-retrieval-augmented/) 110 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/hong-chen/) — Hong Chen