---
title: "Who cites Hong-Gee Kim — 55 papers of our library"
description: "55 papers of the Elamur Research library cite the works of Hong-Gee Kim, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/hong-gee-kim/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/hong-gee-kim/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Hong-Gee Kim](https://md.research.elamur.ai/free/en/authors/hong-gee-kim/) / cited by

# Who cites Hong-Gee Kim

55 citations of their works from 55 papers of our library (of the 149,439 whose bibliographies we read) · 9 with a page here, the most cited first · [← Hong-Gee Kim](https://md.research.elamur.ai/free/en/authors/hong-gee-kim/)

1. **[Unifying Large Language Models and Knowledge Graphs: A Roadmap](https://md.research.elamur.ai/free/en/papers/pan-2023-unifying-large-language-models-knowledge/) [IEEE Transactions on Knowledge and Data Engineering](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-knowledge-and-data-engineering/)**Shirui Pan, Linhao Luo, Yufei Wang, et al.*2023 · 1,551 citations*
2. **[OpenPrompt: An Open-source Framework for Prompt-learning](https://md.research.elamur.ai/free/en/papers/ding-2022-openprompt-open-source-framework-prompt/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ning Ding, Shengding Hu, Weilin Zhao, et al.*2022 · 279 citations*
3. [**Is GPT-3 a Good Data Annotator? arXiv:2212.10450**Bosheng Ding, Chengwei Qin, Linlin Liu, et al.*2022 · 147 citations*](https://md.research.elamur.ai/free/en/papers/ding-2022-gpt-3-good-data-annotator/)
4. **[ConnPrompt: Connective-cloze Prompt Learning for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/xiang-2022-connprompt-connective-cloze-prompt-learning/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Wei Xiang, Zhenglin Wang, Lu Dai, et al.*2022 · 21 citations*
5. [**ConPET: Continual Parameter-Efficient Tuning for Large Language Models arXiv:2309.14763**Chenyang Song, Xu Han, Zheni Zeng, et al.*2023 · 14 citations*](https://md.research.elamur.ai/free/en/papers/song-2023-conpet-continual-parameter-efficient-tuning/)
6. **[TEPrompt: Task Enlightenment Prompt Learning for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/xiang-2023-teprompt-task-enlightenment-prompt-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wei Xiang, Chao Liang, Bang Wang*2023 · 10 citations*
7. **[Attn-GS: Attention-Guided Context Compression for Efficient Personalized LLMs](https://md.research.elamur.ai/free/en/papers/zeng-2026-attn-gs-attention-guided-context/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shenglai Zeng, Tianqi Zheng, Chuan Tian, et al.*2026*
8. **[CoMeT: Collaborative Memory Transformer for Efficient Long Context Modeling](https://md.research.elamur.ai/free/en/papers/zhao-2026-comet-collaborative-memory-transformer-efficient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Runsong Zhao, Shilei Liu, Jiwei Tang, et al.*2026*
9. **[Read As Human: Compressing Context via Parallelizable Close Reading and Skimming](https://md.research.elamur.ai/free/en/papers/tang-2026-read-as-human-compressing-context/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiwei Tang, Shilei Liu, Zhicheng Zhang, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/authors/hong-gee-kim/) — Hong-Gee Kim