--- title: "Who cites Seungwhan Moon — 201 papers of our library" description: "201 papers of the Elamur Research library cite the works of Seungwhan Moon, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/seungwhan-moon/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/seungwhan-moon/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Seungwhan Moon](https://md.research.elamur.ai/free/en/authors/seungwhan-moon/) / cited by # Who cites Seungwhan Moon 204 citations of their works from 201 papers of our library (of the 141,840 whose bibliographies we read) · 14 with a page here, the most cited first · [← Seungwhan Moon](https://md.research.elamur.ai/free/en/authors/seungwhan-moon/) 1. **[A Survey of Large Language Models](https://md.research.elamur.ai/free/en/papers/zhao-2023-survey-large-language-models/) [Frontiers of Computer Science](https://md.research.elamur.ai/free/en/venues/frontiers-of-computer-science/)**Wayne Xin Zhao, Kun Zhou, Junyi Li, et al.*2023 · 2,863 citations* 2. [**A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity arXiv:2302.04023**Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, et al.*2023 · 876 citations*](https://md.research.elamur.ai/free/en/papers/bang-2023-multitask-multilingual-multimodal-evaluation-chatgpt/) 3. **[HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2023-halueval-large-scale-hallucination-evaluation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Junyi Li, Xiaoxue Cheng, Wayne Xin Zhao, et al.*2023 · 647 citations* 4. **[A Survey of the State of Explainable AI for Natural Language Processing](https://md.research.elamur.ai/free/en/papers/danilevsky-2020-survey-state-explainable-ai-natural/) [Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)](https://md.research.elamur.ai/free/en/venues/aacl/)**Marina Danilevsky, Kun Qian, Ranit Aharonov, et al.*2020 · 292 citations* 5. **[Knowledge-Grounded Dialogue Generation with Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/zhao-2020-knowledge-grounded-dialogue-generation-pre/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xueliang Zhao, Wei Wu, Can Xu, et al.*2020 · 245 citations* 6. **[Towards Conversational Recommendation over Multi-Type Dialogs](https://md.research.elamur.ai/free/en/papers/liu-2020-conversational-recommendation-over-multi-type/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zeming Liu, Haifeng Wang, Zheng-Yu Niu, et al.*2020 · 230 citations* 7. **[On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?](https://md.research.elamur.ai/free/en/papers/dziri-2022-origin-hallucinations-conversational-models-is/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Nouha Dziri, Sivan Milton, Mo Yu, et al.*2022 · 205 citations* 8. **[Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs](https://md.research.elamur.ai/free/en/papers/zhang-2020-grounded-conversation-generation-as-guided/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Houyu Zhang, Zhenghao Liu, Chenyan Xiong, et al.*2020 · 183 citations* 9. **[Investigating Pretrained Language Models for Graph-to-Text Generation](https://md.research.elamur.ai/free/en/papers/ribeiro-2021-investigating-pretrained-language-models-graph/) [Workshop on Natural Language Processing for Conversational AI](https://md.research.elamur.ai/free/en/venues/nlp4convai/)**Leonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze, et al.*2021 · 150 citations* 10. **[Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding](https://md.research.elamur.ai/free/en/papers/dziri-2021-neural-path-hunter-reducing-hallucination/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Nouha Dziri, Andrea Madotto, Osmar Zaïane, et al.*2021 · 149 citations* 11. [**GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning**Zilong Zheng, Shuwen Qiu, Lifeng Fan, et al.*2021 · 36 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2021-grice-grammar-based-dataset-recovering/) 12. **[GRAVL-BERT: Graphical Visual-Linguistic Representations for Multimodal Coreference Resolution](https://md.research.elamur.ai/free/en/papers/guo-2022-gravl-bert-graphical-visual-linguistic/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Danfeng Guo, Arpit Gupta, Sanchit Agarwal, et al.*2022 · 6 citations* 13. [**Building Common Ground in Dialogue: A Survey Proceedings of the 2nd LUHME Workshop**Tatiana Anikina, Alina Leippert, Simon Ostermann*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/anikina-2025-building-common-ground-dialogue-survey/) 14. **[K-MIND: Korean Multimodal INteraction Data for Dyadic Conversation Analysis](https://md.research.elamur.ai/free/en/papers/yang-2026-k-mind-korean-multimodal-interaction/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Jae Hee Yang, Yuha Shin, Saim Shin, et al.*2026* 187 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/seungwhan-moon/) — Seungwhan Moon