--- title: "Who cites Jackie Chi Kit Cheung" description: "471 papers of the Elamur Research library cite the works of Jackie Chi Kit Cheung, found in their bibliographies · page 1 of 4; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/jackie-chi-kit-cheung/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jackie-chi-kit-cheung/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Jackie Chi Kit Cheung](https://md.research.elamur.ai/free/en/authors/jackie-chi-kit-cheung/) / cited by # Who cites Jackie Chi Kit Cheung 533 citations of their works from 471 papers of our library (of the 140 884 whose bibliographies we read) · 79 with a page here, the most cited first · page 1 of 4 · [← Jackie Chi Kit Cheung](https://md.research.elamur.ai/free/en/authors/jackie-chi-kit-cheung/) **1** [2](https://md.research.elamur.ai/free/en/authors/jackie-chi-kit-cheung/cited-by/page/2/) [3](https://md.research.elamur.ai/free/en/authors/jackie-chi-kit-cheung/cited-by/page/3/) [4](https://md.research.elamur.ai/free/en/authors/jackie-chi-kit-cheung/cited-by/page/4/) [next →](https://md.research.elamur.ai/free/en/authors/jackie-chi-kit-cheung/cited-by/page/2/) - [Survey of Hallucination in Natural Language Generation](https://md.research.elamur.ai/free/en/papers/ji-2022-survey-hallucination-natural-language-generation/) — Ziwei Ji, Nayeon Lee, Rita Frieske, et al. · 2022 · 5 947 citations - [Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2023-siren-s-song-ai-ocean/) — Yue Zhang, Yafu Li, Leyang Cui, et al. · 2023 · 962 citations - [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/) — Junyi Li, Xiaoxue Cheng, Wayne Xin Zhao, et al. · 2023 · 646 citations - [Benchmarking Large Language Models in Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/chen-2023-benchmarking-large-language-models-retrieval/) — Jiawei Chen, Hongyu Lin, Xianpei Han, et al. · 2023 · 624 citations - [Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models](https://md.research.elamur.ai/free/en/papers/dahl-2024-large-legal-fictions-profiling-legal/) — Matthew Dahl, Varun Magesh, Mirac Suzgun, et al. · 2024 · 431 citations - [Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering](https://md.research.elamur.ai/free/en/papers/siriwardhana-2023-improving-domain-adaptation-retrieval-augmented/) — Shamane Siriwardhana, Rivindu Weerasekera, Elliott Wen, et al. · 2023 · 403 citations - [Discourse-Aware Neural Extractive Text Summarization](https://md.research.elamur.ai/free/en/papers/xu-2019-discourse-aware-neural-extractive-text/) — Jiacheng Xu, Zhe Gan, Yu Cheng, et al. · 2019 · 382 citations - [RARR: Researching and Revising What Language Models Say, Using Language Models](https://md.research.elamur.ai/free/en/papers/gao-2023-rarr-researching-revising-what-language/) — Luyu Gao, Zhuyun Dai, Panupong Pasupat, et al. · 2023 · 351 citations - [Reformulating Unsupervised Style Transfer as Paraphrase Generation](https://md.research.elamur.ai/free/en/papers/krishna-2020-reformulating-unsupervised-style-transfer-as/) — Kalpesh Krishna, John Wieting, Mohit Iyyer · 2020 · 348 citations - [CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing](https://md.research.elamur.ai/free/en/papers/gou-2023-critic-large-language-models-self/) — Zhibin Gou, Zhihong Shao, Yeyun Gong, et al. · 2023 · 315 citations - [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/) — Marina Danilevsky, Kun Qian, Ranit Aharonov, et al. · 2020 · 290 citations - [On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes](https://md.research.elamur.ai/free/en/papers/agarwal-2023-policy-distillation-language-models-learning/) — Rishabh Agarwal, Nino Vieillard, Yongchao Zhou, et al. · 2023 · 288 citations - [Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation](https://md.research.elamur.ai/free/en/papers/dinan-2020-queens-are-powerful-too-mitigating/) — Emily Dinan, Angela Fan, Adina Williams, et al. · 2020 · 265 citations - [CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/cao-2021-cliff-contrastive-learning-improving-faithfulness/) — Shuyang Cao, Lu Wang · 2021 · 257 citations - [CorefQA: Coreference Resolution as Query-based Span Prediction](https://md.research.elamur.ai/free/en/papers/wu-2020-corefqa-coreference-resolution-as-query/) — Wei Wu, Fei Wang, Arianna Yuan, et al. · 2020 · 253 citations - [Hallucinations in Large Multilingual Translation Models](https://md.research.elamur.ai/free/en/papers/guerreiro-2023-hallucinations-large-multilingual-translation-models/) — Nuno M. Guerreiro, Duarte M. Alves, Jonas Waldendorf, et al. · 2023 · 244 citations - [Trusting Your Evidence: Hallucinate Less with Context-aware Decoding](https://md.research.elamur.ai/free/en/papers/shi-2024-trusting-your-evidence-hallucinate-less/) — Weijia Shi, Xiaochuang Han, Mike Lewis, et al. · 2024 · 240 citations - [Neural CRF Model for Sentence Alignment in Text Simplification](https://md.research.elamur.ai/free/en/papers/jiang-2020-neural-crf-model-sentence-alignment/) — Chao Jiang, Mounica Maddela, Wuwei Lan, et al. · 2020 · 227 citations - [How Language Model Hallucinations Can Snowball](https://md.research.elamur.ai/free/en/papers/zhang-2023-language-model-hallucinations-snowball/) — Muru Zhang, Ofir Press, William Merrill, et al. · 2023 · 221 citations - [Factual Error Correction for Abstractive Summarization Models](https://md.research.elamur.ai/free/en/papers/cao-2020-factual-error-correction-abstractive-summarization/) — Meng Cao, Yue Dong, Jiapeng Wu, et al. · 2020 · 217 citations - [Annotating and Modeling Fine-grained Factuality in Summarization](https://md.research.elamur.ai/free/en/papers/goyal-2021-annotating-modeling-fine-grained-factuality/) — Tanya Goyal, Greg Durrett · 2021 · 215 citations - [Towards a Unified Multi-Dimensional Evaluator for Text Generation](https://md.research.elamur.ai/free/en/papers/zhong-2022-unified-multi-dimensional-evaluator-text/) — Ming Zhong, Yang Liu, Da Yin, et al. · 2022 · 204 citations - [Evaluating Large Language Models: A Comprehensive Survey](https://md.research.elamur.ai/free/en/papers/guo-2023-evaluating-large-language-models-comprehensive/) — Zishan Guo, Renren Jin, Chuang Liu, et al. · 2023 · 177 citations - [Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity](https://md.research.elamur.ai/free/en/papers/wang-2023-survey-factuality-large-language-models/) — Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al. · 2023 · 169 citations - [Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/cao-2022-hallucinated-but-factual-inspecting-factuality/) — Meng Cao, Yue Dong, Jackie Cheung · 2022 · 167 citations **1** [2](https://md.research.elamur.ai/free/en/authors/jackie-chi-kit-cheung/cited-by/page/2/) [3](https://md.research.elamur.ai/free/en/authors/jackie-chi-kit-cheung/cited-by/page/3/) [4](https://md.research.elamur.ai/free/en/authors/jackie-chi-kit-cheung/cited-by/page/4/) [next →](https://md.research.elamur.ai/free/en/authors/jackie-chi-kit-cheung/cited-by/page/2/)