🧑🔬 Who cites Jackie Chi Kit Cheung533 citations of their works from 471 papers of our library (of the 140 884 whose bibliographies we read) · 78 with a page here, the most cited first · page 1 of 4 · ← Jackie Chi Kit Cheung
Survey of Hallucination in 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 Yue Zhang, Yafu Li, Leyang Cui, et al. 2023 · 962 citations HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models Junyi Li, Xiaoxue Cheng, Wayne Xin Zhao, et al. 2023 · 646 citations Benchmarking Large Language Models in Retrieval-Augmented Generation Jiawei Chen, Hongyu Lin, Xianpei Han, et al. 2023 · 624 citations Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models 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 Shamane Siriwardhana, Rivindu Weerasekera, Elliott Wen, et al. 2023 · 403 citations Discourse-Aware Neural Extractive Text Summarization Jiacheng Xu, Zhe Gan, Yu Cheng, et al. 2019 · 382 citations RARR: Researching and Revising What Language Models Say, Using Language Models Luyu Gao, Zhuyun Dai, Panupong Pasupat, et al. 2023 · 351 citations Reformulating Unsupervised Style Transfer as Paraphrase Generation Kalpesh Krishna, John Wieting, Mohit Iyyer 2020 · 348 citations CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing Zhibin Gou, Zhihong Shao, Yeyun Gong, et al. 2023 · 315 citations A Survey of the State of Explainable AI for Natural Language Processing Marina Danilevsky, Kun Qian, Ranit Aharonov, et al. 2020 · 290 citations On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes Rishabh Agarwal, Nino Vieillard, Yongchao Zhou, et al. 2023 · 288 citations Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation Emily Dinan, Angela Fan, Adina Williams, et al. 2020 · 265 citations CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization Shuyang Cao, Lu Wang 2021 · 257 citations CorefQA: Coreference Resolution as Query-based Span Prediction Wei Wu, Fei Wang, Arianna Yuan, et al. 2020 · 253 citations Hallucinations in 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 Weijia Shi, Xiaochuang Han, Mike Lewis, et al. 2024 · 240 citations Neural CRF Model for Sentence Alignment in Text Simplification Chao Jiang, Mounica Maddela, Wuwei Lan, et al. 2020 · 227 citations How Language Model Hallucinations Can Snowball Muru Zhang, Ofir Press, William Merrill, et al. 2023 · 221 citations Factual Error Correction for Abstractive Summarization Models Meng Cao, Yue Dong, Jiapeng Wu, et al. 2020 · 217 citations Annotating and Modeling Fine-grained Factuality in Summarization Tanya Goyal, Greg Durrett 2021 · 215 citations Towards a Unified Multi-Dimensional Evaluator for Text Generation Ming Zhong, Yang Liu, Da Yin, et al. 2022 · 204 citations Evaluating Large Language Models: A Comprehensive Survey Zishan Guo, Renren Jin, Chuang Liu, et al. 2023 · 177 citations Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al. 2023 · 169 citations Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization Meng Cao, Yue Dong, Jackie Cheung 2022 · 167 citations ↑ back to top
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