🧑‍🔬 Who cites Fan Zhang

86 citations of their works from 81 papers of our library (of the 149,439 whose bibliographies we read) · 18 with a page here, the most cited first · ← Fan Zhang

1. Survey of Hallucination in Natural Language GenerationACM Computing SurveysZiwei Ji, Nayeon Lee, Rita Frieske, et al.2022 · 5,974 citations
2. CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Shuyang Cao, Lu Wang2021 · 260 citations
3. Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' AlignmentarXiv:2308.05374Yang Liu; Yuanshun Yao; Jean-Francois Ton; Xiaoying Zhang; Ruocheng Guo; Hao Cheng; Yegor Klochkov; Muhammad Faaiz Taufiq;, Hang Li2023 · 223 citations
4. Measure and Improve Robustness in NLP Models: A SurveyConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Xuezhi Wang, Haohan Wang, Diyi Yang2022 · 148 citations
5. A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence GenerationarXiv:2307.03987Neeraj Varshney; Wenlin Yao; Hongming Zhang; Jianshu Chen;, Dong Yu2023 · 143 citations
6. Improving Factual Consistency of Abstractive Summarization via Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Feng Nan, Cicero Nogueira dos Santos, Henghui Zhu, et al.2021 · 129 citations
7. Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error DetectorsAnnual Meeting of the Association for Computational Linguistics (ACL)Liyan Tang, Tanya Goyal, Alex Fabbri, et al.2023 · 126 citations
8. FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive SummarizationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)David Wan, Mohit Bansal2022 · 101 citations
9. PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment RecognitionFindings of the Association for Computational LinguisticsSihao Chen, Senaka Buthpitiya, Alex Fabrikant, et al.2023 · 31 citations
10. Self-Correcting RAG: Enhancing Faithfulness via MMKP Context Selection and NLI-Guided MCTSFindings of the Association for Computational LinguisticsShijia Xu, Zhou Wu, Xiaolong Jia, et al.2026 · 15 citations
11. RCBSF: A Multi-Agent Framework for Automated Contract Revision via Stackelberg GameFindings of the Association for Computational LinguisticsShijia Xu, Yu Wang, Xiaolong Jia, et al.2026 · 11 citations
12. The Trickle-down Impact of Reward (In-)consistency on RLHFarXiv:2309.16155Lingfeng Shen, Sihao Chen, Linfeng Song, et al.2023 · 11 citations
13. Factual Dialogue Summarization via Learning from Large Language ModelsInternational Conference on Computational Linguistics (COLING)Rongxin Zhu, Jey Han Lau, Jianzhong Qi2025 · 10 citations
14. FinCARDS: Card-Based Analyst Reranking for Financial Document Question AnsweringFindings of the Association for Computational LinguisticsYixi Zhou, Fan Zhang, YU Chen, et al.2026 · 8 citations
15. SAHM: A Benchmark for Arabic Financial and Shari'ah-Compliant ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Rania Elbadry, Sarfraz Ahmad, Ahmed Heakl, et al.2026 · 4 citations
16. FinReporting: An Agentic Workflow for Localized Reporting of Cross-Jurisdiction Financial DisclosureAnnual Meeting of the Association for Computational Linguistics (ACL)Fan Zhang, Mingzi Song, Rania Elbadry, et al.2026 · 3 citations
17. IndustryAssetEQA: A Neurosymbolic Operational Intelligence System for Embodied Question Answering in Industrial Asset MaintenanceAnnual Meeting of the Association for Computational Linguistics (ACL)Chathurangi Shyalika, Dhaval C Patel, Amit Sheth2026 · 1 citation
18. Survey on Hallucinations in Large Language Models (大语言模型的幻觉问题研究综述)Journal of SoftwareZeyuan Liu (刘泽垣), Pengjiang Wang (王鹏江), Xiaobin Song (宋晓斌), et al.2024

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