🧑‍🔬 Who cites Jiawei Chen

254 citations of their works from 254 papers of our library (of the 141,840 whose bibliographies we read) · 17 with a page here, the most cited first · ← Jiawei Chen

Survey of Hallucination in Natural Language GenerationACM Computing SurveysZiwei Ji, Nayeon Lee, Rita Frieske, et al.2022 · 5,957 citations
1. Retrieval-Augmented Generation for Large Language Models: A SurveyarXiv:2312.10997Yunfan Gao, Yun Xiong, Xinyu Gao, et al.2023 · 1,648 citations
2. Large Legal Fictions: Profiling Legal Hallucinations in Large Language ModelsarXiv:2401.01301 · Journal of Legal Analysis 16, no. 1 (2024): 64-93Matthew Dahl, Varun Magesh, Mirac Suzgun, et al.2024 · 432 citations
3. A Survey on Large Language Models for Code GenerationarXiv:2406.00515Juyong Jiang, Fan Wang, Jiasi Shen, et al.2024 · 366 citations
4. Hallucination is Inevitable: An Innate Limitation of Large Language ModelsarXiv:2401.11817Ziwei Xu, Sanjay Jain, Mohan Kankanhalli2024 · 309 citations
5. Hallucination-Free? Assessing the Reliability of Leading AI Legal Research ToolsarXiv:2405.20362Varun Magesh, Faiz Surani, Matthew Dahl, et al.2024 · 267 citations
6. Qwen2.5-Omni Technical ReportarXiv:2503.20215Jin Xu, Zhifang Guo, Jinzheng He, et al.2025 · 218 citations
   Knowledge Conflicts for LLMs: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Rongwu Xu, Zehan Qi, Zhijiang Guo, et al.2024 · 179 citations
7. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityarXiv:2310.07521Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 170 citations
   MiniCheck: Efficient Fact-Checking of LLMs on Grounding DocumentsConference on Empirical Methods in Natural Language Processing (EMNLP)Liyan Tang, Philippe Laban, Greg Durrett2024 · 159 citations
   F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow MatchingAnnual Meeting of the Association for Computational Linguistics (ACL)Yushen Chen, Zhikang Niu, Ziyang Ma, et al.2025 · 152 citations
8. Qwen3-Omni Technical ReportarXiv:2509.17765Jin Xu, Zhifang Guo, Hangrui Hu, et al.2025 · 114 citations
9. MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop QueriesarXiv:2401.15391Yixuan Tang, Yi Yang2024 · 103 citations
   Towards Measuring and Modeling “Culture” in LLMs: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Muhammad Farid Adilazuarda, Sagnik Mukherjee, Pradhyumna Lavania, et al.2024 · 102 citations
   Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QAConference on Empirical Methods in Natural Language Processing (EMNLP)Minzheng Wang, Longze Chen, Fu Cheng, et al.2024 · 71 citations
   Uncovering Ideological Bias in RAG with Lexical Multidimensional Analysis: A Case Study on COVID-19Joint Conference on Lexical and Computational Semantics (*SEM)Elmira Salari, Maria Claudia Nunes Delfino, Hazem Amamou, et al.2026
   Huaputong: Large Language Model for Genealogical Question-answering with Knowledge Reasoning (华谱通: 基于知识推理的家谱问答大语言模型)Journal of SoftwareXindong Wu (吴信东), Xingrui Zhuo (卓兴锐), Yongpan Chang (常永泮), et al.2025

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