--- title: "Who cites Ji-Rong Wen" description: "3413 papers of the Elamur Research library cite the works of Ji-Rong Wen, found in their bibliographies · page 1 of 7; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/ji-rong-wen/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/ji-rong-wen/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Ji-Rong Wen](https://md.research.elamur.ai/free/en/authors/ji-rong-wen/) / cited by # Who cites Ji-Rong Wen 3 847 citations of their works from 3 413 papers of our library (of the 140 884 whose bibliographies we read) · 175 with a page here, the most cited first · page 1 of 7 · [← Ji-Rong Wen](https://md.research.elamur.ai/free/en/authors/ji-rong-wen/) **1** [2](https://md.research.elamur.ai/free/en/authors/ji-rong-wen/cited-by/page/2/) … [7](https://md.research.elamur.ai/free/en/authors/ji-rong-wen/cited-by/page/7/) [next →](https://md.research.elamur.ai/free/en/authors/ji-rong-wen/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 - [A Survey on Evaluation of Large Language Models](https://md.research.elamur.ai/free/en/papers/chang-2023-survey-evaluation-large-language-models/) — Yupeng Chang, Xu Wang, Jindong Wang, et al. · 2023 · 3 640 citations - [A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions](https://md.research.elamur.ai/free/en/papers/huang-2023-survey-hallucination-large-language-models/) — Lei Huang, Weijiang Yu, Weitao Ma, et al. · 2023 · 3 221 citations - [A Survey of Large Language Models](https://md.research.elamur.ai/free/en/papers/zhao-2023-survey-large-language-models/) — Wayne Xin Zhao, Kun Zhou, Junyi Li, et al. · 2023 · 2 847 citations - [Improved Baselines with Visual Instruction Tuning](https://md.research.elamur.ai/free/en/papers/liu-2023-improved-baselines-visual-instruction-tuning/) — Haotian Liu, Chunyuan Li, Yuheng Li, et al. · 2023 · 2 557 citations - [Unifying Large Language Models and Knowledge Graphs: A Roadmap](https://md.research.elamur.ai/free/en/papers/pan-2023-unifying-large-language-models-knowledge/) — Shirui Pan, Linhao Luo, Yufei Wang, et al. · 2023 · 1 545 citations - [A Comprehensive Overview of Large Language Models](https://md.research.elamur.ai/free/en/papers/naveed-2023-comprehensive-overview-large-language-models/) — Humza Naveed, Asad Ullah Khan, Shi Qiu, et al. · 2023 · 1 286 citations - [The Rise and Potential of Large Language Model Based Agents: A Survey](https://md.research.elamur.ai/free/en/papers/xi-2023-rise-potential-large-language/) — Zhiheng Xi, Wenxiang Chen, Xin Guo, et al. · 2023 · 1 262 citations - [M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation](https://md.research.elamur.ai/free/en/papers/chen-2024-m3-embedding-multi-linguality/) — Jianlv Chen, Shitao Xiao, Peitian Zhang, et al. · 2024 · 1 196 citations - [A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly](https://md.research.elamur.ai/free/en/papers/yao-2023-survey-large-language-model-llm/) — Yifan Yao, Jinhao Duan, Kaidi Xu, et al. · 2023 · 1 181 citations - [Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone](https://md.research.elamur.ai/free/en/papers/abdin-2024-phi-3-technical-report-highly/) — Marah Abdin, Jyoti Aneja, Hany Awadalla, et al. · 2024 · 1 113 citations - [A Survey on Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/yin-2023-survey-multimodal-large-language-models/) — Shukang Yin, Chaoyou Fu, Sirui Zhao, et al. · 2023 · 1 060 citations - [LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models](https://md.research.elamur.ai/free/en/papers/zheng-2024-llamafactory-unified-efficient-fine-tuning/) — Yaowei Zheng, Richong Zhang, Junhao Zhang, et al. · 2024 · 1 035 citations - [A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models](https://md.research.elamur.ai/free/en/papers/fan-2024-survey-rag-meeting-llms-towards/) — Wenqi Fan; Yujuan Ding; Liangbo Ning; Shijie Wang; Hengyun Li; Dawei Yin; Tat-Seng Chua;, Qing Li · 2024 · 1 006 citations - [Evaluating Object Hallucination in Large Vision-Language Models](https://md.research.elamur.ai/free/en/papers/li-2023-evaluating-object-hallucination-large-vision/) — Yifan Li, Yifan Du, Kun Zhou, et al. · 2023 · 986 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 - [MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI](https://md.research.elamur.ai/free/en/papers/yue-2023-mmmu-massive-multi-discipline-multimodal/) — Xiang Yue, Yuansheng Ni, Kai Zhang, et al. · 2023 · 948 citations - [Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond](https://md.research.elamur.ai/free/en/papers/yang-2023-harnessing-power-llms-practice-survey/) — Jingfeng Yang, Hongye Jin, Ruixiang Tang, et al. · 2023 · 806 citations - [WizardLM: Empowering large pre-trained language models to follow complex instructions](https://md.research.elamur.ai/free/en/papers/xu-2023-wizardlm-empowering-large-pre-trained/) — Can Xu, Qingfeng Sun, Kai Zheng, et al. · 2023 · 729 citations - [ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools](https://md.research.elamur.ai/free/en/papers/glm-2024-chatglm-family-large-language-models/) — Team GLM, Aohan Zeng, Bin Xu, et al. · 2024 · 687 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 - [MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework](https://md.research.elamur.ai/free/en/papers/hong-2023-metagpt-meta-programming-multi/) — Sirui Hong, Mingchen Zhuge, Jiaqi Chen, et al. · 2023 · 615 citations - [Video-LLaVA: Learning United Visual Representation by Alignment Before Projection](https://md.research.elamur.ai/free/en/papers/lin-2023-video-llava-learning-united-visual/) — Bin Lin, Yang Ye, Bin Zhu, et al. · 2023 · 614 citations - [Text Embeddings by Weakly-Supervised Contrastive Pre-training](https://md.research.elamur.ai/free/en/papers/wang-2022-text-embeddings-weakly-supervised-contrastive/) — Liang Wang, Nan Yang, Xiaolong Huang, et al. · 2022 · 594 citations - [AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation](https://md.research.elamur.ai/free/en/papers/wu-2023-autogen-enabling-next-gen-llm/) — Qingyun Wu, Gagan Bansal, Jieyu Zhang, et al. · 2023 · 584 citations **1** [2](https://md.research.elamur.ai/free/en/authors/ji-rong-wen/cited-by/page/2/) … [7](https://md.research.elamur.ai/free/en/authors/ji-rong-wen/cited-by/page/7/) [next →](https://md.research.elamur.ai/free/en/authors/ji-rong-wen/cited-by/page/2/)