---
title: "Who cites Jun Yan"
description: "288 papers of the Elamur Research library cite the works of Jun Yan, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/jun-yan/cited-by/"
---
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# Who cites Jun Yan

288 citations of their works from 288 papers of our library (of the 140 884 whose bibliographies we read) · 23 with a page here, the most cited first · [← Jun Yan](https://md.research.elamur.ai/free/en/authors/jun-yan/)

- [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 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
- [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
- [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
- [HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models](https://md.research.elamur.ai/free/en/papers/guan-2023-hallusionbench-advanced-diagnostic-suite-entangled/) — Tianrui Guan, Fuxiao Liu, Xiyang Wu, et al. · 2023 · 326 citations
- [Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model](https://md.research.elamur.ai/free/en/papers/ustun-2024-aya-model-instruction-finetuned-open/) — Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al. · 2024 · 245 citations
- [On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey](https://md.research.elamur.ai/free/en/papers/long-2024-llms-driven-synthetic-data-generation/) — Lin Long, Rui Wang, Ruixuan Xiao, et al. · 2024 · 236 citations
- [COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs](https://md.research.elamur.ai/free/en/papers/hwang-2020-comet-atomic-2020-symbolic-neural/) — Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, et al. · 2020 · 235 citations
- [Making Language Models Better Reasoners with Step-Aware Verifier](https://md.research.elamur.ai/free/en/papers/li-2023-making-language-models-better-reasoners/) — Yifei Li, Zeqi Lin, Shizhuo Zhang, et al. · 2023 · 216 citations
- [Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning](https://md.research.elamur.ai/free/en/papers/singh-2024-aya-dataset-open-access-collection/) — Shivalika Singh, Freddie Vargus, Daniel D'souza, et al. · 2024 · 202 citations
- [Aligning Large Language Models with Human: A Survey](https://md.research.elamur.ai/free/en/papers/wang-2023-aligning-large-language-models-human/) — Yufei Wang, Wanjun Zhong, Liangyou Li, et al. · 2023 · 199 citations
- [What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning](https://md.research.elamur.ai/free/en/papers/liu-2023-makes-good-data-alignment-comprehensive/) — Wei Liu, Weihao Zeng, Keqing He, et al. · 2023 · 174 citations
- [OpenChat: Advancing Open-source Language Models with Mixed-Quality Data](https://md.research.elamur.ai/free/en/papers/wang-2023-openchat-advancing-open-source-language/) — Guan Wang, Sijie Cheng, Xianyuan Zhan, et al. · 2023 · 171 citations
- [LESS: Selecting Influential Data for Targeted Instruction Tuning](https://md.research.elamur.ai/free/en/papers/xia-2024-less-selecting-influential-data-targeted/) — Mengzhou Xia, Sadhika Malladi, Suchin Gururangan, et al. · 2024 · 170 citations
- [From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning](https://md.research.elamur.ai/free/en/papers/li-2023-quantity-quality-boosting-llm-performance/) — Ming Li, Yong Zhang, Zhitao Li, et al. · 2023 · 157 citations
- [Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing](https://md.research.elamur.ai/free/en/papers/xu-2024-magpie-alignment-data-synthesis-scratch/) — Zhangchen Xu, Fengqing Jiang, Luyao Niu, et al. · 2024 · 144 citations
- [The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning](https://md.research.elamur.ai/free/en/papers/lin-2023-unlocking-spell-base-llms-rethinking/) — Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, et al. · 2023 · 139 citations
- [Self-Alignment with Instruction Backtranslation](https://md.research.elamur.ai/free/en/papers/li-2023-self-alignment-instruction-backtranslation/) — Xian Li, Ping Yu, Chunting Zhou, et al. · 2023 · 131 citations
- [Children's English Reading Story Generation via Supervised Fine-Tuning of Compact LLMs with Controllable Difficulty and Safety](https://md.research.elamur.ai/free/en/papers/shen-2026-children-s-english-reading-story/) — Qian Shen, Fanghua Cao, Min Yao, et al. · 2026 · 1 citation
- [QA-KGNet: 一种语言模型驱动的知识图谱问答模型](https://md.research.elamur.ai/free/en/papers/qiao-2023-qa-kgnet-language/) — 乔少杰, 杨国平, 于泳, et al. · 2023 · 1 citation
- [Parallel Corpus Filtering Based on Semantic Similarity and Surface Dissimilarity for Japanese Text Simplification with LLMs](https://md.research.elamur.ai/free/en/papers/maekawa-2026-parallel-corpus-filtering-based-semantic/) — Daisuke Maekawa, Tomoyuki Kajiwara, Takashi Ninomiya · 2026
- [SmolKalam: Ensemble Quality-Filtered Translation at Scale for High Quality Arabic Post-Training Data](https://md.research.elamur.ai/free/en/papers/alrashed-2025-smolkalam-ensemble-quality-filtered-translation/) — Sultan Alrashed, Chadi Helwe, Francesco Orabona · 2025
- [常识问答研究综述](https://md.research.elamur.ai/free/en/papers/fan-2023-commonsense-question-answering/) — 范怡帆, 邹博伟, 徐庆婷, et al. · 2023

265 more citing papers of our library have no page here yet.
