🧑🔬 Who cites Jun Yan288 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
Survey of Hallucination in Natural Language Generation Ziwei Ji, Nayeon Lee, Rita Frieske, et al. 2022 · 5 947 citations A Survey of 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 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 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 Tianrui Guan, Fuxiao Liu, Xiyang Wu, et al. 2023 · 326 citations Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al. 2024 · 245 citations On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey Lin Long, Rui Wang, Ruixuan Xiao, et al. 2024 · 236 citations COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, et al. 2020 · 235 citations Making Language Models Better Reasoners with Step-Aware Verifier Yifei Li, Zeqi Lin, Shizhuo Zhang, et al. 2023 · 216 citations Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning Shivalika Singh, Freddie Vargus, Daniel D'souza, et al. 2024 · 202 citations Aligning Large Language Models with Human: A Survey 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 Wei Liu, Weihao Zeng, Keqing He, et al. 2023 · 174 citations OpenChat: Advancing Open-source Language Models with Mixed-Quality Data Guan Wang, Sijie Cheng, Xianyuan Zhan, et al. 2023 · 171 citations LESS: Selecting Influential Data for Targeted Instruction Tuning 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 Ming Li, Yong Zhang, Zhitao Li, et al. 2023 · 157 citations Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Zhangchen Xu, Fengqing Jiang, Luyao Niu, et al. 2024 · 144 citations The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, et al. 2023 · 139 citations Self-Alignment with 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 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 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 Daisuke Maekawa, Tomoyuki Kajiwara, Takashi Ninomiya 2026 SmolKalam: Ensemble Quality-Filtered Translation at Scale for High Quality Arabic Post-Training Data Sultan Alrashed, Chadi Helwe, Francesco Orabona 2025 常识问答研究综述 范怡帆, 邹博伟, 徐庆婷, et al. 2023 265 more citing papers of our library have no page here yet.
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