🧑🔬 Who cites Hongxin Zhang307 citations of their works from 287 papers of our library (of the 140 884 whose bibliographies we read) · 31 with a page here, the most cited first · page 1 of 2 · ← Hongxin Zhang
A Survey of Large Language Models Wayne Xin Zhao, Kun Zhou, Junyi Li, et al. 2023 · 2 847 citations Qwen Technical Report Jinze Bai, Shuai Bai, Yunfei Chu, et al. 2023 · 1 643 citations A Comprehensive Overview of Large Language Models Humza Naveed, Asad Ullah Khan, Shi Qiu, et al. 2023 · 1 286 citations A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly Yifan Yao, Jinhao Duan, Kaidi Xu, et al. 2023 · 1 181 citations Can Large Language Models Transform Computational Social Science? Caleb Ziems, William Held, Omar Shaikh, et al. 2023 · 776 citations WizardLM: Empowering large pre-trained language models to follow complex instructions Can Xu, Qingfeng Sun, Kai Zheng, et al. 2023 · 729 citations Jailbroken: How Does LLM Safety Training Fail? Alexander Wei, Nika Haghtalab, Jacob Steinhardt 2023 · 659 citations Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting Miles Turpin, Julian Michael, Ethan Perez, et al. 2023 · 568 citations Large Language Models: A Survey Shervin Minaee, Tomas Mikolov, Narjes Nikzad, et al. 2024 · 467 citations Enhancing Chat Language Models by Scaling High-quality Instructional Conversations Ning Ding, Yulin Chen, Bokai Xu, et al. 2023 · 382 citations Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To! Xiangyu Qi, Yi Zeng, Tinghao Xie, et al. 2023 · 331 citations "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models Xinyue Shen, Zeyuan Chen, Michael Backes, et al. 2023 · 320 citations From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models Shangbin Feng, Chan Young Park, Yuhan Liu, et al. 2023 · 305 citations Large Language Models for Data Annotation and Synthesis: A Survey Zhen Tan, Dawei Li, Song Wang, et al. 2024 · 259 citations A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models S.M Towhidul Islam Tonmoy, S M Mehedi Zaman, Vinija Jain, et al. 2024 · 246 citations On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey Lin Long, Rui Wang, Ruixuan Xiao, et al. 2024 · 236 citations Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision Zhiqing Sun, Yikang Shen, Qinhong Zhou, et al. 2023 · 232 citations TrustLLM: Trustworthiness in Large Language Models Yue Huang, Lichao Sun, Haoran Wang, et al. 2024 · 226 citations Safe RLHF: Safe Reinforcement Learning from Human Feedback Josef Dai, Xuehai Pan, Ruiyang Sun, et al. 2023 · 207 citations Aligning Large Language Models with Human: A Survey Yufei Wang, Wanjun Zhong, Liangyou Li, et al. 2023 · 199 citations Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias Yue Yu, Yuchen Zhuang, Jieyu Zhang, et al. 2023 · 198 citations RRHF: Rank Responses to Align Language Models with Human Feedback without tears Zheng Yuan, Hongyi Yuan, Chuanqi Tan, et al. 2023 · 194 citations The Prompt Report: A Systematic Survey of Prompt Engineering Techniques Sander Schulhoff, Michael Ilie, Nishant Balepur, et al. 2024 · 187 citations Evaluating Large Language Models: A Comprehensive Survey Zishan Guo, Renren Jin, Chuang Liu, et al. 2023 · 177 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 ↑ back to top
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