Awesome Survey Paper

Key papers

• Trustworthy Llms: A Survey And Guideline For Evaluating Large Language Models' Alignment (2023)
  Yang Liu, Yuanshun Yao, Jean-Francois Ton, et al.
  27.94
• Large Language Models For Software Engineering: A Systematic Literature Review (2023)
  Xinyi Hou, Yanjie Zhao, Yue Liu, et al.
  27.84
• Efficient Large Language Models: A Survey (2023)
  Zhongwei Wan, Xin Wang, Che Liu, et al.
  27.30
• Evaluating Large Language Models: A Comprehensive Survey (2023)
  Zishan Guo, Renren Jin, Chuang Liu, et al.
  26.82
• Large Language Models On Graphs: A Comprehensive Survey (2023)
  Bowen Jin, Gang Liu, Chi Han, et al.
  26.75
• A Survey On Large Language Models For Code Generation (2024)
  Juyong Jiang, Fan Wang, Jiasi Shen, et al.
  26.64
• Bias And Fairness In Large Language Models: A Survey (2023)
  Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.
  26.54
• Continual Learning Of Large Language Models: A Comprehensive Survey (2024)
  Haizhou Shi, Zihao Xu, Hengyi Wang, et al.
  24.79
• Siren's Song In The AI Ocean: A Survey On Hallucination In Large Language Models (2023)
  Yue Zhang, Yafu Li, Leyang Cui, et al.
  24.78
• Datasets For Large Language Models: A Comprehensive Survey (2024)
  Yang Liu, Jiahuan Cao, Chongyu Liu, et al.
  24.47
• Large Language Model Based Multi-agents: A Survey Of Progress And Challenges (2024)
  Taicheng Guo, Xiuying Chen, Yaqi Wang, et al.
  24.39
• Advancing Transformer Architecture In Long-context Large Language Models: A Comprehensive Survey (2023)
  Yunpeng Huang, Jingwei Xu, Junyu Lai, et al.
  24.27
• A Systematic Survey Of Prompt Engineering In Large Language Models: Techniques And Applications (2024)
  Pranab Sahoo, Ayush Kumar Singh, Sriparna Saha, et al.
  24.27
• LLM360: Towards Fully Transparent Open-source Llms (2023)
  Zhengzhong Liu, Aurick Qiao, Willie Neiswanger, et al.
  24.01
• Tool Learning With Large Language Models: A Survey (2024)
  Changle Qu, Sunhao Dai, Xiaochi Wei, et al.
  23.52
• Instruction Tuning For Large Language Models: A Survey (2023)
  Shengyu Zhang, Linfeng Dong, Xiaoya Li, et al.
  23.46
• Two Tales Of Persona In Llms: A Survey Of Role-playing And Personalization (2024)
  Yu-Min Tseng, Yu-Chao Huang, Teng-Yun Hsiao, et al.
  23.45
• A Survey On Self-evolution Of Large Language Models (2024)
  Zhengwei Tao, Ting-En Lin, Xiancai Chen, et al.
  22.85
• A Comprehensive Survey Of Hallucination Mitigation Techniques In Large Language Models (2024)
  S. M Towhidul Islam Tonmoy, S M Mehedi Zaman, Vinija Jain, et al.
  22.74
• A Survey On Model Compression For Large Language Models (2023)
  Xunyu Zhu, Jian Li, Yong Liu, et al.
  22.69
• A Survey On RAG Meeting Llms: Towards Retrieval-augmented Large Language Models (2024)
  Wenqi Fan, Yujuan Ding, Liangbo Ning, et al.
  21.90
• Explainability For Large Language Models: A Survey (2023)
  Haiyan Zhao, Hanjie Chen, Fan Yang, et al.
  21.79
• Unlocking Efficiency In Large Language Model Inference: A Comprehensive Survey Of Speculative Decoding (2024)
  Heming Xia, Zhe Yang, Qingxiu Dong, et al.
  21.62
• If LLM Is The Wizard, Then Code Is The Wand: A Survey On How Code Empowers Large Language Models To Serve As Intelligent Agents (2024)
  Ke Yang, Jiateng Liu, John Wu, et al.
  21.32
• Large Language Models In Medicine: The Potentials And Pitfalls (2023)
  Jesutofunmi A. Omiye, Haiwen Gui, Shawheen J. Rezaei, et al.
  21.25
• Usable XAI: 10 Strategies Towards Exploiting Explainability In The LLM Era (2024)
  Xuansheng Wu, Haiyan Zhao, Yaochen Zhu, et al.
  21.19
• A Survey Of GPT-3 Family Large Language Models Including Chatgpt And GPT-4 (2023)
  Katikapalli Subramanyam Kalyan
  20.93
• Automatically Correcting Large Language Models: Surveying The Landscape Of Diverse Self-correction Strategies (2023)
  Liangming Pan, Michael Saxon, Wenda Xu, et al.
  20.75
• Head-to-tail: How Knowledgeable Are Large Language Models (llms)? A.K.A. Will Llms Replace Knowledge Graphs? (2023)
  Kai Sun, Yifan Ethan Xu, Hanwen Zha, et al.
  19.97
• Keep The Cost Down: A Review On Methods To Optimize LLM' S Kv-cache Consumption (2024)
  Luohe Shi, Hongyi Zhang, Yao Yao, et al.
  19.35
• Do Llms Exhibit Human-like Response Biases? A Case Study In Survey Design (2023)
  Lindia Tjuatja, Valerie Chen, Sherry Tongshuang Wu, et al.
  19.20
• From Persona To Personalization: A Survey On Role-playing Language Agents (2024)
  Jiangjie Chen, Xintao Wang, Rui Xu, et al.
  19.12
• A Survey On Recent Advances In Llm-based Multi-turn Dialogue Systems (2024)
  Zihao Yi, Jiarui Ouyang, Zhe Xu, et al.
  18.78
• Small Language Models: Survey, Measurements, And Insights (2024)
  Zhenyan Lu, Xiang Li, Dongqi Cai, et al.
  18.50
• Exploring Large Language Model Based Intelligent Agents: Definitions, Methods, And Prospects (2024)
  Yuheng Cheng, Ceyao Zhang, Zhengwen Zhang, et al.
  18.49
• From GPT-4 To Gemini And Beyond: Assessing The Landscape Of Mllms On Generalizability, Trustworthiness And Causality Through Four Modalities (2024)
  Chaochao Lu, Chen Qian, Guodong Zheng, et al.
  18.43
• Emotionally Numb Or Empathetic? Evaluating How Llms Feel Using Emotionbench (2023)
  Jen-Tse Huang, Man Ho Lam, Eric John Li, et al.
  18.40
• Survey On Factuality In Large Language Models: Knowledge, Retrieval And Domain-specificity (2023)
  Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.
  18.40
• The Ultimate Guide To Fine-tuning Llms From Basics To Breakthroughs: An Exhaustive Review Of Technologies, Research, Best Practices, Applied Research Challenges And Opportunities (2024)
  Venkatesh Balavadhani Parthasarathy, Ahtsham Zafar, Aafaq Khan, et al.
  18.34
• Generative Echo Chamber? Effects Of Llm-powered Search Systems On Diverse Information Seeking (2024)
  Nikhil Sharma, Q. Vera Liao, Ziang Xiao
  17.98
• Knowledge Editing For Large Language Models: A Survey (2023)
  Song Wang, Yaochen Zhu, Haochen Liu, et al.
  17.91
• Unleashing The Potential Of Prompt Engineering For Large Language Models (2023)
  Banghao Chen, Zhaofeng Zhang, Nicolas Langrené, et al.
  17.87
• A Survey Of Confidence Estimation And Calibration In Large Language Models (2023)
  Jiahui Geng, Fengyu Cai, Yuxia Wang, et al.
  17.71
• When Can Llms Actually Correct Their Own Mistakes? A Critical Survey Of Self-correction Of Llms (2024)
  Ryo Kamoi, Yusen Zhang, Nan Zhang, et al.
  17.68
• What Is The Role Of Small Models In The LLM Era: A Survey (2024)
  Lihu Chen, Gaël Varoquaux
  17.65
• Homogenization Effects Of Large Language Models On Human Creative Ideation (2024)
  Barrett R. Anderson, Jash Hemant Shah, Max Kreminski
  17.63
• A Survey Of Graph Retrieval-augmented Generation For Customized Large Language Models (2025)
  Qinggang Zhang, Shengyuan Chen, Yuanchen Bei, et al.
  17.48
• Beyond Efficiency: A Systematic Survey Of Resource-efficient Large Language Models (2024)
  Guangji Bai, Zheng Chai, Chen Ling, et al.
  17.30
• Llms Meet Multimodal Generation And Editing: A Survey (2024)
  Yingqing He, Zhaoyang Liu, Jingye Chen, et al.
  16.87
• The PRISM Alignment Dataset: What Participatory, Representative And Individualised Human Feedback Reveals About The Subjective And Multicultural Alignment Of Large Language Models (2024)
  Hannah Rose Kirk, Alexander Whitefield, Paul Röttger, et al.
  16.86
• Towards Measuring And Modeling "culture" In Llms: A Survey (2024)
  Muhammad Farid Adilazuarda, Sagnik Mukherjee, Pradhyumna Lavania, et al.
  16.82
• How Do Large Language Models Capture The Ever-changing World Knowledge? A Review Of Recent Advances (2023)
  Zihan Zhang, Meng Fang, Ling Chen, et al.
  16.81
• Booookscore: A Systematic Exploration Of Book-length Summarization In The Era Of Llms (2023)
  Yapei Chang, Kyle Lo, Tanya Goyal, et al.
  16.80
• "it's A Fair Game", Or Is It? Examining How Users Navigate Disclosure Risks And Benefits When Using Llm-based Conversational Agents (2023)
  Zhiping Zhang, Michelle Jia, Hao-Ping Lee, et al.
  16.80
• Bias Of Ai-generated Content: An Examination Of News Produced By Large Language Models (2023)
  Xiao Fang, Shangkun Che, Minjia Mao, et al.
  16.63
• Who Is Chatgpt? Benchmarking Llms' Psychological Portrayal Using Psychobench (2023)
  Jen-Tse Huang, Wenxuan Wang, Eric John Li, et al.
  16.57
• Large Language Models And Games: A Survey And Roadmap (2024)
  Roberto Gallotta, Graham Todd, Marvin Zammit, et al.
  16.55
• From Understanding To Utilization: A Survey On Explainability For Large Language Models (2024)
  Haoyan Luo, Lucia Specia
  16.39
• Mapping The Increasing Use Of Llms In Scientific Papers (2024)
  Weixin Liang, Yaohui Zhang, Zhengxuan Wu, et al.
  16.36
• Political Compass Or Spinning Arrow? Towards More Meaningful Evaluations For Values And Opinions In Large Language Models (2024)
  Paul Röttger, Valentin Hofmann, Valentina Pyatkin, et al.
  16.36