Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

Liu, Pengfei, Yuan, Weizhe, Fu, Jinlan, Jiang, Zhengbao, Hayashi, Hiroaki, Neubig, Graham·2023·ACM Computing Surveys

Cited by (3,926)

Items 301–400 of 3,926

  1. Integrating action knowledge and LLMs for task planning and situation handling in open worlds
    Yan Fang Ding, Xiaohan Zhang, Saeid Amiri, Nieqing Cao, Hao Yang, Andy Kaminski, Chad Esselink, Shiqi Zhang · 2023 · Autonomous Robots
  2. Graph Neural Prompting with Large Language Models
    Yijun Tian, Huan Song, Zichen Wang, Haozhu Wang, Ziqing Hu, Fang Wang, Nitesh V. Chawla, Panpan Xu · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
  3. AppPoet: Large language model based android malware detection via multi-view prompt engineering
    Wenxiang Zhao, Juntao Wu, Zhaoyi Meng · 2024 · Expert Systems with Applications
  4. Progress and opportunities of foundation models in bioinformatics
    Qing Li, Zhihang Hu, Yixuan Wang, Lei Li, Yimin Fan, Irwin King, Gengjie Jia, Sheng Wang, Le Song, Yu Li · 2024 · Briefings in Bioinformatics
  5. Understanding LLMs: A comprehensive overview from training to inference
    Yiheng Liu, Hao He, Tianle Han, Xu Zhang, Mengyuan Liu, Jiaming Tian, Yutong Zhang, Jiaqi Wang, Xiaohui Gao, Tianyang Zhong et al. · 2024 · Neurocomputing
  6. Exploring the frontiers of LLMs in psychological applications: a comprehensive review
    Luoma Ke, Song Tong, Peng Cheng, Kaiping Peng · 2025 · Artificial Intelligence Review
  7. Paper Plain : Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing
    Tal August, Lucy Lu Wang, Jonathan Bragg, Marti A. Hearst, Andrew Head, Kyle Lo · 2023 · ACM Transactions on Computer-Human Interaction
  8. Smart Mining With Autonomous Driving in Industry 5.0: Architectures, Platforms, Operating Systems, Foundation Models, and Applications
    Long Chen, Yuchen Li, Wushouer Silamu, Qingquan Li, Shirong Ge, Fei–Yue Wang · 2024 · IEEE Transactions on Intelligent Vehicles
  9. A Survey of Optimization-Based Task and Motion Planning: From Classical to Learning Approaches
    Zhigen Zhao, Shuo Cheng, Yan Fang Ding, Ziyi Zhou, Shiqi Zhang, Danfei Xu, Ye Zhao · 2024 · IEEE/ASME Transactions on Mechatronics
  10. Prompt–RSVQA: Prompting visual context to a language model for Remote Sensing Visual Question Answering
    Christel Chappuis, Valérie Zermatten, Sylvain Lobry, Bertrand Le Saux, Devis Tuia · 2022 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  11. A Survey on Cross-Lingual Summarization
    Jiaan Wang, Fandong Meng, Duo Zheng, Yunlong Liang, Zhixu Li, Jianfeng Qu, Jie Zhou · 2022 · Transactions of the Association for Computational Linguistics
  12. SafeFL: MPC-friendly Framework for Private and Robust Federated Learning
    Till Gehlhar, Felix Marx, Thomas H. Schneider, Ajith Suresh, Tobias Wehrle, Hossein Yalame · 2023 · IEEE Security and Privacy Workshops (SPW)
  13. FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation
    Yan Wang, Jian Cheng, Yixin Chen, Shuai Shao, Lanyun Zhu, Zhenzhou Wu, Tao Liu, Haogang Zhu · 2023 · IEEE Transactions on Medical Imaging
  14. Understanding and Improving Visual Prompting: A Label-Mapping Perspective
    Aochuan Chen, Yuguang Yao, Pin‐Yu Chen, Yihua Zhang, Sijia Liu · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  15. FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training
    Adrian Bulat, Ricardo Guerrero, Brais Martínez, Georgios Tzimiropoulos · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  16. Construction contract risk identification based on knowledge-augmented language models
    Saika Wong, Chunmo Zheng, Xing Su, Yinqiu Tang · 2024 · Computers in Industry
  17. Artificial General Intelligence for Medical Imaging Analysis
    Xiang Li, Lin Zhao, Lu Zhang, Zihao Wu, Zhengliang Liu, Hanqi Jiang, Chao Cao, Shaochen Xu, Yiwei Li, Haixing Dai et al. · 2024 · IEEE Reviews in Biomedical Engineering
  18. CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
    Gou, Zhibin, Shao, Zhihong, Gong, Yeyun, Shen, Yelong, Yang, Yujiu, Duan, Nan, Chen, Weizhu · 2023 · arXiv
  19. Evolving code with a large language model
    Erik Hemberg, Stephen Moskal, Una-May O’Reilly · 2024 · Genetic Programming and Evolvable Machines
  20. Open challenges and opportunities in federated foundation models towards biomedical healthcare
    Xingyu Li, Lu Peng, Yu‐Ping Wang, Weihua Zhang · 2025 · BioData Mining
  21. From Programming to Prompting: Developing Computational Thinking through Large Language Model-Based Generative Artificial Intelligence
    Hsiao-Ping Hsu · 2025 · TechTrends
  22. Evaluating the Performance of Code Generation Models for Solving Parsons Problems With Small Prompt Variations
    Reeves, Brent, Sarsa, Sami, Prather, James, Denny, Paul, Becker, Brett A., Hellas, Arto, Kimmel, Bailey, Powell, Garrett, Leinonen, Juho · 2023 · Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1
  23. Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models
    Hongzhan Lin, Ziyang Luo, Wei Guang Gao, Jing Ma, Bo Wang, Ruichao Yang · 2024 · International World Wide Web Conference (WWW)
  24. Visual cognition in multimodal large language models
    Schulze Buschoff, Luca M., Akata, Elif, Bethge, Matthias, Schulz, Eric · 2025 · Nature Machine Intelligence
  25. PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains
    Ben-David, Eyal, Oved, Nadav, Reichart, Roi · 2022 · Transactions of the Association for Computational Linguistics
  26. LLMaAA: Making Large Language Models as Active Annotators
    Ruoyu Zhang, Yanzeng Li, Yongliang Ma, Ming Quan Zhou, Lei Zou · 2023 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
  27. Revisiting Large Language Models as Zero-shot Relation Extractors
    Guozheng Li, Peng Wang, Wenjun Ke · 2023 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
  28. Scaling Down to Scale Up: A Cost-Benefit Analysis of Replacing OpenAI's LLM with Open Source SLMs in Production
    Chandra Irugalbandara, Ashish Mahendra, Roland Daynauth, Tharuka Kasthuri Arachchige, Jayanaka L. Dantanarayana, Krisztián Flautner, Lingjia Tang, Yiping Kang, Jason Mars · 2024 · IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)
  29. ChatCNC: Conversational machine monitoring via large language model and real-time data retrieval augmented generation
    Jurim Jeon, Yuseop Sim, Ho‐Jun Lee, Changheon Han, Dongjun Yun, Eunseob Kim, Shreya Laxmi Nagendra, Martin Byung‐Guk Jun, Y.‐M. Kim, Jiho Lee et al. · 2025 · Journal of Manufacturing Systems
  30. Graph Foundation Models: Concepts, Opportunities and Challenges
    Jiawei Liu, Cheng Hong Yang, Zhiyuan Lu, Junze Chen, Yibo Li, Mengmei Zhang, Ting Bai, Yuan Fang, Lichao Sun, Philip S. Yu et al. · 2025 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  31. GeoLayoutLM: Geometric Pre-training for Visual Information Extraction
    Chuwei Luo, Changxu Cheng, Qi Zheng, Cong Yao · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  32. TransTIC: Transferring Transformer-based Image Compression from Human Perception to Machine Perception
    Yi‐Hsin Chen, Ying-Chieh Weng, Chia-Hao Kao, Cheng Chien, Wei-Chen Chiu, Wen-Hsiao Peng · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  33. Robust Visual Question Answering: Datasets, Methods, and Future Challenges
    Jie Ma, Pinghui Wang, Dechen Kong, Zewei Wang, Jun Liu, Hongbin Pei, Junzhou Zhao · 2024 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  34. How Good Is ChatGPT at Face Biometrics? A First Look Into Recognition, Soft Biometrics, and Explainability
    Ivan DeAndres-Tame, Rubén Tolosana, Rubén Vera-Rodríguez, Aythami Morales, Julián Fiérrez, Javier Ortega-García · 2024 · IEEE Access
  35. C2Ideas: Supporting Creative Interior Color Design Ideation with a Large Language Model
    Yihan Hou, Manling Yang, Hao Cui, Lei Wang, Jie Xu, Wei Zeng · 2024 · CHI Conference on Human Factors in Computing Systems
  36. Intelligent Agents with LLM-based Process Automation
    Yanchu Guan, Dong Wang, Zhixuan Chu, Shiyu Wang, Feiyue Ni, Ruihua Song, Chenyi Zhuang · 2024 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
  37. Evaluation of LLM-based chatbots for OSINT-based Cyber Threat Awareness
    Samaneh Shafee, Alysson Bessani, Pedro Ferreira · 2024 · Expert Systems with Applications
  38. Action-GPT: Leveraging Large-scale Language Models for Improved and Generalized Action Generation
    Sai Shashank Kalakonda, Shubh Maheshwari, Ravi Kiran Sarvadevabhatla · 2023 · IEEE International Conference on Multimedia and Expo (ICME)
  39. Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models
    Shuai Zhao, Jinming Wen, Anh N. Luu, Junbo Zhao, Jie Fu · 2023 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
  40. Scene-Driven Multimodal Knowledge Graph Construction for Embodied AI
    Yaoxian Song, Penglei Sun, Haoyu Liu, Zhixu Li, Wei Song, Yanghua Xiao, Xiaofang Zhou · 2024 · IEEE Transactions on Knowledge and Data Engineering
  41. Towards a Catalog of Prompt Patterns to Enhance the Discipline of Prompt Engineering
    Douglas C. Schmidt, Jesse B. Spencer-Smith, Quchen Fu, Jules White · 2024 · ACM SIGAda Ada Letters
  42. Assessing the utility of large language models for phenotype-driven gene prioritization in the diagnosis of rare genetic disease
    Kim, Junyoung, Wang, Kai, Weng, Chunhua, Liu, Cong · 2024 · The American Journal of Human Genetics
  43. Formal requirements engineering and large language models: A two-way roadmap
    Alessio Ferrari, Paola Spoletini · 2025 · Information and Software Technology
  44. Chatgpt: Jack of All Trades, Master of None
    Jan Kocoń, Igor Cichecki, Oliwier Kaszyca et al. · 2023 · SSRN Electronic Journal
  45. Learning Federated Visual Prompt in Null Space for MRI Reconstruction
    Chun-Mei Feng, Bangjun Li, Xinxing Xu, Yong Liu, Huazhu Fu, Wangmeng Zuo · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  46. In-context operator learning with data prompts for differential equation problems
    Liu Yang, Siting Liu, Tingwei Meng, Stanley Osher · 2023 · Proceedings of the National Academy of Sciences
  47. SSTtrack: A unified hyperspectral video tracking framework via modeling spectral-spatial-temporal conditions
    Yuzeng Chen, Qiangqiang Yuan, Yuqi Tang, Yi Xiao, Jiang He, Te Han, Zhenqi Liu, Liangpei Zhang · 2024 · Information Fusion
  48. Towards Large-Scale 3D Representation Learning with Multi-Dataset Point Prompt Training
    Xiaoyang Wu, Zhuotao Tian, Xin Wen, Bohao Peng, Xihui Liu, Kaicheng Yu, Hengshuang Zhao · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  49. PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations
    Yuhao Wang, Xiangyu Zhao, Bo Chen, Qidong Liu, Huifeng Guo, Huanshuo Liu, Yichao Wang, Rui Zhang, Ruiming Tang · 2023 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
  50. LM vs LM: Detecting Factual Errors via Cross Examination
    Cohen, Roi, Hamri, May, Geva, Mor, Globerson, Amir · 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  51. Multitask Vision-Language Prompt Tuning
    Sheng Shen, Shijia Yang, Tianjun Zhang, Bohan Zhai, Joseph E. Gonzalez, Kurt Keutzer, Trevor Darrell · 2024 · IEEE Winter Conference on Applications of Computer Vision
  52. A Unified Review of Deep Learning for Automated Medical Coding
    Shaoxiong Ji, Xiaobo Li, Wei Sun, Hang Dong, Ara Taalas, Yijia Zhang, Honghan Wu, Esa Pitkänen, Pekka Marttinen · 2024 · ACM Computing Surveys
  53. Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets
    Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Xiang Li, Wei Ye, Jindong Wang, Guosheng Hu, Marios Savvides · 2024 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  54. Accelerating Software Development Using Generative AI: ChatGPT Case Study
    Rajbhoj, Asha, Somase, Akanksha, Kulkarni, Piyush, Kulkarni, Vinay · 2024 · Proceedings of the 17th Innovations in Software Engineering Conference
  55. Potential of multimodal large language models for data mining of medical images and free-text reports
    Zhang, Yutong, Pan, Yi, Zhong, Tianyang, Dong, Peixin, Xie, Kangni, Liu, Yuxiao, Jiang, Hanqi, Wu, Zihao, Liu, Zhengliang, Zhao, Wei et al. · 2024 · Meta-Radiology
  56. WordTransABSA: Enhancing Aspect-based Sentiment Analysis with masked language modeling for affective token prediction
    Weiqiang Jin, Biao Zhao, Yu Zhang, Jia Huang, Hang Yu · 2023 · Expert Systems with Applications
  57. Log Parsing: How Far Can ChatGPT Go?
    Van-Hoang Le, Hongyu Zhang · 2023 · IEEE/ACM International Conference on Automated Software Engineering (ASE)
  58. CT Image Denoising and Deblurring With Deep Learning: Current Status and Perspectives
    Yiming Lei, Chuang Niu, Junping Zhang, Ge Wang, Hongming Shan · 2023 · IEEE Transactions on Radiation and Plasma Medical Sciences
  59. CPMI-ChatGLM: parameter-efficient fine-tuning ChatGLM with Chinese patent medicine instructions
    Can Liu, Kaijie Sun, Qingqing Zhou, Yuchen Duan, Jianhua Shu, Hongxing Kan, Zongyun Gu, Jili Hu · 2024 · Scientific Reports
  60. SpecGen: Automated Generation of Formal Program Specifications via Large Language Models
    Lezhi Ma, Shangqing Liu, Yi Li, Xiaofei Xie, Lei Bu · 2025 · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)
  61. Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering
    Baek, Jinheon, Aji, Alham, Saffari, Amir · 2023 · Proceedings of the First Workshop on Matching From Unstructured and Structured Data (MATCHING 2023)
  62. DeepFake-Adapter: Dual-Level Adapter for DeepFake Detection
    Shao, Rui, Wu, Tianxing, Nie, Liqiang, Liu, Ziwei · 2025 · International Journal of Computer Vision
  63. ADAPT: Vision-Language Navigation with Modality-Aligned Action Prompts
    Bingqian Lin, Yi Zhu, Zicong Chen, Xiwen Liang, Jianzhuang Liu, Xiaodan Liang · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  64. Systems engineering issues for industry applications of large language model
    Wang Chen, Liu Yan-yi, Guo Tie-zheng, Dapeng Li, He Tao, Zhi Li, Qingwen Yang, Wang Hui-han, Wen Ying-you · 2023 · Applied Soft Computing
  65. Exploring low-resource medical image classification with weakly supervised prompt learning
    Fudan Zheng, Jindong Cao, Weijiang Yu, Zhiguang Chen, Nong Xiao, Yutong Lu · 2024 · Pattern Recognition
  66. Assessing question characteristic influences on ChatGPT's performance and response-explanation consistency: Insights from Taiwan's Nursing Licensing Exam
    Mei-Chin Su, Li-En Lin, Li-Hwa Lin, Yu‐Chun Chen · 2024 · International Journal of Nursing Studies
  67. Clinical Prompt Learning With Frozen Language Models
    Niall Taylor, Yi Zhang, Dan W. Joyce, Ziming Gao, Andrey Kormilitzin, Alejo J. Nevado‐Holgado · 2023 · IEEE Transactions on Neural Networks and Learning Systems
  68. SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency
    Cong Wang, Jinshan Pan, Wanyu Lin, Jiangxin Dong, Wei William Wang, Xiao-Ming Wu · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
  69. Zero-shot urban function inference with street view images through prompting a pretrained vision-language model
    Weiming Huang, Jing Wang, Gao Cong · 2024 · International Journal of Geographical Information Systems
  70. Between tech and text: the use of generative AI in Palestinian universities - a ChatGPT case study
    Bilal Tawfiq Hamamra, Asala Mayaleh, Zuheir N. Khlaif · 2024 · Cogent Education
  71. LLM for Data Management
    Guoliang Li, Xuanhe Zhou, Xinyang Zhao · 2024 · Proceedings of the VLDB Endowment
  72. Customizing Emotional Support: How Do Individuals Construct and Interact With LLM-Powered Chatbots
    Xi Zheng, Zhuoyang Li, Xinning Gui, Yuhan Luo · 2025 · CHI Conference on Human Factors in Computing Systems
  73. Sketchar: Supporting Character Design and Illustration Prototyping Using Generative AI
    Ling, Long, Chen, Xinyi, Wen, Ruoyu, Li, Toby Jia-Jun, LC, RAY · 2024 · Proceedings of the ACM on Human-Computer Interaction
  74. Using ChatGPT for Entity Matching
    Ralph Peeters, Christian Bizer · 2023 · Communications in computer and information science
  75. FoodSAM: Any Food Segmentation
    Xing Lan, Jiayi Lyu, Hanyu Jiang, Kun Dong, Zehai Niu, Yi Zhang, Jian Xue · 2023 · IEEE Transactions on Multimedia
  76. Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation
    Ziyang Chen, Yongsheng Pan, Yiwen Ye, Mengkang Lu, Yong Xia · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  77. EarthMarker: A Visual Prompting Multimodal Large Language Model for Remote Sensing
    Wei Zhang, Miaoxin Cai, Tong Zhang, Yin Zhuang, Jun Li, Xuerui Mao · 2024 · IEEE Transactions on Geoscience and Remote Sensing
  78. Short-Text Semantic Similarity (STSS): Techniques, Challenges and Future Perspectives
    Zaira Hassan Amur, Yew Kwang Hooi, Hina Bhanbhro, Kamran Dahri, Gul Muhammad Soomro · 2023 · Applied Sciences
  79. Prompt-Based Learning for Unpaired Image Captioning
    Peipei Zhu, Xiao Wang, Lin Zhu, Zhenglong Sun, Wei‐Shi Zheng, Yaowei Wang, Chang Wen Chen · 2023 · IEEE Transactions on Multimedia
  80. 1% VS 100%: Parameter-Efficient Low Rank Adapter for Dense Predictions
    Dongshuo Yin, Yiran Yang, Zhechao Wang, Hongfeng Yu, Kaiwen Wei, Xian Sun · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  81. What is the limitation of multimodal LLMs? A deeper look into multimodal LLMs through prompt probing
    Shuhan Qi, Zhengying Cao, Jun Rao, Lei Wang, Jing Xiao, Xuan Wang · 2023 · Information Processing & Management
  82. Prompt Tuning in Code Intelligence: An Experimental Evaluation
    Chaozheng Wang, Yuanhang Yang, Cuiyun Gao, Yun Peng, Hongyu Zhang, Michael Rung-Tsong Lyu · 2023 · IEEE Transactions on Software Engineering
  83. All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining
    Haihong Zhao, Aochuan Chen, Xiangguo Sun, Hong Cheng, Jia Li · 2024 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
  84. AI-empowered scale development: Testing the potential of ChatGPT
    Stefan Hoffmann, Wassili Lasarov, Yogesh Kumar Dwivedi · 2024 · Technological Forecasting and Social Change
  85. Large Language Model Instruction Following: A Survey of Progresses and Challenges
    Renze Lou, Kai Zhang, Wenpeng Yin · 2024 · Computational Linguistics
  86. CORE: Resolving Code Quality Issues using LLMs
    Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade, Suresh Parthasarathy, Sriram K. Rajamani · 2024 · Proceedings of the ACM on software engineering.
  87. Towards Open-Vocabulary Scene Graph Generation with Prompt-Based Finetuning
    Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li · 2022 · Lecture notes in computer science
  88. Respectful or Toxic? Using Zero-Shot Learning with Language Models to Detect Hate Speech
    Flor Miriam Plaza-del-Arco, Debora Nozza, Dirk Hovy · 2023
  89. Legal Syllogism Prompting
    Cherry Jiang, Xiaolei Yang · 2023 · International Conference on Artificial Intelligence and Law
  90. Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels
    Wei-Bang Jiang, Xuan-Hao Liu, Wei‐Long Zheng, Bao‐Liang Lu · 2023 · ACM International Conference on Multimedia (ACM MM)
  91. Exploring Chain of Thought Style Prompting for Text-to-SQL
    Chang-Yu Tai, Ziru Chen, Tianshu Zhang, Xiang Bo Deng, Huan Sun · 2023 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
  92. ChatGPT-Based Scenario Engineer: A New Framework on Scenario Generation for Trajectory Prediction
    Xuan Li, Enlu Liu, Tianyu Shen, Jun Huang, Fei–Yue Wang · 2024 · IEEE Transactions on Intelligent Vehicles
  93. Parameter-efficient fine-tuning large language model approach for hospital discharge paper summarization
    Joyeeta Goswami, Kaushal Kumar Prajapati, Ashim Saha, Apu Kumar Saha · 2024 · Applied Soft Computing
  94. Integrating human expertise & automated methods for a dynamic and multi-parametric evaluation of large language models’ feasibility in clinical decision-making
    Elena Sblendorio, Vincenzo Dentamaro, Alessio Lo Cascio, Francesco Germini, Michela Piredda, Giancarlo Cicolini · 2024 · International Journal of Medical Informatics
  95. Interpretable Online Log Analysis Using Large Language Models with Prompt Strategies
    Yilun Liu, Shimin Tao, Weibin Meng, Jingyu Wang, Wenbing Ma, Yuhang Chen, Yanqing Zhao, Hao Yang, Yanfei Jiang · 2024 · IEEE International Conference on Program Comprehension (ICPC)
  96. Few-Shot Bot: Prompt-Based Learning for Dialogue Systems
    Andrea Madotto, Zhaojiang Lin, Genta Indra Winata, Pascale Fung · 2021 · arXiv (Cornell University)
  97. Understanding English as a foreign language students’ idea generation strategies for creative writing with natural language generation tools
    Woo, David James, Wang, Yanzhi, Susanto, Hengky, Guo, Kai · 2023 · Journal of Educational Computing Research
  98. Optimizing Mobile-Edge AI-Generated Everything (AIGX) Services by Prompt Engineering: Fundamental, Framework, and Case Study
    Yinqiu Liu, Hongyang Du, Dusit Tao Niyato, Jiawen Kang, Shuguang Robert Cui, Xuemin Shen, Ping Zhang · 2023 · IEEE Network
  99. Machine Translation with Large Language Models: Prompting, Few-shot Learning, and Fine-tuning with QLoRA
    Xuan Zhang, Navid Rajabi, Kevin Duh, Philipp Koehn · 2023 · Conference on Machine Translation (WMT)
  100. GAP: A novel Generative context-Aware Prompt-tuning method for relation extraction
    Zhenbin Chen, Zhixin Li, Yufei Zeng, Canlong Zhang, Huifang Ma · 2024 · Expert Systems with Applications