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
DOI 10.1145/3560815

Cited by (3,928)

Items 3,901–3,928 of 3,928

  1. Re-evaluating Detection of Equivalent Mutants using LLMs: We Should Properly Measure How Far We Are
    Arjun Tandon, Mehmet Fırat Dündar, Milkiyas Gebremichael Gebru, Darko Marinov, Yiling Lou, Wenxi Wang · 2026 · Proceedings of the ACM on software engineering.
  2. Representation Engineering for Fine-Grained Output Degradation Control in Large Language Models
    Songbo Su · 2026 · International Conference on Advanced Algorithms and Neural Networks (AANN)
  3. RICE: Harnessing LLMs and Historical Issues to Discover Internal Rust Compiler Errors
    Langyi Lu, Wei You, Bin Liang, Jianjun Huang · 2026 · Proceedings of the ACM on software engineering.
  4. Personalized Marketing Content Generation Using GPT Models and Sentiment Feedback: A Systematic Literature Review
    Mhd. Dicky Syahputra Lubis, Nik Adilah Hanin Zahri, Nur Hafizah Ghazali · 2026 · 2026 IEEE International Conference on Electrical, Electronic and Computer Engineering (ICEECE)
  5. An Empirical Study for Effective LLM-Based Human-State Prediction from Physiological Data
    Lifei Wang, Ao Guo, Jianhua Ma · 2026 · International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)
  6. From Context to Prompt: CSPM-Based Structured Prompting in AI-Assisted Spatial Design
    Adriana Anarita, Sri Rachmayanti · 2026 · International Conference on ICT for Smart Society (ICISS)
  7. Training an LLM for Grammaticality Judgements in Romanian
    Universitatea din București, Șerban Hartular · 2026 · Studii și cercetări lingvistice
  8. The influence of prompt structure on translation decisions in generative English-Russian translation
    Maria Pavlovna Kolesnikova · 2026 · Litera
  9. Few-shot defect detection in industrial scenarios: a comprehensive review of challenges, advances, and frontier trends
    RuiBo WANG, Tao Hong · 2026 · International Journal of Metrology and Quality Engineering
  10. Error-Driven Prompt Optimization for Sustainable Tabular Reasoning
    Róbert Lakatos, Árpád Pándy, András Hajdú · 2026 · IEEE Conference on Information Technology and Data Science (CITDS)
  11. Reframing Museum Intelligence: A Survey of Large Language Models in Museums
    Fan Bu, Zhan Li, Yu Jiang · 2026 · Journal on Computing and Cultural Heritage
  12. A Self-Evolving Framework for Automated Constraint Programming Model Construction in Multi-Robot Task Allocation and Scheduling
    Zheng-Qi Shi, Xin-Yu Li, Qi-Hao Liu, Liang Gao, Chun-Jiang Zhang · 2026 · 2026 IEEE 22nd International Conference on Automation Science and Engineering (CASE)
  13. Interactive CLIP for Multimodal Sarcasm Detection with Weighted Latent Factors in Low-Resource Settings
    Abhay Singh Yadav, Karanbir Singh, Tanwarjot Singh, Enjula Uchoi · 2026 · IEEE World Conference on Applied Intelligence and Computing (AIC)
  14. Speaking to machines: A critical review of prompt engineering as a 21st-century competency, automatic optimization, and human–AI collaboration
    Abdellah Ben Yahia, El Fadil El Harrak, Iman Kadir, Sharon Chisembe, Abdelaziz Abdallaoui, Abdellah El Hmaidi, Ali Dehbi · 2026 · Array
  15. Teaching English language learners to prompt effectively: examining effects on prompt literacy, AI self-efficacy, and self-directed English learning readiness
    Rahavi Murugesan, P Madhumathi · 2026 · Interactive Learning Environments
  16. ExerciseGen: Schema-Guided Retrieval-Augmented Generation for Chinese Textbook Exercise Construction
    Yi Liu · 2026
  17. Personalized Music Composition with Large Language Models: A Pilot Study of Profile-Conditioned Generation and Rule-Based Quality Evaluation
    Kang Wu · 2026 · International Conference on Artificial Intelligence, Digital Media and Education
  18. Evaluation of Prompt Techniques for Natural Language Robot Control in Simulated Environments
    Lucas Müller, Ivo Nollmann, Lars Wulfert, Hendrik Wöhrle · 2026 · Intelligent Robotics FAIR
  19. Large Language Model Chatbot Responses to Cancer Survivorship Questions in Hong Kong: Bilingual Evaluation and Prompt Optimization Study
    Haoyu An, Wanshu Huang, Rachel Tsoi Man Cheung, Qijun Du, Rong Na, David Ka-Ki Wong · 2026 · Journal of Medical Internet Research
  20. Designing Prompt Literacy
    Megha Ojha · 2026 · Advances in computational intelligence and robotics book series
  21. Automated Counterfactual Scenario Generation for Fairness Assessment of Large Language Models: The ScenGen Framework
    Alessandra Parziale, Antonio D'Auria, Daniele Pio Scaparra, Valeria Pontillo · 2026
  22. From Automation to Coevolution: A Systematic Review of Human–AI Interaction Hierarchies and Professional Implications in the Construction Industry
    Maruoyan Shi, Mingxuan Liang, Bon‐Gang Hwang · 2026 · Journal of Management in Engineering
  23. From Prompts to Publications
    Vipin Tyagi · 2026 · Advances in computational intelligence and robotics book series
  24. How Users Engage With ChatGPT
    Wati Sheena M. Bulkia, Hana An L. Alvarado, Potchong M. Jackaria · 2026 · Advances in computational intelligence and robotics book series
  25. Foundations of GenIR
    Ai, Qingyao, Zhan, Jingtao, Liu, Yiqun · 2025 · arXiv
  26. Self-Harness: Harnesses That Improve Themselves
    Zhang, Hangfan, Zhang, Shao, Li, Kangcong, Zhang, Chen, Chen, Yang, Zhang, Yiqun, Bai, Lei, Hu, Shuyue · 2026 · arXiv
  27. Agentic Synthesis against Counterexample-Supplemented Sketches
    Castle, Muness, Rubeck, Eric · 2026 · arXiv
  28. "It's Weird That it Knows What I Want": Usability and Interactions with Copilot for Novice Programmers
    Prather, James, Reeves, Brent N., Denny, Paul, Becker, Brett A., Leinonen, Juho, Luxton-Reilly, Andrew, Powell, Garrett, Finnie-Ansley, James, Santos, Eddie Antonio · 2023 · arXiv