A Survey on Prompting Techniques in LLMs
Fuente:
arXiv
Saved in:
| Main Author: | Bhandari, Prabin |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Prompt Report: A Systematic Survey of Prompt Engineering Techniques
by: Schulhoff, Sander, et al.
Published: (2024)
by: Schulhoff, Sander, et al.
Published: (2024)
A Systematic Survey of Automatic Prompt Optimization Techniques
by: Ramnath, Kiran, et al.
Published: (2025)
by: Ramnath, Kiran, et al.
Published: (2025)
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications
by: Sahoo, Pranab, et al.
Published: (2024)
by: Sahoo, Pranab, et al.
Published: (2024)
Suvach -- Generated Hindi QA benchmark
by: Narayanan, Vaishak, et al.
Published: (2024)
by: Narayanan, Vaishak, et al.
Published: (2024)
Automatic Prompt Generation via Adaptive Selection of Prompting Techniques
by: Ikenoue, Yohei, et al.
Published: (2025)
by: Ikenoue, Yohei, et al.
Published: (2025)
Urban Mobility Assessment Using LLMs
by: Bhandari, Prabin, et al.
Published: (2024)
by: Bhandari, Prabin, et al.
Published: (2024)
Optimizing LLMs for Resource-Constrained Environments: A Survey of Model Compression Techniques
by: Girija, Sanjay Surendranath, et al.
Published: (2025)
by: Girija, Sanjay Surendranath, et al.
Published: (2025)
Evaluating Prompt Engineering Techniques for Accuracy and Confidence Elicitation in Medical LLMs
by: Naderi, Nariman, et al.
Published: (2025)
by: Naderi, Nariman, et al.
Published: (2025)
A Survey on Human-Centric LLMs
by: Wang, Jing Yi, et al.
Published: (2024)
by: Wang, Jing Yi, et al.
Published: (2024)
Implicit Bias in LLMs: A Survey
by: Lin, Xinru, et al.
Published: (2025)
by: Lin, Xinru, et al.
Published: (2025)
Meaning Typed Prompting: A Technique for Efficient, Reliable Structured Output Generation
by: Irugalbandara, Chandra
Published: (2024)
by: Irugalbandara, Chandra
Published: (2024)
EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers
by: Guo, Qingyan, et al.
Published: (2023)
by: Guo, Qingyan, et al.
Published: (2023)
PromptTailor: Multi-turn Intent-Aligned Prompt Synthesis for Lightweight LLMs
by: Xu, Yizhou, et al.
Published: (2025)
by: Xu, Yizhou, et al.
Published: (2025)
LLMs for Explainable AI: A Comprehensive Survey
by: Bilal, Ahsan, et al.
Published: (2025)
by: Bilal, Ahsan, et al.
Published: (2025)
LLMs as Method Actors: A Model for Prompt Engineering and Architecture
by: Doyle, Colin
Published: (2024)
by: Doyle, Colin
Published: (2024)
Using Contextual Information for Sentence-level Morpheme Segmentation
by: Bhandari, Prabin, et al.
Published: (2024)
by: Bhandari, Prabin, et al.
Published: (2024)
A Comprehensive Survey of Accelerated Generation Techniques in Large Language Models
by: Khoshnoodi, Mahsa, et al.
Published: (2024)
by: Khoshnoodi, Mahsa, et al.
Published: (2024)
A Comprehensive Survey of Machine Unlearning Techniques for Large Language Models
by: Geng, Jiahui, et al.
Published: (2025)
by: Geng, Jiahui, et al.
Published: (2025)
SouLLMate: An Application Enhancing Diverse Mental Health Support with Adaptive LLMs, Prompt Engineering, and RAG Techniques
by: Guo, Qiming, et al.
Published: (2024)
by: Guo, Qiming, et al.
Published: (2024)
Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation
by: Ning, Xuefei, et al.
Published: (2023)
by: Ning, Xuefei, et al.
Published: (2023)
Empowering LLMs with Logical Reasoning: A Comprehensive Survey
by: Cheng, Fengxiang, et al.
Published: (2025)
by: Cheng, Fengxiang, et al.
Published: (2025)
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
by: Zhang, Guibin, et al.
Published: (2025)
by: Zhang, Guibin, et al.
Published: (2025)
Discrete Tokenization for Multimodal LLMs: A Comprehensive Survey
by: Li, Jindong, et al.
Published: (2025)
by: Li, Jindong, et al.
Published: (2025)
A Survey of Calibration Process for Black-Box LLMs
by: Xie, Liangru, et al.
Published: (2024)
by: Xie, Liangru, et al.
Published: (2024)
Unraveling SITT: Social Influence Technique Taxonomy and Detection with LLMs
by: Mieleszczenko-Kowszewicz, Wiktoria, et al.
Published: (2025)
by: Mieleszczenko-Kowszewicz, Wiktoria, et al.
Published: (2025)
Towards Goal-oriented Prompt Engineering for Large Language Models: A Survey
by: Li, Haochen, et al.
Published: (2024)
by: Li, Haochen, et al.
Published: (2024)
Unveiling the Lexical Sensitivity of LLMs: Combinatorial Optimization for Prompt Enhancement
by: Zhan, Pengwei, et al.
Published: (2024)
by: Zhan, Pengwei, et al.
Published: (2024)
A Survey of Generative Categories and Techniques in Multimodal Generative Models
by: Han, Longzhen, et al.
Published: (2025)
by: Han, Longzhen, et al.
Published: (2025)
An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques
by: Aly, Walid Mohamed, et al.
Published: (2025)
by: Aly, Walid Mohamed, et al.
Published: (2025)
A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks
by: Vatsal, Shubham, et al.
Published: (2024)
by: Vatsal, Shubham, et al.
Published: (2024)
When Punctuation Matters: A Large-Scale Comparison of Prompt Robustness Methods for LLMs
by: Seleznyov, Mikhail, et al.
Published: (2025)
by: Seleznyov, Mikhail, et al.
Published: (2025)
From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents
by: Yue, Ling, et al.
Published: (2026)
by: Yue, Ling, et al.
Published: (2026)
Does Safety Training of LLMs Generalize to Semantically Related Natural Prompts?
by: Addepalli, Sravanti, et al.
Published: (2024)
by: Addepalli, Sravanti, et al.
Published: (2024)
LLMs and Cultural Values: the Impact of Prompt Language and Explicit Cultural Framing
by: Bulté, Bram, et al.
Published: (2025)
by: Bulté, Bram, et al.
Published: (2025)
Prompt-Based One-Shot Exact Length-Controlled Generation with LLMs
by: Xie, Juncheng, et al.
Published: (2025)
by: Xie, Juncheng, et al.
Published: (2025)
Compact Prompting in Instruction-tuned LLMs for Joint Argumentative Component Detection
by: Elguendouze, Sofiane, et al.
Published: (2026)
by: Elguendouze, Sofiane, et al.
Published: (2026)
Harmful Prompt Laundering: Jailbreaking LLMs with Abductive Styles and Symbolic Encoding
by: Joo, Seongho, et al.
Published: (2025)
by: Joo, Seongho, et al.
Published: (2025)
Empathetic Cascading Networks: A Multi-Stage Prompting Technique for Reducing Social Biases in Large Language Models
by: Xin, Wangjiaxuan
Published: (2025)
by: Xin, Wangjiaxuan
Published: (2025)
PlanGenLLMs: A Modern Survey of LLM Planning Capabilities
by: Wei, Hui, et al.
Published: (2025)
by: Wei, Hui, et al.
Published: (2025)
From Transformers to LLMs: A Systematic Survey of Efficiency Considerations in NLP
by: Ansar, Wazib, et al.
Published: (2024)
by: Ansar, Wazib, et al.
Published: (2024)
Similar Items
-
The Prompt Report: A Systematic Survey of Prompt Engineering Techniques
by: Schulhoff, Sander, et al.
Published: (2024) -
A Systematic Survey of Automatic Prompt Optimization Techniques
by: Ramnath, Kiran, et al.
Published: (2025) -
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications
by: Sahoo, Pranab, et al.
Published: (2024) -
Suvach -- Generated Hindi QA benchmark
by: Narayanan, Vaishak, et al.
Published: (2024) -
Automatic Prompt Generation via Adaptive Selection of Prompting Techniques
by: Ikenoue, Yohei, et al.
Published: (2025)