Abstract Large language models can perform various rea-soning tasks by using chain-of-thought prompting, which guides them to find answers through step-by-step demonstrations. However, … From arxiv.org
DIVERSE PROMPTS: ILLUMINATING THE PROMPT SPACE OF LARGE …
This adaptation of MAP-Elites emphasizes exploration over exploitation, making it a robust method for analyzing the relationship between prompt diversity and the performance of large … From arxiv.org
EFFICIENT PROMPTING METHODS FOR LARGE LANGUAGE MODELS: A SURVEY
Apr 1, 2024 Prompting is a mainstream paradigm for adapting large language models to specific natural language processing tasks without modifying internal parameters. Therefore, detailed … From arxiv.org
PROMPTING FRAMEWORKS FOR LARGE LANGUAGE MODELS: A SURVEY
Nov 21, 2023 Since the launch of ChatGPT, a powerful AI Chatbot developed by OpenAI, large language models (LLMs) have made significant advancements in both academia and industry, … From arxiv.org
A SURVEY OF PROMPT ENGINEERING METHODS IN LARGE LANGUAGE MODELS …
Jul 17, 2024 Large language models (LLMs) have shown remarkable performance on many different Natural Language Processing (NLP) tasks. Prompt engineering plays a key role in … From arxiv.org
BEYOND PROMPT CONTENT: ENHANCING LLM PERFORMANCE VIA CONTENT …
Feb 6, 2025 Large Language Models (LLMs) have shown significant capability across various tasks, with their real-world effectiveness often driven by prompt design. While recent research … From arxiv.org
THE PROMPT CANVAS: A LITERATURE-BASED PRACTITIONER GUIDE FOR …
Dec 6, 2024 The rise of large language models (LLMs) has highlighted the importance of prompt engineering as a crucial technique for optimizing model outputs. While experimentation with … From arxiv.org
IPROP: INTERACTIVE PROMPT OPTIMIZATION FOR LARGE LANGUAGE MODELS …
Dec 17, 2024 Prompt engineering has made significant contributions to the era of large language models, yet its effectiveness depends on the skills of a prompt author. This paper introduces … From arxiv.org
Abstract Large language models (LLMs) have demon-strated remarkable capabilities in solving complex open-domain tasks, guided by com-prehensive instructions and demonstrations … From arxiv.org
AUTOMATIC CHAIN OF THOUGHT PROMPTING IN LARGE LANGUAGE MODELS
Oct 7, 2022 Large language models (LLMs) can perform complex reasoning by generating intermediate reasoning steps. Providing these steps for prompting demonstrations is called … From arxiv.org
EFFICIENT PROMPTING METHODS FOR LARGE LANGUAGE MODELS: A …
Prompting is a mainstream paradigm for adapting large language models to specific natural language processing tasks without modifying internal parameters. Therefore, detailed … From arxiv.org
[2102.07350] PROMPT PROGRAMMING FOR LARGE LANGUAGE MODELS: …
Feb 15, 2021 Prevailing methods for mapping large generative language models to supervised tasks may fail to sufficiently probe models' novel capabilities. Using GPT-3 as a case study, … From arxiv.org
A SYSTEMATIC SURVEY OF PROMPT ENGINEERING IN LARGE LANGUAGE MODELS ...
Feb 5, 2024 Prompt engineering has emerged as an indispensable technique for extending the capabilities of large language models (LLMs) and vision-language models (VLMs). This … From arxiv.org
Our work aims to simplify the underlying concepts of formulating questions for different scales of large language models. By examining their abilities and enhancing user comprehension, we … From github.com
THE LANGUAGE OF PROMPTING: WHAT LINGUISTIC PROPERTIES MAKE A PROMPT ...
Nov 3, 2023 In this work, we investigate how LLMs of different sizes, pre-trained and instruction-tuned, perform on prompts that are semantically equivalent, but vary in linguistic structure. We … From arxiv.org
THE PROMPT CANVAS: A LITERATURE-BASED PRACTITIONER GUIDE FOR …
Dec 6, 2024 By combining the conceptual foundations and practical strategies identified in prompt engineering, the Prompt Canvas provides a practical approach for leveraging the … From arxiv.org
UNVEILING AND MANIPULATING PROMPT INFLUENCE IN LARGE LANGUAGE MODELS
May 20, 2024 Prompts play a crucial role in guiding the responses of Large Language Models (LLMs). However, the intricate role of individual tokens in prompts, known as input saliency, in … From arxiv.org
A SYSTEMATIC SURVEY OF PROMPT ENGINEERING IN LARGE LANGUAGE MODELS ...
Feb 5, 2024 This survey paper addresses the gap by providing a structured overview of recent advancements in prompt engineering, categorized by application area. For each prompting … From arxiv.org
EFFECTS OF PROMPT LENGTH ON DOMAIN-SPECIFIC TASKS FOR LARGE LANGUAGE MODELS
Feb 20, 2025 Consequently, prompt engineering has become a key focus of study. Despite the advancements in both models and prompt engineering, the relationship between the … From arxiv.org
EFFICIENT PROMPTING METHODS FOR LARGE LANGUAGE MODELS:
Apr 1, 2024 The content of a prompt can vary across different contexts, specifically containing instructions, questions, multiple demonstrations with specific output formats, and additional … From arxiv.org
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