Validate Information with LLMs

Professional prompt engineering toolkit for academic research using Large Language Models

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What is this?

A collection of 10 battle-tested prompt templates designed specifically for academic researchers. Each prompt covers a critical phase of the research lifecycle, from literature review to practical implementation.

Target users:

• PhD Candidates & Doctoral Researchers
• Grant Writers & Funding Applicants
• Systematic Review Authors
• Research Methodology Consultants

Each prompt includes:

• Original + Upgraded versions
• PRO/CONTRA risk analysis
• Copy-paste ready templates
• Hungarian summary (Magyar)

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Quick Start

1. Choose your research phase from the table below
2. Copy the "Upgraded Prompt" from the file
3. Replace [topic] with your research area
4. Run in Claude, GPT-4, or Perplexity Pro

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Research Phases

#	Phase	Use When	Prompt
1	Literature Review	Starting research, finding sources	View
2	Research Gap	Identifying what's missing	View
3	Hypothesis	Forming testable questions	View
4	Methodology	Choosing research methods	View
5	Data Collection	Planning data gathering	View
6	Data Analysis	Analyzing results	View
7	Interdisciplinary	Connecting fields	View
8	Research Proposal	Writing proposals/grants	View
9	Critical Evaluation	Critiquing literature	View
10	Implementation	Practical application	View

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Learning Path

The prompts follow a natural research workflow. We recommend this progression:

┌─────────────────────────────────────────────────────────────────┐
│                        RESEARCH WORKFLOW                         │
├─────────────────────────────────────────────────────────────────┤
│                                                                  │
│   FOUNDATION          DESIGN            SYNTHESIS    VALIDATION │
│   ───────────         ──────            ─────────    ────────── │
│                                                                  │
│   [1] Literature  →   [4] Methodology   [7] Inter-   [9] Critical│
│       Review          [5] Data Collect.     discipl.     Eval   │
│   [2] Research    →   [6] Data Analysis [8] Research [10] Imple-│
│       Gap                                   Proposal     ment   │
│   [3] Hypothesis                                                 │
│                                                                  │
└─────────────────────────────────────────────────────────────────┘

Module	Phases	Learning Outcome
Foundation	1, 2, 3	Understanding the knowledge landscape
Design	4, 5, 6	Planning rigorous research
Synthesis	7, 8	Integrating and proposing
Validation	9, 10	Quality assurance and execution

See Learning Path Guide for detailed progression.

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Citation

If you use this toolkit in your research, please cite:

@software{validate_llms_2025,
  author = {w7-mgfcode},
  title = {Validate Information with LLMs: Research Prompt Engineering Toolkit},
  year = {2025},
  url = {https://github.com/w7-mgfcode/validate-information-llms},
  version = {1.0.0}
}

See CITATION.cff for GitHub-native citation.

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Magyar / Hungarian

Ez a gyűjtemény 10 validált prompt sablont tartalmaz akadémiai kutatáshoz. Minden prompt tartalmaz magyar nyelvű összefoglalót és használati útmutatót.

Lásd: prompts/hu/ (hamarosan)

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Contributing

We welcome contributions! See CONTRIBUTING.md for guidelines.

Priority areas:

• Additional language translations
• New research phase prompts
• Real-world usage examples
• Discipline-specific variants

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License

MIT License - See LICENSE

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Acknowledgments

This toolkit was developed using insights from:

• DAIR.AI Prompt Engineering Guide
• Awesome ChatGPT Prompts
• Academic prompt engineering research

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Made with dedication for the research community