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Contributing to FADE

Thank you for your interest in contributing to FADE! This is a conceptual research proposal currently seeking implementation, validation, and refinement.

Ways to Contribute

1. Implementation

Proof-of-Concept:

  • Simple task implementations (QA, short-context tasks)
  • Degradation mechanism prototypes
  • Fuzziness metric implementations
  • Baseline comparisons

Code Contributions:

  • Follow standard Python conventions (PEP 8)
  • Include docstrings and type hints
  • Add tests for core functionality
  • Document experimental setup and results

2. Theoretical Refinement

Architecture Improvements:

  • Alternative degradation mechanisms
  • Better fuzziness metrics
  • Training procedure refinements
  • Addressing implementation challenges

Analysis:

  • Theoretical guarantees
  • Failure mode identification
  • Edge case analysis
  • Connection to existing work

3. Experimental Validation

Testing:

  • Implement on benchmark tasks
  • Compare against baselines
  • Measure computational costs
  • Evaluate calibration quality

Results:

  • Share experimental findings (positive or negative)
  • Document parameter choices and rationale
  • Include reproducibility information
  • Discuss unexpected behaviors

4. Documentation

Improvements:

  • Clarity enhancements
  • Additional examples
  • Diagrams and visualizations
  • FAQ entries

Extensions:

  • Use case descriptions
  • Implementation guides
  • Tutorial materials

How to Contribute

Opening Issues

Before starting work, please open an issue to discuss:

  • What you're planning to implement
  • Your approach
  • How it relates to existing work

This helps avoid duplicate effort and ensures alignment with project goals.

Pull Requests

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/your-feature-name)
  3. Make your changes with clear, descriptive commits
  4. Add documentation for new features
  5. Test your changes (if applicable)
  6. Submit a pull request with:
    • Clear description of changes
    • Motivation and context
    • Any relevant issue numbers
    • Test results (if applicable)

Code Review Process

  • Maintainers will review PRs as time permits
  • Expect discussion and iteration
  • Changes may be requested for clarity or alignment
  • All contributions are appreciated, even if not immediately merged

Research Integrity

Novel Ideas

If you develop significant extensions or variations:

  • You're encouraged to publish independently
  • Please cite the original FADE proposal
  • Consider coordinating to avoid duplication

Negative Results

Negative results are valuable! If you:

  • Try FADE and it doesn't work
  • Find fundamental flaws
  • Identify limitations

Please share these findings. Failed experiments teach us what doesn't work and help refine the approach.

Attribution

Contributors will be acknowledged in:

  • CONTRIBUTORS.md (for significant contributions)
  • Individual paper/implementation credits
  • Citation metadata

Questions?

  • Technical questions: Open an issue with the question label
  • Implementation help: Use GitHub Discussions
  • Collaboration proposals: Open an issue with the collaboration label

Code of Conduct

Be respectful, constructive, and collaborative. We're all here to advance the science.


Remember: This is exploratory research. Ambitious ideas, honest critique, and null results are all valuable contributions.