Thank you for your interest in contributing to FADE! This is a conceptual research proposal currently seeking implementation, validation, and refinement.
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
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
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
Improvements:
- Clarity enhancements
- Additional examples
- Diagrams and visualizations
- FAQ entries
Extensions:
- Use case descriptions
- Implementation guides
- Tutorial materials
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.
- Fork the repository
- Create a feature branch (
git checkout -b feature/your-feature-name) - Make your changes with clear, descriptive commits
- Add documentation for new features
- Test your changes (if applicable)
- Submit a pull request with:
- Clear description of changes
- Motivation and context
- Any relevant issue numbers
- Test results (if applicable)
- 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
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 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.
Contributors will be acknowledged in:
- CONTRIBUTORS.md (for significant contributions)
- Individual paper/implementation credits
- Citation metadata
- Technical questions: Open an issue with the
questionlabel - Implementation help: Use GitHub Discussions
- Collaboration proposals: Open an issue with the
collaborationlabel
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.