theoretical-backing
CommunityGround NLP methods with solid theory.
Authort2ance
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Provide rigorous theoretical justification for NLP/LLM research methods by identifying relevant theoretical frameworks, outlining how method components map to those frameworks, and describing how experimental results map to formal predictions.
Core Features & Use Cases
- Framework mapping: identify the most appropriate theoretical lens (e.g., Information Bottleneck, Scaling Laws, RLHF theory) for a given method.
- Literature strategy: plan targeted literature searches (papers, theorems, and debates) to support the justification.
- Argument construction: build setup, core argument, and implications that connect method design to theory.
- Interactive refinement: iteratively adjust frameworks and mappings with expert feedback.
Quick Start
Provide a complete theoretical justification for the given NLP/LLM method, including setup, core argument, and testable predictions.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: theoretical-backing Download link: https://github.com/t2ance/dr-claw-plugin/archive/main.zip#theoretical-backing Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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