ModelEditingPapers

Overview

A curated, community-maintained list of must-read papers on knowledge editing for large language models. It organizes research by topic and recency to help developers and researchers quickly survey the field.

Best for

Best for
Researchers and engineers exploring the landscape of LLM knowledge editing.

Use cases

• Surveying foundational and recent papers on editing LLM knowledge
• Identifying key methods for model editing (e.g., ROME, MEMIT)
• Staying current with new techniques and benchmark datasets

Notes

A curated, community-maintained list of must-read papers on knowledge editing for large language models. It organizes research by topic and recency to help developers and researchers quickly survey the field.

1,230 stars on GitHub. Last updated 2025-07-12. Licensed MIT.

Use cases

• Surveying foundational and recent papers on editing LLM knowledge
• Identifying key methods for model editing (e.g., ROME, MEMIT)
• Staying current with new techniques and benchmark datasets

Pros

• Comprehensive, well-structured collection of influential papers
• Actively maintained with contributions from the research community
• Includes links and summaries for quick navigation

Cons

• Not an executable tool or library for editing models
• Limited to paper references no interactive code or tutorials
• Requires separate access to full papers and implementations

Indexed from awesome-llm and enriched against its public facts.