Awesome-Align-LLM-Human

Overview

A curated survey of methods for aligning large language models with human values, preferences, and intentions. It organizes key techniques, benchmarks, and open problems into a structured reference for researchers and practitioners.

Best for

Best for
Researchers and developers new to LLM alignment who need a structured literature overview

Use cases

• Getting a comprehensive overview of alignment approaches like RLHF, constitutional AI, and debate
• Identifying key papers and benchmarks for starting alignment research
• Understanding the landscape of open problems and future directions in LLM alignment

Notes

A curated survey of methods for aligning large language models with human values, preferences, and intentions. It organizes key techniques, benchmarks, and open problems into a structured reference for researchers and practitioners.

742 stars on GitHub. Last updated 2023-09-11.

Use cases

• Getting a comprehensive overview of alignment approaches like RLHF, constitutional AI, and debate
• Identifying key papers and benchmarks for starting alignment research
• Understanding the landscape of open problems and future directions in LLM alignment

Pros

• Well-organized taxonomy of alignment methods with clear categories
• Covers both foundational and recent work, useful as a starting point
• Community-maintained with active updates and contributions

Cons

• Not a tool or library, only a survey of existing work
• May become outdated as the field evolves rapidly
• Lacks hands-on code examples or implementation guidance

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