Llm Alignment And Safety Analysis

via “llm alignment and rlhf technique research documentation”

总结Prompt&LLM论文，开源数据&模型，AIGC应用

Unique: Connects alignment research across the full training pipeline (SFT → reward modeling → RL → constitutional AI) showing how techniques like RLHF, preference optimization, and principle-driven alignment work together to improve model behavior, with papers on self-critique and critic models for post-hoc improvement.

vs others: More comprehensive than single-technique documentation by covering the full alignment pipeline; more research-grounded than practitioner guides by organizing papers by alignment methodology rather than vendor-specific implementations.