Towards Safer Generative Language Models: A Survey on Safety Risks, Evaluations, and Improvements

Understand

As generative large model capabilities advance, safety concerns become more pronounced in their outputs.

• To ensure the sustainable growth of the AI ecosystem, it's imperative to undertake a holistic evaluation and refinement of associated safety risks.
• This survey presents a framework for safety research pertaining to large models, delineating the landscape of safety risks as well as safety evaluation and improvement methods.
• We begin by introducing safety issues of wide concern, then delve into safety evaluation methods for large models, encompassing preference-based testing, adversarial attack approaches, issues detection, and other advanced evaluation methods.