2026
AlphaAlign: Incentivizing Safety Alignment with Extremely Simplified Reinforcement Learning
ICLR 2026poster
Large language models (LLMs), despite possessing latent safety understanding from their vast pretraining data, remain vulnerable to generating harmful content and exhibit issues such as over-refusal and utility degradation after safety alignment. Current safety alignment methods often result in supe…