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NeurIPS 2025 | ARGRE Framework Enables Efficient LLM Detox: Autoregressive Reward Guidance for Faster, More Accurate, and Lighter Safety Alignment

NeurIPS 2025 | ARGRE Framework Enables Efficient LLM Detox: Autoregressive Reward Guidance for Faster, More Accurate, and Lighter Safety Alignment

2025-10-25 12:24 Beijing A New Method for Safe LLM Deployment: Fast, Accurate, and Lightweight Large Language Models (LLMs) are widely used in content creation, enterprise services, and many other domains. However, content safety—including risks such as hate speech, discrimination, and threats—remains a major challenge for real-world deployment.

By Honghao Wang