Large language models (LLMs) have immense potential in the field of general intelligence but come with significant risks. As a research team at Peking University, we actively focus on alignment techniques for LLMs, such as safety alignment, to enhance the model's safety and reduce toxicity.
Welcome to follow our AI Safety project:
Alignment with a millennium of moral progress. Spotlight@NeurIPS 2024 Track on Datasets and Benchmarks.
NeurIPS 2024 Oral: Achieving Efficient Alignment through Learned Correction
SafeSora is a human preference dataset designed to support safety alignment research in the text-to-video generation field, aiming to enhance the helpfulness and harmlessness of Large Vision Models (LVMs).
NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark
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