Alignment Task

Alignment tasks in artificial intelligence focus on ensuring that large language models (LLMs) and other AI systems behave in ways consistent with human intentions and values. Current research emphasizes improving training data quality to reduce distributional discrepancies, developing control mechanisms like control barrier functions to ensure safe and desirable outputs, and exploring in-context learning methods to align models without extensive parameter adjustments. These advancements are crucial for mitigating risks associated with AI systems and enabling more reliable and beneficial human-AI collaboration across diverse applications, including robotics and cross-lingual information processing.