This paper discusses the importance of safety in autonomous systems, particularly in human-robot interactions. It introduces the Multimodal Safe Set Algorithm (MMSSA) which deals with multimodal uncertainty, a situation where…
Continue readingThe researchers from Peking University have proposed a novel algorithm, Safe Reinforcement Learning from Human Feedback (Safe RLHF), aimed at enhancing the safety and performance of Large Language Models (LLMs)….
Continue readingThe article discusses an emerging area called Representation Engineering (RepE). This approach aims to increase the transparency of AI systems using insights from cognitive neuroscience. RepE focuses on population-level representations…
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