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Self-improving agents can evolve autonomously with minimal human input, reshaping our approach to AI adaptability and deployment.
DALorRA achieves remarkable uncertainty calibration in LLMs without sacrificing reasoning performance, tackling the critical issue of overconfidence in AI systems.
Hidden harmful supervision can infiltrate training data without detection, undermining the effectiveness of current safety measures.
