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Unbounded Positive Asymmetric Optimization unleashes the full exploration potential of RL algorithms without sacrificing stability, revolutionizing how we train large language models.
BrainFIBRE reveals neurobiologically interpretable representations that outperform existing methods in predicting critical brain health markers from microstructural data.
LLMs can now scale depth more effectively: a new attention mechanism recovers diluted features in deeper layers, boosting performance with negligible overhead.
