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LLM agents struggle in dynamic environments, but EvoMem boosts their performance by capturing the evolution of memory, leading to better adaptability.
OpenMobile proves that high-performing mobile agents can be trained on entirely synthetic, open-source data, closing the gap with closed-source models and enabling broader research.
Uncertainty estimates from LLMs often fail when they're needed most – in low-information scenarios – but a simple post-hoc calibration can fix them.
