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The Hong Kong University of Science and Technology (Guangzhou)
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Forget reward engineering: this work shows LLMs can self-evolve and outperform larger models by learning to explore and summarize new environments autonomously.
LLMs can be fine-tuned more efficiently by adapting experts in the frequency domain, leading to better performance with fewer parameters.
