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CoTIR achieves superior image restoration by internalizing reasoning processes, outperforming traditional methods even in complex degradation settings.
UCE enables LLM agents to evolve their knowledge dynamically, achieving a staggering 96.3% success rate in complex tasks by leveraging a structured experience library.
LLMs can learn to reason better by validating "skill-based teachers" derived from past experiences, even when those teachers are sometimes wrong.
Finally, a way to train LLM agents to reason step-by-step without needing humans to check every intermediate thought.