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Despite high retrieval rates, LLMs miss over 47% of relevant studies in meta-analysis, exposing a critical gap in their systematic reasoning capabilities.
ReGrad enables scalable and reversible knowledge injection without the risk of catastrophic forgetting, outperforming traditional methods in both general and domain-specific tasks.
