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SURGeLLM introduces a unified transformer framework with surgical feature gates, task-conditioned prefix tokens, and instance-weighted normalization to address mismatched inductive biases, class imbalance, and lexical knowledge injection in multi-task learning, achieving significant gains across four diverse NLP tasks.