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Low-quality modalities can quietly sabotage multi-modal networks because they receive minimal training gradients yet dominate test-time skip connections鈥攁 failure mode solved by explicitly filtering and rebalancing degraded feature streams.
Task2MCP reveals that a structured dataset can significantly enhance the efficiency of LLM-based tool recommendations, transforming how developers interact with the MCP ecosystem.
