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Attention Collapse reveals a hidden vulnerability in RAG systems, enabling the detection of poisoning attacks that traditional methods fail to catch.
Surprisingly, the "think before answer" paradigm fails to enhance generative recommendation models, prompting a novel approach that redefines how reasoning is integrated into these systems.
Multi-agent systems for automated research face a fundamental trade-off: parallel exploration offers speed and stability, while expert teams unlock deeper reasoning at the cost of increased fragility.
