Aegis automates creation of a 9,533-trajectory error dataset for multi-agent LLM systems via adaptive fault injection, supporting SFT, RL, and contrastive training that yields models competitive with much larger proprietary ones.
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Aegis: Automated Error Generation and Attribution for Multi-Agent Systems
Aegis automates creation of a 9,533-trajectory error dataset for multi-agent LLM systems via adaptive fault injection, supporting SFT, RL, and contrastive training that yields models competitive with much larger proprietary ones.