Retrieval-augmented generation breaks at scale because organizations treat it like an LLM feature rather than a platform ...

But once live, the system generates too many false positives. Investigators spend more time validating alerts than they did ...

Abstract: Class incremental learning (CIL) aims to tackle the challenge of catastrophic forgetting when processing continuous data streams. Current state-of-the-art methods based on experience replay ...

Abstract: Pre-trained models (PTMs) with parameter-efficient fine-tuning (PEFT) techniques have been extensively utilized in class-incremental learning (CIL) scenarios. However, they still remain ...