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: Incremental learning aims to learn new tasks sequentially without forgetting the previously learned ones. Most of the existing incremental learning methods for audio focus on training the ...

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 ...