However, in certain specialized domains, such as healthcare or harmless content generation, it is nearly impossible to obtain a large volume of high-quality data that matches the downstream distribution.

To speed up ACL, this paper proposes a robustness-aware coreset selection (RCS) method.

We present an alternative approach to decompose non-negative tensors, called many-body approximation .