
Your Model Was Accurate Last Year. Is It Still?
Here’s a problem that doesn’t always make it into model deployment conversations: AI models degrade over time, even when you don’t touch them. Not because the model changes. Because the
Booth 21-25 | AI Data Management Zone | Tokyo Big Sight

Here’s a problem that doesn’t always make it into model deployment conversations: AI models degrade over time, even when you don’t touch them. Not because the model changes. Because the

A 34-author survey led by Yu Xia at UC San Diego — with collaborators across Adobe Research and nine other labs — was accepted to ACL 2025, and it’s worth your time if you build data pipelines. The title carries the whole argument: “From Selection to Generation.” For most of
