
Active Learning Grew a Second Lever
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
Booth 21-25 | AI Data Management Zone | Tokyo Big Sight

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

Before you reach for RLHF, before you design a reward model, before you start thinking about reinforcement learning from verifiable rewards — there’s a more fundamental question worth asking: has this model been properly fine-tuned on examples of the behavior you want? Supervised Fine-Tuning (SFT) sits between pre-training and the
