Alignment Tuning for Large Language Models: A Data-Centric Lens on Alignment Data Pipelines 事件

Alignment Tuning for Large Language Models: A Data-Centric Lens on Alignment Data Pipelines arXiv:2605.26442v1 Announce Type: new Abstract: Much of the alignment tuning literature is organized around optimization objectives, while the construction of alignment data is often treated implicitly. In this survey, we adopt a data centric perspective and reframe alignment tuning as a pipeline design problem. We decompose alignment data construction into three interacting stages, response synthesis, p