
A reading list worth keeping: LLM4Annotation
A practical post. The GitHub repo LLM4Annotation (Zhen-Tan-dmml/LLM4Annotation) is a curated, updated list of papers and tools at the intersection of LLMs and data annotation. If you work in this
Booth 21-25 | AI Data Management Zone | Tokyo Big Sight

A practical post. The GitHub repo LLM4Annotation (Zhen-Tan-dmml/LLM4Annotation) is a curated, updated list of papers and tools at the intersection of LLMs and data annotation. If you work in this

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
