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
Most AI text detectors look good in testing. They’re trained and evaluated on specific models, specific prompt styles, specific domains — and they perform well within that distribution. Then they get deployed into the real world, which has different models, different prompting patterns, different domains, and the performance drops. This
