2 papers
cs.CV2025
VISTAR:A User-Centric and Role-Driven Benchmark for Text-to-Image Evaluation
Kaiyuan Jiang, Ruoxi Sun, Ying Cao +4
We present VISTAR, a user-centric, multi-dimensional benchmark for text-to-image (T2I) evaluation that addresses the limitations of existing metrics. VISTAR introduces a two-tier h…
cs.CL2025
AceParse: A Comprehensive Dataset with Diverse Structured Texts for Academic Literature Parsing
Huawei Ji, Cheng Deng, Bo Xue +6
With the development of data-centric AI, the focus has shifted from model-driven approaches to improving data quality. Academic literature, as one of the crucial types, is predomin…