3 papers
cs.LG2025
Critique to Verify: Accurate and Honest Test-Time Scaling with RL-Trained Verifiers
Zhicheng Yang, Zhijiang Guo, Yinya Huang +4
Test-time scaling via solution sampling and aggregation has become a key paradigm for improving the reasoning performance of Large Language Models (LLMs). While reward model select…
cs.CV2025
FingER: Content Aware Fine-grained Evaluation with Reasoning for AI-Generated Videos
Rui Chen, Lei Sun, Jing Tang +2
Recent advances in video generation have posed great challenges in the assessment of AI-generated content, particularly with the emergence of increasingly sophisticated models. The…
cs.CL2024
SkyScript-100M: 1,000,000,000 Pairs of Scripts and Shooting Scripts for Short Drama
Jing Tang, Quanlu Jia, Yuqiang Xie +6
Generating high-quality shooting scripts containing information such as scene and shot language is essential for short drama script generation. We collect 6,660 popular short drama…