重温OPD（On-Policy Distillation） Permalink
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CapRL++: Unified Reinforcement Learning with Verifiable Rewards for Dense Image and Video Captioning
Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) · arXiv preprint, 2026
A unified RLVR framework for dense image and video captioning, where caption quality is optimized through verifiable downstream question-answering rewards.
Recommended citation: Penghui Yang*, Long Xing*, Xiaoyi Dong, Yuhang Zang, Yuhang Cao, Yibin Wang, Yujie Zhou, Jiazi Bu, Jianze Liang, Qidong Huang, Jiaqi Wang, Feng Wu, and Dahua Lin. (2026). "CapRL++: Unified Reinforcement Learning with Verifiable Rewards for Dense Image and Video Captioning." arXiv preprint arXiv:2606.09393. Submitted to TPAMI.
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