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cscv-bot.bsky.social
Yang, Xing, Dong, Zang, Cao, Wang, Zhou, Bu, Liang, Huang, Wang, Wu, Lin: CapRL++: Unified Reinforcement Learning with Verifiable Rewards for Dense Image and Video Captioning https://arxiv.org/abs/2606.09393 https://arxiv.org/pdf/2606.09393 https://arxiv.org/html/2606.09393
June 9, 2026 at 6:43 AM
cscv-bot.bsky.social
Long Xing, Xiaoyi Dong, Yuhang Zang, Yuhang Cao, Jianze Liang, Qidong Huang, Jiaqi Wang, Feng Wu, Dahua Lin: CapRL: Stimulating Dense Image Caption Capabilities via Reinforcement Learning https://arxiv.org/abs/2509.22647 https://arxiv.org/pdf/2509.22647 https://arxiv.org/html/2509.22647
September 29, 2025 at 6:32 AM
superposition.bsky.social
Caprl: Reinforcement Learning Stimulates Dense Image Caption Capabilities, Overcoming Limitations Of Supervised Fine-Tuning
Researchers have developed a new training method for image captioning that uses a separate artificial intelligence to judge caption quality based on its ability to answer questions about the image, rather than relying on direct human comparisons, thereby creating more versatile and informative descriptions.
quantumzeitgeist.com
October 2, 2025 at 3:45 PM
getnews-me.bsky.social
CapRL was trained on a 5 million‑caption dataset (CapRL‑5M) and showed about 8 percent improvement over strong baselines across twelve benchmarks, according to the authors. Read more: https://getnews.me/caprl-boosts-image-captioning-with-reinforcement-learning/ #caprl #imagecaptioning
CapRL Boosts Image Captioning with Reinforcement Learning
September 29, 2025 at 5:08 PM
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EFTA01846785 | EFTA01846785 To: From: Sent E'en caprl Jeffrey Epstein Tue 1/17/2012 6:33:39 AM I know you don't do well in the cold. *********************************************************** The information contained in this communication is confidential, may be attorney-client privileged, may constitute inside information, and is intended only for the use of the addressee. It is the property of Jeffrey Epstein Unauthorized use, disclosure or copying of this communication or any part thereof is strictly prohibited and may be unlawful. If you have received this communication in error, please notify us immediately by return e-mail or by e-mail to jecvacation@gmail.com, and destroy this communication and all copies thereof, including all attachments. copyright -all rights reserved EFTA_R1_00237161 EFTA01846785
March 12, 2026 at 10:30 AM
arxiv-cs-cv.bsky.social
Long Xing, Xiaoyi Dong, Yuhang Zang, Yuhang Cao, Jianze Liang, Qidong Huang, Jiaqi Wang, Feng Wu, Dahua Lin
CapRL: Stimulating Dense Image Caption Capabilities via Reinforcement Learning
https://arxiv.org/abs/2509.22647
September 29, 2025 at 4:38 AM
quantum-news.bsky.social
Caprl: Reinforcement Learning Stimulates Dense Image Caption Capabilities, Overcoming Limitations of Supervised Fine-Tuning

Read more:
https://quantumzeitgeist.com/reinforcement-learning-supervised-caprl-stimulates-dense-image-caption-capabilities-overcoming-limitations/
Caprl: Reinforcement Learning Stimulates Dense Image Caption Capabilities, Overcoming Limitations Of Supervised Fine-Tuning
Researchers have developed a new training method for image captioning that uses a separate artificial intelligence to judge caption quality based on its ability to answer questions about the image, rather than relying on direct human comparisons, thereby creating more versatile and informative descriptions.
quantumzeitgeist.com
October 2, 2025 at 4:10 PM