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Image captioning is a fundamental task that bridges the visual and linguistic domains, playing a critical role in pre-training Large Vision-Language Models (LVLMs).
BLEU: a method for automatic evaluation of machine translation
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Yfcc100m: The new data in multimedia research
Bart Thomee, David A Shamma, Gerald Friedland, Benjamin Elizalde, Karl Ni, Douglas Poland, Damian Borth, and Li-Jia Li · 2016
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Image difference captioning with pre-training and contrastive learning
Linli Yao, Weiying Wang, and Qin Jin · 2022
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Amro Abbas, Kushal Tirumala, Dániel Simig, Surya Ganguli, and Ari S Morcos · 2023
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Junnan Li, Dongxu Li, Silvio Savarese, and Steven Hoi · 2023
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Evaluating and improving tool-augmented computation-intensive math reasoning
Beichen Zhang, Kun Zhou, Xilin Wei, Xin Zhao, Jing Sha, Shijin Wang, and Ji-Rong Wen · 2023
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Open-llava-next: An open-source implementation of llava-next series for facilitating the large multi-modal model community
Lin Chen and Long Xing · 2024
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Tulu 3: Pushing frontiers in open language model post-training
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Zhangyang Qi, Yunhan Yang, Mengchen Zhang, Long Xing, Xiaoyang Wu, Tong Wu, Dahua Lin, Xihui Liu, Jiaqi Wang, and Hengshuang Zhao · 2024
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Prism: A framework for decoupling and assessing the capabilities of vlms
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DeepseekMath: Pushing the limits of mathematical reasoning in open language models
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Data augmentation for seizure prediction with generative diffusion model
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Descriptive caption enhancement with visual specialists for multimodal perception
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Large language diffusion models
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RLPR: Extrapolating rlvr to general domains without verifiers
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Light-a-video: Training-free video relighting via progressive light fusion
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