#1 · Paper · Dec 13, 2023
PG-Video-LLaVA: Pixel Grounding Large Video-Language Models
Shehan Munasinghe, Rusiru Thushara, Muhammad Maaz, Hanoona Abdul Rasheed, Salman Khan, Mubarak Shah, Fahad Khan · arxiv.org
Best Content for Machine Learning in December 2023
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Query conditions: topic=machine-learning, and publish_at in 202312
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#2 · Paper · Dec 11, 2023
Visual Instruction Tuning
Haotian Liu, Chunyuan Li, Qingyang Wu, Yong Jae Lee · arxiv.org
#3 · Paper · Dec 11, 2023
Vary: Scaling up the Vision Vocabulary for Large Vision-Language Models
Haoran Wei, Lingyu Kong, Jinyue Chen, Liang Zhao, Zheng Ge, Jinrong Yang, Jianjian Sun, Chunrui Han, Xiangyu Zhang · arxiv.org
#4 · Paper · Dec 14, 2023
VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and Generation
Jinguo Zhu, Xiaohan Ding, Yixiao Ge, Yuying Ge, Sijie Zhao, Hengshuang Zhao, Xiaohua Wang, Ying Shan · arxiv.org
#5 · Paper · Dec 28, 2023
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action
Jiasen Lu, Christopher Clark, Sangho Lee, Zichen Zhang, Savya Khosla, Ryan Marten, Derek Hoiem, Aniruddha Kembhavi · arxiv.org
#6 · Paper · Dec 30, 2023
MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices
Xiangxiang Chu, Limeng Qiao, Xinyang Lin, Shuang Xu, Yang Yang, Yiming Hu, Fei Wei, Xinyu Zhang, Bo Zhang, Xiaolin Wei, Chunhua Shen · arxiv.org
#7 · Paper · Dec 28, 2023
SVIT: Scaling up Visual Instruction Tuning
Bo Zhao, Boya Wu, Muyang He, Tiejun Huang · arxiv.org
#8 · Paper · Dec 14, 2023
Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision
Collin Burns, Pavel Izmailov, Jan Hendrik Kirchner, Bowen Baker, Leo Gao, Leopold Aschenbrenner, Yining Chen, Adrien Ecoffet, Manas Joglekar, Jan Leike, Ilya Sutskever, Jeff Wu · arXiv
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