#1 · Paper · May 20, 2024
Multimodal Chain-of-Thought Reasoning in Language Models
Zhuosheng Zhang, Aston Zhang, Mu Li, Hai Zhao, George Karypis, Alex Smola · arxiv.org
Best Content for Machine Learning in May 2024
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#2 · Paper · May 9, 2024
CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts
Jiachen Li, Xinyao Wang, Sijie Zhu, Chia-Wen Kuo, Lu Xu, Fan Chen, Jitesh Jain, Humphrey Shi, Longyin Wen · arxiv.org
#3 · Paper · May 29, 2024
X-VILA: Cross-Modality Alignment for Large Language Model
Hanrong Ye, De-An Huang, Yao Lu, Zhiding Yu, Wei Ping, Andrew Tao, Jan Kautz, Song Han, Dan Xu, Pavlo Molchanov, Hongxu Yin · arxiv.org
#4 · Paper · May 8, 2024
Generative Multimodal Models are In-Context Learners
Quan Sun, Yufeng Cui, Xiaosong Zhang, Fan Zhang, Qiying Yu, Zhengxiong Luo, Yueze Wang, Yongming Rao, Jingjing Liu, Tiejun Huang, Xinlong Wang · arxiv.org
#5 · Paper · May 3, 2024
What matters when building vision-language models?
Hugo Laurençon, Léo Tronchon, Matthieu Cord, Victor Sanh · arxiv.org
#6 · Paper · May 3, 2024
Koala: Key frame-conditioned long video-LLM
Reuben Tan, Ximeng Sun, Ping Hu, Jui-hsien Wang, Hanieh Deilamsalehy, Bryan A. Plummer, Bryan Russell, Kate Saenko · arxiv.org
#7 · Paper · May 8, 2024
Emu: Generative Pretraining in Multimodality
Quan Sun, Qiying Yu, Yufeng Cui, Fan Zhang, Xiaosong Zhang, Yueze Wang, Hongcheng Gao, Jingjing Liu, Tiejun Huang, Xinlong Wang · arxiv.org
#8 · Paper · May 24, 2024
Prompt-Aware Adapter: Towards Learning Adaptive Visual Tokens for Multimodal Large Language Models
Yue Zhang, Hehe Fan, Yi Yang · arxiv.org
#9 · Paper · May 16, 2024
VILA: On Pre-training for Visual Language Models
Ji Lin, Hongxu Yin, Wei Ping, Yao Lu, Pavlo Molchanov, Andrew Tao, Huizi Mao, Jan Kautz, Mohammad Shoeybi, Song Han · arxiv.org
#10 · Paper · May 30, 2024
CoVR: Learning Composed Video Retrieval from Web Video Captions
Lucas Ventura, Antoine Yang, Cordelia Schmid, Gül Varol · arxiv.org
#11 · Paper · May 24, 2024
ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal Models
Chunjiang Ge, Sijie Cheng, Ziming Wang, Jiale Yuan, Yuan Gao, Jun Song, Shiji Song, Gao Huang, Bo Zheng · arxiv.org
#12 · Paper · May 22, 2024
Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs
Davide Caffagni, Federico Cocchi, Nicholas Moratelli, Sara Sarto, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara · arxiv.org
#13 · Paper · May 15, 2024
Improved Baselines with Visual Instruction Tuning
Haotian Liu, Chunyuan Li, Yuheng Li, Yong Jae Lee · arxiv.org
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