Summary of Ssm Meets Video Diffusion Models: Efficient Long-term Video Generation with Structured State Spaces, by Yuta Oshima et al.
SSM Meets Video Diffusion Models: Efficient Long-Term Video Generation with Structured State Spacesby Yuta Oshima,…
Summary of Multi-modal Auto-regressive Modeling Via Visual Words, by Tianshuo Peng et al.
Multi-modal Auto-regressive Modeling via Visual Wordsby Tianshuo Peng, Zuchao Li, Lefei Zhang, Hai Zhao, Ping…
Summary of Beyond Pixels: Enhancing Lime with Hierarchical Features and Segmentation Foundation Models, by Patrick Knab et al.
Beyond Pixels: Enhancing LIME with Hierarchical Features and Segmentation Foundation Modelsby Patrick Knab, Sascha Marton,…
Summary of Uncertainty Quantification with Deep Ensembles For 6d Object Pose Estimation, by Kira Wursthorn et al.
Uncertainty Quantification with Deep Ensembles for 6D Object Pose Estimationby Kira Wursthorn, Markus Hillemann, Markus…
Summary of Finemath: a Fine-grained Mathematical Evaluation Benchmark For Chinese Large Language Models, by Yan Liu et al.
FineMath: A Fine-Grained Mathematical Evaluation Benchmark for Chinese Large Language Modelsby Yan Liu, Renren Jin,…
Summary of Beyond Memorization: the Challenge Of Random Memory Access in Language Models, by Tongyao Zhu et al.
Beyond Memorization: The Challenge of Random Memory Access in Language Modelsby Tongyao Zhu, Qian Liu,…
Summary of Transforming Competition Into Collaboration: the Revolutionary Role Of Multi-agent Systems and Language Models in Modern Organizations, by Carlos Jose Xavier Cruz
Transforming Competition into Collaboration: The Revolutionary Role of Multi-Agent Systems and Language Models in Modern…
Summary of Branch-train-mix: Mixing Expert Llms Into a Mixture-of-experts Llm, by Sainbayar Sukhbaatar et al.
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLMby Sainbayar Sukhbaatar, Olga Golovneva, Vasu Sharma, Hu…
Summary of Mope-clip: Structured Pruning For Efficient Vision-language Models with Module-wise Pruning Error Metric, by Haokun Lin et al.
MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-wise Pruning Error Metricby Haokun Lin, Haoli…
Summary of Efficient Vision-and-language Pre-training with Text-relevant Image Patch Selection, by Wei Ye et al.
Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selectionby Wei Ye, Chaoya Jiang, Haiyang Xu, Chenhao…