AI研究论文每日精选

每日精选AI研究论文及翻译

Transformer是SSM：广义模型和高效算法的代表，通过结构化状态空间对偶实现。
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Tri Dao, Albert Gu•May 31, 2024•683

视频-MME：视频分析中多模态LLM的首个全面评估基准。
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

Chaoyou Fu, Yuhan Dai, Yondong Luo, Lei Li, Shuhuai Ren, Renrui Zhang, Zihan Wang, Chenyu Zhou, Yunhang Shen, Mengdan Zhang, Peixian Chen, Yanwei Li, Shaohui Lin, Sirui Zhao, Ke Li, Tong Xu, Xiawu Zheng, Enhong Chen, Rongrong Ji, Xing Sun•May 31, 2024•252

困惑于困惑：基于困惑度的数据修剪与小型参考模型
Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models

Zachary Ankner, Cody Blakeney, Kartik Sreenivasan, Max Marion, Matthew L. Leavitt, Mansheej Paul•May 30, 2024•241

Kaleido扩散：通过自回归潜在建模改进条件扩散模型
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling

Jiatao Gu, Ying Shen, Shuangfei Zhai, Yizhe Zhang, Navdeep Jaitly, Joshua M. Susskind•May 31, 2024•160

4D扩散：多视角视频扩散模型用于4D生成
4Diffusion: Multi-view Video Diffusion Model for 4D Generation

Haiyu Zhang, Xinyuan Chen, Yaohui Wang, Xihui Liu, Yunhong Wang, Yu Qiao•May 31, 2024•151

用于内存高效网络训练的4位洗发水
4-bit Shampoo for Memory-Efficient Network Training

Sike Wang, Jia Li, Pan Zhou, Hua Huang•May 28, 2024•112