Summary of Grokformer: Graph Fourier Kolmogorov-arnold Transformers, by Guoguo Ai et al.
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformersby Guoguo Ai, Guansong Pang, Hezhe Qiao, Yuan Gao, Hui YanFirst…
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformersby Guoguo Ai, Guansong Pang, Hezhe Qiao, Yuan Gao, Hui YanFirst…
Star Attention: Efficient LLM Inference over Long Sequencesby Shantanu Acharya, Fei Jia, Boris GinsburgFirst submitted…
LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributionsby Faridoun Mehri, Mahdieh Soleymani Baghshah,…
Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiencyby Jerry Yao-Chieh Hu, Wei-Po Wang,…
Transformers are Deep Optimizers: Provable In-Context Learning for Deep Model Trainingby Weimin Wu, Maojiang Su,…
Quark: Real-time, High-resolution, and General Neural View Synthesisby John Flynn, Michael Broxton, Lukas Murmann, Lucy…
eFedLLM: Efficient LLM Inference Based on Federated Learningby Shengwen Ding, Chenhui HuFirst submitted to arxiv…
Unveil Inversion and Invariance in Flow Transformer for Versatile Image Editingby Pengcheng Xu, Boyuan Jiang,…
Best of Both Worlds: Advantages of Hybrid Graph Sequence Modelsby Ali Behrouz, Ali Parviz, Mahdi…
Fixing the Perspective: A Critical Examination of Zero-1-to-3by Jack Yu, Xueying Jia, Charlie Sun, Prince…