Summary of Deliberation in Latent Space Via Differentiable Cache Augmentation, by Luyang Liu et al.
Deliberation in Latent Space via Differentiable Cache Augmentationby Luyang Liu, Jonas Pfeiffer, Jiaxing Wu, Jun…
Deliberation in Latent Space via Differentiable Cache Augmentationby Luyang Liu, Jonas Pfeiffer, Jiaxing Wu, Jun…
Towards Foundation Models on Graphs: An Analysis on Cross-Dataset Transfer of Pretrained GNNsby Fabrizio Frasca,…
Pretraining with random noise for uncertainty calibrationby Jeonghwan Cheon, Se-Bum PaikFirst submitted to arxiv on:…
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Treesby Zehong Wang, Zheyuan Zhang, Tianyi…
Maximize Your Data’s Potential: Enhancing LLM Accuracy with Two-Phase Pretrainingby Steven Feng, Shrimai Prabhumoye, Kezhi…
I0T: Embedding Standardization Method Towards Zero Modality Gapby Na Min An, Eunki Kim, James Thorne,…
DriveGPT: Scaling Autoregressive Behavior Models for Drivingby Xin Huang, Eric M. Wolff, Paul Vernaza, Tung…
No More Adam: Learning Rate Scaling at Initialization is All You Needby Minghao Xu, Lichuan…
BarcodeMamba: State Space Models for Biodiversity Analysisby Tiancheng Gao, Graham W. TaylorFirst submitted to arxiv…
Multi-Head Encoding for Extreme Label Classificationby Daojun Liang, Haixia Zhang, Dongfeng Yuan, Minggao ZhangFirst submitted…