Summary of Bindgpt: a Scalable Framework For 3d Molecular Design Via Language Modeling and Reinforcement Learning, by Artem Zholus et al.
BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learningby Artem…
Summary of Videophy: Evaluating Physical Commonsense For Video Generation, by Hritik Bansal et al.
VideoPhy: Evaluating Physical Commonsense for Video Generationby Hritik Bansal, Zongyu Lin, Tianyi Xie, Zeshun Zong,…
Summary of Fils: Self-supervised Video Feature Prediction in Semantic Language Space, by Mona Ahmadian et al.
FILS: Self-Supervised Video Feature Prediction In Semantic Language Spaceby Mona Ahmadian, Frank Guerin, Andrew GilbertFirst…
Summary of Graphalign: Pretraining One Graph Neural Network on Multiple Graphs Via Feature Alignment, by Zhenyu Hou et al.
GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignmentby Zhenyu Hou, Haozhan…
Summary of Block Transformer: Global-to-local Language Modeling For Fast Inference, by Namgyu Ho et al.
Block Transformer: Global-to-Local Language Modeling for Fast Inferenceby Namgyu Ho, Sangmin Bae, Taehyeon Kim, Hyunjik…
Summary of Landscape-aware Growing: the Power Of a Little Lag, by Stefani Karp et al.
Landscape-Aware Growing: The Power of a Little LAGby Stefani Karp, Nikunj Saunshi, Sobhan Miryoosefi, Sashank…
Summary of Sltrain: a Sparse Plus Low-rank Approach For Parameter and Memory Efficient Pretraining, by Andi Han et al.
SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretrainingby Andi Han, Jiaxiang…
Summary of Cross-table Pretraining Towards a Universal Function Space For Heterogeneous Tabular Data, by Jintai Chen et al.
Cross-Table Pretraining towards a Universal Function Space for Heterogeneous Tabular Databy Jintai Chen, Zhen Lin,…
Summary of Dual Process Learning: Controlling Use Of In-context Vs. In-weights Strategies with Weight Forgetting, by Suraj Anand and Michael A. Lepori and Jack Merullo and Ellie Pavlick
Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgettingby Suraj Anand, Michael…
Summary of Shotluck Holmes: a Family Of Efficient Small-scale Large Language Vision Models For Video Captioning and Summarization, by Richard Luo et al.
Shotluck Holmes: A Family of Efficient Small-Scale Large Language Vision Models For Video Captioning and…