Summary of Harnessing the Power Of Large Language Model For Uncertainty Aware Graph Processing, by Zhenyu Qian et al.
Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processingby Zhenyu Qian, Yiming…
Summary of A Multi-branched Radial Basis Network Approach to Predicting Complex Chaotic Behaviours, by Aarush Sinha
A Multi-Branched Radial Basis Network Approach to Predicting Complex Chaotic Behavioursby Aarush SinhaFirst submitted to…
Summary of Extensive Self-contrast Enables Feedback-free Language Model Alignment, by Xiao Liu et al.
Extensive Self-Contrast Enables Feedback-Free Language Model Alignmentby Xiao Liu, Xixuan Song, Yuxiao Dong, Jie TangFirst…
Summary of Hypeboy: Generative Self-supervised Representation Learning on Hypergraphs, by Sunwoo Kim et al.
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphsby Sunwoo Kim, Shinhwan Kang, Fanchen Bu, Soo Yong…
Summary of Variational Autoencoders For Exteroceptive Perception in Reinforcement Learning-based Collision Avoidance, by Thomas Nakken Larsen et al.
Variational Autoencoders for exteroceptive perception in reinforcement learning-based collision avoidanceby Thomas Nakken Larsen, Eirik Runde…
Summary of Learning Off-policy with Model-based Intrinsic Motivation For Active Online Exploration, by Yibo Wang et al.
Learning Off-policy with Model-based Intrinsic Motivation For Active Online Explorationby Yibo Wang, Jiang ZhaoFirst submitted…
Summary of Accelerated Parameter-free Stochastic Optimization, by Itai Kreisler and Maor Ivgi and Oliver Hinder and Yair Carmon
Accelerated Parameter-Free Stochastic Optimizationby Itai Kreisler, Maor Ivgi, Oliver Hinder, Yair CarmonFirst submitted to arxiv…
Summary of Observations on Building Rag Systems For Technical Documents, by Sumit Soman et al.
Observations on Building RAG Systems for Technical Documentsby Sumit Soman, Sujoy RoychowdhuryFirst submitted to arxiv…
Summary of A General and Efficient Training For Transformer Via Token Expansion, by Wenxuan Huang et al.
A General and Efficient Training for Transformer via Token Expansionby Wenxuan Huang, Yunhang Shen, Jiao…
Summary of Utilizing Maximum Mean Discrepancy Barycenter For Propagating the Uncertainty Of Value Functions in Reinforcement Learning, by Srinjoy Roy et al.
Utilizing Maximum Mean Discrepancy Barycenter for Propagating the Uncertainty of Value Functions in Reinforcement Learningby…