Summary of From Self-attention to Markov Models: Unveiling the Dynamics Of Generative Transformers, by M. Emrullah Ildiz et al.
From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformersby M. Emrullah Ildiz, Yixiao…
Summary of Heterogeneous Graph Neural Network on Semantic Tree, by Mingyu Guan et al.
Heterogeneous Graph Neural Network on Semantic Treeby Mingyu Guan, Jack W. Stokes, Qinlong Luo, Fuchen…
Summary of Prosparse: Introducing and Enhancing Intrinsic Activation Sparsity Within Large Language Models, by Chenyang Song et al.
ProSparse: Introducing and Enhancing Intrinsic Activation Sparsity within Large Language Modelsby Chenyang Song, Xu Han,…
Summary of Matchnas: Optimizing Edge Ai in Sparse-label Data Contexts Via Automating Deep Neural Network Porting For Mobile Deployment, by Hongtao Huang et al.
MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for…
Summary of Private Gradient Descent For Linear Regression: Tighter Error Bounds and Instance-specific Uncertainty Estimation, by Gavin Brown et al.
Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimationby Gavin Brown,…
Summary of Fingpt-hpc: Efficient Pretraining and Finetuning Large Language Models For Financial Applications with High-performance Computing, by Xiao-yang Liu et al.
FinGPT-HPC: Efficient Pretraining and Finetuning Large Language Models for Financial Applications with High-Performance Computingby Xiao-Yang…
Summary of Arl2: Aligning Retrievers For Black-box Large Language Models Via Self-guided Adaptive Relevance Labeling, by Lingxi Zhang et al.
ARL2: Aligning Retrievers for Black-box Large Language Models via Self-guided Adaptive Relevance Labelingby Lingxi Zhang,…
Summary of Fine-grained Modeling Of Narrative Context: a Coherence Perspective Via Retrospective Questions, by Liyan Xu et al.
Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questionsby Liyan Xu, Jiangnan Li,…
Summary of Diffplf: a Conditional Diffusion Model For Probabilistic Forecasting Of Ev Charging Load, by Siyang Li et al.
DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging Loadby Siyang Li, Hui…
Summary of Inductive Graph Alignment Prompt: Bridging the Gap Between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective, by Yuchen Yan et al.
Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral…