Summary of Learning to Compress Prompt in Natural Language Formats, by Yu-neng Chuang et al.
Learning to Compress Prompt in Natural Language Formatsby Yu-Neng Chuang, Tianwei Xing, Chia-Yuan Chang, Zirui…
Summary of Keeping Llms Aligned After Fine-tuning: the Crucial Role Of Prompt Templates, by Kaifeng Lyu et al.
Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templatesby Kaifeng Lyu, Haoyu Zhao,…
Summary of Why Attention Graphs Are All We Need: Pioneering Hierarchical Classification Of Hematologic Cell Populations with Leukograph, by Fatemeh Nassajian Mojarrad et al.
Why Attention Graphs Are All We Need: Pioneering Hierarchical Classification of Hematologic Cell Populations with…
Summary of Fsl-rectifier: Rectify Outliers in Few-shot Learning Via Test-time Augmentation, by Yunwei Bai et al.
FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentationby Yunwei Bai, Ying Kiat Tan, Shiming…
Summary of Material Microstructure Design Using Vae-regression with Multimodal Prior, by Avadhut Sardeshmukh et al.
Material Microstructure Design Using VAE-Regression with Multimodal Priorby Avadhut Sardeshmukh, Sreedhar Reddy, BP Gautham, Pushpak…
Summary of Truthx: Alleviating Hallucinations by Editing Large Language Models in Truthful Space, By Shaolei Zhang et al.
TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Spaceby Shaolei Zhang, Tian Yu,…
Summary of Gradient-based Discrete Sampling with Automatic Cyclical Scheduling, by Patrick Pynadath et al.
Gradient-based Discrete Sampling with Automatic Cyclical Schedulingby Patrick Pynadath, Riddhiman Bhattacharya, Arun Hariharan, Ruqi ZhangFirst…
Summary of Sparse Variational Contaminated Noise Gaussian Process Regression with Applications in Geomagnetic Perturbations Forecasting, by Daniel Iong et al.
Sparse Variational Contaminated Noise Gaussian Process Regression with Applications in Geomagnetic Perturbations Forecastingby Daniel Iong,…
Summary of A Novel Image Space Formalism Of Fourier Domain Interpolation Neural Networks For Noise Propagation Analysis, by Peter Dawood et al.
A novel image space formalism of Fourier domain interpolation neural networks for noise propagation analysisby…
Summary of Iterated Inla For State and Parameter Estimation in Nonlinear Dynamical Systems, by Rafael Anderka et al.
Iterated INLA for State and Parameter Estimation in Nonlinear Dynamical Systemsby Rafael Anderka, Marc Peter…