Summary of Efficiently Deploying Llms with Controlled Risk, by Michael J. Zellinger and Matt Thomson
Efficiently Deploying LLMs with Controlled Riskby Michael J. Zellinger, Matt ThomsonFirst submitted to arxiv on:…
Summary of C-melt: Contrastive Enhanced Masked Auto-encoders For Ecg-language Pre-training, by Manh Pham et al.
C-MELT: Contrastive Enhanced Masked Auto-Encoders for ECG-Language Pre-Trainingby Manh Pham, Aaqib Saeed, Dong MaFirst submitted…
Summary of House Of Cards: Massive Weights in Llms, by Jaehoon Oh et al.
House of Cards: Massive Weights in LLMsby Jaehoon Oh, Seungjun Shin, Dokwan OhFirst submitted to…
Summary of The Labyrinth Of Links: Navigating the Associative Maze Of Multi-modal Llms, by Hong Li et al.
The Labyrinth of Links: Navigating the Associative Maze of Multi-modal LLMsby Hong Li, Nanxi Li,…
Summary of Cableinspect-ad: An Expert-annotated Anomaly Detection Dataset, by Akshatha Arodi et al.
CableInspect-AD: An Expert-Annotated Anomaly Detection Datasetby Akshatha Arodi, Margaux Luck, Jean-Luc Bedwani, Aldo Zaimi, Ge…
Summary of Personalisation Via Dynamic Policy Fusion, by Ajsal Shereef Palattuparambil et al.
Personalisation via Dynamic Policy Fusionby Ajsal Shereef Palattuparambil, Thommen George Karimpanal, Santu RanaFirst submitted to…
Summary of “oh Llm, I’m Asking Thee, Please Give Me a Decision Tree”: Zero-shot Decision Tree Induction and Embedding with Large Language Models, by Ricardo Knauer et al.
“Oh LLM, I’m Asking Thee, Please Give Me a Decision Tree”: Zero-Shot Decision Tree Induction…
Summary of Language Models As Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models, by Hui-po Wang et al.
Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Modelsby Hui-Po Wang,…
Summary of Vision-language Model Fine-tuning Via Simple Parameter-efficient Modification, by Ming Li et al.
Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modificationby Ming Li, Jike Zhong, Chenxin Li, Liuzhuozheng Li,…
Summary of Fields Of the World: a Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation, by Hannah Kerner et al.
Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentationby…