Summary of Unleash the Power Of Pre-trained Language Models For Irregularly Sampled Time Series, by Weijia Zhang et al.
Unleash The Power of Pre-Trained Language Models for Irregularly Sampled Time Seriesby Weijia Zhang, Chenlong…
Summary of Navigating Data Scarcity Using Foundation Models: a Benchmark Of Few-shot and Zero-shot Learning Approaches in Medical Imaging, by Stefano Woerner and Christian F. Baumgartner
Navigating Data Scarcity using Foundation Models: A Benchmark of Few-Shot and Zero-Shot Learning Approaches in…
Summary of A Spitting Image: Modular Superpixel Tokenization in Vision Transformers, by Marius Aasan et al.
A Spitting Image: Modular Superpixel Tokenization in Vision Transformersby Marius Aasan, Odd Kolbjørnsen, Anne Schistad…
Summary of Crome: Cross-modal Adapters For Efficient Multimodal Llm, by Sayna Ebrahimi et al.
CROME: Cross-Modal Adapters for Efficient Multimodal LLMby Sayna Ebrahimi, Sercan O. Arik, Tejas Nama, Tomas…
Summary of Perceptual Similarity For Measuring Decision-making Style and Policy Diversity in Games, by Chiu-chou Lin et al.
Perceptual Similarity for Measuring Decision-Making Style and Policy Diversity in Gamesby Chiu-Chou Lin, Wei-Chen Chiu,…
Summary of Synthetic Patient-physician Dialogue Generation From Clinical Notes Using Llm, by Trisha Das et al.
Synthetic Patient-Physician Dialogue Generation from Clinical Notes Using LLMby Trisha Das, Dina Albassam, Jimeng SunFirst…
Summary of Efficient and Versatile Robust Fine-tuning Of Zero-shot Models, by Sungyeon Kim et al.
Efficient and Versatile Robust Fine-Tuning of Zero-shot Modelsby Sungyeon Kim, Boseung Jeong, Donghyun Kim, Suha…
Summary of On Zero-shot Learning in Neural State Estimation Of Power Distribution Systems, by Aleksandr Berezin et al.
On zero-shot learning in neural state estimation of power distribution systemsby Aleksandr Berezin, Stephan Balduin,…
Summary of An Evaluation Of Standard Statistical Models and Llms on Time Series Forecasting, by Rui Cao and Qiao Wang
An Evaluation of Standard Statistical Models and LLMs on Time Series Forecastingby Rui Cao, Qiao…
Summary of Leveraging Large Language Models with Chain-of-thought and Prompt Engineering For Traffic Crash Severity Analysis and Inference, by Hao Zhen et al.
Leveraging Large Language Models with Chain-of-Thought and Prompt Engineering for Traffic Crash Severity Analysis and…