Summary of A Novel Compact Llm Framework For Local, High-privacy Ehr Data Applications, by Yixiang Qu et al.
A Novel Compact LLM Framework for Local, High-Privacy EHR Data Applicationsby Yixiang Qu, Yifan Dai,…
A Novel Compact LLM Framework for Local, High-Privacy EHR Data Applicationsby Yixiang Qu, Yifan Dai,…
Towards Cross-Lingual Audio Abuse Detection in Low-Resource Settings with Few-Shot Learningby Aditya Narayan Sankaran, Reza…
Sparse Attention Vectors: Generative Multimodal Model Features Are Discriminative Vision-Language Classifiersby Chancharik Mitra, Brandon Huang,…
A survey on cutting-edge relation extraction techniques based on language modelsby Jose A. Diaz-Garcia, Julio…
FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classificationby Zhengrui Guo, Conghao Xiong,…
UnifiedCrawl: Aggregated Common Crawl for Affordable Adaptation of LLMs on Low-Resource Languagesby Bethel Melesse Tessema,…
Do LLMs Understand Ambiguity in Text? A Case Study in Open-world Question Answeringby Aryan Keluskar,…
Hyperspectral Imaging-Based Grain Quality Assessment With Limited Labelled Databy Priyabrata Karmakar, Manzur Murshed, Shyh Wei…
Unlocking Transfer Learning for Open-World Few-Shot Recognitionby Byeonggeun Kim, Juntae Lee, Kyuhong Shim, Simyung ChangFirst…
Script-centric behavior understanding for assisted autism spectrum disorder diagnosisby Wenxing Liu, Yueran Pan, Ming LiFirst…