Summary of Exploring the Potential Of Large Language Models in Graph Generation, by Yang Yao et al.
Exploring the Potential of Large Language Models in Graph Generationby Yang Yao, Xin Wang, Zeyang…
Exploring the Potential of Large Language Models in Graph Generationby Yang Yao, Xin Wang, Zeyang…
VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesisby Yumeng Li, William Beluch, Margret Keuper,…
Clinical information extraction for Low-resource languages with Few-shot learning using Pre-trained language models and Promptingby…
CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classificationby Korbinian Randl, John Pavlopoulos, Aron…
Semantic Prompting with Image-Token for Continual Learningby Jisu Han, Jaemin Na, Wonjun HwangFirst submitted to…
Meta-Prompting for Automating Zero-shot Visual Recognition with LLMsby M. Jehanzeb Mirza, Leonid Karlinsky, Wei Lin,…
CPA-Enhancer: Chain-of-Thought Prompted Adaptive Enhancer for Object Detection under Unknown Degradationsby Yuwei Zhang, Yan Wu,…
On the low-shot transferability of [V]-Mambaby Diganta Misra, Jay Gala, Antonio OrvietoFirst submitted to arxiv…
MoPE: Mixture of Prompt Experts for Parameter-Efficient and Scalable Multimodal Fusionby Ruixiang Jiang, Lingbo Liu,…
Zero-shot and Few-shot Generation Strategies for Artificial Clinical Recordsby Erlend Frayling, Jake Lever, Graham McDonaldFirst…