Summary of Enhancing Few-shot Stock Trend Prediction with Large Language Models, by Yiqi Deng et al.
Enhancing Few-Shot Stock Trend Prediction with Large Language Modelsby Yiqi Deng, Xingwei He, Jiahao Hu,…
Enhancing Few-Shot Stock Trend Prediction with Large Language Modelsby Yiqi Deng, Xingwei He, Jiahao Hu,…
Swiss DINO: Efficient and Versatile Vision Framework for On-device Personal Object Searchby Kirill Paramonov, Jia-Xing…
SoftDedup: an Efficient Data Reweighting Method for Speeding Up Language Model Pre-trainingby Nan He, Weichen…
Cross-domain Few-shot In-context Learning for Enhancing Traffic Sign Recognitionby Yaozong Gan, Guang Li, Ren Togo,…
Neural varifolds: an aggregate representation for quantifying the geometry of point cloudsby Juheon Lee, Xiaohao…
MetaFruit Meets Foundation Models: Leveraging a Comprehensive Multi-Fruit Dataset for Advancing Agricultural Foundation Modelsby Jiajia…
Deep Content Understanding Toward Entity and Aspect Target Sentiment Analysis on Foundation Modelsby Vorakit Vorakitphan,…
Improving Retrieval-augmented Text-to-SQL with AST-based Ranking and Schema Pruningby Zhili Shen, Pavlos Vougiouklis, Chenxin Diao,…
Argument Mining in Data Scarce Settings: Cross-lingual Transfer and Few-shot Techniquesby Anar Yeginbergen, Maite Oronoz,…
Do Generalised Classifiers really work on Human Drawn Sketches?by Hmrishav Bandyopadhyay, Pinaki Nath Chowdhury, Aneeshan…