Summary of Embedding Ontologies Via Incorporating Extensional and Intensional Knowledge, by Keyu Wang et al.
Embedding Ontologies via Incorporating Extensional and Intensional Knowledgeby Keyu Wang, Guilin Qi, Jiaoyan Chen, Yi…
Embedding Ontologies via Incorporating Extensional and Intensional Knowledgeby Keyu Wang, Guilin Qi, Jiaoyan Chen, Yi…
Dual-Student Knowledge Distillation Networks for Unsupervised Anomaly Detectionby Liyi Yao, Shaobing GaoFirst submitted to arxiv…
Paramanu: A Family of Novel Efficient Generative Foundation Language Models for Indian Languagesby Mitodru Niyogi,…
Embracing Language Inclusivity and Diversity in CLIP through Continual Language Learningby Bang Yang, Yong Dai,…
Two Heads Are Better Than One: Integrating Knowledge from Knowledge Graphs and Large Language Models…
Revolutionizing Retrieval-Augmented Generation with Enhanced PDF Structure Recognitionby Demiao LinFirst submitted to arxiv on: 23…
Semi-supervised segmentation of land cover images using nonlinear canonical correlation analysis with multiple features and…
Text Embedding Inversion Security for Multilingual Language Modelsby Yiyi Chen, Heather Lent, Johannes BjervaFirst submitted…
Prompting Large Vision-Language Models for Compositional Reasoningby Timothy Ossowski, Ming Jiang, Junjie HuFirst submitted to…
Memory-Efficient Prompt Tuning for Incremental Histopathology Classificationby Yu Zhu, Kang Li, Lequan Yu, Pheng-Ann HengFirst…