23 citations · 40 across the 15 of their papers we have counts for
15 papers
FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learning
Duy Phuong Nguyen, J. Pablo Munoz, Ali Jannesari
In the rapidly evolving field of artificial intelligence, multimodal models, e.g., integrating vision and language into visual-language models (VLMs), have become pivotal for many…
Learn and Search: An Elegant Technique for Object Lookup using Contrastive Learning
Chandan Kumar, Jansel Herrera-Gerena, John Just +2
The rapid proliferation of digital content and the ever-growing need for precise object recognition and segmentation have driven the advancement of cutting-edge techniques in the f…
MPI Errors Detection using GNN Embedding and Vector Embedding over LLVM IR
Jad El Karchi, Hanze Chen, Ali TehraniJamsaz +3
Identifying errors in parallel MPI programs is a challenging task. Despite the growing number of verification tools, debugging parallel programs remains a significant challenge. Th…
Unsupervised learning based object detection using Contrastive Learning
Chandan Kumar, Jansel Herrera-Gerena, John Just +2
Training image-based object detectors presents formidable challenges, as it entails not only the complexities of object detection but also the added intricacies of precisely locali…
The Landscape and Challenges of HPC Research and LLMs
Le Chen, Nesreen K. Ahmed, Akash Dutta +14
Recently, language models (LMs), especially large language models (LLMs), have revolutionized the field of deep learning. Both encoder-decoder models and prompt-based techniques ha…
CompCodeVet: A Compiler-guided Validation and Enhancement Approach for Code Dataset
Le Chen, Arijit Bhattacharjee, Nesreen K. Ahmed +4
Large language models (LLMs) have become increasingly prominent in academia and industry due to their remarkable performance in diverse applications. As these models evolve with in…