Search Results for author:
Found 3 papers, 1 papers with code
Cross-Task Defense: Instruction-Tuning LLMs for Content Safety
Recent studies reveal that Large Language Models (LLMs) face challenges in balancing safety with utility, particularly when processing long texts for NLP tasks like summarization and translation.
Medical Vision-Language Pre-Training for Brain Abnormalities
Vision-language models have become increasingly powerful for tasks that require an understanding of both visual and linguistic elements, bridging the gap between these modalities.
BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis
Vision-and-language(V&L) models take image and text as input and learn to capture the associations between them.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
