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Found 8 papers, 5 papers with code
Mora: Enabling Generalist Video Generation via A Multi-Agent Framework
Sora is the first large-scale generalist video generation model that garnered significant attention across society.
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models
Sora is a text-to-video generative AI model, released by OpenAI in February 2024.
Fortifying Ethical Boundaries in AI: Advanced Strategies for Enhancing Security in Large Language Models
Recent advancements in large language models (LLMs) have significantly enhanced capabilities in natural language processing and artificial intelligence.
TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones
In recent years, multimodal large language models (MLLMs) such as GPT-4V have demonstrated remarkable advancements, excelling in a variety of vision-language tasks.
ArtGPT-4: Towards Artistic-understanding Large Vision-Language Models with Enhanced Adapter
However, a grand challenge of exploiting LLMs for multimodal learning is the size of pre-trained LLMs which are always with billions of parameters.
Hulk: Graph Neural Networks for Optimizing Regionally Distributed Computing Systems
Large deep learning models have shown great potential for delivering exceptional results in various applications.
EvoText: Enhancing Natural Language Generation Models via Self-Escalation Learning for Up-to-Date Knowledge and Improved Performance
EvoText enables the model to learn up-to-date knowledge through a self-escalation process that builds on a priori knowledge.
RPN: A Word Vector Level Data Augmentation Algorithm in Deep Learning for Language Understanding
However, existing data augmentation techniques in natural language understanding (NLU) may not fully capture the complexity of natural language variations, and they can be challenging to apply to large datasets.
