A new pipeline leveraging AI and vision-language models creates richly detailed captions for comic panels, helping readers with visual impairments experience the full depth of comic stories while ...
Despite being optimized for reasoning, OpenAI’s o1 model continues to show sensitivity to probability and task frequency, revealing the deep-rooted impact of autoregressive training even in ...
In an article recently published in the journal Future Internet, researchers examined how artificial intelligence (AI), mainly large language models (LLMs), can transform modern network engineering.
*Important notice: arXiv publishes preliminary scientific reports that are not peer-reviewed and, therefore, should not be regarded as conclusive, guide clinical practice/health-related behavior, or ...
NVIDIA’s latest AI model, NVLM 1.0, pushes the boundaries of multimodal learning by mastering both visual and textual data, introducing powerful hybrid architectures, and setting a new standard in ...
New research reveals that advanced self-supervised learning models, such as SimCLR and Barlow Twins, can significantly improve anomaly detection in sewer systems, even when defect data is ...
Researchers explored how large language models (LLMs) can assist astronomy research but warned of ethical challenges, including hallucinations and over-reliance on these tools. They emphasize the need ...
Automating creativity: ComfyGen transforms how we generate images by dynamically adapting workflows to user prompts, surpassing traditional models and unlocking new possibilities in generative AI.
New research reveals that while humans excel in empathy-based tasks, AI models rapidly adapt to instructions, blurring the line between machine and human-written content. Research: Trying to be human: ...
*Important notice: arXiv publishes preliminary scientific reports that are not peer-reviewed and, therefore, should not be regarded as conclusive, guide clinical practice/health-related behavior, or ...
*Important notice: arXiv publishes preliminary scientific reports that are not peer-reviewed and, therefore, should not be regarded as conclusive, guide clinical practice/health-related behavior, or ...
HELMET redefines how we assess long-context models by shifting from synthetic tasks to real-world applications, offering deeper insights into model performance across diverse domains. Research: HELMET ...