Atmospheric science and meteorology have recently made strides in modeling local weather and climate phenomena by capturing fine-scale dynamics crucial…
Machine Learning
Contrastive image and text models face significant challenges in optimizing retrieval accuracy despite their crucial role in large-scale text-to-image and…
Ischemic stroke (IS) is one of the leading causes of disability and mortality in the world. It is caused by…
In today’s data-driven world, data analysts play a crucial role in various domains. Businesses use data extensively to inform strategy,…
Foundation models show impressive capabilities across tasks and modalities, outperforming traditional AI approaches often task-specific and limited by modality. In…
Recurrent Neural Networks were the trailblazers in natural language processing and set the cornerstone for future advances. RNNs were simple…
The advent of AI has revolutionized the landscape of graphic design. AI graphic design tools are reshaping the way designers…
The landscape of AI research is experiencing significant challenges due to the immense computational requirements of large pre-trained language and…
The use of large language models like GPT-4o and GPT-4o-mini has brought significant advancements in natural language processing, enabling high-quality…
Flow-based generative modeling stands out in computational science as a sophisticated approach that facilitates rapid and accurate inferences for complex,…
This paper was accepted at the Adaptive Foundation Models (AFM) workshop at NeurIPS Workshop 2024. Follow-up conversations with virtual assistants…
In recent years, the field of text-to-speech (TTS) synthesis has seen rapid advancements, yet it remains fraught with challenges. Traditional…
Large pretrained vision-language models like CLIP have shown promising generalization capability, but may struggle in specialized domains (e.g., satellite imagery)…
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Large Language Models (LLMs) have demonstrated remarkable in-context learning (ICL) capabilities, where they can learn tasks from demonstrations without requiring…
Foundation models hold promise in medicine, especially in assisting complex tasks like Medical Decision-Making (MDM). MDM is a nuanced process…
Recent advancements in generative language modeling have propelled natural language processing, making it possible to create contextually rich and coherent…
Large language models (LLMs) are getting better at scaling and handling long contexts. As they are being used on a…
Evaluating NLP models has become increasingly complex due to issues like benchmark saturation, data contamination, and the variability in test…
In the fast-paced digital age, AI assistants have become essential tools for enhancing productivity, managing workflows, and providing personalized support…