Automation of radiology report generation has become one of the important areas of interest in biomedical natural language processing. This ...
Vision and language models (VLM) represent an advanced field within artificial intelligence, integrating computer vision and natural language processing to ...
The development of VLM in the biomedical domain faces challenges due to the lack of large-scale, annotated, and publicly accessible ...
Large pre-trained models are showing increasingly better performance on reasoning and planning tasks in different modalities, opening up the possibility ...
Understanding long videos, such as 24-hour CCTV footage or full movies, is a major challenge in video processing. Large Language ...
This paper presents an efficient decoding approach for end-to-end automatic speech recognition (E2E-ASR) with large language models (LLM). Although shallow ...
Why and how to convert mT5 into a regression metric for numerical predictionScreenshot of https://huggingface.co/google/mt5-largeMy bachelor's thesis was a research ...
Multimodal Large Language Models (MLLM) bridge vision and language, enabling effective interpretation of visual content. However, achieving an accurate and ...
Chemical reasoning involves complex, multi-step processes that require precise calculations, where small errors can lead to major problems. LLMs often ...
Large language models (LLMs) have become fundamental to natural language processing (NLP), excelling at tasks such as text generation, comprehension, ...
