A review of large language models and autonomous agents in chemistry
Large language models (LLMs) have emerged as powerful tools in chemistry, significantly
impacting molecule design, property prediction, and synthesis optimization. This review …
impacting molecule design, property prediction, and synthesis optimization. This review …
Deep learning for surgical workflow analysis: a survey of progresses, limitations, and trends
Y Li, Z Zhao, R Li, F Li - Artificial Intelligence Review, 2024 - Springer
Automatic surgical workflow analysis, which aims to recognize the ongoing surgical events
in videos, is fundamental for develo** context-aware computer-assisted systems. This …
in videos, is fundamental for develo** context-aware computer-assisted systems. This …
Medadapter: Efficient test-time adaptation of large language models towards medical reasoning
[HTML][HTML] Multimodal Semantic Collaborative Classification for Hyperspectral Images and LiDAR Data
A Wang, S Dai, H Wu, Y Iwahori - Remote Sensing, 2024 - mdpi.com
Although the collaborative use of hyperspectral images (HSIs) and LiDAR data in land cover
classification tasks has demonstrated significant importance and potential, several …
classification tasks has demonstrated significant importance and potential, several …
Towards building specialized generalist ai with system 1 and system 2 fusion
In this perspective paper, we introduce the concept of Specialized Generalist Artificial
Intelligence (SGAI or simply SGI) as a crucial milestone toward Artificial General Intelligence …
Intelligence (SGAI or simply SGI) as a crucial milestone toward Artificial General Intelligence …
[PDF][PDF] A comprehensive survey of small language models in the era of large language models: Techniques, enhancements, applications, collaboration with llms, and …
Large language models (LLM) have demonstrated emergent abilities in text generation,
question answering, and reasoning, facilitating various tasks and domains. Despite their …
question answering, and reasoning, facilitating various tasks and domains. Despite their …
Utsa-nlp at chemotimelines 2024: Evaluating instruction-tuned language models for temporal relation extraction
This paper presents our approach for the 2024 ChemoTimelines shared task. Specifically,
we explored using Large Language Models (LLMs) for temporal relation extraction. We …
we explored using Large Language Models (LLMs) for temporal relation extraction. We …