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Found 7 papers, 1 papers with code
Uni-SMART: Universal Science Multimodal Analysis and Research Transformer
Scientific literature often includes a wide range of multimodal elements, such as molecular structure, tables, and charts, which are hard for text-focused LLMs to understand and analyze.
SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis
Recent breakthroughs in Large Language Models (LLMs) have revolutionized natural language understanding and generation, igniting a surge of interest in leveraging these technologies in the field of scientific literature analysis.
Multi-level protein pre-training with Vabs-Net
In recent years, there has been a surge in the development of 3D structure-based pre-trained protein models, representing a significant advancement over pre-trained protein language models in various downstream tasks.
Computational framework for the generation of one-dimensional vascular models accounting for uncertainty in networks extracted from medical images
This raises the question, if we are building patient-specific models based on uncertain measurements, how accurate are the geometries we extract and how can we best represent a patient's vasculature?
Human Machine Co-adaption Interface via Cooperation Markov Decision Process System
Based on the proposed co-adaptive MDPs, the simulation study indicates the non-stationary problem can be mitigated using various proposed Policy Improvement approaches.
Model-based Reinforcement Learning
Multi-agent Reinforcement Learning
+1
Thinking Image Color Aesthetics Assessment: Models, Datasets and Benchmarks
We present a comprehensive study on a new task named image color aesthetics assessment (ICAA), which aims to assess color aesthetics based on human perception.
Data Assimilation Predictive GAN (DA-PredGAN): applied to determine the spread of COVID-19
To predict the spread of COVID-19 in an idealised town, we apply these methods to a compartmental model in epidemiology that is able to model space and time variations.
