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Found 8 papers, 2 papers with code
ReMatch: Retrieval Enhanced Schema Matching with LLMs
In the ReMatch method the tables of the target schema and the attributes of the source schema are first represented as structured passage-based documents.
Evaluation Methodology for Large Language Models for Multilingual Document Question and Answer
With the widespread adoption of Large Language Models (LLMs), in this paper we investigate the multilingual capability of these models.
Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs
Large language models (LLMs) encapsulate a vast amount of factual information within their pre-trained weights, as evidenced by their ability to answer diverse questions across different domains.
Predicting Unplanned Readmissions in the Intensive Care Unit: A Multimodality Evaluation
Hospital readmissions are a significant problem in the healthcare domain, as they lead to increased hospitalization costs, decreased patient satisfaction, and increased risk of adverse outcomes such as infections, medication errors, and even death.
MessageNet: Message Classification using Natural Language Processing and Meta-data
To achieve message representation, each type of input is processed in a dedicated block in the neural network architecture that is suitable for the data type.
Low Latency Privacy Preserving Inference
When applying machine learning to sensitive data, one has to find a balance between accuracy, information security, and computational-complexity.
Wavelet Decomposition of Gradient Boosting
In this paper we introduce a significant improvement to the popular tree-based Stochastic Gradient Boosting algorithm using a wavelet decomposition of the trees.
Function space analysis of deep learning representation layers
In this paper we propose a function space approach to Representation Learning and the analysis of the representation layers in deep learning architectures.
