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Review and experimental benchmarking of machine learning algorithms for efficient optimization of cold atom experiments
The generation of cold atom clouds is a complex process which involves the optimization of noisy data in high dimensional parameter spaces.
GRM: Generative Relevance Modeling Using Relevance-Aware Sample Estimation for Document Retrieval
Recent studies show that Generative Relevance Feedback (GRF), using text generated by Large Language Models (LLMs), can enhance the effectiveness of query expansion.
Integrating Subgraph-aware Relation and DirectionReasoning for Question Answering
Question Answering (QA) models over Knowledge Bases (KBs) are capable of providing more precise answers by utilizing relation information among entities.
Not Just Depressed: Bipolar Disorder Prediction on Reddit
Bipolar disorder, an illness characterized by manic and depressive episodes, affects more than 60 million people worldwide.
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