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Contrastive Prompt Learning-based Code Search based on Interaction Matrix
However, existing code search methods still suffer from two performance constraints: inadequate semantic representation and the semantic gap between natural language (NL) and programming language (PL).
Predicting Li-ion Battery Cycle Life with LSTM RNN
Efficient and accurate remaining useful life prediction is a key factor for reliable and safe usage of lithium-ion batteries.
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