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Explaining EDA synthesis errors with LLMs
Training new engineers in digital design is a challenge, particularly when it comes to teaching the complex electronic design automation (EDA) tooling used in this domain.
A Continuously Growing Dataset of Sentential Paraphrases
The main advantage of our method is its simplicity, as it gets rid of the classifier or human in the loop needed to select data before annotation and subsequent application of paraphrase identification algorithms in the previous work.
KNET: A General Framework for Learning Word Embedding using Morphological Knowledge
In particular, we introduce a novel neural network architecture called KNET that leverages both contextual information and morphological word similarity built based on morphological knowledge to learn word embeddings.
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