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Found 4 papers, 3 papers with code
Automatically Generating Cause-and-Effect Questions from Passages
Automated question generation has the potential to greatly aid in education applications, such as online study aids to check understanding of readings.
Educational Multi-Question Generation for Reading Comprehension
Automated question generation has made great advances with the help of large NLP generation models.
ProtiGeno: a prokaryotic short gene finder using protein language models
Prokaryotic gene prediction plays an important role in understanding the biology of organisms and their function with applications in medicine and biotechnology.
Spectral Regularization Allows Data-frugal Learning over Combinatorial Spaces
Data-driven machine learning models are being increasingly employed in several important inference problems in biology, chemistry, and physics which require learning over combinatorial spaces.
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