HIGHLIGHTS
- What: The aim of Few-Shot learning is to decrease the model`s dependence on labeled records and allow for effective generalization through numerous jobs and fields. Escalating the dataset and including further innovative methods, such as refinement of pre-trained models, could lead to even better performance and extensive usage of the model introduced.
- Who: Pylarinos from the Department of Computer Science and Engineering, GITAM (Deemed to be University), Hyderabad, India have published the research work: Stance Detection in Hinglish Data using the BART-large-MNLI Integration Model, in the Journal: (JOURNAL)
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