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Found 3 papers, 1 papers with code
Prompting-based Synthetic Data Generation for Few-Shot Question Answering
With this motivation, we show that using large language models can improve Question Answering performance on various datasets in the few-shot setting compared to state-of-the-art approaches.
Improving Low-Resource Question Answering using Active Learning in Multiple Stages
Furthermore, they often yield very good performance but only in the domain they were trained on.
Enabling Reproducibility and Meta-learning Through a Lifelong Database of Experiments (LDE)
We present the Lifelong Database of Experiments (LDE) that automatically extracts and stores linked metadata from experiment artifacts and provides features to reproduce these artifacts and perform meta-learning across them.
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