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Found 2 papers, 1 papers with code
A Generative Approach for Mitigating Structural Biases in Natural Language Inference
Many natural language inference (NLI) datasets contain biases that allow models to perform well by only using a biased subset of the input, without considering the remainder features.
Generating Abstractive Summaries with Finetuned Language Models
Neural abstractive document summarization is commonly approached by models that exhibit a mostly extractive behavior.
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