IQA is a pragmatically difficult task where multilingual models achieve low performance and overfit severely, even for English, and GPT-4o-mini cannot generate high-quality training data for it.
Our experiments confirm that IQA is pragmatically hard for high- and low-resource languages and we find that a large dataset is beneficial for good performance
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Indirect Question Answering in English, German and Bavarian: A Challenging Task for High- and Low-Resource Languages Alike
IQA is a pragmatically difficult task where multilingual models achieve low performance and overfit severely, even for English, and GPT-4o-mini cannot generate high-quality training data for it.