Papers with pragmatic strategies

2 papers
Inquisitive Question Generation for High Level Text Comprehension (2020.emnlp-main)

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Challenge: Existing data-driven questions generate questions that fill gaps in knowledge . a dataset of 19K questions is used to generate meaningful questions .
Approach: They propose a dataset of 19K questions that are elicited while a person is reading a document.
Outcome: The proposed model generates reasonable questions, but the task is challenging.
They want to pretend not to understand: The Limits of Current LLMs in Interpreting Implicit Content of Political Discourse (2025.findings-acl)

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Challenge: a recent study shows that large language models lack the pragmatic capabilities needed to interpret highly implicit content.
Approach: They propose to use transcribed italian political speeches to test their ability to interpret implicit content.
Outcome: The proposed model provides a fully correct explanation in only one-fourth of cases in the open-ended generation setup.

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