Papers with question generation system

2 papers
Zero-shot Neural Passage Retrieval via Domain-targeted Synthetic Question Generation (2021.eacl-main)

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Challenge: Recent advances in neural retrieval have led to advancements on document, passage and knowledge-base benchmarks.
Approach: They propose an approach to zero-shot learning for passage retrieval that uses synthetic question generation to close this gap.
Outcome: The proposed approach can exceed term-based techniques on document retrieval benchmarks by using domain-targeted synthetic question generation.
Socratic Pretraining: Question-Driven Pretraining for Controllable Summarization (2023.acl-long)

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Challenge: Existing methods to control document controllable summarization lack abundant labeled data.
Approach: They propose a question-driven, unsupervised pretraining objective to improve controllability in document controllable summarization tasks.
Outcome: The proposed method outperforms pre-finetuning approaches on QMSum and SQuALITY.

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