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Open-World Factually Consistent Question Generation
ACL Anthology
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ACL Anthology
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由 H Maheshwari 著作2023被引用 3 次 — In this work, we propose an effective data processing technique based on de-lexicalization for consistent question generation across domains. Unlike existing ...
Open-World Factually Consistent Question Generation
ResearchGate
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ResearchGate
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We investigate the less-explored task of generating open-ended questions that are typically answered by multiple sentences. We first define a new question type ...
Self-Consistent Decoding for More Factual Open Responses
arXiv
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arXiv
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2024年3月1日 — Self-consistency has emerged as a powerful method for improving the accuracy of short answers generated by large language models. As previously ...
TRUE: Re-evaluating Factual Consistency Evaluation
OpenReview
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OpenReview
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由 O HonovichT 著作被引用 209 次 — A core issue in deploying text generation mod- els for real-world applications is that they often generate factually inconsistent text with respect to the input ...
16 頁
TRUE: Re-evaluating Factual Consistency Evaluation
Google Research
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Google Research
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由 O Honovich 著作被引用 208 次 — We introduce TRUE: a comprehensive study of factual consistency metrics on a standardized collection of existing texts from diverse tasks.
Face4Rag: Factual Consistency Evaluation for Retrieval ...
ACM Digital Library
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ACM Digital Library
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由 Y Xu 著作2024被引用 2 次 — In this video, we explore the challenges of factuality faced by Retrieval-Augmented Generation (RAG) systems, such as hallucination and causal ...
An Extensive Evaluation of Factual Consistency in Large ...
arXiv
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arXiv
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2024年11月28日 — To ensure a thorough evaluation of factual consistency, we use four state-of-the-art automatic metrics and include essential human assessments.
Learning Factual Consistency Evaluation with Large ...
OpenReview
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OpenReview
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由 Z Gekhman 著作被引用 66 次 — The paper introduces TrueTeacher, a method to enhance factual consistency evaluation in summarization by generating extensive training data. TrueTeacher ...
Question-Generation-Paper-List/README_by_year.md at ...
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GitHub
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A summary of must-read papers for Neural Question Generation (NQG). Please follow this link to view papers by topics.
Question Generation
Papers With Code
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The goal of **Question Generation** is to generate a valid and fluent question according to a given passage and the target answer. Question Generation can ...