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Current scientific fact-checking benchmarks exhibit several shortcomings, such as biases arising from crowd-sourced claims and an over-reliance on text-based evidence.
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Jacob Cohen. 1960 · 1960
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Research Writing: A Workbook for Graduate Students
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Table-based fact verification with self-adaptive mixture of experts
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Tal Schuster, Darsh J. Shah, Yun Jie Serene Yeo, Daniel Filizzola, Enrico Santus, and Regina Barzilay. 2019 · 2019
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Tabfact: A large-scale dataset for table-based fact verification
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Hover: A dataset for many-hop fact extraction and claim verification
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BART: denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
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Fact or fiction: Verifying scientific claims
David Wadden, Shanchuan Lin, Kyle Lo, Lucy Lu Wang, Madeleine van Zuylen, Arman Cohan, and Hannaneh Hajishirzi. 2020 · 2020
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Program enhanced fact verification with verbalization and graph attention network
Xiaoyu Yang, Feng Nie, Yufei Feng, Quan Liu, Zhigang Chen, and Xiaodan Zhu. 2020 · 2020
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Logicalfactchecker: Leveraging logical operations for fact checking with graph module network
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Scigen: a dataset for reasoning-aware text generation from scientific tables
Nafise Sadat Moosavi, Andreas Rücklé, Dan Roth, and Iryna Gurevych. 2021 · 2021
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Covid-fact: Fact extraction and verification of real-world claims on COVID-19 pandemic
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Ofir Press, Muru Zhang, Sewon Min, Ludwig Schmidt, Noah A. Smith, and Mike Lewis. 2022 · 2022
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Scifact-open: Towards open-domain scientific claim verification
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Wei-Lin Chiang, Zhuohan Li, Zi Lin, Ying Sheng, Zhanghao Wu, Hao Zhang, Lianmin Zheng, Siyuan Zhuang, Yonghao Zhuang, Joseph E. Gonzalez, Ion Stoica, and Eric P. Xing. 2023 · 2023
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Evidence-based fact-checking of health-related claims
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Pubhealthtab: A public health table-based dataset for evidence-based fact checking
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PASTA: table-operations aware fact verification via sentence-table cloze pre-training
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A survey on automated fact-checking
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Check-covid: Fact-checking COVID-19 news claims with scientific evidence
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