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The large and ever-increasing amount of data available on the Internet coupled with the laborious task of manual claim and fact verification has sparked the interest in the development of automated claim verification systems.
Detecting check-worthy factual claims in presidential debates
Naeemul Hassan, Chengkai Li, and Mark Tremayne · 2015
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Progress toward “the holy grail”: The continued quest to automate fact-checking
Bill Adair, Chengkai Li, et al · 2017
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Reading wikipedia to answer open-domain questions
Danqi Chen, Adam Fisch, et al · 2017
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“liar, liar pants on fire”: A new benchmark dataset for fake news detection
William Yang Wang · 2017
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Fever: a large-scale dataset for fact extraction and verification
James Thorne, Andreas Vlachos, et al · 2018
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The fact extraction and verification (fever) shared task
James Thorne, Andreas Vlachos, et al · 2018
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Multifc: A real-world multi-domain dataset for evidence-based fact checking of claims
Isabelle Augenstein, Christina Lioma, et al · 2019
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Overview of checkthat! 2020: Automatic identification and verification of claims in social media
Alberto Barrón-Cedeno, Tamer Elsayed, et al · 2020
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Longformer: The long-document transformer
Iz Beltagy, Matthew E Peters, and Arman Cohan · 2020
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Language models are few-shot learners
Tom Brown, Benjamin Mann, et al · 2020
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Climate-fever: A dataset for verification of real-world climate claims
Thomas Diggelmann, Jordan Boyd-Graber, et al · 2020
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A machine-learning-based pipeline approach to automated fact-checking
Andreas Hanselowski · 2020
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Hover: A dataset for many-hop fact extraction and claim verification
Yichen Jiang, Shikha Bordia, et al · 2020
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Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, et al · 2020
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How context affects language models’ factual predictions
Fabio Petroni, Patrick Lewis, et al · 2020
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That is a known lie: Detecting previously fact-checked claims
Shaden Shaar, Nikolay Babulkov, et al · 2020
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Fact or fiction: Verifying scientific claims
David Wadden, Shanchuan Lin, et al · 2020
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Feverous: Fact extraction and verification over unstructured and structured information
Rami Aly, Zhijiang Guo, et al · 2021
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A review on fact extraction and verification
Giannis Bekoulis, Christina Papagiannopoulou, and Nikos Deligiannis · 2021
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Fool me twice: Entailment from wikipedia gamification
Julian Eisenschlos, Bhuwan Dhingra, et al · 2021
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X-fact: A new benchmark dataset for multilingual fact checking
Ashim Gupta and Vivek Srikumar · 2021
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Baleen: Robust multi-hop reasoning at scale via condensed retrieval
Omar Khattab, Christopher Potts, and Matei Zaharia · 2021
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Entity-based knowledge conflicts in question answering
Shayne Longpre, Kartik Perisetla, et al · 2021
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The clef-2021 checkthat! lab on detecting check-worthy claims, previously fact-checked claims, and fake news
Preslav Nakov, Giovanni Da San Martino, et al · 2021
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Zero-shot fact verification by claim generation
Liangming Pan, Wenhu Chen, et al · 2021
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Scientific claim verification with vert5erini
Ronak Pradeep, Xueguang Ma, et al · 2021
Earlier work this paper cites.
Scaling language models: Methods, analysis & insights from training gopher
Jack W Rae, Sebastian Borgeaud, et al · 2021
Earlier work this paper cites.
Covid-fact: Fact extraction and verification of real-world claims on covid-19 pandemic
Arkadiy Saakyan, Tuhin Chakrabarty, and Smaranda Muresan · 2021
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Get your vitamin c! robust fact verification with contrastive evidence
Tal Schuster, Adam Fisch, and Regina Barzilay · 2021
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Overview and insights from the sciver shared task on scientific claim verification
David Wadden and Kyle Lo · 2021
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Semeval-2021 task 9: Fact verification and evidence finding for tabular data in scientific documents (sem-tab-facts)
Nancy XR Wang, Diwakar Mahajan, et al · 2021
Earlier work this paper cites.
Automated fact-checking: A survey
Xia Zeng, Amani S Abumansour, and Arkaitz Zubiaga · 2021
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Rich knowledge sources bring complex knowledge conflicts: Recalibrating models to reflect conflicting evidence
Hung-Ting Chen, Michael Zhang, and Eunsol Choi · 2022
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Gere: Generative evidence retrieval for fact verification
Jiangui Chen, Ruqing Zhang, et al · 2022
Earlier work this paper cites.
Corpusbrain: Pre-train a generative retrieval model for knowledge-intensive language tasks
Jiangui Chen, Ruqing Zhang, et al · 2022
Earlier work this paper cites.
Generating literal and implied subquestions to fact-check complex claims
Jifan Chen, Aniruddh Sriram, et al · 2022
Earlier work this paper cites.
Re2g: Retrieve, rerank, generate
Michael Glass, Gaetano Rossiello, et al · 2022
Earlier work this paper cites.
A survey on automated fact-checking
Zhijiang Guo, Michael Schlichtkrull, and Andreas Vlachos · 2022
Earlier work this paper cites.
Matching tweets with applicable fact-checks across languages
A Kazemi, Z Li, et al · 2022
Earlier work this paper cites.
Large language models are zero-shot reasoners
Takeshi Kojima, Shixiang Shane Gu, et al · 2022
Earlier work this paper cites.
Factuality enhanced language models for open-ended text generation
Nayeon Lee, Wei Ping, et al · 2022
Cited alongside, same era.
Scifact-open: Towards open-domain scientific claim verification
David Wadden, Kyle Lo, et al · 2022
Cited alongside, same era.
Multivers: Improving scientific claim verification with weak supervision and full-document context
David Wadden, Kyle Lo, et al · 2022
Cited alongside, same era.
Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, et al · 2022
Cited alongside, same era.
A coarse-to-fine cascaded evidence-distillation neural network for explainable fake news detection
Zhiwei Yang, Jing Ma, et al · 2022
Cited alongside, same era.
Star: Bootstrapping reasoning with reasoning
Eric Zelikman, Yuhuai Wu, et al · 2022
Towards llm-based fact verification on news claims with a hierarchical step-by-step prompting method
Xuan Zhang and Wei Gao · 2023
Later among the works it cites.
From relevance to utility: Evidence retrieval with feedback for fact verification
Hengran Zhang, Ruqing Zhang, et al · 2023
Later among the works it cites.
Synthetic lies: Understanding ai-generated misinformation and evaluating algorithmic and human solutions
Jiawei Zhou, Yixuan Zhang, et al · 2023
Later among the works it cites.
EXPLAIN, EDIT, GENERATE: Rationale-sensitive counterfactual data augmentation for multi-hop fact verification
Yingjie Zhu, Jiasheng Si, et al · 2023
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Can large language models detect misinformation in scientific news reporting?
Yupeng Cao, Aishwarya Muralidharan Nair, et al · 2024
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Cited alongside, same era.
Combating misinformation in the age of llms: Opportunities and challenges
Canyu Chen and Kai Shu · 2023
Cited alongside, same era.
A unified generative retriever for knowledge-intensive language tasks via prompt learning
Jiangui Chen, Ruqing Zhang, et al · 2023
Cited alongside, same era.
Complex claim verification with evidence retrieved in the wild
Jifan Chen, Grace Kim, et al · 2023
Cited alongside, same era.
Factool: Factuality detection in generative ai–a tool augmented framework for multi-task and multi-domain scenarios
I Chern, Steffi Chern, et al · 2023
Cited alongside, same era.
Retrieval-augmented generation for large language models: A survey
Yunfan Gao, Yun Xiong, et al · 2023
Cited alongside, same era.
Language models hallucinate, but may excel at fact verification
Jian Guan, Jesse Dodge, et al · 2023
Cited alongside, same era.
Xiaoxia Cheng, Zeqi Tan, and Weiming Lu · 2024
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Team trifecta at factify5wqa: Setting the standard in fact verification with fine-tuning
Shang-Hsuan Chiang, Ming-Chih Lo, et al · 2024
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Automated claim matching with large language models: empowering fact-checkers in the fight against misinformation
Eun Cheol Choi and Emilio Ferrara · 2024
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Claimver: Explainable claim-level verification and evidence attribution of text through knowledge graphs
Preetam Prabhu Srikar Dammu, Himanshu Naidu, et al · 2024
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Classifying human-generated and ai-generated election claims in social media
Alphaeus Dmonte, Marcos Zampieri, et al · 2024
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Assessing the reasoning abilities of chatgpt in the context of claim verification
John Dougrez-Lewis, Mahmud Elahi Akhter, et al · 2024
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Counterfactual debating with preset stances for hallucination elimination of llms
Yi Fang, Moxin Li, et al · 2024
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Trumorgpt: Query optimization and semantic reasoning over networks for automated fact-checking
Ching Nam Hang, Pei-Duo Yu, and Chee Wei Tan · 2024
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Training language models to generate text with citations via fine-grained rewards
Chengyu Huang, Zeqiu Wu, et al · 2024
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Robust claim verification through fact detection
Nazanin Jafari and James Allan · 2024
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Triple-r: Automatic reasoning for fact verification using language models
Mohammadamin Kanaani · 2024
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Magic: Multi-argument generation with self-refinement for domain generalization in automatic fact-checking
Wei-Yu Kao and An-Zi Yen · 2024
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Faaf: Facts as a function for the evaluation of rag systems
Vasileios Katranidis and Gabor Barany · 2024
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Minimal evidence group identification for claim verification
Xiangci Li, Sihao Chen, et al · 2024
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Chain-of-knowledge: Grounding large language models via dynamic knowledge adapting over heterogeneous sources
Xingxuan Li, Ruochen Zhao, et al · 2024
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Ex-fever: A dataset for multi-hop explainable fact verification
Huanhuan Ma, Weizhi Xu, et al · 2024
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Expertqa: Expert-curated questions and attributed answers
Chaitanya Malaviya, Subin Lee, et al · 2024
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Dynamicqa: Tracing internal knowledge conflicts in language models
Sara Vera Marjanović, Haeun Yu, et al · 2024
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Afacta: Assisting the annotation of factual claim detection with reliable llm annotators
Jingwei Ni, Minjing Shi, et al · 2024
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Claim detection for automated fact-checking: A survey on monolingual, multilingual and cross-lingual research
Rrubaa Panchendrarajan and Arkaitz Zubiaga · 2024
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Evidence to generate (e2g): A single-agent two-step prompting for context grounded and retrieval augmented reasoning
Md Rizwan Parvez · 2024
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The perils and promises of fact-checking with large language models
Dorian Quelle and Alexandre Bovet · 2024
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Averitec: A dataset for real-world claim verification with evidence from the web
Michael Schlichtkrull, Zhijiang Guo, and Andreas Vlachos · 2024
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Veriscore: Evaluating the factuality of verifiable claims in long-form text generation
Yixiao Song, Yekyung Kim, and Mohit Iyyer · 2024
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Minicheck: Efficient fact-checking of llms on grounding documents
Liyan Tang, Philippe Laban, and Greg Durrett · 2024
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Factcheck-bench: Fine-grained evaluation benchmark for automatic fact-checkers
Yuxia Wang, Revanth Gangi Reddy, et al · 2024
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Long-form factuality in large language models
Jerry Wei, Chengrun Yang, et al · 2024
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Improving retrieval augmented language model with self-reasoning
Yuan Xia, Jingbo Zhou, et al · 2024
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Knowledge conflicts for llms: A survey
Rongwu Xu, Zehan Qi, et al · 2024
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Search-in-the-chain: Interactively enhancing large language models with search for knowledge-intensive tasks
Shicheng Xu, Liang Pang, et al · 2024
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Making retrieval-augmented language models robust to irrelevant context
Ori Yoran, Tomer Wolfson, et al · 2024
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Stochastic rag: End-to-end retrieval-augmented generation through expected utility maximization
Hamed Zamani and Michael Bendersky · 2024
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Maple: Micro analysis of pairwise language evolution for few-shot claim verification
Xia Zeng and Arkaitz Zubiaga · 2024
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Reinforcement retrieval leveraging fine-grained feedback for fact checking news claims with black-box llm
Xuan Zhang and Wei Gao · 2024
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Pacar: Automated fact-checking with planning and customized action reasoning using large language models
Xiaoyan Zhao, Lingzhi Wang, et al · 2024
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