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Recently, Large Language Models (LLMs) have drawn significant attention due to their outstanding reasoning capabilities and extensive knowledge repository, positioning them as superior in handling various natural language processing tasks compared to other language models.
Towards few-shot fact-checking via perplexity
Nayeon Lee, Yejin Bang, Andrea Madotto, and Pascale Fung. 2021 · 1981
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Meteor: An automatic metric for mt evaluation with improved correlation with human judgments
Satanjeev Banerjee and Alon Lavie. 2005 · 2005
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Automated fact checking: Task formulations, methods and future directions
James Thorne and Andreas Vlachos. 2018 · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 2019
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Deberta: Decoding-enhanced bert with disentangled attention
Pengcheng He, Xiaodong Liu, Jianfeng Gao, and Weizhu Chen. 2021 · 2021
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Lora: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2021 · 2021
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Improving evidence retrieval for automated explainable fact-checking
Chris Samarinas, Wynne Hsu, and Mong-Li Lee. 2021 · 2021
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Logic-level evidence retrieval and graph-based verification network for table-based fact verification
Qi Shi, Yu Zhang, Qingyu Yin, and Ting Liu. 2021 · 2021
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Table-based fact verification with salience-aware learning
Fei Wang, Kexuan Sun, Jay Pujara, Pedro A. Szekely, and Muhao Chen. 2021 · 2021
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Automated fact-checking: A survey
Xia Zeng, Amani S. Abumansour, and Arkaitz Zubiaga. 2021 · 2021
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Polimi-flatearthers at checkthat!-2022: GPT-3 applied to claim detection
Stefano Agresti, S. Amin Hashemian, and Mark J. Carman. 2022 · 2022
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Natural logic-guided autoregressive multi-hop document retrieval for fact verification
Rami Aly and Andreas Vlachos. 2022 · 2022
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Zorros at checkthat!-2022: Ensemble model for identifying relevant claims in tweets
Nicu Buliga and Madalina Raschip. 2022 · 2022
Cited alongside, same era.
GERE: generative evidence retrieval for fact verification
Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, and Xueqi Cheng. 2022 · 2022
Cited alongside, same era.
Glm: General language model pretraining with autoregressive blank infilling
Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, and Jie Tang. 2022 · 2022
Cited alongside, same era.
TOBB ETU at checkthat!-2022: Detecting attention-worthy and harmful tweets and check-worthy claims
Ahmet Bahadir Eyuboglu, Mustafa Bora Arslan, Ekrem Sonmezer, and Mücahid Kutlu. 2022 · 2022
Cited alongside, same era.
A survey on automated fact-checking
Zhijiang Guo, Michael Sejr Schlichtkrull, and Andreas Vlachos. 2022 · 2022
Cited alongside, same era.
Gpt understands, too
Xiao Liu, Yanan Zheng, Zhengxiao Du, Ming Ding, Yujie Qian, Zhilin Yang, and Jie Tang. 2023 · 2023
Closest in time.
Multi-hop evidence retrieval for cross-document relation extraction
Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, and Muhao Chen. 2023 · 2023
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Llms and finetuning: Benchmarking cross-domain performance for hate speech detection
Ahmad Nasir, Aadish Sharma, and Kokil Jaidka. 2023 · 2023
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OpenAI. 2023 · 2023
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Fact-checking complex claims with program-guided reasoning
Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan, and Preslav Nakov. 2023 · 2023
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CHEF: A pilot chinese dataset for evidence-based fact-checking
Xuming Hu, Zhijiang Guo, Guanyu Wu, Aiwei Liu, Lijie Wen, and Philip S. Yu. 2022 · 2022
Cited alongside, same era.
Overview of the CLEF-2022 checkthat! lab task 1 on identifying relevant claims in tweets
Preslav Nakov, Alberto Barrón-Cedeño, Giovanni Da San Martino, Firoj Alam, Rubén Míguez, Tommaso Caselli, Mücahid Kutlu, Wajdi Zaghouani, Chengkai Li, Shaden Shaar, Hamdy Mubarak, Alex Nikolov, and Yavuz Selim Kartal. 2022 · 2022
Cited alongside, same era.
Ai rational at checkthat! 2022: using transformer models for tweet classification
A Savchev. 2022 · 2022
Cited alongside, same era.
Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, and Denny Zhou. 2022 · 2022
Cited alongside, same era.
Explainable fact-checking through question answering
Jing Yang, Didier Augusto Vega-Oliveros, Tais Seibt, and Anderson Rocha. 2022 · 2022
Cited alongside, same era.
Aggregating pairwise semantic differences for few-shot claim verification
Xia Zeng and Arkaitz Zubiaga. 2022 · 2022
Cited alongside, same era.
Audiolog: Llms-powered long audio logging with acoustic scenes and events joint estimation
Jisheng Bai, Han Yin, Mou Wang, Dongyuan Shi, Woon-Seng Gan, and Jianfeng Chen. 2023 · 2023
Cited alongside, same era.
Aman Rangapur, Haoran Wang, and Kai Shu. 2023 · 2023
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Averitec: A dataset for real-world claim verification with evidence from the web
Michael Schlichtkrull, Zhijiang Guo, and Andreas Vlachos. 2023 · 2023
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Exploring faithful rationale for multi-hop fact verification via salience-aware graph learning
Jiasheng Si, Yingjie Zhu, and Deyu Zhou. 2023 · 2023
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Leveraging llms in scholarly knowledge graph question answering
Tilahun Abedissa Taffa and Ricardo Usbeck. 2023 · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al. 2023 · 2023
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Clinical text summarization: Adapting large language models can outperform human experts
Dave Van Veen, Cara Van Uden, Louis Blankemeier, Jean-Benoit Delbrouck, Asad Aali, Christian Bluethgen, Anuj Pareek, Malgorzata Polacin, Eduardo Pontes Reis, Anna Seehofnerova, Nidhi Rohatgi, Poonam Hosamani, William Collins, Neera Ahuja, Curtis P. Langlotz, Jason Hom, Sergios Gatidis, John Pauly, and Akshay S. Chaudhari. 2023 · 2023
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Check-covid: Fact-checking COVID-19 news claims with scientific evidence
Gengyu Wang, Kate Harwood, Lawrence Chillrud, Amith Ananthram, Melanie Subbiah, and Kathleen R. McKeown. 2023 · 2023
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Prompt to be consistent is better than self-consistent? few-shot and zero-shot fact verification with pre-trained language models
Fengzhu Zeng and Wei Gao. 2023 · 2023
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From relevance to utility: Evidence retrieval with feedback for fact verification
Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, and Xueqi Cheng. 2023 · 2023
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