Multi-Layer Ranking with Large Language Models for News Source Recommendation

Mabrook Al-Rakhami and Atif Alamri. 2020. Lies Kill, Facts Save: Detecting COVID-19 Misinformation in Twitter. IEEE Access, Vol. 8 (2020), 155961--155970. https://doi.org/10.1109/ACCESS.2020.3019600

Isabelle Augenstein, Christina Lioma, Dongsheng Wang, Lucas Chaves Lima, Casper Hansen, Christian Hansen, and Jakob Grue Simonsen. 2019. MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3--7, 2019, Kentaro Inui, Jing Jiang, Vincent Ng, and Xiaojun Wan (Eds.). Association for Computational Linguistics, 4684--4696. https://doi.org/10.18653/V1/D19--1475

Krisztian Balog, Leif Azzopardi, and Maarten de Rijke. 2009. A language modeling framework for expert finding. Inf. Process. Manag., Vol. 45, 1 (2009), 1--19. https://doi.org/10.1016/J.IPM.2008.06.003

Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020. Language Models are Few-Shot Learners. In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6--12, 2020, virtual, Hugo Larochelle, Marc'Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, and Hsuan-Tien Lin (Eds.). https://proceedings.neurips.cc/paper/2020/hash/1457c0d6bfcb4967418bfb8ac142f64a-Abstract.html

Tien Duc Cao, Ludivine Duroyon, Francc ois Goasdoué, Ioana Manolescu, and Xavier Tannier. 2019. BeLink: Querying Networks of Facts, Statements and Beliefs. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3--7, 2019, Wenwu Zhu, Dacheng Tao, Xueqi Cheng, Peng Cui, Elke A. Rundensteiner, David Carmel, Qi He, and Jeffrey Xu Yu (Eds.). ACM, 2941--2944. https://doi.org/10.1145/3357384.3357851

Zi Chu, Steven Gianvecchio, Haining Wang, and Sushil Jajodia. 2012. Detecting Automation of Twitter Accounts: Are You a Human, Bot, or Cyborg? IEEE Trans. Dependable Secur. Comput., Vol. 9, 6 (2012), 811--824. https://doi.org/10.1109/TDSC.2012.75

Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang, and Jun Xu. 2023. Uncovering ChatGPT's Capabilities in Recommender Systems. In Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, September 18--22, 2023, Jie Zhang, Li Chen, Shlomo Berkovsky, Min Zhang, Tommaso Di Noia, Justin Basilico, Luiz Pizzato, and Yang Song (Eds.). ACM, 1126--1132. https://doi.org/10.1145/3604915.3610646

Andreas Hanselowski, Christian Stab, Claudia Schulz, Zile Li, and Iryna Gurevych. 2019. A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking. In Proceedings of the 23rd Conference on Computational Natural Language Learning, CoNLL 2019, Hong Kong, China, November 3--4, 2019, Mohit Bansal and Aline Villavicencio (Eds.). Association for Computational Linguistics, 493--503. https://doi.org/10.18653/V1/K19--1046

Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian J. McAuley, and Wayne Xin Zhao. 2024. Large Language Models are Zero-Shot Rankers for Recommender Systems. In Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24--28, 2024, Proceedings, Part II (Lecture Notes in Computer Science, Vol. 14609), Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, and Iadh Ounis (Eds.). Springer, 364--381. https://doi.org/10.1007/978--3-031--56060--6_24

Georgi Karadzhov, Preslav Nakov, Llu'i s Mà rquez, Alberto Barró n-Cede n o, and Ivan Koychev. 2017. Fully Automated Fact Checking Using External Sources. In Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017, Varna, Bulgaria, September 2 - 8, 2017, Ruslan Mitkov and Galia Angelova (Eds.). INCOMA Ltd., 344--353. https://doi.org/10.26615/978--954--452-049--6_046

Neema Kotonya and Francesca Toni. 2020. Explainable Automated Fact-Checking for Public Health Claims. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16--20, 2020, Bonnie Webber, Trevor Cohn, Yulan He, and Yang Liu (Eds.). Association for Computational Linguistics, 7740--7754. https://doi.org/10.18653/V1/2020.EMNLP-MAIN.623

Alexander K Lew, Tan Zhi-Xuan, Gabriel Grand, and Vikash K Mansinghka. 2023. Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs. arXiv preprint arXiv:2306.03081 (2023).

Jiazheng Li, Runcong Zhao, Yulan He, and Lin Gui. 2023. OverPrompt: Enhancing ChatGPT Capabilities through an Efficient In-Context Learning Approach. CoRR, Vol. abs/2305.14973 (2023). https://doi.org/10.48550/ARXIV.2305.14973 showeprint[arXiv]2305.14973

Junling Liu, Chao Liu, Renjie Lv, Kang Zhou, and Yan Zhang. 2023. Is chatgpt a good recommender? a preliminary study. arXiv preprint arXiv:2304.10149 (2023).

Hanjia Lyu, Song Jiang, Hanqing Zeng, Yinglong Xia, and Jiebo Luo. 2023. Llm-rec: Personalized recommendation via prompting large language models. arXiv preprint arXiv:2307.15780 (2023).

Arjun Mukherjee, Abhinav Kumar, Bing Liu, Junhui Wang, Meichun Hsu, Malú Castellanos, and Riddhiman Ghosh. 2013. Spotting opinion spammers using behavioral footprints. In The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, IL, USA, August 11--14, 2013, Inderjit S. Dhillon, Yehuda Koren, Rayid Ghani, Ted E. Senator, Paul Bradley, Rajesh Parekh, Jingrui He, Robert L. Grossman, and Ramasamy Uthurusamy (Eds.). ACM, 632--640. https://doi.org/10.1145/2487575.2487580

Rob Procter, Miguel Arana Catania, Yulan He, Maria Liakata, Arkaitz Zubiaga, Elena Kochkina, and Runcong Zhao. 2023. Some Observations on Fact-Checking Work with Implications for Computational Support. arXiv preprint arXiv:2305.02224 (2023).

Khubaib Ahmed Qureshi, Rauf Ahmed Shams Malick, Muhammad Sabih, and Hocine Cherifi. 2022. Deception detection on social media: A source-based perspective. Knowl. Based Syst., Vol. 256 (2022), 109649. https://doi.org/10.1016/J.KNOSYS.2022.109649

Andreas Rü cklé, Nafise Sadat Moosavi, and Iryna Gurevych. 2019. Neural Duplicate Question Detection without Labeled Training Data. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3--7, 2019, Kentaro Inui, Jing Jiang, Vincent Ng, and Xiaojun Wan (Eds.). Association for Computational Linguistics, 1607--1617. https://doi.org/10.18653/V1/D19--1171

Arkadiy Saakyan, Tuhin Chakrabarty, and Smaranda Muresan. 2021. COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL/IJCNLP 2021, (Volume 1: Long Papers), Virtual Event, August 1--6, 2021, Chengqing Zong, Fei Xia, Wenjie Li, and Roberto Navigli (Eds.). Association for Computational Linguistics, 2116--2129. https://doi.org/10.18653/V1/2021.ACL-LONG.165

Tal Schuster, Adam Fisch, and Regina Barzilay. 2021. Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021, Online, June 6--11, 2021, Kristina Toutanova, Anna Rumshisky, Luke Zettlemoyer, Dilek Hakkani-Tü r, Iz Beltagy, Steven Bethard, Ryan Cotterell, Tanmoy Chakraborty, and Yichao Zhou (Eds.). Association for Computational Linguistics, 624--643. https://doi.org/10.18653/V1/2021.NAACL-MAIN.52

Xiaoxiao Shang, Zhiyuan Peng, Qiming Yuan, Sabiq Khan, Lauren Xie, Yi Fang, and Subramaniam Vincent. 2022. DIANES: A DEI Audit Toolkit for News Sources. In SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022, Enrique Amigó, Pablo Castells, Julio Gonzalo, Ben Carterette, J. Shane Culpepper, and Gabriella Kazai (Eds.). ACM, 3312--3317. https://doi.org/10.1145/3477495.3531660

Peng Shi and Jimmy Lin. 2019. Simple bert models for relation extraction and semantic role labeling. arXiv preprint arXiv:1904.05255 (2019).

Kai Shu, Xinyi Zhou, Suhang Wang, Reza Zafarani, and Huan Liu. 2019. The role of user profiles for fake news detection. In ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, Vancouver, British Columbia, Canada, 27--30 August, 2019, Francesca Spezzano, Wei Chen, and Xiaokui Xiao (Eds.). ACM, 436--439. https://doi.org/10.1145/3341161.3342927

James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos, and Arpit Mittal. 2018. The Fact Extraction and VERification (FEVER) Shared Task. In Proceedings of the First Workshop on Fact Extraction and VERification (FEVER). Association for Computational Linguistics, Brussels, Belgium, 1--9. https://doi.org/10.18653/v1/W18--5501

Timoté Vaucher, Andreas Spitz, Michele Catasta, and Robert West. 2021. Quotebank: A Corpus of Quotations from a Decade of News. In WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8--12, 2021, Liane Lewin-Eytan, David Carmel, Elad Yom-Tov, Eugene Agichtein, and Evgeniy Gabrilovich (Eds.). ACM, 328--336. https://doi.org/10.1145/3437963.3441760

Juraj Vladika and Florian Matthes. 2023. Scientific Fact-Checking: A Survey of Resources and Approaches. In Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9--14, 2023, Anna Rogers, Jordan L. Boyd-Graber, and Naoaki Okazaki (Eds.). Association for Computational Linguistics, 6215--6230. https://doi.org/10.18653/V1/2023.FINDINGS-ACL.387

Vuk Vukovic, Akhil Arora, Huan-Cheng Chang, Andreas Spitz, and Robert West. 2022. Quote Erat Demonstrandum: A Web Interface for Exploring the Quotebank Corpus. In SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022, Enrique Amigó, Pablo Castells, Julio Gonzalo, Ben Carterette, J. Shane Culpepper, and Gabriella Kazai (Eds.). ACM, 3350--3354. https://doi.org/10.1145/3477495.3531696

David Wadden, Shanchuan Lin, Kyle Lo, Lucy Lu Wang, Madeleine van Zuylen, Arman Cohan, and Hannaneh Hajishirzi. 2020. Fact or Fiction: Verifying Scientific Claims. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16--20, 2020, Bonnie Webber, Trevor Cohn, Yulan He, and Yang Liu (Eds.). Association for Computational Linguistics, 7534--7550. https://doi.org/10.18653/V1/2020.EMNLP-MAIN.609

Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, and Tat-Seng Chua. 2023. Generative recommendation: Towards next-generation recommender paradigm. arXiv preprint arXiv:2304.03516 (2023).

Ikuya Yamada, Akari Asai, Jin Sakuma, Hiroyuki Shindo, Hideaki Takeda, Yoshiyasu Takefuji, and Yuji Matsumoto. 2020. Wikipedia2Vec: An Efficient Toolkit for Learning and Visualizing the Embeddings of Words and Entities from Wikipedia. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, EMNLP 2020 - Demos, Online, November 16--20, 2020, Qun Liu and David Schlangen (Eds.). Association for Computational Linguistics, 23--30. https://doi.org/10.18653/V1/2020.EMNLP-DEMOS.4

Yuanchi Zhang and Yang Liu. 2022. DirectQuote: A Dataset for Direct Quotation Extraction and Attribution in News Articles. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, LREC 2022, Marseille, France, 20--25 June 2022, Nicoletta Calzolari, Fré dé ric Bé chet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hé lè ne Mazo, Jan Odijk, and Stelios Piperidis (Eds.). European Language Resources Association, 6959--6966. https://aclanthology.org/2022.lrec-1.752