Comparing GPT-4 and Open-Source Language Models in Misinformation Mitigation

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“Liar, Liar Pants on Fire”: A New Benchmark Dataset for Fake News Detection

Wang, W. Y. 2017 · 2017

Earlier work this paper cites.

Machine learning explanations to prevent overtrust in fake news detection

Mohseni, S.; Yang, F.; Pentyala, S.; Du, M.; Liu, Y.; Lupfer, N.; Hu, X.; Ji, S.; and Ragan, E. 2021 · 2021

Earlier work this paper cites.

New explainability method for BERT-based model in fake news detection

Szczepański, M.; Pawlicki, M.; Kozik, R.; and Choraś, M. 2021 · 2021

Earlier work this paper cites.

Overview of the CLEF-2022 CheckThat! Lab: Task 3 on Fake News Detection

Köhler, J.; Shahi, G. K.; Struß, J. M.; Wiegand, M.; Siegel, M.; 0001, T. M.; and Schütz, M. 2022 · 2022

Earlier work this paper cites.

iCompass at CheckThat! 2022: combining deep language models for fake news detection

Taboubi, B.; Nessir, M. A. B.; and Haddad, H. 2022 · 2022

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ur-iw-hnt at CheckThat!-2022: Cross-lingual Text Summarization for Fake News Detection

Tran, H.-N.; and Kruschwitz, U. 2022 · 2022

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Qwen Technical Report

Original

Bai, J.; Bai, S.; Chu, Y.; Cui, Z.; Dang, K.; Deng, X.; Fan, Y.; Ge, W.; Han, Y.; Huang, F.; Hui, B.; Ji, L.; Li, M.; Lin, J.; Lin, R.; Liu, D.; Liu, G.; Lu, C.; Lu, K.; Ma, J.; Men, R.; Ren, X.; Ren, X.; Tan, C.; Tan, S.; Tu, J.; Wang, P.; Wang, S.; Wang, W.; Wu, S.; Xu, B.; Xu, J.; Yang, A.; Yang, H.; Yang, J.; Yang, S.; Yao, Y.; Yu, B.; Yuan, H.; Yuan, Z.; Zhang, J.; Zhang, X.; Zhang, Y.; Zhang, Z.; Zhou, C.; Zhou, J.; Zhou, X.; and Zhu, T. 2023 · 2023

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Open LLM Leaderboard

Beeching, E.; Fourrier, C.; Habib, N.; Han, S.; Lambert, N.; Rajani, N.; Sanseviero, O.; Tunstall, L.; and Wolf, T. 2023 · 2023

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Then

Mistral 7B

Original

Jiang, A. Q.; Sablayrolles, A.; Mensch, A.; Bamford, C.; Chaplot, D. S.; de las Casas, D.; Bressand, F.; Lengyel, G.; Lample, G.; Saulnier, L.; Lavaud, L. R.; Lachaux, M.-A.; Stock, P.; Scao, T. L.; Lavril, T.; Wang, T.; Lacroix, T.; and Sayed, W. E. 2023 · 2023

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Towards Reliable Misinformation Mitigation: Generalization, Uncertainty, and GPT-4

Original

Pelrine, K.; Imouza, A.; Thibault, C.; Reksoprodjo, M.; Gupta, C.; Christoph, J.; Godbout, J.-F.; and Rabbany, R. 2023 · 2023

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The Perils & Promises of Fact-checking with Large Language Models

Original

Quelle, D.; and Bovet, A. 2023 · 2023

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Llama 2: Open Foundation and Fine-Tuned Chat Models

Original

Touvron, H.; Martin, L.; Stone, K.; Albert, P.; Almahairi, A.; Babaei, Y.; Bashlykov, N.; Batra, S.; Bhargava, P.; Bhosale, S.; Bikel, D.; Blecher, L.; Ferrer, C. C.; Chen, M.; Cucurull, G.; Esiobu, D.; Fernandes, J.; Fu, J.; Fu, W.; Fuller, B.; Gao, C.; Goswami, V.; Goyal, N.; Hartshorn, A.; Hosseini, S.; Hou, R.; Inan, H.; Kardas, M.; Kerkez, V.; Khabsa, M.; Kloumann, I.; Korenev, A.; Koura, P. S.; Lachaux, M.-A.; Lavril, T.; Lee, J.; Liskovich, D.; Lu, Y.; Mao, Y.; Martinet, X.; Mihaylov, T.; Mishra, P.; Molybog, I.; Nie, Y.; Poulton, A.; Reizenstein, J.; Rungta, R.; Saladi, K.; Schelten, A.; Silva, R.; Smith, E. M.; Subramanian, R.; Tan, X. E.; Tang, B.; Taylor, R.; Williams, A.; Kuan, J. X.; Xu, P.; Yan, Z.; Zarov, I.; Zhang, Y.; Fan, A.; Kambadur, M.; Narang, S.; Rodriguez, A.; Stojnic, R.; Edunov, S.; and Scialom, T. 2023 · 2023

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