Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit | Paper Citation Record

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This paper cites arXiv preprint arXiv:230308774.

Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit arXiv preprint arXiv:230308774

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This paper cites In: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing ( EMNLP ).

Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit In: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing ( EMNLP )

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit most of california's water

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit here's what to know

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This paper cites https://praw.readthedocs.io/en/stable/, accessed: 2025-03-04.

Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit https://praw.readthedocs.io/en/stable/, accessed: 2025-03-04

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This paper cites In: Advances in Neural Information Processing Systems 33 ( NeurIPS 2020).

Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit In: Advances in Neural Information Processing Systems 33 ( NeurIPS 2020)

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit maybe if you drank bleach you may be okay

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This paper cites Proceedings of the National Academy of Sciences 118(9):e2023301118.

Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit Proceedings of the National Academy of Sciences 118(9):e2023301118

Reference 8

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This paper cites In: Proceedings of the 11th International Workshop on Semantic Evaluation ( SemEval -2017).

Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit In: Proceedings of the 11th International Workshop on Semantic Evaluation ( SemEval -2017)

Reference 9

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This paper cites BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding.

Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding

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This paper cites In: Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ( NAACL-HLT ).

Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit In: Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ( NAACL-HLT )

Reference 11

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This paper cites In: Proceedings of the 13th International Workshop on Semantic Evaluation ( SemEval -2019).

Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit In: Proceedings of the 13th International Workshop on Semantic Evaluation ( SemEval -2019)

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit & Vlachos, A

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit In: Findings of the Association for Computational Linguistics: NAACL 2021

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit In: Proceedings of the 27th International Conference on Computational Linguistics ( COLING )

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit and Lange, Lukas and Adel, Heike and Str

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit had ‘ms-13' on his knuckles tattooed. … he had ‘ms' as clear as you can be. not 'interpreted.'

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit ACM Computing Surveys 50(5):1--22

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit PeerJ Computer Science 7:e467

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This paper cites In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ( NAACL-HLT ).

Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ( NAACL-HLT )

Reference 20

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit In: Proceedings of the 11th International Workshop on Semantic Evaluation ( SemEval -2017)

Reference 21

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit doi: 10.18653/v1/2020.acl-main.703

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit RoBERTa: A Robustly Optimized BERT Pretraining Approach

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit ://www.politifact.com/factchecks/2025/jan/14/more-perfect-union/does-a-billionaire-couple-own-almost-all-the-water/

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit S em E val-2016 task 6: Detecting stance in tweets

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit ACM Transactions on Internet Technology 17(3):1--23

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit ://perfectunion.us/how-this-billionaire-couple-stole-californias-water-supply/

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit ://www.politifact.com/

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit own most of california's water

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 30

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume , month = apr, year =

Reference 31

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit ACM SIGKDD Explorations Newsletter 19(1):22--36

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit told americans all they had to do was inject bleach in themselves. just take a shot of uv light

Reference 33

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit arXiv preprint arXiv:231211805

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit FEVER: a large-scale dataset for Fact Extraction and VERification

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit arXiv preprint arXiv:230213971

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit Science , author =

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit EDA : Easy data augmentation techniques for boosting performance on text classification tasks

Reference 38

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit In: Proceedings of the 15th International AAAI Conference on Web and Social Media ( ICWSM ), vol 15

Reference 39

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit In: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)

Reference 40

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing ( EMNLP )

Reference 42

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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit PLoS ONE 11(3):e0150989

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