It Takes Two to Lie: One to Lie, and One to Listen
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Denis Peskov, Benny Cheng, Ahmed Elgohary, Joe Barrow, Cristian Danescu-Niculescu-Mizil, Jordan Boyd-Graber. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. 2020.
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Some of these concerns could be addressed by training models on more carefully curated and annotated datasets, and by using techniques for overseeing or challenging untrustworthy communication.
“Some of these concerns could be addressed by training models on more carefully curated and annotated datasets (Aly et al., 2021; Peskov et al., 2020), and by using techniques for overseeing or challenging untrustworthy communication (Greenblatt et al., 2023; Irving et al., 2018).”
From Multi-Agent Risks from Advanced AI (2025) · cites this paper as Peskov et al., 2020
The supplied passage is bibliographic metadata, not the paper’s substantive text. Searches for curated or annotated datasets and model training returned only that metadata, so our copy does not establish the dataset-related point attributed to Peskov et al. The oversight or challenge techniques are cited to other works in the sentence. (LLM, conf=0.75)
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Cites
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · doi:10.18653/v1/n19-1423 · Cited by 48,293 · see citing works
Finding Deceptive Opinion Spam by Any Stretch of the Imagination
Ott, M., Choi, Y., Cardie, C., & Hancock, J. T. (2011) · arXiv · doi:10.48550/arxiv.1107.4557 · Cited by 1,008 · see citing works
False Information on Web and Social Media: A Survey
Kumar, S., & Shah, N. (2018) · arXiv · doi:10.48550/arxiv.1804.08559 · Cited by 289 · see citing works
An Army of Me: Sockpuppets in Online Discussion Communities
Kumar, S., Cheng, J., Leskovec, J., & Subrahmanian, V. S. (2017) · Proceedings of the 26th International Conference on World Wide Web · doi:10.1145/3038912.3052677 · Cited by 178 · see citing works
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Choi, M., Pei, J., Kumar, S., Shu, C., & Jurgens, D. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/2023.emnlp-main.699 · Cited by 38 · see citing works
Are Large Language Models Consistent over Value-laden Questions?
Moore, J., Deshpande, T., & Yang, D. (2024) · arXiv · doi:10.48550/arxiv.2407.02996 · Cited by 12 · see citing works
Multi-Agent Risks from Advanced AI
Hammond, L., Chan, A., Clifton, J., Hoelscher-Obermaier, J., Khan, A., McLean, E., Smith, C., Barfuss, W., Foerster, J., Gavenčiak, T., et al. (2025) · arXiv · doi:10.48550/arxiv.2502.14143 · Cited by 10 · see citing works
Truthful AI: Developing and governing AI that does not lie
Evans, O., Cotton-Barratt, O., Finnveden, L., Bales, A., Balwit, A., Wills, P., Righetti, L., & Saunders, W. (2021) · arXiv · doi:10.48550/arxiv.2110.06674 · Cited by 39 · see citing works
- Authors
- Peskov, D., Cheng, B., Elgohary, A., Barrow, J., Danescu-Niculescu-Mizil, C., & Boyd-Graber, J.
- Venue
- Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Published
- 2020
- Pages
- 3811-3854
- ISSN
- 0736-587X (ISSN-L)
- OpenAlex
- W3034545571
- Cited by
- 30
- References
- 4
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 4 · 2023: 6 · 2022: 6 · 2021: 5
- FWCI
- 9.02
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Proceedings of the conference - Association for Computational Linguistics. Meeting (publishedVersion, cc-by)
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Keywords
- lying, deception detection, speaker-listener interaction, natural language processing
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