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Large Language Models (LLMs) are able to provide assistance on a wide range of information-seeking tasks.
Newsqa: A machine comprehension dataset, 2017
Trischler, A., Wang, T., Yuan, X., Harris, J., Sordoni, A., Bachman, P., and Suleman, K · 2017
Earlier work this paper cites.
All the news that’s fit to fabricate: Ai-generated text as a tool of media misinformation
Kreps, S., McCain, R. M., and Brundage, M · 2020
Earlier work this paper cites.
Effects of persuasive dialogues: testing bot identities and inquiry strategies
Shi, W., Wang, X., Oh, Y. J., Zhang, J., Sahay, S., and Yu, Z · 2020
Earlier work this paper cites.
A dataset of information-seeking questions and answers anchored in research papers
Dasigi, P., Lo, K., Beltagy, I., Cohan, A., Smith, N. A., and Gardner, M · 2021
Earlier work this paper cites.
QuALITY: Question answering with long input texts, yes!
Pang, R. Y., Parrish, A., Joshi, N., Nangia, N., Phang, J., Chen, A., Padmakumar, V., Ma, J., Thompson, J., He, H., and Bowman, S · 2022
Earlier work this paper cites.
Taxonomy of risks posed by language models
Weidinger, L., Uesato, J., Rauh, M., Griffin, C., Huang, P.-S., Mellor, J., Glaese, A., Cheng, M., Balle, B., Kasirzadeh, A., et al · 2022
Earlier work this paper cites.
Achiam, J., Adler, S., Agarwal, S., Ahmad, L., Akkaya, I., Aleman, F. L., Almeida, D., Altenschmidt, J., Altman, S., Anadkat, S., et al · 2023
Earlier work this paper cites.
Makemepay
Alexandru, A., Sherburn, D., Jaffe, O., Adler, S., Aung, J., Campbell, R., and Leung, J · 2023
Earlier work this paper cites.
Artificial intelligence can persuade humans on political issues, February 2023
Bai, H., Voelkel, J. G., Eichstaedt, j. C., and Willer, R · 2023
Earlier work this paper cites.
Artificial influence: An analysis of ai-driven persuasion
Burtell, M. and Woodside, T · 2023
Earlier work this paper cites.
Localizing lying in llama: Understanding instructed dishonesty on true-false questions through prompting, probing, and patching, 2023
Campbell, J., Ren, R., and Guo, P · 2023
Earlier work this paper cites.
Evaluating the persuasive influence of political microtargeting with large language models, August 2023
Hackenburg, K. and Margetts, H · 2023
Cited alongside, same era.
An overview of catastrophic ai risks
Hendrycks, D., Mazeika, M., and Woodside, T · 2023
Cited alongside, same era.
Working with ai to persuade: Examining a large language model’s ability to generate pro-vaccination messages
Karinshak, E., Liu, S. X., Park, J. S., and Hancock, J. T · 2023
Cited alongside, same era.
Unveiling safety vulnerabilities of large language models, 2023
Kour, G., Zalmanovici, M., Zwerdling, N., Goldbraich, E., Fandina, O. N., Anaby-Tavor, A., Raz, O., and Farchi, E · 2023
Cited alongside, same era.
Bioasq-qa: A manually curated corpus for biomedical question answering
Krithara, A., Nentidis, A., Bougiatiotis, K., and Paliouras, G · 2023
Cited alongside, same era.
Gemini: a family of highly capable multimodal models
Team, G., Anil, R., Borgeaud, S., Wu, Y., Alayrac, J.-B., Yu, J., Soricut, R., Schalkwyk, J., Dai, A. M., Hauth, A., et al · 2023
Later among the works it cites.
A survey on detection of llms-generated content, 2023
Yang, X., Pan, L., Zhao, X., Chen, H., Petzold, L., Wang, W. Y., and Cheng, W · 2023
Later among the works it cites.
Synthetic lies: Understanding ai-generated misinformation and evaluating algorithmic and human solutions
Zhou, J., Zhang, Y., Luo, Q., Parker, A. G., and De Choudhury, M · 2023
Later among the works it cites.
Introducing the next generation of claude, Mar 2024
Claude · 2024
Closest in time.
Durably reducing conspiracy beliefs through dialogues with ai, 2024
Costello, T. H., Pennycook, G., and Rand, D · 2024
Closest in time.
Measuring
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Camel: Communicative agents for ”mind” exploration of large language model society
Li, G., Hammoud, H. A. A. K., Itani, H., Khizbullin, D., and Ghanem, B · 2023
Cited alongside, same era.
Large language models can argue in convincing and novel ways about politics: Evidence from experiments and human judgement, 2023
Palmer, A. K. and Spirling, A · 2023
Cited alongside, same era.
Technical report: Large language models can strategically deceive their users when put under pressure, 2023
Scheurer, J., Balesni, M., and Hobbhahn, M · 2023
Cited alongside, same era.
Role-play with large language models, 2023
Shanahan, M., McDonell, K., and Reynolds, L · 2023
Cited alongside, same era.
Makemesay
Sherburn, D., Adler, S., Aung, J., Campbell, R., and Leung, J · 2023
Cited alongside, same era.
Model evaluation for extreme risks
Shevlane, T., Farquhar, S., Garfinkel, B., Phuong, M., Whittlestone, J., Leung, J., Kokotajlo, D., Marchal, N., Anderljung, M., Kolt, N., et al · 2023
Cited alongside, same era.
Durmus, E., Lovitt, L., Clark, J., Tamkin, A., Ritchie, S., and Ganguli, D · 2024
Closest in time.
Generative AI in the Era of ’Alternative Facts’
Gabriel, S., Lyu, L., Siderius, J., Ghassemi, M., Andreas, J., and Ozdaglar, A · 2024
Closest in time.
Supporting physical activity behavior change with llm-based conversational agents
Jörke, M., Sapkota, S., Warkenthien, L., Vainio, N., Schmiedmayer, P., Brunskill, E., and Landay, J · 2024
Closest in time.
Artificial intelligence and increasing misinformation
Monteith, S., Glenn, T., Geddes, J. R., Whybrow, P. C., Achtyes, E., and Bauer, M · 2024
Closest in time.
On the conversational persuasiveness of large language models: A randomized controlled trial
Salvi, F., Ribeiro, M. H., Gallotti, R., and West, R · 2024
Closest in time.
The persuasive effects of political microtargeting in the age of generative artificial intelligence
Simchon, A., Edwards, M., and Lewandowsky, S · 2024
Closest in time.