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Large language model behavior is shaped by the language of those with whom they interact.
Social capital in the creation of human capital
Coleman, J. S · 1988
Earlier work this paper cites.
Cognitive wheels: The frame problem of ai
Dennett, D. C · 1990
Earlier work this paper cites.
Collective dynamics of ‘small-world’networks
Watts, D. J. and Strogatz, S. H · 1998
Earlier work this paper cites.
Cooperation and punishment in public goods experiments
Fehr, E. and Gächter, S · 2000
Earlier work this paper cites.
Birds of a feather: Homophily in social networks
McPherson, M., Smith-Lovin, L., and Cook, J. M · 2001
Earlier work this paper cites.
Pidgins and creoles
Todd, L · 2003
Earlier work this paper cites.
Groups of diverse problem solvers can outperform groups of high-ability problem solvers
Hong, L. and Page, S. E · 2004
Earlier work this paper cites.
Collaboration and creativity: The small world problem
Uzzi, B. and Spiro, J · 2005
Earlier work this paper cites.
A meta-analytic test of intergroup contact theory
Pettigrew, T. F. and Tropp, L. R · 2006
Earlier work this paper cites.
Complex contagions and the weakness of long ties
Centola, D. and Macy, M · 2007
Earlier work this paper cites.
The conflict-positive organization: It depends upon us
Tjosvold, D · 2008
Earlier work this paper cites.
The diversity-bandwidth trade-off
Aral, S. and Van Alstyne, M · 2011
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Describing a group in positive terms reduces prejudice less effectively than describing it in positive and negative terms
Brauer, M., Er-rafiy, A., Kawakami, K., and Phills, C. E · 2012
Earlier work this paper cites.
Superintelligence: Paths, dangers, strategies
Boström, N · 2014
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Social norms and social influence
McDonald, R. I. and Crandall, C. S · 2015
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Increase diversity to boost creativity and enhance problem solving
Friedman, H. H., Friedman, L. W., and Leverton, C · 2016
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The medium is the message
McLuhan, M · 2017
Earlier work this paper cites.
Exposure to opposing views on social media can increase political polarization
Bail, C. A., Argyle, L. P., Brown, T. W., Bumpus, J. P., Chen, H., Hunzaker, M. F., Lee, J., Mann, M., Merhout, F., and Volfovsky, A · 2018
Earlier work this paper cites.
Complex contagions: A decade in review
Guilbeault, D., Becker, J., and Centola, D · 2018
Earlier work this paper cites.
The strength of long-range ties in population-scale social networks
Park, P. S., Blumenstock, J. E., and Macy, M. W · 2018
Earlier work this paper cites.
The wisdom of polarized crowds
Shi, F., Teplitskiy, M., Duede, E., and Evans, J. A · 2019
Earlier work this paper cites.
Prompt programming for large language models: Beyond the few-shot paradigm
Reynolds, L. and McDonell, K · 2021
Earlier work this paper cites.
Trust in social relations
Schilke, O., Reimann, M., and Cook, K. S · 2021
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Why can gpt learn in-context? language models secretly perform gradient descent as meta optimizers
Dai, D., Sun, Y., Dong, L., Hao, Y., Sui, Z., and Wei, F · 2022
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New directions in science emerge from disconnection and discord
Lin, Y., Evans, J. A., and Wu, L · 2022
Cited alongside, same era.
Chain-of-thought prompting elicits reasoning in large language models
Wei, J., Wang, X., Schuurmans, D., Bosma, M., Xia, F., Chi, E., Le, Q. V., Zhou, D., et al · 2022
Cited alongside, same era.
Llm-deliberation: Evaluating llms with interactive multi-agent negotiation games
Abdelnabi, S., Gomaa, A., Sivaprasad, S., Schönherr, L., and Fritz, M · 2023
Cited alongside, same era.
Communicative agents for software development
Qian, C., Cong, X., Yang, C., Chen, W., Su, Y., Xu, J., Liu, Z., and Sun, M · 2023
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Generating factually consistent sport highlights narrations
Sarfati, N., Yerushalmy, I., Chertok, M., and Keller, Y · 2023
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Towards understanding sycophancy in language models
Sharma, M., Tong, M., Korbak, T., Duvenaud, D., Askell, A., Bowman, S. R., Cheng, N., Durmus, E., Hatfield-Dodds, Z., Johnston, S. R., et al · 2023
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Surprising combinations of research contents and contexts are related to impact and emerge with scientific outsiders from distant disciplines
Shi, F. and Evans, J · 2023
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Accelerating science with human-aware artificial intelligence
Sourati, J. and Evans, J. A · 2023
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Large language models show human-like content biases in transmission chain experiments
Acerbi, A. and Stubbersfield, J. M · 2023
Cited alongside, same era.
Out of one, many: Using language models to simulate human samples
Argyle, L. P., Busby, E. C., Fulda, N., Gubler, J. R., Rytting, C., and Wingate, D · 2023
Cited alongside, same era.
The moral psychology of Artificial Intelligence
Bonnefon, J.-F., Rahwan, I., and Shariff, A · 2023
Cited alongside, same era.
The persuasive power of large language models
Breum, S. M., Egdal, D. V., Mortensen, V. G., Møller, A. G., and Aiello, L. M · 2023
Cited alongside, same era.
Chateval: Towards better llm-based evaluators through multi-agent debate
Chan, C.-M., Chen, W., Su, Y., Yu, J., Xue, W., Zhang, S., Fu, J., and Liu, Z · 2023
Cited alongside, same era.
Emergence of scale-free networks in social interactions among large language models
De Marzo, G., Pietronero, L., and Garcia, D · 2023
Cited alongside, same era.
Improving factuality and reasoning in language models through multiagent debate
Du, Y., Li, S., Torralba, A., Tenenbaum, J. B., and Mordatch, I · 2023
Cited alongside, same era.
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Suzuki, R. and Arita, T · 2023
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Simulating social media using large language models to evaluate alternative news feed algorithms
Törnberg, P., Valeeva, D., Uitermark, J., and Bail, C · 2023
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Vezhnevets, A. S., Agapiou, J. P., Aharon, A., Ziv, R., Matyas, J., Duéñez-Guzmán, E. A., Cunningham, W. A., Osindero, S., Karmon, D., and Leibo, J. Z · 2023
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Transformers learn in-context by gradient descent
Von Oswald, J., Niklasson, E., Randazzo, E., Sacramento, J., Mordvintsev, A., Zhmoginov, A., and Vladymyrov, M · 2023
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”kelly is a warm person, joseph is a role model”: Gender biases in llm-generated reference letters, 2023
Wan, Y., Pu, G., Sun, J., Garimella, A., Chang, K.-W., and Peng, N · 2023
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Tree of thoughts: Deliberate problem solving with large language models
Yao, S., Yu, D., Zhao, J., Shafran, I., Griffiths, T. L., Cao, Y., and Narasimhan, K · 2023
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How far are large language models from agents with theory-of-mind?
Zhou, P., Madaan, A., Potharaju, S. P., Gupta, A., McKee, K. R., Holtzman, A., Pujara, J., Ren, X., Mishra, S., Nematzadeh, A., et al · 2023
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Self-playing adversarial language game enhances llm reasoning, 2024
Cheng, P., Hu, T., Xu, H., Zhang, Z., Dai, Y., Han, L., and Du, N · 2024
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Large language model based multi-agents: A survey of progress and challenges, 2024
Guo, T., Chen, X., Wang, Y., Chang, R., Pei, S., Chawla, N. V., Wiest, O., and Zhang, X · 2024
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Investigating bias in llm-based bias detection: Disparities between llms and human perception, 2024
Lin, L., Wang, L., Guo, J., and Wong, K.-F · 2024
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Liu, N., Chen, L., Tian, X., Zou, W., Chen, K., and Cui, M · 2024
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Leave no context behind: Efficient infinite context transformers with infini-attention
Munkhdalai, T., Faruqui, M., and Gopal, S · 2024
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A collective ai via lifelong learning and sharing at the edge
Soltoggio, A., Ben-Iwhiwhu, E., Braverman, V., Eaton, E., Epstein, B., Ge, Y., Halperin, L., How, J., Itti, L., Jacobs, M. A., et al · 2024
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Adapting llm agents with universal feedback in communication, 2024
Wang, K., Lu, Y., Santacroce, M., Gong, Y., Zhang, C., and Shen, Y · 2024
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Hallucination is inevitable: An innate limitation of large language models, 2024
Xu, Z., Jain, S., and Kankanhalli, M · 2024
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Revolutionizing finance with llms: An overview of applications and insights
Zhao, H., Liu, Z., Wu, Z., Li, Y., Yang, T., Shu, P., Xu, S., Dai, H., Zhao, L., Mai, G., et al · 2024
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