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With more advanced natural language understanding and reasoning capabilities, large language model (LLM)-powered agents are increasingly developed in simulated environments to perform complex tasks, interact with other agents, and exhibit emergent behaviors relevant to social science and gaming.
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Narayan, S., Cohen, S. B., and Lapata, M · 2018
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Guadarrama, S., Korattikara, A., Ramirez, O., Castro, P., Holly, E., Fishman, S., Wang, K., Gonina, E., Wu, N., Kokiopoulou, E., Sbaiz, L., Smith, J., Bartók, G., Berent, J., Harris, C., Vanhoucke, V., and Brevdo, E · 2019
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Training verifiers to solve math word problems
Cobbe, K., Kosaraju, V., Bavarian, M., Chen, M., Jun, H., Kaiser, L., Plappert, M., Tworek, J., Hilton, J., Nakano, R., Hesse, C., and Schulman, J · 2021
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Yu, G.-I., Jeong, J. S., Kim, G.-W., Kim, S., and Chun, B.-G · 2022
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a16z infra · 2023
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Agrawal, A., Panwar, A., Mohan, J., Kwatra, N., Gulavani, B. S., and Ramjee, R · 2023
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Mindagent: Emergent gaming interaction
Gong, R., Huang, Q., Ma, X., Vo, H., Durante, Z., Noda, Y., Zheng, Z., Zhu, S.-C., Terzopoulos, D., Fei-Fei, L., and Gao, J · 2023
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Efficient memory management for large language model serving with pagedattention
Kwon, W., Li, Z., Zhuang, S., Sheng, Y., Zheng, L., Yu, C. H., Gonzalez, J., Zhang, H., and Stoica, I · 2023
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Li, G., Hammoud, H. A. A. K., Itani, H., Khizbullin, D., and Ghanem, B · 2023
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Liu, R., Yang, R., Jia, C., Zhang, G., Yang, D., and Vosoughi, S · 2023
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Mistral AI · 2023
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An extensible, data-oriented architecture for high-performance, many-world simulation
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Chiang, W.-L., Zheng, L., Sheng, Y., Angelopoulos, A. N., Li, T., Li, D., Zhang, H., Zhu, B., Jordan, M., Gonzalez, J. E., and Stoica, I · 2024
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Can large language models transform computational social science? arxiv
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