Agents with foundation models: advance and vision

Chenghua GONG, Xiang LI

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Front. Comput. Sci. ›› 2025, Vol. 19 ›› Issue (4) : 194330. DOI: 10.1007/s11704-024-40311-2
Artificial Intelligence
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Agents with foundation models: advance and vision

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Chenghua GONG, Xiang LI. Agents with foundation models: advance and vision. Front. Comput. Sci., 2025, 19(4): 194330 https://doi.org/10.1007/s11704-024-40311-2

References

[1]
Bommasani R, Hudson D A, Adeli E, Altman R, Arora S, , . On the opportunities and risks of foundation models. 2021, arXiv preprint arXiv: 2108.07258
[2]
Xi Z, Chen W, Guo X, He W, Ding Y, , . The rise and potential of large language model based agents: a survey. 2023, arXiv preprint arXiv: 2309.07864
[3]
Wang L, Ma C, Feng X, Zhang Z, Yang H, Zhang J, Chen Z, Tang J, Chen X, Lin Y, Zhao W X, Wei Z, Wen J . A survey on large language model based autonomous agents. Frontiers of Computer Science, 2024, 18( 6): 186345
[4]
Gronauer S, Diepold K . Multi-agent deep reinforcement learning: a survey. Artificial Intelligence Review, 2022, 55( 2): 895–943
[5]
Qian C, Liu W, Liu H, Chen N, Dang Y, Li J, Yang C, Chen W, Su Y, Cong X, Xu J, Li D, Liu Z, Sun M. ChatDev: communicative agents for software development. 2023, arXiv preprint arXiv: 2307.07924
[6]
Park J S, O’Brien J, Cai C J, Morris M R, Liang P, Bernstein M S. Generative agents: interactive simulacra of human behavior. In: Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology. 2023, 2
[7]
Chan C M, Chen W, Su Y, Yu J, Xue W, Zhang S, Fu J, Liu Z. ChatEval: towards better LLM-based evaluators through multi-agent debate. In: Proceedings of the 12th International Conference on Learning Representations. 2024
[8]
Ke Z, Liu B. Continual learning of natural language processing tasks: a survey. 2022, arXiv preprint arXiv: 2211.12701
[9]
Wang G, Xie Y, Jiang Y, Mandlekar A, Xiao C, Zhu Y, Fan L, Anandkumar A. Voyager: an open-ended embodied agent with large language models. 2023, arXiv preprint arXiv: 2305.16291
[10]
Yang J C, Dailisan D, Korecki M, Hausladen C I, Helbing D. LLM voting: human choices and AI collective decision making. 2024, arXiv preprint arXiv: 2402.01766

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The authors declare that they have no competing interests or financial conflicts to disclose.

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