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Intelligent agent systems based on Large Language Models (LLMs) have shown great potential in real-world applications.
Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., Sutskever, I., et al
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Wei, J., Wang, X., Schuurmans, D., Bosma, M., Xia, F., Chi, E., Le, Q.V., Zhou, D., et al
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Schick, T., Dwivedi-Yu, J., Dessì, R., Raileanu, R., Lomeli, M., Hambro, E., Zettlemoyer, L., Cancedda, N., Scialom, T.: Toolformer: Language models can teach themselves to use tools. Advances in Neural Information Processing Systems 36
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2023
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Yao, S., Zhao, J., Yu, D., Du, N., Shafran, I., Narasimhan, K., Cao, Y.: React: Synergizing reasoning and acting in language models. In: International Conference on Learning Representations (ICLR) (2023)
2023
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Topsakal, O., Akinci, T.C.: Creating large language model applications utilizing langchain: A primer on developing llm apps fast. In: International Conference on Applied Engineering and Natural Sciences, vol. 1, pp. 1050–1056 (2023)
2023
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2023
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2024
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Wang, X., Chen, Y., Yuan, L., Zhang, Y., Li, Y., Peng, H., Ji, H.: Executable code actions elicit better llm agents. In: Forty-first International Conference on Machine Learning (2024)
2024
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Liu, X., Yu, H., Zhang, H., Xu, Y., Lei, X., Lai, H., Gu, Y., Ding, H., Men, K., Yang, K., et al
2024
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2024
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2023
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Shinn, N., Cassano, F., Gopinath, A., Narasimhan, K., Yao, S.: Reflexion: Language agents with verbal reinforcement learning. Advances in Neural Information Processing Systems 36
2023
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Wang, L., Ma, C., Feng, X., Zhang, Z., Yang, H., Zhang, J., Chen, Z., Tang, J., Chen, X., Lin, Y., et al
2024
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Lai, H., Liu, X., Iong, I.L., Yao, S., Chen, Y., Shen, P., Yu, H., Zhang, H., Zhang, X., Dong, Y., et al
2024
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2024
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2024
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Zhong, W., Guo, L., Gao, Q., Ye, H., Wang, Y.: Memorybank: Enhancing large language models with long-term memory. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38, pp. 19724–19731 (2024)
2024
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