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The past two years have witnessed the evolution of large language model (LLM)-based multi-agent systems from labor-intensive manual design to partial automation (\textit{e.g.}, prompt engineering, communication topology) and eventually to fully automated design.
The application of evolution process in multi-agent world to the prediction system
Cetnarowicz, K., Kisiel-Dorohinicki, M., and Nawarecki, E · 1996
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Indicator-based selection in multiobjective search
Zitzler, E. and Künzli, S · 2004
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Efficient estimation of word representations in vector space
Mikolov, T., Chen, K., Corrado, G., and Dean, J · 2013
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Glove: Global vectors for word representation
Pennington, J., Socher, R., and Manning, C. D · 2014
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A multi-agent genetic algorithm for community detection in complex networks
Li, Z. and Liu, J · 2016
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Solving general arithmetic word problems
Roy, S. and Roth, D · 2016
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Bert: Pre-training of deep bidirectional transformers for language understanding
Devlin, J · 2018
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On the measure of intelligence
Chollet, F · 2019
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Clune, J · 2019
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Sentence-bert: Sentence embeddings using siamese bert-networks
Reimers, N · 2019
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Mapper: Multi-agent path planning with evolutionary reinforcement learning in mixed dynamic environments
Liu, Z., Chen, B., Zhou, H., Koushik, G., Hebert, M., and Zhao, D · 2020
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Minilm: Deep self-attention distillation for task-agnostic compression of pre-trained transformers
Wang, W., Wei, F., Dong, L., Bao, H., Yang, N., and Zhou, M · 2020
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Program synthesis with large language models
Austin, J., Odena, A., Nye, M., Bosma, M., Michalewski, H., Dohan, D., Jiang, E., Cai, C., Terry, M., Le, Q., et al · 2021
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Evaluating large language models trained on code, July 01, 2021 2021
Chen, M., Tworek, J., Jun, H., Yuan, Q., Ponde de Oliveira Pinto, H., Kaplan, J., Edwards, H., Burda, Y., Joseph, N., Brockman, G., Ray, A., Puri, R., Krueger, G., Petrov, M., Khlaaf, H., Sastry, G., Mishkin, P., Chan, B., Gray, S., Ryder, N., Pavlov, M., Power, A., Kaiser, L., Bavarian, M., Winter, C., Tillet, P., Petroski Such, F., Cummings, D., Plappert, M., Chantzis, F., Barnes, E., Herbert-Voss, A., Hebgen Guss, W., Nichol, A., Paino, A., Tezak, N., Tang, J., Babuschkin, I., Balaji, S., Jain, S., Saunders, W., Hesse, C., Carr, A. N., Leike, J., Achiam, J., Misra, V., Morikawa, E., Radford, A., Knight, M., Brundage, M., Murati, M., Mayer, K., Welinder, P., McGrew, B., Amodei, D., McCandlish, S., Sutskever, I., and Zaremba, W · 2021
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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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{ALFW}orld: Aligning text and embodied environments for interactive learning
Shridhar, M., Yuan, X., Cote, M.-A., Bisk, Y., Trischler, A., and Hausknecht, M · 2021
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Complexity-based prompting for multi-step reasoning
Fu, Y., Peng, H., Sabharwal, A., Clark, P., and Khot, T · 2022
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Automation, ai & work
Tyson, L. D. and Zysman, J · 2022
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Chain-of-thought prompting elicits reasoning in large language models, January 01, 2022 2022
Wei, J., Wang, X., Schuurmans, D., Bosma, M., Ichter, B., Xia, F., Chi, E., Le, Q., and Zhou, D · 2022
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Gps: Genetic prompt search for efficient few-shot learning
Xu, H., Chen, Y., Du, Y., Shao, N., Wang, Y., Li, H., and Yang, Z · 2022
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Automatic chain of thought prompting in large language models
Zhang, Z., Zhang, A., Li, M., and Smola, A · 2022
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.
Promptbreeder: Self-referential self-improvement via prompt evolution
Fernando, C., Banarse, D., Michalewski, H., Osindero, S., and Rocktäschel, T · 2023
Cited alongside, same era.
Connecting large language models with evolutionary algorithms yields powerful prompt optimizers
Guo, Q., Wang, R., Guo, J., Li, B., Song, K., Tan, X., Liu, G., Bian, J., and Yang, Y · 2023
Cited alongside, same era.
Neural architecture search: Insights from 1000 papers
White, C., Safari, M., Sukthanker, R., Ru, B., Elsken, T., Zela, A., Dey, D., and Hutter, F · 2023
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Autogen: Enabling next-gen llm applications via multi-agent conversation framework, August 01, 2023 2023
Wu, Q., Bansal, G., Zhang, J., Wu, Y., Zhang, S., Zhu, E., Li, B., Jiang, L., Zhang, X., and Wang, C · 2023
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Expertprompting: Instructing large language models to be distinguished experts
Xu, B., Yang, A., Lin, J., Wang, Q., Zhou, C., Zhang, Y., and Mao, Z · 2023
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Tree of thoughts: Deliberate problem solving with large language models, May 01, 2023 2023a
Yao, S., Yu, D., Zhao, J., Shafran, I., Griffiths, T. L., Cao, Y., and Narasimhan, K · 2023
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Exploring collaboration mechanisms for llm agents: A social psychology view
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He, Z., Cao, P., Chen, Y., Liu, K., Li, R., Sun, M., and Zhao, J · 2023
Cited alongside, same era.
Metagpt: Meta programming for multi-agent collaborative framework, August 01, 2023 2023
Hong, S., Zheng, X., Chen, J., Cheng, Y., Wang, J., Zhang, C., Wang, Z., Yau, S. K. S., Lin, Z., Zhou, L., Ran, C., Xiao, L., and Wu, C · 2023
Cited alongside, same era.
LLM-blender: Ensembling large language models with pairwise ranking and generative fusion
Jiang, D., Ren, X., and Lin, B. Y · 2023
Cited alongside, same era.
Surrealdriver: Designing generative driver agent simulation framework in urban contexts based on large language model, 2023
Jin, Y., Shen, X., Peng, H., Liu, X., Qin, J., Li, J., Xie, J., Gao, P., Zhou, G., and Gong, J · 2023
Cited alongside, same era.
Dspy: Compiling declarative language model calls into self-improving pipelines
Khattab, O., Singhvi, A., Maheshwari, P., Zhang, Z., Santhanam, K., Vardhamanan, S., Haq, S., Sharma, A., Joshi, T. T., Moazam, H., et al · 2023
Cited alongside, same era.
CAMEL: communicative agents for ”mind” exploration of large language model society
Li, G., Hammoud, H., Itani, H., Khizbullin, D., and Ghanem, B · 2023
Cited alongside, same era.
Encouraging divergent thinking in large language models through multi-agent debate
Liang, T., He, Z., Jiao, W., Wang, X., Wang, Y., Wang, R., Yang, Y., Tu, Z., and Shi, S · 2023
Cited alongside, same era.
Dynamic llm-agent network: An llm-agent collaboration framework with agent team optimization
Liu, Z., Zhang, Y., Li, P., Liu, Y., and Yang, D · 2023
Cited alongside, same era.
Zhang, J., Xu, X., and Deng, S · 2023
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Progressive-hint prompting improves reasoning in large language models, April 01, 2023 2023a
Zheng, C., Liu, Z., Xie, E., Li, Z., and Li, Y · 2023
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Graphrouter: A graph-based router for llm selections
Feng, T., Shen, Y., and You, J · 2024
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Data interpreter: An llm agent for data science
Hong, S., Lin, Y., Liu, B., Liu, B., Wu, B., Zhang, C., Wei, C., Li, D., Chen, J., Zhang, J., et al · 2024
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Autokaggle: A multi-agent framework for autonomous data science competitions
Li, Z., Zang, Q., Ma, D., Guo, J., Zheng, T., Liu, M., Niu, X., Wang, Y., Yang, J., Liu, J., et al · 2024
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Scaling large-language-model-based multi-agent collaboration
Qian, C., Xie, Z., Wang, Y., Liu, W., Dang, Y., Du, Z., Chen, W., Yang, C., Liu, Z., and Sun, M · 2024
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Mathematical discoveries from program search with large language models
Romera-Paredes, B., Barekatain, M., Novikov, A., Balog, M., Kumar, M. P., Dupont, E., Ruiz, F. J., Ellenberg, J. S., Wang, P., Fawzi, O., et al · 2024
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Archon: An architecture search framework for inference-time techniques
Saad-Falcon, J., Lafuente, A. G., Natarajan, S., Maru, N., Todorov, H., Guha, E., Buchanan, E. K., Chen, M., Guha, N., Ré, C., et al · 2024
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Agentsquare: Automatic llm agent search in modular design space
Shang, Y., Li, Y., Zhao, K., Ma, L., Liu, J., Xu, F., and Li, Y · 2024
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Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face
Shen, Y., Song, K., Tan, X., Li, D., Lu, W., and Zhuang, Y · 2024
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Red teaming language model detectors with language models
Shi, Z., Wang, Y., Yin, F., Chen, X., Chang, K.-W., and Hsieh, C.-J · 2024
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A survey on large language model based autonomous agents
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., and Wen, J · 2024
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Evoagent: Towards automatic multi-agent generation via evolutionary algorithms
Yuan, S., Song, K., Chen, J., Tan, X., Li, D., and Yang, D · 2024
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Memorybank: Enhancing large language models with long-term memory
Zhong, W., Guo, L., Gao, Q., Ye, H., and Wang, Y · 2024
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Gptswarm: Language agents as optimizable graphs
Zhuge, M., Wang, W., Kirsch, L., Faccio, F., Khizbullin, D., and Schmidhuber, J · 2024
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Lee, K.-H., Fischer, I., Wu, Y.-H., Marwood, D., Baluja, S., Schuurmans, D., and Chen, X · 2025
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