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Rapid advancements in large language models (LLMs) have revitalized in LLM-based agents, exhibiting impressive human-like behaviors and cooperative capabilities in various scenarios.
Language models are few-shot learners
Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al · 2020
Earlier work this paper cites.
Exploring the limits of transfer learning with a unified text-to-text transformer
Raffel, C., Shazeer, N., Roberts, A., Lee, K., Narang, S., Matena, M., Zhou, Y., Li, W., and Liu, P. J · 2020
Earlier work this paper cites.
Palm: Scaling language modeling with pathways
Chowdhery, A., Narang, S., Devlin, J., Bosma, M., Mishra, G., Roberts, A., Barham, P., Chung, H. W., Sutton, C., Gehrmann, S., et al · 2022
Earlier work this paper cites.
Coarse-to-fine: Hierarchical multi-task learning for natural language understanding
Fei, Z., Tian, Y., Wu, Y., Zhang, X., Zhu, Y., Liu, Z., Wu, J., Kong, D., Lai, R., Cao, Z., et al · 2022
Earlier work this paper cites.
Ignore previous prompt: Attack techniques for language models
Perez, F. and Ribeiro, I · 2022
Earlier work this paper cites.
(ab) using images and sounds for indirect instruction injection in multi-modal llms
Bagdasaryan, E., Hsieh, T.-Y., Nassi, B., and Shmatikov, V · 2023
Earlier work this paper cites.
Large language models as tool makers
Cai, T., Wang, X., Ma, T., Chen, X., and Zhou, D · 2023
Earlier work this paper cites.
Multilingual jailbreak challenges in large language models
Deng, Y., Zhang, W., Pan, S. J., and Bing, L · 2023
Earlier work this paper cites.
How robust is google’s bard to adversarial image attacks?
Dong, Y., Chen, H., Chen, J., Fang, Z., Yang, X., Zhang, Y., Tian, Y., Su, H., and Zhu, J · 2023
Earlier work this paper cites.
Improving factuality and reasoning in language models through multiagent debate
Du, Y., Li, S., Torralba, A., Tenenbaum, J. B., and Mordatch, I · 2023
Earlier work this paper cites.
Greshake, K., Abdelnabi, S., Mishra, S., Endres, C., Holz, T., and Fritz, M · 2023
Cited alongside, same era.
Chatllm network: More brains, more intelligence
Hao, R., Hu, L., Qi, W., Wu, Q., Zhang, Y., and Nie, L · 2023
Cited alongside, same era.
Metagpt: Meta programming for multi-agent collaborative framework
Hong, S., Zheng, X., Chen, J., Cheng, Y., Zhang, C., Wang, Z., Yau, S. K. S., Lin, Z., Zhou, L., Ran, C., et al · 2023
Cited alongside, same era.
Catastrophic jailbreak of open-source llms via exploiting generation
Huang, Y., Gupta, S., Xia, M., Li, K., and Chen, D · 2023
Cited alongside, same era.
Shah, M. A., Sharma, R., Dhamyal, H., Olivier, R., Shah, A., Alharthi, D., Bukhari, H. T., Baali, M., Deshmukh, S., Kuhlmann, M., et al · 2023
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Cognitive architectures for language agents
Sumers, T., Yao, S., Narasimhan, K., and Griffiths, T. L · 2023
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From single-to multi-modal remote sensing imagery interpretation: a survey and taxonomy
Sun, X., Tian, Y., Lu, W., Wang, P., Niu, R., Yu, H., and Fu, K · 2023
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Autogen: Enabling next-gen llm applications via multi-agent conversation framework
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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The rise and potential of large language model based agents: A survey
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Jiang, S., Chen, X., and Tang, R · 2023
Cited alongside, same era.
Koessler, L. and Schuett, J · 2023
Cited alongside, same era.
Camel: Communicative agents for” mind” exploration of large scale language model society
Li, G., Hammoud, H. A. A. K., Itani, H., Khizbullin, D., and Ghanem, B · 2023
Cited alongside, same era.
Generative agents: Interactive simulacra of human behavior
Park, J. S., O’Brien, J. C., Cai, C. J., Morris, M. R., Liang, P., and Bernstein, M. S · 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
Cited alongside, same era.
Towards best practices in agi safety and governance: A survey of expert opinion
Schuett, J., Dreksler, N., Anderljung, M., McCaffary, D., Heim, L., Bluemke, E., and Garfinkel, B · 2023
Cited alongside, same era.
Decodingtrust: A comprehensive assessment of trustworthiness in gpt models
Wang, B., Chen, W., Pei, H., Xie, C., Kang, M., Zhang, C., Xu, C., Xiong, Z., Dutta, R., Schaeffer, R., et al
Cited in the paper.
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., et al
Cited in the paper.
Xi, Z., Chen, W., Guo, X., He, W., Ding, Y., Hong, B., Zhang, M., Wang, J., Jin, S., Zhou, E., et al · 2023
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Low-resource languages jailbreak gpt-4
Yong, Z.-X., Menghini, C., and Bach, S. H · 2023
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Gptfuzzer: Red teaming large language models with auto-generated jailbreak prompts
Yu, J., Lin, X., and Xing, X · 2023
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Mindstorms in natural language-based societies of mind
Zhuge, M., Liu, H., Faccio, F., Ashley, D. R., Csordás, R., Gopalakrishnan, A., Hamdi, A., Hammoud, H. A. A. K., Herrmann, V., Irie, K., et al · 2023
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Universal and transferable adversarial attacks on aligned language models
Zou, A., Wang, Z., Kolter, J. Z., and Fredrikson, M · 2023
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