abs/2308.01552, 2023.

[396] Gramopadhye, M., D. Szafir. Generating executable action plans with environmentally-aware

language models. CoRR, abs/2210.04964, 2022.

[397] Li, H., Y. Hao, Y. Zhai, et al. The hitchhiker’s guide to program analysis: A journey with large

language models. CoRR, abs/2308.00245, 2023.

[398] Feldt, R., S. Kang, J. Yoon, et al. Towards autonomous testing agents via conversational large

language models. CoRR, abs/2306.05152, 2023.

70

[399] Kang, Y., J. Kim. Chatmof: An autonomous AI system for predicting and generating metal-

organic frameworks. CoRR, abs/2308.01423, 2023.

[400] Wang, R., P. A. Jansen, M. Côté, et al. Scienceworld: Is your agent smarter than a 5th grader?
In Y. Goldberg, Z. Kozareva, Y. Zhang, eds., Proceedings of the 2022 Conference on Empirical
Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates,
December 7-11, 2022, pages 11279–11298. Association for Computational Linguistics, 2022.
TheRiseandPotentialofLargeLanguageModel BasedAgents