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Industrial robots are applied in a widening range of industries, but robot programming mostly remains a task limited to programming experts.
Chalkidis, I., Fergadiotis, M., Malakasiotis, P., Aletras, N., Androutsopoulos, I.: LEGAL-BERT: The Muppets straight out of Law School (Oct 2020)
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Zhang, T., Kishore, V., Wu, F., Weinberger, K.Q., Artzi, Y.: BERTScore: Evaluating Text Generation with BERT (Feb 2020)
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Li, X.L., Liang, P.: Prefix-Tuning: Optimizing Continuous Prompts for Generation. In: Proc. 59th Annu. Meet. Assoc. Comput. Linguist. 11th Int. Jt. Conf. Nat. Lang. Process. Vol. 1 Long Pap. pp. 4582–4597. Association for Computational Linguistics, Online (Aug 2021)
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Dettmers, T., Pagnoni, A., Holtzman, A., Zettlemoyer, L.: QLoRA: Efficient Finetuning of Quantized LLMs (May 2023)
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OpenAI: ChatGPT. https://chat.openai.com (Sep 2023)
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Taori, R., Gulrajani, I., Zhang, T., Dubois, Y., Li, X., Guestrin, C., Liang, P., Hashimoto, T.B.: Alpaca: A Strong, Replicable Instruction-Following Model (Mar 2023)
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Touvron, H., Lavril, T., Izacard, G., Martinet, X., Lachaux, M.A., Lacroix, T., Rozière, B., Goyal, N., Hambro, E., Azhar, F., Rodriguez, A., Joulin, A., Grave, E., Lample, G.: LLaMA: Open and Efficient Foundation Language Models (Feb 2023)
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Zhang, B., Soh, H.: Large Language Models as Zero-Shot Human Models for Human-Robot Interaction (Mar 2023)
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Zheng, O., Abdel-Aty, M., Wang, D., Wang, C., Ding, S.: TrafficSafetyGPT: Tuning a Pre-trained Large Language Model to a Domain-Specific Expert in Transportation Safety (Jul 2023)
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