Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa. Large language models are zero-shot reasoners. In NeurIPS, 2022. URL http://papers.nips.cc/paper_files/paper/2022/bitize/8bb0d291acd4acf06ef112099c16f326-Abstract-Conference.html.
Michael Laskin, Luyu Wang, Junhyuk Oh, Emilio Parisotto, Stephen Spencer, Richie Steigerwald, DJ Strouse, Steven Hansen, Angelos Filos, Ethan A. Brooks, Maxime Gazeau, Himanshu Sahni, Satinder Singh, and Volodymyr Mnih. In-context reinforcement learning with algorithm distillation. CoRR, abs/2210.14215, 2022. doi: 10.48550/arXiv.2210.14215. URL https://doi.org/10.48550/arXiv.2210.14215.
Jacky Liang, Wenlong Huang, Fei Xia, Peng Xu, Karol Hausman, Brian Ichter, Pete Florence, and Andy Zeng. Code as policies: Language model programs for embodied control. CoRR, abs/2209.07753, 2022. doi: 10.48550/arXiv.2209.07753. URL https://doi.org/10.48550/arXiv.2209.07753.
Xinnian Liang, Bing Wang, Hui Huang, Shuangzhi Wu, Peihao Wu, Lu Lu, Zejun Ma, and Zhoujun Li. Unleashing infinite-length input capacity for large-scale language models with self-controlled memory system. CoRR, abs/2304.13343, 2023. doi: 10.48550/arXiv.2304.13343. URL https://doi.org/10.48550/arXiv.2304.13343.
Aman Madaan, Niket Tandon, Peter Clark, and Yiming Yang. Memory-assisted prompt editing to improve gpt-3 after deployment. arXiv preprint arXiv:2201.06009, 2022.
Oier Mees, Jessica Borja-Diaz, and Wolfram Burgard. Grounding language with visual affordances over unstructured data. CoRR, abs/2210.01911, 2022. doi: 10.48550/arXiv.2210.01911. URL https://doi.org/10.48550/arXiv.2210.01911.
Volodymyr Mnih, Adrià Puigdomènech Badia, Mehdi Mirza, Alex Graves, Timothy P. Lillicrap, Tim Harley, David Silver, and Koray Kavukcuoglu. Asynchronous methods for deep reinforcement learning. In Maria-Florina Balcan and Kilian Q. Weinberger, editors, Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016, volume 48 of JMLR Workshop and Conference Proceedings, pages 1928-1937. JMLR.org, 2016. URL http://proceedings.mlr.press/v48/mniha16.html.
Ali Modarressi, Ayyoob Imani, Mohsen Fayyaz, and Hinrich Schütze. RET-LLM: towards a general read-write memory for large language models. CoRR, abs/2305.14322, 2023. doi: 10.48550/arXiv.2305.14322. URL https://doi.org/10.48550/arXiv.2305.14322.
Xiaoman Pan, Wenlin Yao, Hongming Zhang, Dian Yu, Dong Yu, and Jianshu Chen. Knowledge-in-context: Towards knowledgeable semi-parametric language models. CoRR, abs/2210.16433, 2022. doi: 10.48550/arXiv.2210.16433. URL https://doi.org/10.48550/arXiv.2210.16433.
Baolin Peng, Michel Galley, Pengcheng He, Hao Cheng, Yujia Xie, Yu Hu, Qiuyuan Huang, Lars Liden, Zhou Yu, Weizhu Chen, and Jianfeng Gao. Check your facts and try again: Improving large language models with external knowledge and automated feedback. CoRR, abs/2302.12813, 2023. doi: 10.48550/arXiv.2302.12813. URL https://doi.org/10.48550/arXiv.2302.12813.
Shreyas Sundara Raman, Vanya Cohen, Eric Rosen, Ifrah Idrees, David Paulius, and Stefanie Tellex. Planning with large language models via corrective re-prompting. CoRR, abs/2211.09935, 2022. doi: 10.48550/arXiv.2211.09935. URL https://doi.org/10.48550/arXiv.2211.09935.
Nils Reimers and Iryna Gurevych. Sentence-bert: Sentence embeddings using siamese bert-networks. In Kentaro Inui, Jing Jiang, Vincent Ng, and Xiaojun Wan, editors, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019, pages 3980-3990. Association for Computational Linguistics, 2019. doi: 10.18653/v1/D19-1410. URL https://doi.org/10.18653/v1/D19-1410.
Timo Schick, Jane Dwivedi-Yu, Roberto Dessi, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom. Toolformer: Language models can teach themselves to use tools. CoRR, abs/2302.04761, 2023. doi: 10.48550/arXiv.2302.04761. URL https://doi.org/10.48550/arXiv.2302.04761.