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Large language models (LLMs) such as ChatGPT and GPT-4 have shown impressive performance in complex reasoning tasks.
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Language contamination helps explains the cross-lingual capabilities of English pretrained models
Terra Blevins and Luke Zettlemoyer. 2022 · 2022
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Towards reasoning in large language models: A survey
Jie Huang and Kevin Chen-Chuan Chang. 2022 · 2022
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Language models (mostly) know what they know
Saurav Kadavath, Tom Conerly, Amanda Askell, Tom Henighan, Dawn Drain, Ethan Perez, Nicholas Schiefer, Zac Hatfield Dodds, Nova DasSarma, Eli Tran-Johnson, et al. 2022 · 2022
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Takeshi Kojima, Shixiang (Shane) Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa. 2022 · 2022
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Jiacheng Liu, Skyler Hallinan, Ximing Lu, Pengfei He, Sean Welleck, Hannaneh Hajishirzi, and Yejin Choi. 2022 · 2022
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Reasoning with language model prompting: A survey
Shuofei Qiao, Yixin Ou, Ningyu Zhang, Xiang Chen, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, and Huajun Chen. 2022 · 2022
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Language models can solve computer tasks
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Chain of thought prompting elicits reasoning in large language models
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Sparks of artificial general intelligence: Early experiments with gpt-4
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Anthony G Cohn and Jose Hernandez-Orallo. 2023 · 2023
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