Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Zhang, Cedegao E."'
Autor:
Collins, Katherine M., Sucholutsky, Ilia, Bhatt, Umang, Chandra, Kartik, Wong, Lionel, Lee, Mina, Zhang, Cedegao E., Zhi-Xuan, Tan, Ho, Mark, Mansinghka, Vikash, Weller, Adrian, Tenenbaum, Joshua B., Griffiths, Thomas L.
What do we want from machine intelligence? We envision machines that are not just tools for thought, but partners in thought: reasonable, insightful, knowledgeable, reliable, and trustworthy systems that think with us. Current artificial intelligence
Externí odkaz:
http://arxiv.org/abs/2408.03943
We can evaluate features of problems and their potential solutions well before we can effectively solve them. When considering a game we have never played, for instance, we might infer whether it is likely to be challenging, fair, or fun simply from
Externí odkaz:
http://arxiv.org/abs/2407.14095
The reasoning abilities of large language models (LLMs) are the topic of a growing body of research in AI and cognitive science. In this paper, we probe the extent to which twenty-nine LLMs are able to distinguish logically correct inferences from lo
Externí odkaz:
http://arxiv.org/abs/2401.17169
Autor:
Olausson, Theo X., Gu, Alex, Lipkin, Benjamin, Zhang, Cedegao E., Solar-Lezama, Armando, Tenenbaum, Joshua B., Levy, Roger
Publikováno v:
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 5153-5176, Singapore. Association for Computational Linguistics
Logical reasoning, i.e., deductively inferring the truth value of a conclusion from a set of premises, is an important task for artificial intelligence with wide potential impacts on science, mathematics, and society. While many prompting-based strat
Externí odkaz:
http://arxiv.org/abs/2310.15164
Mathematics is one of the most powerful conceptual systems developed and used by the human species. Dreams of automated mathematicians have a storied history in artificial intelligence (AI). Rapid progress in AI, particularly propelled by advances in
Externí odkaz:
http://arxiv.org/abs/2310.13021
Autor:
Ying, Lance, Collins, Katherine M., Wei, Megan, Zhang, Cedegao E., Zhi-Xuan, Tan, Weller, Adrian, Tenenbaum, Joshua B., Wong, Lionel
Human beings are social creatures. We routinely reason about other agents, and a crucial component of this social reasoning is inferring people's goals as we learn about their actions. In many settings, we can perform intuitive but reliable goal infe
Externí odkaz:
http://arxiv.org/abs/2306.14325
Autor:
Collins KM; Department of Engineering, University of Cambridge, Cambridge, UK. kmc61@cam.ac.uk., Sucholutsky I; Department of Computer Science, Princeton University, Princeton, NJ, USA., Bhatt U; Center for Data Science, NYU, New York, NY, USA.; Alan Turing Institute, London, UK., Chandra K; Department of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA., Wong L; Department of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA., Lee M; Microsoft Research, New York, NY, USA.; Department of Computer Science, University of Chicago, Chicago, IL, USA., Zhang CE; Department of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA., Zhi-Xuan T; Department of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA., Ho M; Center for Data Science, NYU, New York, NY, USA., Mansinghka V; Department of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA., Weller A; Department of Engineering, University of Cambridge, Cambridge, UK.; Alan Turing Institute, London, UK., Tenenbaum JB; Department of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA., Griffiths TL; Department of Computer Science, Princeton University, Princeton, NJ, USA.; Department of Psychology, Princeton University, Princeton, NJ, USA.
Publikováno v:
Nature human behaviour [Nat Hum Behav] 2024 Oct; Vol. 8 (10), pp. 1851-1863. Date of Electronic Publication: 2024 Oct 22.
