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pro vyhledávání: '"Mandelkern, Matthew"'
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:
Mandelkern, Matthew, Linzen, Tal
What do language models (LMs) do with language? Everyone agrees that they can produce sequences of (mostly) coherent strings of English. But do those sentences mean something, or are LMs simply babbling in a convincing simulacrum of language use? Her
Externí odkaz:
http://arxiv.org/abs/2308.05576
Autor:
Mandelkern, Matthew, author
Publikováno v:
Bounded Meaning : The Dynamics of Interpretation, 2024.
Externí odkaz:
https://doi.org/10.1093/oso/9780192870049.003.0004
Autor:
Mandelkern, Matthew, author
Publikováno v:
Bounded Meaning : The Dynamics of Interpretation, 2024.
Externí odkaz:
https://doi.org/10.1093/oso/9780192870049.003.0009
Autor:
Mandelkern, Matthew, author
Publikováno v:
Bounded Meaning : The Dynamics of Interpretation, 2024.
Externí odkaz:
https://doi.org/10.1093/oso/9780192870049.003.0003
Autor:
Mandelkern, Matthew, author
Publikováno v:
Bounded Meaning : The Dynamics of Interpretation, 2024.
Externí odkaz:
https://doi.org/10.1093/oso/9780192870049.003.0012
Autor:
Mandelkern, Matthew, author
Publikováno v:
Bounded Meaning : The Dynamics of Interpretation, 2024.
Externí odkaz:
https://doi.org/10.1093/oso/9780192870049.003.0011
Autor:
Mandelkern, Matthew, author
Publikováno v:
Bounded Meaning : The Dynamics of Interpretation, 2024.
Externí odkaz:
https://doi.org/10.1093/oso/9780192870049.003.0010