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pro vyhledávání: '"Chatain, Peter"'
Chain-of-Thought (CoT) reasoning holds great promise for explaining the outputs of language models, but recent studies have highlighted significant challenges in its practical application for interpretability. We propose to address this issue via two
Externí odkaz:
http://arxiv.org/abs/2404.18988
Autor:
Mukobi, Gabriel, Chatain, Peter, Fong, Su, Windesheim, Robert, Kutyniok, Gitta, Bhatia, Kush, Alberti, Silas
While large language models demonstrate remarkable capabilities, they often present challenges in terms of safety, alignment with human values, and stability during training. Here, we focus on two prevalent methods used to align these models, Supervi
Externí odkaz:
http://arxiv.org/abs/2310.16763
Autor:
Sun, Michael, Chatain, Peter
In recent years, neural networks (NNs) have made giant leaps in a wide variety of domains. NNs are often referred to as black box algorithms due to how little we can explain their empirical success. Our foundational research seeks to explain why neur
Externí odkaz:
http://arxiv.org/abs/2302.06923
Publikováno v:
EPJ Web of Conferences. 8/23/2021, Vol. 251, p1-9. 9p.
