no code implementations • 25 Jan 2024 • Maciej Besta, Florim Memedi, Zhenyu Zhang, Robert Gerstenberger, Guangyuan Piao, Nils Blach, Piotr Nyczyk, Marcin Copik, Grzegorz Kwaśniewski, Jürgen Müller, Lukas Gianinazzi, Ales Kubicek, Hubert Niewiadomski, Aidan O'Mahony, Onur Mutlu, Torsten Hoefler
Among these, prompt engineering coupled with structures has emerged as a promising paradigm, with designs such as Chain-of-Thought, Tree of Thoughts, or Graph of Thoughts, in which the overall LLM reasoning is guided by a structure such as a graph.
1 code implementation • 13 Sep 2022 • Weipeng Huang, Junjie Tao, Changbo Deng, Ming Fan, Wenqiang Wan, Qi Xiong, Guangyuan Piao
This paper revisits Deep Mutual Learning (DML), a simple yet effective computing paradigm.
no code implementations • 19 Aug 2019 • Weipeng Huang, Guangyuan Piao, Raul Moreno, Neil J. Hurley
Hierarchical clustering has been shown to be valuable in many scenarios.
no code implementations • 13 May 2019 • Weipeng Huang, Nishma Laitonjam, Guangyuan Piao, Neil Hurley
This paper focuses on the problem of hierarchical non-overlapping clustering of a dataset.