Search Results for author: Kaikai Song

Found 3 papers, 1 papers with code

Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition

no code implementations28 May 2025 Hanting Chen, Yasheng Wang, Kai Han, Dong Li, Lin Li, Zhenni Bi, Jinpeng Li, Haoyu Wang, Fei Mi, Mingjian Zhu, Bin Wang, Kaikai Song, Yifei Fu, Xu He, Yu Luo, Chong Zhu, Quan He, Xueyu Wu, wei he, Hailin Hu, Yehui Tang, DaCheng Tao, Xinghao Chen, Yunhe Wang

This work presents Pangu Embedded, an efficient Large Language Model (LLM) reasoner developed on Ascend Neural Processing Units (NPUs), featuring flexible fast and slow thinking capabilities.

Large Language Model

Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding

1 code implementation NeurIPS 2020 Lin Lan, Pinghui Wang, Xuefeng Du, Kaikai Song, Jing Tao, Xiaohong Guan

We study the problem of node classification on graphs with few-shot novel labels, which has two distinctive properties: (1) There are novel labels to emerge in the graph; (2) The novel labels have only a few representative nodes for training a classifier.

General Classification Graph structure learning +3

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