Challenges and Responses in the Practice of Large Language Models

Research topics variation analysis and prediction based on faro and neural networks

Hongyin Zhu, Yi Zeng, and Yiping Yang · 2016

Earlier work this paper cites.

China brain project: basic neuroscience, brain diseases, and brain-inspired computing

Mu-ming Poo, Jiu-lin Du, Nancy Y Ip, Zhi-Qi Xiong, Bo Xu, and Tieniu Tan · 2016

Earlier work this paper cites.

Brain knowledge graph analysis based on complex network theory

Hongyin Zhu, Yi Zeng, Dongsheng Wang, and Bo Xu · 2016

Earlier work this paper cites.

Species classification for neuroscience literature based on span of interest using sequence-to-sequence learning model

Hongyin Zhu, Yi Zeng, Dongsheng Wang, and Cunqing Huangfu · 2020

Earlier work this paper cites.

A collaborative ai-enabled pretrained language model for aiot domain question answering

Hongyin Zhu, Prayag Tiwari, Ahmed Ghoneim, and M Shamim Hossain · 2021

Cited alongside, same era.

Dapath: Distance-aware knowledge graph reasoning based on deep reinforcement learning

Prayag Tiwari, Hongyin Zhu, and Hari Mohan Pandey · 2021

Cited alongside, same era.

Metaaid 2.5: A secure framework for developing metaverse applications via large language models

Original

Hongyin Zhu · 2023

Cited alongside, same era.

Learning commonsense knowledge graph embedding via entity semantic aggregation

Hongyin Zhu, Ke Liu, and Zhongxiang Sun · 2023

Cited alongside, same era.

Pre-training language model incorporating domain-specific heterogeneous knowledge into a unified representation

Hongyin Zhu, Hao Peng, Zhiheng Lyu, Lei Hou, Juanzi Li, and Jinghui Xiao · 2023

Later among the works it cites.

Climate change from large language models, 2024

Hongyin Zhu and Prayag Tiwari · 2024

Closest in time.

Node classification via semantic-structural attention-enhanced graph convolutional networks

Original

Hongyin Zhu · 2024

Closest in time.