298 citations · 482 across the 6 of their papers we have counts for
6 papers
ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
Team GLM, :, Aohan Zeng +56
We introduce ChatGLM, an evolving family of large language models that we have been developing over time. This report primarily focuses on the GLM-4 language series, which includes…
GridMM: Grid Memory Map for Vision-and-Language Navigation
Zihan Wang, Xiangyang Li, Jiahao Yang +2
Vision-and-language navigation (VLN) enables the agent to navigate to a remote location following the natural language instruction in 3D environments. To represent the previously v…
BPKD: Boundary Privileged Knowledge Distillation For Semantic Segmentation
Liyang Liu, Zihan Wang, Minh Hieu Phan +3
Current knowledge distillation approaches in semantic segmentation tend to adopt a holistic approach that treats all spatial locations equally. However, for dense prediction, stude…
KERM: Knowledge Enhanced Reasoning for Vision-and-Language Navigation
Xiangyang Li, Zihan Wang, Jiahao Yang +2
Vision-and-language navigation (VLN) is the task to enable an embodied agent to navigate to a remote location following the natural language instruction in real scenes. Most of the…
GLM-130B: An Open Bilingual Pre-trained Model
Aohan Zeng, Xiao Liu, Zhengxiao Du +15
We introduce GLM-130B, a bilingual (English and Chinese) pre-trained language model with 130 billion parameters. It is an attempt to open-source a 100B-scale model at least as good…
CV 3315 Is All You Need : Semantic Segmentation Competition
Akide Liu, Zihan Wang
This competition focus on Urban-Sense Segmentation based on the vehicle camera view. Class highly unbalanced Urban-Sense images dataset challenge the existing solutions and further…