3 accepted papers
The modeling of industrial scenes is essential for simulations in industrial manufacturing. While large language models (LLMs) have shown significant progress in generating general 3D scenes from textual descriptions, generating industrial scenes with LLMs poses a unique challenge due to their deman…
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 as good as GPT-3 (davinci) and unveil how models of such a scale can be successfully pre-trained. Over the course of this effort, we fac…
For autonomous systems, the smoothness of estimated trajectories is essential to ensure robust and performant vehicle control. Unfortunately, approaches for state estimation using Kalman filters are sensitive to measurement outliers that can diverge dramatically. We propose a state-estimation algori