WellDunn: On the Robustness and Explainability of Language Models and Large Language Models in Identifying Wellness Dimensions
Language Models (LMs) are being proposed for mental health applications where the
heightened risk of adverse outcomes means predictive performance may not be a sufficient …
heightened risk of adverse outcomes means predictive performance may not be a sufficient …
A two-stage pillar feature-encoding network for pillar-based 3D object detection
H Xu, X Dong, W Wu, B Yu, H Zhu - World Electric Vehicle Journal, 2023 - mdpi.com
Three-dimensional object detection plays a vital role in the field of environment perception in
autonomous driving, and its results are crucial for the subsequent processes. Pillar-based …
autonomous driving, and its results are crucial for the subsequent processes. Pillar-based …
ESP-Zero: Unsupervised enhancement of zero-shot classification for Extremely Sparse Point cloud
J Han, Z Cao, W Zheng, X Zhou, X He, Y Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
In recent years, zero-shot learning has attracted the focus of many researchers, due to its
flexibility and generality. Many approaches have been proposed to achieve the zero-shot …
flexibility and generality. Many approaches have been proposed to achieve the zero-shot …
[PDF][PDF] The CUR Decomposition of Self-attention
Transformers have achieved great success in natural language processing and computer
vision. The core and basic technique of transformers is the self-attention mechanism. The …
vision. The core and basic technique of transformers is the self-attention mechanism. The …