Gpt4point: A unified framework for point-language understanding and generation
Abstract Multimodal Large Language Models (MLLMs) have excelled in 2D image-text
comprehension and image generation but their understanding of the 3D world is notably …
comprehension and image generation but their understanding of the 3D world is notably …
Fine-grained side information guided dual-prompts for zero-shot skeleton action recognition
Skeleton-based zero-shot action recognition aims to recognize unknown human actions
based on the learned priors of the known skeleton-based actions and a semantic descriptor …
based on the learned priors of the known skeleton-based actions and a semantic descriptor …
Pre-trained Graphformer-based Ranking at Web-scale Search
Both Transformer and Graph Neural Networks (GNNs) have been employed in the domain
of learning to rank (LTR). However, these approaches adhere to two distinct yet …
of learning to rank (LTR). However, these approaches adhere to two distinct yet …
Generative Pre-trained Ranking Model with Over-parameterization at Web-Scale
Learning to rank (LTR) is widely employed in web searches to prioritize pertinent webpages
from retrieved content based on input queries. However, traditional LTR models encounter …
from retrieved content based on input queries. However, traditional LTR models encounter …