Large Language Models (LLMs) have demonstrated impressive capabilities f...
In this work, we investigate the problem of out-of-distribution (OOD)
ge...
Most MPC (Model Predictive Control) algorithms used in industries and st...
Large Language Models (LLMs) have demonstrated impressive zero-shot
capa...
Dynamic early exiting has been proven to improve the inference speed of ...
Albeit having gained significant progress lately, large-scale graph
repr...
Recently, much exertion has been paid to design graph self-supervised me...
Backdoor-based watermarking schemes were proposed to protect the intelle...
Graph contrastive learning has gained significant progress recently. How...
The wide application of deep learning techniques is boosting the regulat...
Entity-based semantic search has been widely adopted in modern search en...
Nonrigid point set registration is widely applied in the tasks of comput...
Automatic and accurate classification of items enables numerous downstre...