Instruction tuning has been shown to be able to improve cross-task
gener...
Causal chain reasoning (CCR) is an essential ability for many decision-m...
We study the community detection problem on a Gaussian mixture model, in...
We prove the convergence in probability of free energy for matchings on
...
Recent work has shown success in incorporating pre-trained models like B...
We present a conditional text generation framework that posits sententia...
In the learning of systems of interacting particles or agents, coercivit...
We study the community detection problem on a Gaussian mixture model, in...
Identifiability is of fundamental importance in the statistical learning...
We study the vertex classification problem on a graph in which the verti...
Understanding event and event-centered commonsense reasoning are crucial...
Prior work has proposed effective methods to learn event representations...
The evolution and development of events have their own basic principles,...
Researchers illustrate improvements in contextual encoding strategies vi...
Recent advances, such as GPT and BERT, have shown success in incorporati...
Script event prediction requires a model to predict the subsequent event...