Recent advancements in large language models (LLMs) have achieved promising
performances across various applications. Nonetheless, the ongoing challenge of …

Identifying users' stances regarding specific targets/topics is a significant route to learning
public opinion from social media platforms. Most existing studies of stance detection strive to …

It is crucial to automatically construct knowledge graphs (KGs) of diverse new relations to
support knowledge discovery and broad applications. Previous KG construction methods …

Commonsense reasoning, aiming at endowing machines with a human-like ability to make
situational presumptions, is extremely challenging to generalize. For someone who barely …

The task of zero-shot commonsense question answering evaluates models on their capacity
to reason about general scenarios beyond those presented in specific datasets. Existing …

Symbolic knowledge graphs (KGs) have been constructed either by expensive human
crowdsourcing or with complex text mining pipelines. The emerging large pretrained …

Conceptualization, or viewing entities and situations as instances of abstract concepts in
mind and making inferences based on that, is a vital component in human intelligence for …

Commonsense knowledge acquisition and reasoning have long been a core artificial
intelligence problem. However, in the past, there has been a lack of scalable methods to …

To enable Large Language Models (LLMs) to function as conscious agents with
generalizable reasoning capabilities, it is crucial that they possess the reasoning ability to …

The sequential process of conceptualization and instantiation is essential to generalizable
commonsense reasoning as it allows the application of existing knowledge to unfamiliar …