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 …

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 …

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 …

The goal of session-based recommendation in E-commerce is to predict the next item that
an anonymous user will purchase based on the browsing and purchase history. However …

Entity-and event-level conceptualization, as fundamental elements of human cognition,
plays a pivotal role in generalizable reasoning. This process involves abstracting specific …

Social media has become ubiquitous for connecting with others, staying updated with news,
expressing opinions, and finding entertainment. However, understanding the intention …

The rise of online social networks has revolutionized the way businesses and consumers
interact, creating new opportunities for customer word-of-mouth (WoM) and brand advocacy …

Understanding user intentions is challenging for online platforms. Recent work on intention
knowledge graphs addresses this but often lacks focus on connecting intentions, which is …

Knowledge Graph (KG) is playing an increasingly important role in various AI systems. For e-
commerce, an efficient and low-cost automated knowledge graph construction method is the …