With the rapid development of online services and web applications, recommender systems
(RS) have become increasingly indispensable for mitigating information overload and …

E-commerce has witnessed remarkable growth, especially following the easing of COVID-19
restrictions. Many people, who were initially hesitant about online shopping, have now …

Recommender systems (RS) are vital for managing information overload and delivering
personalized content, responding to users' diverse information needs. The emergence of …

With the introduction of more recent deep learning models such as encoder‐decoder, text
generation frameworks have gained a lot of popularity. In Natural Language Generation …

Retrieval Augmented Generation (RAG) system is important in domains such as e-
commerce, which has many long-tail entities and frequently updated information. Most …

Large language models have shown great capability in dealing with long contexts. However,
when applied to question-and-answer response tasks, excessively long contexts …

Leveraging multimodal data to drive breakthroughs in e-commerce applications through
Multimodal Foundation Models (MFMs) is gaining increasing attention from the research …

Complaint Large Language Model (Complaint-LLM) is designed as a" customer service" tool
to address the scenario of handling a massive volume of public complaints, effectively …

The title of an academic paper encapsulates its core knowledge at a high level, while the
abstract provides a concise summary of the paper's content. Therefore, an automatic title …

Image forgery, as a classic form of academic mis-conduct, has garnered increasing interest
from researchers in the field of research integrity. Concurrently, automated detection and …